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Systematic Review

Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review

Department of Nutritional, Food and Consumer Sciences, Hochschule Fulda—University of Applied Sciences, Leipziger Str. 123, 36037 Fulda, Germany
Sustainability 2023, 15(23), 16434; https://doi.org/10.3390/su152316434
Submission received: 31 October 2023 / Revised: 24 November 2023 / Accepted: 24 November 2023 / Published: 30 November 2023
(This article belongs to the Special Issue Sustainability in the Food Industry)

Abstract

:
In recent decades, sustainable products have been increasingly investigated using eye-tracking. Eye-tracking is applied to the record eye movements and visual attention of consumers as they search for food, and from this, conclusions can be drawn about their sustainable food consumption. To obtain a comparative overview of the previous utilization of eye-tracking in studies on sustainable food and consumption, a systematic literature search following the guidelines of the PRISMA statement was applied. In total, 38 eye-tracking studies were identified, with six main areas of investigation emerging: eye-tracking application, labeling, consumer attention, consumer choice and preference, consumer attitude and behavior, and willingness-to-pay. The review is aimed at both researchers and managers. In future research, the sample size of eye-tracking should be increased or focused on certain age groups in order to uncover sustainable consumer habits. In addition, field and not just laboratory studies with eye-tracking need to be conducted. To obtain comparable results, it is necessary that researchers apply the same eye-tracking metrics and terms. Organic labels can influence consumer attention and purchase decisions if bottom-up factors of the labels are better aligned with other product information. Top-down factors, i.e., consumer attitude and choice, must also be taken into account.

1. Introduction

Sustainable consumption is understood as a normative concept through which people, in the interest of environmental protection and ecological integrity, should try to reduce the footprints they leave behind through the misuse of resources [1]. One possibility to minimize the impacts on the environment is by making consumers aware of sustainable food consumption or influencing their consumption behavior [2]. Since consumers are confronted with a large amount of information at the point of sale that can capture their attention and interest [3,4], the question is whether and how to raise consumer awareness so that they buy sustainable food and ultimately promote sustainable food consumption. To answer this, eye-tracking technology has been used in recent decades to examine consumers’ visual attention and thus understand consumer preferences for food [5,6,7]. Research studies about food using eye-tracking have mainly focused on the role and use of eco-labels and provide recommendations for label improvements [7,8,9,10]. A major challenge, however, is to examine sustainable food consumption and the determinants of sustainable food purchasing decisions [11]. Through a systematic literature review, this review shows how eye-tracking has been used to investigate consumers’ sustainable food consumption, what factors influence sustainable food consumption, and highlights future research opportunities. In addition, possible applications of eye-tracking are presented in detail. This study therefore provides a comparative overview of previous studies that have investigated sustainable food consumption using eye-tracking, thus expanding the knowledge of the applications and results of previous eye-tracking studies. The following research questions are asked: what has been studied in the last 18 years using eye-tracking in terms of sustainable food consumption and how has it been investigated?
The attention consumers give to food depends on the stimuli that automatically act on them (bottom-up factors) and is also determined by their interests and goals (top-down factors) [6,12,13,14,15,16]. Bottom-up and top-down processing occur simultaneously and interact with each other [17,18]. Bottom-up factors act automatically on the consumer and include certain characteristics for processing basic stimuli such as size, color, or shape [13,17]. Top-down factors are related to the person themselves [9]. They include the consumer’s voluntary search for and attention to specific product information [15] as well as the processing of individual experiences, motivations, and expectations [17]. Both factors can be considered and analyzed with eye-tracking since they influence visual attention [6,18], and their analysis can lead to a better understanding of consumer decision-making processes [17].
Eye-tracking makes it possible to obtain information about consumer decision-making by studying consumers’ search strategies based on their eye movements and visual attention to food during the purchase process [7,19,20]. This involves constructing hypothetical purchase decisions using web-based, screen-based, or head-mounted eye-trackers in different test situations, i.e., test labs [17,21] or shopping environments [5,22]. The eye-trackers are used to measure the eye movements and visual attention of test participants and to record which elements trigger stimuli or which elements the focus is on [17,23]. Accordingly, eye-tracking is applied to determine the visual stimuli of food as well as the areas of interests (AOIs) with fixation times, fixation paths of the eye, and the percentage of fixated areas. In addition, the path of visual exploration up to the selection of a product can be recorded [24].
Organic products are products that are manufactured using environmentally friendly technologies and do not pose a risk to the environment [2,25,26]. Promoting sustainable food is crucial for the conservation of natural resources and sustainable development [2], as is environmentally friendly consumer behavior. Sustainable consumption can be influenced by economics and politics as well as by technologies and the marketing mix of companies [2]. In the food industry, consumers are confronted with a lot of information (often about food labeling) [7]. When consumers engage with this information, and in particular environmental aspects, and this is then reflected in their purchase decisions, it is referred to as sustainable food consumption [2,27,28]. To help consumers to choose sustainable food, the food industry provides information on production methods (e.g., organic farming, country-of-origin, genetic modification) and on ecological and ethical aspects of food production (e.g., carbon footprint, fair-trade, animal welfare) [7]. The influence of this information on consumers and their consumption has been investigated using eye-tracking [18]. In order to obtain a comparative overview of the previous applications and their results on sustainable food consumption using eye-tracking, as well as to provide recommendations for future research, this study was conducted.
The results of this review suggest that both researchers and managers can gain a comprehensive picture of sustainable food consumption through the application of eye-tracking. Researchers can base their future research on the conclusions mentioned below. They receive an overview of how eye-tracking is used in the context of sustainable food consumption, which eye-tracking measures are applied, and which sustainability labels are investigated with eye-tracking. In addition, previous research gaps are identified, e.g., conducting field research that concentrates on specific foods or consumer groups, which needs to be taken into account in future. By using previous studies to summarize what consumers paid attention to when buying sustainable food, i.e., how sustainable labels affect them, whether and how sustainable food is preferred and selected, what should be taken into account in terms of consumer attitudes, behavior, and willingness-to-pay, managers can draw conclusions to improve the marketing of sustainable foods. This can ultimately lead to an optimization of sales of sustainable food. The material and methods of the study are described in Section 2, followed by the results and discussion in Section 3. The study is concluded with recommendations for future research streams in Section 4.

2. Materials and Methods

The systematic literature review was conducted in accordance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [29,30]. The checklist for the PRISMA guidelines can be found in the Supplementary Material. Two databases (Business Source Premier (BSP) and Web of Science (WoS)) were used to search for relevant literature. The final search was conducted on 23 October 2023 with the following search terms: (1) “eye-track*” OR “eye track*” OR “eye movement*” OR ”eye gaze” OR “visuali*” OR “visual attention” AND (2) “organic” OR “sustainab*” OR “eco*” OR “environ*” OR “green*” OR “proenvironment*” OR “pro-environment*” AND (3) “consumer behav*” OR “purchas*” OR “shopp*” OR “customer*” OR “buy*” OR “consumer choice” AND (4) “food” OR “food*” OR “grocer*” OR “beverage” OR “eat*” OR “drink*” OR “product*”. The wildcard (*) was used to include spelling variation and reduce the number of phrases while still providing a comprehensive search result. Figure 1 outlines the search strategy.
The first search for articles resulted in a total number of records of n = 909 (n = 229 BSP and n = 680 WoS). An article was included if it was (1) written in English, (2) published in a peer-reviewed journal, (3) a primary source (i.e., neither a conceptual paper nor a review), (4) published in the period 2005–2023, and (5) examining sustainable food consumption using eye-tracking. After removal of duplicates (n = 125), non-peer-reviewed journals (n = 19), and review papers (n = 33), the titles and abstracts of 732 articles were scanned (screening). In total, 681 articles were excluded and 51 full-text articles were assessed for eligibility. Thereafter, 13 full-text articles were excluded because they did not meet the indicated inclusion criteria. In total, 38 articles were included in the final analysis (see Figure 2, which shows the different stages of study selection for the systematic review following the PRISMA statement [29,30]).
Methodological Assessment
The 38 articles included in the final analysis were reviewed for following general information: authors, year of publication, journal, sampling country, food, sample size after eye-tracking and participant information, sustainable stimuli, apparatus, methodology, and measures. Table 1 shows the summary of all studies included in the systematic literature review. Because the focus of the review was on eye-tracking, all articles used at least eye-tracking as method of data collection. Only three studies used the eye-tracking methodology alone. In all other studies (92.1%), at least one other method was used. In addition to eye-tracking, questionnaires (26 studies), choice experiments (19 studies), interviews (3 studies), implicit association test (2 studies), experimental auction (1 study), observation (1 study), and face reader (1 study) were used as additional data collection methods.
The studies were conducted in 15 countries (see Figure 3). Of these, most studies were conducted in the USA (31.6%), followed by Germany (13.1%) and Italy (10.5%).
The sample size reported in this review is the number of participants whose data were analyzed after the eye-tracking and is therefore smaller than the original sample size. If more than one study was reported in an article, only the number of participants in those studies in which eye-tracking was applied were reported. The sample size of eye-tracking participants varied from 17 to 434 participants.
The age-range of the eye-tracking participants was reported in 20 studies and was grouped as follows: 18–30 years (three studies), 19–48 years (three studies), 18–59 years (three studies), and 18–65 years (eleven studies). The average age of the participants was reported in 17 studies and was 32 years. Twelve articles focused on young people and nine of these recruited participants (students) from the university environment. The gender distribution was not the same across all studies (female 57% and male 43%). In nineteen studies, the proportion of women was higher, while in seven studies, the proportion of men was higher, and in three studies, there was an even gender distribution. Nine studies did not report on the gender distribution of their participants (see Table 2).
Six articles were published in Food Quality and Preference, four articles in Sustainability, and two articles each in Ecological Economics, Journal of Business Research, Journal of Cleaner Production, and Journal of Retailing & Consumer Studies. All the other 20 articles were published in various journals (see Appendix A). The systematic literature search according to the defined criteria in the two databases shows that previous use of eye-tracking studies on sustainable food consumption was found from 2015 onwards with three publications. By 2018, this increased to six releases per year. After three years with a constant publication count of six (2018–2020), the number of publications declined and has since then remained stable at four publications per year (see Figure 4). Although eye-tracking was conducted long before 2015 [6], research interest in eye-tracking related to sustainable food consumption seems to have emerged only in the last decade (since 2015).
The most frequently examined single food in the studies reviewed were coffee and meat (both with four studies) (see Figure 5). The term “multiple” includes at least 3 foods and ranges up to 64 foods studied. Food causes different ecological footprints. Coffee, meat, cheese, and combinations of foods (“multiple”) are among the most resource-intensive foods [62]. Reducing their consumption is one of the best ways to reduce food-related greenhouse gases [62].

3. Results and Discussion

3.1. Application of Eye-Tracking

The majority of eye-tracking was carried out in laboratory settings (89%). Only four eye-tracking studies were conducted in the field, i.e., directly in the supermarket. A total of 32 screen-based eye-trackers, 7 head-mounted eye-trackers, and 1 web-based eye-tracker were used (see Figure 6). Two studies used two eye-trackers; specifically, Gidlöf et al. [36] used one screen-based and one head-mounted eye-tracker and Orquin et al. [14] used two screen-based eye-trackers.
Depend on the eye-tracker, different gaze sampling frequencies (in Hz) were used in the studies (see Figure 7). Head-mounted and web-based eye-trackers usually have a lower sampling rates, while screen-based eye-trackers have a higher sampling rate [63,64].
Different eye-tracking measures were applied in the studies (see Figure 8). Accordingly, there is no uniform framework for eye-tracking. This finding is consistent with Borgianni et al. [11], who recommended that AOIs in eye-tracking studies require the same approaches and developed a framework for evaluating AOIs for sustainable products and designs. In addition, different terms are used in the reviewed studies for same measures, such as fixation duration and fixation time. To achieve a consistent understanding in eye-tracking research, a uniform definition and application of terms is advisable in the future. In this study, the measures were transferred and are reported in a uniform system (see Appendix B) and can be used as a recommendation for future eye-tracking studies.
In total, 85 sustainability labels were investigated in the eye-tracking studies. Organic labels were the most frequently examined labels, followed by country-of-origin, carbon footprint, fair-trade, non-GMO/GMO-free, Rainforest Alliance, and region-of-origin labels (see Table 3).

3.2. Labeling

Consumers fixate on most sustainable labels [48]. Moreover, if consumers pay attention to a sustainable label at least once, they will also spend a certain amount of time looking at it [46]. While consumers pay attention to sustainable labels, according to Oselinsky et al. [46], labelling has no significant influence on food choices. Grebitus et al. [37], on the other hand, found that the labelling of food with organic labels has a significant and positive influence on consumer decisions. The majority of participants include sustainable labels in their assessment [49]. If this is the case, logo and picture labels are preferred over text labels and receive greater visual attention [13,45]. Sustainable labels should be designed with as little text as possible in order to achieve a high level of initial attention [22]. A larger and visually more eye-catching sustainable label significantly increases the fixation likelihood of that label and the impact on consumer attention [50]. Information, images, and slogans that are displayed at the consumer’s eye-level are more likely to be fixated on by consumers. Consumers require less time and cognitive effort to view sustainable labels when they are large and highly visible [51]. Larger sustainable labels, but not higher saliency, help consumers cognitively process the label [51]. Increased salience alone does not increase fixation likelihood, i.e., the combination of size and saliency is crucial [50].
Sustainable labels are hardly noticed by consumers in competition with other product information [5]. Food product appearance, price, and nutritional information are often fixated first and longest. Eco-labels are neither the first nor the longest viewed AOIs in the consumers’ product evaluation process [5]. Consumers prefer products with two organic labels over products with one label or no label [49]. Accordingly, country-of-origin labels are an important factor in signaling sustainability [48]. Carbon footprint labeling stands out for some consumers, especially when the size of the sustainable label is matched with other labels (e.g., price or nutrition labels) and it is displayed on the front of the product [33]. When it comes to menu selection, carbon footprint and local farmer labels do not influence menu choices and capture little consumer attention [31]. To increase consumer interest in organic labels, visual elements need to be considered [51]. The design of organic labels can have a significant impact on consumer attention [50]. The most important task of an organic food label is to attract visual attention in order to increase product selection [50,51].
The visual ecology of product packaging has a predictable structure that favors brand-related elements [65]. Product logo and brand images are more concise, larger, and centrally positioned than sustainability-related elements. Therefore, organic labeling is essential for organic packaging (longer dwell time and high number of fixations) and must be highlighted on the food packaging [54]. The type of bottle determines the choice of the best place for the organic label [47]. Since salience, size, and distance (bottom-up factors) increase the likelihood that consumers will fixate on a product [66], preference for brand-related elements leads to neglect of sustainable elements [14]. Changes in visual ecology and design could therefore lead to greater consumer awareness towards sustainability information.

3.3. Consumer Attention

Consumers pay attention to various attributes when choosing food [34,59]. They tend to quickly check all food alternatives, focus on a few food alternatives, and then compare key characteristics (e.g., price, animal feeding, and labels) [35]. Sustainable labels (country-of-origin or organic labels) attract consumers visual attention [21,34,57], but one-third of the consumers are not interested or do not pay attention to them [21,34]. Higher and lower prices receive more visual attention than medium prices [45]. Visual attention is related to extrinsic cue words such as local and menu choice [34]. Consumers who notice information displays at the point of sale spend more time looking at environmentally friendly products (e.g., certified coffee) than those who do not notice the information [22,39]. Sustainable criterions are more valued by consumers who spend more time attending to and fixating them [34,57]. Consumers who do not visually pay attention to sustainable logos are ignoring them [58]. Priming can significantly increase consumers’ visual attention to an environmentally friendly food product [39].
Consumers who favor text labels direct their gaze stronger and longer at the text labels than those consumers who favor logo labels [13]. Country-of-origin logo labels tend to attract consumer attention quicker and have a longer eye-tracking time than text labels [42]. Regardless of a packaging design, consumers spent most time looking at the organic label section [54]. Since the color green is associated with organic and natural characteristics, green positively influences consumers’ visual attention [39]. Thus, the color of the sustainable label matters [54].
When consumers’ visual attention is focused on organic labels, this has a significant impact on the purchase of organic foods [17]. The longer consumers gaze on foods with organic labels (hormone-free and country-of-origin labels), the more likely they are to choose that product [37]. Low-involvement products appear to attract less visual attention than high-involvement products [44]. When consumers derive greater benefit from certain properties of a food product, they also pay more attention to them visually [44]. Although visual attention influences the purchase decision process, Meyerding and Merz [44] find that different organic labels play a less important role in food purchase decision processes than expected.
In the study by Grebitus et al. [38], the label pesticide-free attracts the most visual attention, followed by the GMO-free label, and the region-of-origin label attracts the least. Consumers pay more attention to the first two labels when they are concerned about these production methods. Attention to the region-of-origin label depends on how strongly consumers associate this product with a particular region [38]. The country-of-origin label is the label consumers most often look for when selecting food [59]. The level of consumer ethnocentrism influences visual attention directed to country-of-origin labels [59].
Visual attention to sustainable food options is relative equal among hungry or satiated consumers [36], while visual intention is influenced by self-esteem and image congruence in food decision making [24]. An increase in self-esteem can lead to better food choices [24,67]. Consumers pay greater visual attention to the criteria they value higher [57]. Unless it is a top-down situation, there is no significant relationship between visual attention and food choice [45]. However, visual attention to nutritional and sustainable claims impacts food choice [60].
User comments indirectly influence the public’s willingness to purchase recycled water because they influence the perceived benefits of recycled water reuse. The higher the visual attention to user comments, the more likely it is to stimulate and promote the public’s perceived usefulness of recycled water [61].

3.4. Consumer Choice and Preference

Organic product labelling can play a role in decision making [21,51]. Country-of-origin and organic labels have a significant positive effect on consumer choice [35]. However, a third of consumers choose their meat without paying attention to its origin [35]. In a store-setting environment, hungry or satiated consumers do not make different choices when it comes to eco-labelled foods [36]. Cue words such as local seem not to be the main reason why consumers select menu items [34]. Consumers prefer impeccable foods over suboptimal foods when shopping [40]. However, when impeccable and suboptimal foods have differently designed price tags, there is a positive trend towards purchasing suboptimal foods [40].
Consumer choice is directly related to the attention consumers pay to sustainable irrigation labels [13]. Consumers who are more likely to pay attention to organic information are also more likely to choose products with organic labels [49]. Hormone-free and country-of-origin labels have statistically significant and positive effects on consumer choice [37]. Consumers prefer local and organic products over non-local and non-organic products [42]. Women are more likely to exhibit high self-esteem behavior and men are more likely to exhibit low self-esteem behavior, which means that woman are more likely to buy foods with sustainable labels than men [24].
The attention capture effect, i.e., the fixation of an organic label, determines whether the product is chosen or not, as with the design of the organic label [50,51]. Price is the most important criteria that consumers consider when choosing food. Consumers who place more value on sustainability aspects and/or price also pay more attention to this information when making food choices [57]. Consumer preference increases when a food product has an organic label [57,58].
Consumers who include organic labels in their decision process are moderately likely to choose food with one organic label and highly likely to choose food that has two organic labels [49]. Consumers’ visual attention to the certification program logo, coffee product name, or a promotional statement does not influence their food choice [56]. Higher visual attention is associated with a higher likelihood of food choice [60]. If the consumer spends more time on a particular attribute during the entire selection sequence, this leads to a higher evaluation of this attribute and, at the same time, to a preference for this attribute [60].

3.5. Consumer Attitude and Behavior

Consumers with a positive attitude towards sustainability spend more time searching for organic labels [33] and fixate on sustainable packaging and display elements longer [22]. They are more likely to remember sustainable product features and individual display elements than consumers with a negative attitude towards sustainability [22]. The amount of time consumers view logos and their spontaneous emotional response is dependent on consumers’ implicit attitudes [55]. Consumers with positive implicit attitudes towards sustainability recognize the recycling logo quicker and spend more time processing the label, which in turn leads to better emotional response attitudes [55]. The longer consumers fixate an organic label, the stronger the connection between implicit attitudes and spontaneous emotional reaction [55]. Nevertheless, there is no significant relationship between consumer attitude and overall proportion of time spent looking at the label [33]. A positive attitude towards sustainability does not automatically lead to higher overall attention to the carbon footprint label. However, consumers with a positive implicit attitude to a low carbon footprint are more likely to fixate first on the carbon footprint label rather than other labels compared to consumers with a more negative implicit attitude towards carbon footprint [33].
If a consumer pays more attention to a sustainable attribute (e.g., organic, country-of-origin labels) of a food, it is because the consumer values this attribute more than other attributes [32]. However, designing specific and colorful price tags can increase consumer awareness of organic food [40]. This can overcome the barrier to sustainable purchasing behavior [68]. The likelihood of choosing an organic food product decreases if consumers are unfamiliar with it. Visual attention likely counteracts this behavior [37]. Consumers who have sustainable purchase intentions and generally look for environmentally friendly foods tend to take their environmental attitudes into account [39]. Knowledge about sustainability correlates significantly with the purchase of organic food [17].
There are no significant differences in food-elicited emotions between organic and non-organic samples [41]. Consumers tend to exaggerate their positive emotional attitudes towards organic over non-organic food and their negative emotional attitudes towards non-organic over organic food [41]. When consumers are presented with two samples, non-organic versus organic, they have the same emotional attitudes. This can change if consumers know they are testing a non-organic or organic sample [41].
The presence of environmentally friendly aspects in organic foods does not lead to increased emotional involvement of consumers, i.e., organic foods do not arouse more curiosity and excitement among consumers than conventional products [43]. The attitude-behavior gap shows that consumers’ interest in sustainability issues does not reflect their consumption decisions [43]. Consumers who know and understand sustainable labels pay more attention to them than consumers who do not [53]. In addition, visual attention and positive purchase intention are stronger among consumers who understand the meaning or purpose of organic labels [53]. Awareness and level of interest in sustainability issues of certified coffee and purchase experiences have no influence on consumer purchasing behavior [56]. Since there is no statistical correlation between the duration of the logo fixation and the purchases, the logo does not appear to be a decisive factor in consumers’ purchasing behavior [56]. Consumers do not need to focus on some visual attributes to the same extent as other attributes because they already know them [58].
A majority of participants (54%) do not evaluate the product information of the foods they purchase, suggesting habitual shopping [5]. This is also evident among consumers who prefer foods with organic labels. Organic labels are neither the first nor the longest observed attribute in the consumer product evaluation process [5]. Consumers do not actively look for environmentally friendly information during their decision process [5]. This means that consumers pay little attention to sustainable labels when buying food. To gain attention and influence consumer behavior, the visibility of sustainable labels should be improved.

3.6. Willingness-to-Pay (WTP)

Price is an important attribute for consumers and has a significant negative coefficient [35]. This means that the price of organic food has a significant negative impact on the purchase of organic food [17,43,44]. Sustainable labels (local or organic labels) cannot guarantee increases in sales [21], since they are commonly associated with higher prices [48]. The higher the price, the less likely consumers are to buy organic food [60]. However, when consumers look longer at the organic area, the likelihood of purchasing the organic food increases [17]. Compared to a control group, the vast majority of consumers are willing to pay 15% or more for wine labeled “sustainable irrigation” [13]. Other studies also show that consumers are willing to pay a premium after considering (viewing) sustainable production characteristics [13,38,39,52]. In addition, they are also willing to pay a higher price for products with a logo label than for products with text labels or without a label [42]. Images of forests on the labels of certified forest coffee attract the visual attention of consumers and additionally stimulate the actual purchase of certified forest coffee [56]. However, information about the certification program displayed on the certified coffee has no additional purchase effect [56]. Additionally, mood does not influence organic purchases significantly [22].
As consumer attention shifts from product claims and price to nutritional value and ingredients, consumers are less price sensitive and expect better product quality when purchasing eco-labeled food [5]. Consumers are therefore willing to pay a premium for organic food if they attach importance to sustainability aspects and pay more visual attention to sustainability information [57]. A positive attitude towards sustainability tends to increase the willingness-to-pay for organic food [22]. Also, the perceived benefit and quality of recycled water has a positive effect on the population’s willingness to purchase the product, while the perceived risk of recycled water influences the willingness-to-purchase negatively [61].

4. Conclusions

Following the search strategy (see Figure 1), studies investigating sustainable food consumption using eye-tracking were found from 2015 onwards, although the systematic literature search started from 2005. Accordingly, the research focus in this study is very current and needs to be pursued further to obtain relevant information on sustainable food consumption with eye-tracking. Eye-tracking plays an important role in food sustainability research [7], as evidenced by the number of publications found and analyzed in this systematic literature review. Since the review is limited to selected search terms and to two databases, the actual potential of the research area is not fully demonstrated.
The following should be taken into account in the future. As mentioned, the sample size varied from 17 to 434 participants. This represents a wide range of variation. In eye-tracking in particular, it appears that the number of participants is reduced because participants do not fulfill the prerequisite for eye-tracking or their eye-tracking data cannot be evaluated [69]. Because it is easier to recruit participants from university environments, nine studies (24% of the studies) did so. This recruitment then only includes certain consumer group (35% of participants in the studies are younger (<30 years)). In order to be able to investigate larger sample sizes in everyday shopping, scientific personnel and appropriate financial resources are required for research organization and implementation. Only four studies use eye-tracking directly in the supermarket. This points to limitations of the reviewed studies, since the focus is on a specific consumer group (younger) and environment (university setting). It can be assumed that the results of young consumers or undergraduate students cannot be generalized. Therefore, in the future, the sample size should be increased or focused on specific age groups or social milieus in order to uncover, with eye-tracking, specific consumption habits with regard to sustainable food consumption. Consumer groups need be recruited from various life situations and social milieus, not only from the university environment. Despite the organizational and financial effort, field studies with eye-tracking must be carried out in real shopping situations and not just in the laboratory [70].
The selection of food examined in the studies is broad. It can be assumed that coffee and meat are the most frequently examined foods in these studies because coffee and meat have high carbon dioxide emissions [71]. Future studies should specify why which foods are being examined or focus on foods that can make a significant contribution to sustainability. It might be helpful to focus on one food in each study to make the results comparable and also to provide a country comparison across different consumer groups. Food selection could be connected with the specific characteristics of consumers. Categories that arise from social milieus, such as age, gender, and income, could be taken into account in order to select foods specifically according to certain consumer behavior. As the socio-demographic characteristics of the eye-tracking participants were not specified in most of the studies, it was not possible to form meaningful categories regarding to this in this review. Future studies should specifically include the socio-demographic characteristics of participants after the eye-tracking is carried out so that it is possible to determine sustainable food consumption across different social milieus. Since different measures are used for eye-tracking, it is necessary to find in future a uniform application of the measurement variables so that equivalent results can be obtained. The attempt to generalize eye-tracking scenarios by Borgianni et al. [11] can lead in this direction (see also Appendix B).
Salience, size, and distance (so-called bottom-up factors), as well as the color of the organic label, increase the likelihood that consumers fixate on a food [16,54] and most likely influence the purchase decision [17,37]. Particular food marketers and policy makers could use this finding to adjust label size and saliency relative to other elements to increase consumer attention toward organic food [50]. Consumers who have a positive attitude towards sustainability [55] search for organic labels [33], fixate them long [22], and are more likely to buy organic food [57,58,60]. Nevertheless, organic food does not arouse more curiosity and excitement among consumers than conventional food [43]. To increase sustainable food consumption, consumers should be informed and educated about the importance of sustainable consumption and the meaning of organic labels [5,53,57]. Retailers could influence consumer intent to purchase sustainable food by displaying relevant information, orienting consumers in-store, and offering an environmentally friendly product assortment [39]. Since higher prices reduce the purchase probability of sustainable food [44], policy makers and mangers have to think about how sustainable food can be made affordable. Even if the different design of price tags shows a positive trend towards buying sustainable food [40], this cannot be an option to increase sustainable food consumption in the long run.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su152316434/s1, PRISMA Checklist from [72].

Funding

I acknowledge support by the Open Access Publishing Fund of Hochschule Fulda—University of Applied Sciences.

Conflicts of Interest

The author declares no conflict of interest.

Appendix A

Table A1. Number of publications by journal.
Table A1. Number of publications by journal.
Journal#
Agribusiness1
Agricultural Economics1
Agronomy1
Appetite1
Behavioral Sciences1
Beverages1
Business Systems Research1
European Review of Agricultural Economics1
Foods1
Frontiers in Sustainable Food Systems1
International Journal of Environmental Research and Public Health1
Journal of Agricultural & Food Industrial Organization1
Journal of Agricultural and Applied Economics1
Journal of Choice Modelling1
Journal of Economic Behaviour & Organization1
Journal of Food Products Marketing1
Journal of Neuroscience, Psychology, & Economics1
Journal of Sustainable Tourism1
Psychological Science1
Semiotica1
Ecological Economics2
Journal of Business Research2
Journal of Cleaner Production2
Journal of Retailing & Consumer Services2
Sustainability4
Food Quality and Preference6
Table A2. Number of publications by research areas.
Table A2. Number of publications by research areas.
Research AreaCount%
Business and Economics1425.000
Food Science and Technology1119.643
Environmental Sciences and Ecology814.286
Science and Technology—Other Topics712.500
Agriculture47.143
Psychology35.357
Engineering23.571
Social Sciences—Other Topics23.571
Arts and Humanities—Other Topics11.786
Behavioural Sciences11.786
Nutrition and Dietetics11.786
Plant Sciences11.786
Public, Environmental and Occupational Health11.786
Table A3. Number of publications by Web of Science Categories.
Table A3. Number of publications by Web of Science Categories.
Research AreaCount%
Food Science and Technology1116.667
Environmental Sciences913.636
Economics812.121
Green and Sustainable Science and Technology710.606
Business69.091
Environmental Studies69.091
Agricultural Economics and Policy46.061
Psychology, Multidisciplinary34.545
Ecology23.030
Engineering, Environmental23.030
Agronomy11.515
Behavioral Sciences11.515
Hospitality, Leisure, Sport and Tourism11.515
Humanities, Multidisciplinary11.515
Nutrition and Dietetics11.515
Plant Sciences11.515
Public, Environmental and Occupational Health11.515
Social Sciences, Interdisciplinary11.515

Appendix B

Table A4. Corresponding eye-tracking measure.
Table A4. Corresponding eye-tracking measure.
Corresponding MeasureMeasure in Reviewed StudiesAuthors
Dwell time
  • Time spent;
  • How long looked at;
  • Amount of attention;
  • Time of attention focused on a particular point;
  • How long the attribute in question is attended to until the participant makes a choice;
  • Sum of fixations and saccades on objects of interest;
  • (Average amount of) time participants spent looking at a specific AOI.
[21,31,32,37,39,41,47,51,54]
Fixation count
  • (Total) number of fixations (within each AOI);
  • Times looked at;
  • (Total) number of times a participant fixates (their gaze) on an AOI;
  • Total number of fixations that a participant makes on an AOI;
  • Number of fixations per attribute;
  • Number of fixations for each AOI.
[13,17,32,34,35,42,43,44,45,48,52,53,54,57,58]
Fixation distribution
  • Attention distribution.
[40]
Fixation duration
  • (Total) fixation time;
  • (Total) fixation duration;
  • Total duration of fixation;
  • Total durations participant fixates on an AOI;
  • Duration of all the fixations on an AOI;
  • Duration of all gaze points in the AOI;
  • Duration each participant visits each AOI;
  • Sum of all fixation durations within a given AOI;
  • Sum of fixation duration for each AOI;
  • Length of time a participant fixates within an AOI.
[13,17,22,24,34,35,36,40,42,43,44,45,48,51,53,55,56,57,61]
First fixation
  • First evaluated AOI;
  • Information paid attention to first;
  • Where the first fixation occurs.
[5,33]
Fixation likelihood
  • Likelihood of fixation;
  • Whether the label captures attention at all during the decision process;
  • Fixating on the label at least once.
[14,46,49,50]
Number of intervalsto first fixation
  • Number of gaze points before a fixation and what the focus of that first fixation is.
[33]
Return visits
  • Number of times the individual returns to the product (with a fixation).
[24]
Saccades count
  • Number of relevant saccades.
[43]
Saccades duration
  • Total duration of the saccades.
[43]
Time to first fixation
  • Starts when participant first sees the item and ends when she/he first look at the AOI;
  • Time from the start to the label display until the participant fixes her/his gaze on the AOI for the first time;
  • Time until the first fixation within the AOI is detected;
  • How many seconds it takes to first fixate on a particular AOI from the time the display appears;
  • Time a participant takes to fixate on a “product” for the first time;
  • Average amount of time in seconds participant needs to notice specific AOI from the stimulus onset;
  • Time in seconds from the stimulus onset until the start of the first fixation in the AOI.
[13,17,24,31,40,42,47,51,54,55]
Visit count
  • Total number of visits a participant makes to an AOI;
  • Time span between the start of the first eye movement inside the AOI to the end of the last eye movement in the same AOI;
  • Number of visits within each AOI;
  • A visit includes both saccades and fixations during the time the eyes first fixate on an AOI until they move out of it.
[17,44,45,48]
Visit duration
  • Total length of time a participant spends in the AOI;
  • Total number of seconds that a participant looks at a particular AOI over the total time she or he is observing the presented slide;
  • Total time each participant visits each AOI;
  • Duration of all visits within an AOI;
  • Sum of visit durations of an active AOI.
[5,17,38,42,44,45,48,59,60]

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Figure 1. Search strategy.
Figure 1. Search strategy.
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Figure 2. Flow chart of the systematic literature review according to PRISMA (adapted from [29,30]).
Figure 2. Flow chart of the systematic literature review according to PRISMA (adapted from [29,30]).
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Figure 3. Overview of the countries in which the eye-tracking studies were carried out.
Figure 3. Overview of the countries in which the eye-tracking studies were carried out.
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Figure 4. Number of publications per year.
Figure 4. Number of publications per year.
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Figure 5. Overview of the foods investigated in the studies (n = 38).
Figure 5. Overview of the foods investigated in the studies (n = 38).
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Figure 6. Eye-trackers used in the reviewed studies.
Figure 6. Eye-trackers used in the reviewed studies.
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Figure 7. Frequency and sampling rates (Hz) of the eye-trackers in all 38 studies.
Figure 7. Frequency and sampling rates (Hz) of the eye-trackers in all 38 studies.
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Figure 8. Frequencies of the measures applied in the eye-tracking studies.
Figure 8. Frequencies of the measures applied in the eye-tracking studies.
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Table 1. Summary of all studies included in the systematic literature review.
Table 1. Summary of all studies included in the systematic literature review.
Author (Year)Sampling CountryFoodSample Size after Eye-Tracking and Participant InformationSustainable StimuliApparatusMethodologyMeasureKey Findings on Sustainable Food Consumption
Babakhani, N. et al., (2020)
[31]
AustraliaMenu:
6 burgers,
4 drinks, and
4 desserts
54 (17 control, 19 carbon label, and 18 local farmer group)
17–67 years, 32 years on
average and 62% female
Local farmer
and carbon footprint label
Desktop mounted eye-tracker Tobii TX-300 (300 Hz) [Tobii AB, Danderyd, Sweden]Eye-tracking,
interview,
questionnaire
Dwell time,
time to first
fixation
Carbon and local farmer labels do not influence menu choices and capture little consumer attention.
Balcombe, K. et al., (2017)
[32]
UKMeat on
pepperoni pizza
100
Wide range of ages (larger
portion of young people than in the population as well as few participants over 55 years), 53 female and 47 male
Organic and country-of-origin label (farming system)EyeLink II, SR
Research (500 Hz) [SR Research Ltd., Ottawa, ON, Canada]
Eye-tracking, questionnaireDwell time,
fixation count
Consumers who value sustainable characteristics of food (organic, country-of-origin) are more likely to pay attention to these characteristics.
Beattie, G. & McGuire, L. (2015)
[33]
UKMuesli,
washing
powder,
ice lollies,
and cake mix
32
University undergraduates
Carbon footprint labelASL Model 504
remote eye tracker (120 Hz) [Applied Sciences Laboratory, Spokane, WA, USA] and mpeg2 video
editing program
Eye-tracking,
implicit association test,
questionnaire
First fixation, number of
intervals to
first fixation
Consumers with a positive attitude toward carbon footprint do not spend significantly more time paying attention to the carbon footprint label, but they are more likely to pay attention to it first (than to other labels) than consumers with a more negative attitude.
Carbon footprint labeling stands out for some consumers when the size of the label is matched with other labels.
Conoly, Y.K. and Lee, Y.M. (2023)
[34]
USAMenu choice50
19–64 years, 30.76 years on
average, 26 (52%) female and 24 (48%) male, 56% (n = 28)
Undergraduate or graduate students
Region-of-origin (local) labelTobii X2-60 screen-based eye tracker [Tobii AB, Danderyd, Sweden], 17-inch monitor (1280 × 1024 pixel), and Tobii Studio Analysis 1.152
software
Eye-tracking, questionnaireFixation count, fixation
duration
The extrinsic cue word local on menu choices relates to visual attention. Participants who choose the menu item with the word local appear to look at it more frequently before making their final menu selection.
Drexler, D. et al., (2018)
[21]
Czech
Republic
Cucumbers,
peppers, apple juice, milk, mead, yogurt,
and flour
147 (88 experimental group and 59 control group)
20–23 years, 64 female and 24 male experimental group, 41 female and 18 male control group
Students
Local and organic labelSMI RED 250 (250 Hz) [SensoMotoric Instruments, Teltow, Germany]Eye-tracking,
interviews
Dwell timeEco-labels (local or organic label) attract consumer attention and play a role in decision-making, but a third of the consumers pay no attention to them.
Dudinskaya, E. et al., (2020)
[35]
ItalyRuminants’
meat
23
24 years average age, 8 female and 15 male
Young participants (students) and meat consumers
Country-of-origin, organic, Halal, animal feeding, protected geographical indication, and carbon footprint labelTobii X2-60 screen-based eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] with
iMotions software
Choice
experiment,
eye-tracking, questionnaire
Fixation count, fixation
duration
Origin and organic labels have a significant positive effect on consumer choice, but a third of the consumers choose their meat without paying attention to its origin.
Fernández-Serrano, P. et al., (2022)
[13]
SpainWine64 (32 front-labels and 32
back-labels)
18–63 years front-labels and
18–61 years back-labels
Sustainable Irrigation labelTobii Pro-Nano screen-based
eye-tracker [Tobii AB, Danderyd, Sweden] with Tobii Pro Lab-Full
Edition 1.152 software (60 Hz)
Choice
experiment,
eye-tracking, questionnaire
Fixation count, fixation
duration, time
to first fixation
Consumers prefer logo and picture labels over text labels.
Consumer choice is directly related to the attention they pay to sustainable irrigation label.
Consumers are willing to pay a premium for products (wine) with sustainable production characteristics.
Gidlöf, K. et al., (2021)
[36]
SwedenPastaStudy 1: 60, study 2: 100
Study 1: 24.25 years average age, 21 female and 39 male
Study 2: 25 years average
age, 58 female and 42 male
Organic labelStudy 1: Tobii Pro [Tobii AB, Danderyd, Sweden] Glasses 2 (50 Hz)
Study 2: Tobii Pro Spectrum eye tracker (1200 Hz) [Tobii AB, Danderyd, Sweden]
Eye-tracking, questionnaireFixation
duration
Visual attention and consumer choices to eco-labelled food options is relative equal among hungry or satiated consumers.
Giray, C.
et al., (2022)
[17]
TurkeyBanana,
apple,
strawberry,
carrot,
and tomato
60 (30 experiment group and 30 control group)
20–45 years, 60 woman all with children aged 0–18
Organic label
(organic purchase decisions and consumption)
Tobii T120 (120 Hz) [Tobii AB, Danderyd, Sweden], 17-inch
monitor (1280 × 1024 pixel), Adobe Flash software, and Attention Toll 5.2 software
Eye-tracking, questionnaireFixation count, fixation
duration, time
to first fixation, visit count,
visit duration
The price of organic products has a significant negative impact on the purchase of organic products, but visual attention (longer gaze at the organic area) increases the likelihood of a purchase.
The level of knowledge correlates with organic purchases.
Grebitus, C. et al., (2015)
[37]
USACheddar
cheese
130
Higher share of younger
participants, 65 female and 65 male, better educated and higher income on average
than the general population, household size on average
between 2 and 3
Hormone-free, country-of-origin,
region-of-origin, and
biodegradable packaging label
Tobii R T60 XL screen-based
eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Studio 2.2 software
Choice
experiment,
eye-tracking
Dwell timeApplying organic labels has a significant and positive effect on consumer decisions and choice.
The probability of choosing an organic product decreases if consumers are not familiar with it. However, visual attention probably works against this behavior.
Grebitus, C. and van Loo, E.J. (2022)
[38]
USAMedjool
dates
117
30 years average age, 56.4%
female and 43.6% male, slightly higher than income
of the population
Pesticide-free and genetically modified
organisms-free (GMO-free) label
Tobii T60 XL screen-based
eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Studio 2.2 software
Choice
experiment,
eye-tracking, questionnaire
Visit durationConsumers are willing to pay a premium for products with sustainable production characteristics.
Higher visual attention to a particular production method label brings with it consumer concerns and consumer attachment to the region.
Guyader, H. et al., (2017)
[39]
SwedenCoffee and
fabric softener
66
23 year average age
Students
Organic and fair-trade label (colored price tags to signal eco-friendly products)SMI
eye-tracking glasses (60 Hz and 1280x 960 pixel video resolution) [SensoMotoric Instruments, Teltow, Germany] with SMI BeGaze software
Eye-trackingDwell timeParticipants paying attention to environmentally friendly food pay a premium.
Priming can increase consumers’ visual attention to sustainable labeling.
The color green influences visual attention since it is associated with organic and natural characteristics.
Helmert, J.R. et al., (2017)
[40]
Germany Cucumber,
banana,
piece of butter, juice carton,
carrot, apple, milk carton, and pile of cookies
30
40 years average age,
21 female
Visually
suboptimal
food
EyeLink 1000
eye-tracking
system (1000 Hz) [SR Research Ltd., Ottawa, Ontario, CA] and 19-inch CRT monitor (Iiyama
Vision Master 451; screen resolution 1024 × 768 pixels)
Eye-tracking, questionnaireFixation
distribution,
fixation
duration, time
to first fixation
Consumers prefer impeccable food compared to suboptimal food when shopping. When impeccable and suboptimal foods have differently designed price tags, a positive trend towards purchasing suboptimal food emerges.
Ismael, D. and Ploeger, A. (2020)
[41]
GermanyApple, orange juice (bottles), walnut,
oregano, red
bell pepper,
coffee, and
pear fruit
46
19–48 years, 65% female and 35% male, 96% moderate to very good level of knowledge on organic food, 75% students, 20% employees, and 5%
neither students nor
employees
Organic label
(organic and conventional sample)
SMI RED-250 screen-based
eye-tracker (60 Hz) [SensoMotoric Instruments, Teltow, Germany]
Choice
experiment,
eye-tracking, questionnaire
Dwell timeThere are no significant differences in implicit food-elicited emotions between organic and conventional food items.
Katz, M.
et al., (2019)
[42]
USAApples,
blueberries,
and sweet corn
255 (88 apples, 81 blueberries, and 86 sweet corn)
37, 44, and 38 years average age (apple, blueberries, and sweet corn), 60%, 57%, and 69% female
Organic and country-of-origin label
Sustainably
(certified organic, local) grown
logo labeled vs. text labeled
produce
Tobii X1 Light screen-based
eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Studio 3.0.2.218 software
Choice
experiment,
eye-tracking
Fixation count, fixation
duration, time
to first fixation, visit duration
Local logo labels attract consumer attention quicker and have a longer eye-tracking time than text labels.
Consumers prefer local and organic products to non-local and non-organic products.
Consumers are also willing to pay a higher price for products with logo labels than for products with text or no labels.
Lamberz, J. et al., (2020)
[22]
GermanyJuice32Organic label
Sustainable and regional food (regionality)
Tobii Pro Glasses 2 (50 or 100 Hz) [Tobii AB, Danderyd, Sweden]Eye-tracking, questionnaireFixation
duration
Consumer with a positive attitude towards sustainable food fixate on sustainable packaging and sustainable display elements longer, deal more intensively with product information, and are more likely to remember sustainable product features and individual display elements.
Sustainable information is more likely to be perceived by consumers if it is displayed at eye-level.
A positive attitude towards sustainability tends to increase the willingness-to-pay for sustainable food.
Leon, F.A. et al., (2020)
[24]
BrazilTransgenic
and organic products
30
18–30 years
Study or work at the
university campus
Organic label
Organic and non-organic products
Tobii T120 screen-based eye-tracker (120 Hz) [Tobii AB, Danderyd, Sweden] and
17-inch monitor
Choice
experiment,
eye-tracking
Fixation
duration, time
to first fixation, return visits
Visual attention is influenced by self-esteem and image congruence in food decision-making.
Women are more likely to buy food with sustainable logos than men because they are associated with high self-esteem behavior.
Maccioni, L. et al., (2019)
[43]
ItalyDifferent
products
(not all foods)
43
20–45 years, 20 female and 23 male, various backgrounds
Approx. half currently
studying or have studied
engineering while the other ones were mainly involved in humanistic studies
Green products (communicating sustainable
features)
Tobii X2-60 Hz screen-based
eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden], 23-inch LCD color monitor, TEA
Captiv T-Sens GSR, and Tobii Pro
Studio software
Eye-tracking, questionnaireFixation count, fixation
duration,
saccades count, saccades
duration
Consumers’ interest in sustainability issues is not reflected in their consumption decisions.
Sustainable foods cause no increased emotional involvement among consumers than conventional foods.
Price is a relevant issue and consumers may be discouraged from purchasing green products.
Meyerding, S.G.H. and Merz, N. (2018)
[44]
GermanyBraeburn
apples
73
34.86 years average age,
35 female and 38 male
Organic labelTobii Pro Glasses 2 (50 Hz) [Tobii AB, Danderyd, Sweden], 27-inch flat screen monitor with a common
resolution of 1280 × 1024 pixel, and Tobii Pro Lab 1.58 software
Choice
experiment,
eye-tracking, questionnaire
Fixation count, fixation
duration,
visit count,
visit duration
Low-involvement products attract less visual attention than high-involvement products.
Different organic labels play a less important role in decision-making processes than expected since visual attention influences purchase decision-making processes.
Higher prices tend to reduce the purchase probability.
Meyerding, S.G.H. (2018)
[45]
GermanyTomatoes17
27 years average age,
10 female and 7 male
Organic, country-of origin, fair-trade, and carbon footprint labelTobii Pro Glasses 2 (50 or 100 Hz) [Tobii AB, Danderyd, Sweden], 42-inch screen, and Tobii Pro Lab 1.55.5126 (x64)
software
Choice
experiment,
eye-tracking, questionnaire
Fixation count, fixation
duration,
visit count,
visit duration
Unless it is a top-down situation, there is no significant relationship between visual attention and selection.
Picture labels receive more visual attention than text labels.
Higher and lower prices receive more visual attention than medium prices.
Orquin, J.L. et al., (2020)
[14]
DenmarkConsumer
products
(packaged
dairy product categories)
Study 1: 91
Study 2: no eye-tracking
21–59 years
Organic and Keyhole labelTobii 2150 screen-based eye-tracker (50 Hz) [Tobii AB, Danderyd, Sweden], EyeLink 1000 (1000 Hz) [SR Research Ltd., Ottawa, Ontario, CA], and Tobii Studio
Software
Choice
experiment,
eye-tracking
Fixation
likelihood
Salience, size, and distance (bottom-up factors) increase the likelihood that consumers fixate on food.
The preference for brand-related elements leads to the neglect of sustainable elements.
Oselinsky, K. et al., (2021)
[46]
USADifferent foods from food
categories,
including
cookies, ice creams,
crackers, nuts, chips, salty snacks (pretzels, cheese puffs,
and rice cakes), yogurts, soups, cereals, meats, pizzas, canned fruit, canned vegetables, and
frozen fruit and vegetables
434 (203 phase 1:
70 GMO free, 63 contains GMOs, and 70 control;
231 phase 2: 61 GMO free,
128 contains GMOs, and 42 control)
19 years average age (generation z), 62% female phase 1 and 61% female phase 2,
Undergraduate students
GMO-free labelEyeLink 1000
(1000 Hz) [SR Research Ltd., Ottawa, Ontario, CA]
Choice
experiment,
eye-tracking, questionnaire
Fixation
likelihood
Consumers who at least once fixate on sustainable labels spend some portion of time looking at them.
Consumers pay attention to sustainable labels, but the labels have no significant impact on food choices.
Ozturk, E. et al., (2023)
[47]
ItalyTwo different shaped wine
bottles
24
20–59 years (30.25 years
average age), equal gender
distribution
Students and non-research staff from university
Organic labelTobii X2-60 screen-based eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden], LCD
monitor with a
resolution of 1920 × 1080 pixel, and iMotions 7.1 software (60 Hz)
Eye-trackingDwell time,
time to first
fixation
Shoulder area and the top of a bottle are the best parts for drawing consumers’ visual attention and interest to organic labels.
The type of bottle determines the choice of the best place for the organic label.
Padilha, L.G. et al., (2021)
[48]
AustraliaChicken meat products30
Older than 18 years,
60% female and 40% male,
8% university degree
RSPC approved farming scheme, free-range, accredited free-range, and antibiotic-free labelTobii Pro TX300 screen-based
eye-tracker (300 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Pro Lab 1.123 software
Choice
experiment,
eye-tracking,
interview,
questionnaire
Fixation count, fixation
duration,
visit count,
visit duration
Consumers notice (fixate on) most sustainable labels.
Perkovic, S. and Orquin, J.L. (2018)
[49]
DenmarkChoice sets of processed foods71
18–74 years (45.73 years
average age),
19 female and 52 male
Organic and Keyhole labelTobii T60 XL screen-based
eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and screen
resolution of 1920 × 1200 pixel
Eye-tracking, questionnaireFixation
likelihood
Consumers generally prefer products with two organic labels over products with either one label or no label.
For non-label users, the choice is almost random for products with organic labels.
When organic food and healthy food are positively correlated, consumers pay more attention to organic food when assessing the healthiness of food. In this case consumers are more likely to focus on the organic information and more likely to choose products with an organic label.
Peschel A.O. et al., (2019)
[50]
DenmarkTomatoes,
chocolate,
and yoghurt
127
75% in the 18–24 year age group, 57% female
Students (57% undergraduate students)
Organic labelTobii T60 XL screen-based eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Studio
software
Choice
experiment,
eye-tracking
Fixation
likelihood
A larger and visually more eye-catching label significantly increases the fixation likelihood of that organic label.
The consumers’ fixation on the organic label decides whether they choose the product or not, same as the design of the organic label.
Proi, M. et al., (2023)
[51]
ItalySmoked
salmon and smoked sea
bass
61
18–64 years, 54% female and 46% male, students and
workers, most participants were aged between 35 and 44 years, had a doctoral degree and were employed
Aquaculture
Stewardship Council (ASC), Friend of the Sea, and GGN certified aquaculture label
Tobii X2-60 screen-based eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden], 22-inch monitor screen, and iMotions Attention Tool 8.0 softwareChoice
experiment,
eye-tracking
Dwell time,
fixation
duration, time
to first fixation
Size and salience of eco-labels influence visual attention.
Larger organic labels, but not higher salience, help consumers cognitively process the organic label.
Shape, symbols, and the language in which the organic label is written influence consumer preference.
Rihn, A.L. and Yue, C. (2016)
[52]
USAApple juice
and salad mix
93
51 years average age without young (<12 years old)
children at home, 73% female
Organic, country-of-origin, and nutrient content claim labelTobii X1 Light Eye Tracker (60 Hz) [Tobii AB, Danderyd, Sweden]Experimental auction,
eye-tracking, questionnaire
Fixation countConsumers are willing to pay a premium for local produced food.
Samant, S.S. and Seo, H.S. (2016)
[53]
USAChicken breast meat products29
44 years average age,
18 female and 11 male
Organic labelRED, SMI eye-tracker (120 Hz) [SensoMotoric Instruments, Teltow, Germany], 22-inch monitor screen, stimulus presentation software (Experiment suite 360 TM), and BeGaze softwareEye-trackingFixation count, fixation
duration
Consumers who are familiar with sustainable labels pay attention to them for longer than consumers who are not. When the meaning and purpose of organic labels are understood, visual attention and positive purchase intention are pronounced.
Sola, H.M. et al., (2022)
[54]
CroatiaMashed
tomato and
mix of spices
33
18–65 years
Organic and Bio labelTobii Sticky online platform for webcam-based eye-tracking (15 Hz) [Tobii AB, Danderyd, Sweden], Tobii Sticky software, and G*PowerEye-tracking, questionnaireDwell time,
fixation count, time to first
fixation
The color of the organic label matters.
Organic labeling is essential for organic packaging and must be highlighted on the packaging.
Song, L. et al., (2019)
[5]
USAProduct
categories: bakery, beverage, canned/jarred/
dried goods, cooking/baking goods and spices, dairy, frozen food, health, and seafood, kitchen/ cleaning/
bathroom
supplies, meat and seafood, produce, snacks, and others
156Organic, non- GMO, certified Humane, Program for the Endorsement of Forest Certification (PEFC), Sustainable Forestry Initiative, 100% recycled paperboard, Forest Stewardship Council, Dolphin Safe, Rainforest Alliance certified, Fair-trade certified, and transitional certified by QAI labelTobii Pro Glasses 2 (50 or 100 Hz) [Tobii AB, Danderyd, Sweden] and Tobii Pro Lab
software
Eye-tracking,
observation, questionnaire
First fixation, visit durationOrganic labels are neither the first nor the longest fixated products in consumers’ product evaluation process.
Organic labels receive little attention in competition with other product information.
Consumers are less price sensitive when purchasing eco-labelled products and expect better product quality.
Consumers rely on habitual shopping (54% of consumers do not fixate on any product information for the items they buy).
Songa, G.
et al., (2019)
[55]
BelgiumDairy
products
89
20–25 years (22 years average age), 67% female
Students
Recyclable labelSMI-RED250
eye-tracker (250 Hz) [SensoMotoric Instruments, Teltow, Germany], Dell 17.3-inch monitor, and face recoding software (Noldus
FaceReader5)
Face reader,
eye-tracking,
implicit
association test, questionnaire
Fixation
duration, time
to first fixation
The amount of time consumers view logos and the spontaneous emotional response dependents on consumers’ implicit attitudes. A positive implicit attitude towards sustainability means that an organic label is recognized more quickly.
The longer consumers fixate on an organic label, the stronger the connection between implicit attitudes and spontaneous emotional reaction.
Takahashi, R. et al., (2018)
[56]
JapanCoffee246 (123 group with information and 123 group without information)
21 years average age,
47% female (41% female group with information and 53%
female group without
information)
Students
Certified coffeeTobii T60 screen-based eye-tracker (60 Hz) [Tobii AB, Danderyd, Sweden] and 17-inch single-screenChoice
experiment,
eye-tracking, questionnaire
Fixation
duration
Images of forests on certified forest coffee labels attract consumers’ visual attention and further stimulate the actual purchase of certified forest coffee.
Information about the certification program displayed on the certified coffee has no purchasing effect.
Awareness and level of interest in sustainability issues of certified coffee and purchase experiences have no influence on consumer-purchasing behavior.
Consumers’ visual attention to the certification program logo, coffee product name, or a promotional statement does not influence choice.
van Loo, E.J. et al., (2015)
[57]
USARoasted
ground coffee
81
Each age and income
category is represented,
53% female, sample slightly
biased towards higher
education
Organic, fair-trade, Rainforest Alliance, and carbon footprint labelRED, SMI screen-based eye-tracker (120 Hz) [SensoMotoric Instruments, Teltow, Germany], high-
resolution
computer screen (22-inch),
Experiment Suite 360°, and BeGaze software 3.0
Choice
experiment,
eye-tracking, questionnaire
Fixation count, fixation
duration
Sustainability criterions are more valued by consumers who spend more time attending to and fixating on them.
Consumer preference increases when an organic label is on the coffee package.
Consumers who place more value on sustainability aspects and/or price will also pay more attention to this information when making food choices. Sustainability aspects therefore attract a high degree of visual attention.
Consumers who value sustainability aspects and visually pay more attention to sustainability information are also willing to pay more for sustainable products.
van Loo, E.J. et al., (2018)
[58]
USARoasted
ground coffee
81
Each age and income
category is represented,
53% female, sample slightly
biased towards higher
education
Organic, fair-trade, Rainforest Alliance, and carbon footprint labelRED, SMI screen-based eye-tracker (120 Hz) [SensoMotoric Instruments, Teltow, Germany], 56 cm computer screen (screen resolution 1680 × 1050 pixel), Experiment Suite 360°, and BeGaze software 3.0Choice
experiment,
eye-tracking
Fixation countConsumers who don’t visually pay attention to sustainability logos are actually ignoring organic labels.
Consumer preference increases when an organic logo is present on coffee packaging.
van Loo, E.J. et al., (2019)
[59]
USACheddar
cheese
103
At least 18 years of age, equal share of female and male, higher share of young and of higher educated participants, compared to general
population, cheese consumer
Country-of-origin, region-of-origin,
hormone-free, and
biodegradable packaging label
Tobii X2-60 (60 Hz) [Tobii AB, Danderyd, Sweden], high-resolution computer screen, and Tobii Studio 2.2 softwareChoice
experiment,
eye-tracking
Visit durationConsumers pay attention to various attributes when selecting food. However, the country-of-origin label is the most attended label when choosing foods.
van Loo, E.J. et al., (2021)
[60]
USAGranola bar115Rainforest Alliance, fair-trade, non-GMO, and not genetically engineered labelTobii X2-60 (60 Hz) [Tobii AB, Danderyd, Sweden], high-resolution computer screen, and Tobii Studio 3.4.5 softwareChoice
experiment,
eye-tracking, questionnaire
Visit durationVisual attention to sustainable claims influences product choice.
Higher visual attention is associated with a higher likelihood of food choice.
The higher the price, the less likely the consumer is to choose the sustainable food.
When consumers focus (fixate) on an attribute for longer, this leads to a higher preference for that attribute.
Zhang, M.J. et al., (2023)
[61]
ChinaRecycled
water
94
43 female and 51 male
Recyclable labelTobii Pro Fusion (250 Hz) [Tobii AB, Danderyd, Sweden]Eye-tracking, questionnaireFixation
duration
The perceived benefit and quality of recycled water has a positive effect on the population’s willingness-to-purchase, while the perceived risk of recycled water influences the willingness-to-purchase negatively.
The higher the visual attention to user comments, the more likely it is to stimulate and promote the public’s perceived usefulness of recycled water.
Table 2. Categories analyzed in the reviewed studies.
Table 2. Categories analyzed in the reviewed studies.
CategoriesFrequencyPercentage (%)
Age ranges
18–30 years37.9
19–48 years37.9
18–59 years37.9
18–65 years1128.9
Not specified1847.3
University students923.7
Gender
Female1.57557.0
Male1.19343.0
Table 3. Sustainability labels examined in the studies using eye-tracking.
Table 3. Sustainability labels examined in the studies using eye-tracking.
Sustainability Labels%Sustainability Labels%
Organic23.5Forest Stewardship Council1.2
Country-of-origin8.2Free-range1.2
Carbon footprint7.1Free-range (accredited)1.2
Fair-trade7.1Friend of the Sea1.2
Non-GMO, GMO-free4.7GGN certified aquaculture1.2
Rainforest Alliance4.7Green products1.2
Region-of-origin3.5Halal1.2
Biodegradable packaging2.4Local1.2
Hormone-free2.4Local farmer1.2
Keyhole2.4Not genetically engineered1.2
Recyclable2.4Nutrient content claim1.2
100% recycled paperboard1.2Pesticide-free1.2
Animal feeding1.2PEFC1.2
Antibiotic-free1.2Protected geographical indication1.2
ASC1.2RSPC approved farming scheme1.2
Bio1.2Sustainable Forestry Initiative1.2
Certified coffee1.2Sustainable Irrigation1.2
Certified Humane1.2Transitional certified by QAI1.2
Dolphin Safe1.2Visually suboptimal food1.2
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Ruppenthal, T. Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review. Sustainability 2023, 15, 16434. https://doi.org/10.3390/su152316434

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Ruppenthal T. Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review. Sustainability. 2023; 15(23):16434. https://doi.org/10.3390/su152316434

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Ruppenthal, Tonia. 2023. "Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review" Sustainability 15, no. 23: 16434. https://doi.org/10.3390/su152316434

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Ruppenthal, T. (2023). Eye-Tracking Studies on Sustainable Food Consumption: A Systematic Literature Review. Sustainability, 15(23), 16434. https://doi.org/10.3390/su152316434

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