Next Article in Journal
In Between Description and Prescription: Analysing Metalanguage in Normative Works on Dutch 1550–1650
Next Article in Special Issue
Affective Distancing Associated with Second Language Use Influences Response to Health Information
Previous Article in Journal
A Quantitative Approach to Microvariation: Negative Marking in Central Romance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Perception of Hidden Confidence in Neutral Expressions: Interactions of Facial Attractiveness, Self-Esteem, and Names to Be Addressed by

1
Department of Psychology and Humanities, College of Sociology, Edogawa University, Chiba 270-0198, Japan
2
Institute of Liberal Arts and Science, Kanazawa University, Ishikawa 920-1192, Japan
3
Department of Social Psychology, Faculty of Sociology, Toyo University, Tokyo 112-8606, Japan
*
Author to whom correspondence should be addressed.
Languages 2022, 7(2), 88; https://doi.org/10.3390/languages7020088
Submission received: 30 October 2021 / Revised: 25 March 2022 / Accepted: 30 March 2022 / Published: 6 April 2022
(This article belongs to the Special Issue Effects of Language and Culture on Emotion Processing)

Abstract

:
Even when a person is portraying a neutral expression, their internal feelings can be reflected subtly on their face, and observers can perceive them. A previous study took facial photographs of female models while wearing attractive and unattractive clothing. Although the models displayed neutral expressions for both cases, their faces while wearing attractive clothing were perceived as more attractive because, it was argued, the attractive clothing raised their confidence, which was observable on the neutral faces. The present study aimed to replicate this. Envisaging being addressed by a specific name (given name, nickname, and formal title) are used to alter the models’ internal states instead of clothing. Twenty-one Japanese models took three photographs of their faces while imagining (1) being addressed by names they like, (2) being addressed by names they dislike, and (3) being addressed by their surnames with titles. A number of Japanese observers viewed three images of the same model at once and ordered them according to their attractiveness (Study 1) and confidence (Study 2). The images in condition (1) were perceived as more attractive/confident than other images. This suggests that being addressed by the name we like can raise our confidence momentarily, and it reflects subtly in neutral expressions.

1. Introduction

Exchanging signals through facial expressions of emotions is a crucial part of human social communications. We read others’ emotions from their facial expressions relatively effortlessly and accurately (Ekman 1984). Most studies on the judgment of facial expressions, however, primarily utilized prototypical, high-intensity expressions (Matsumoto and Hwang 2014), and comparatively little is known about the perception of neutral expressions. A neutral expression can be defined as “absence of emotion” (Sato and Yoshikawa 2010), but simply recognizing an expression as “neutral” appears to be a complex process, and humans are not very good at it.
Lewinski (2015) found that humans are generally reluctant to label any expressions as “neutral” while automated facial coding software has no such reluctance. Thus, humans judge a face as showing neutral expression much less frequently than the software. The reason for this phenomenon is not yet clear, but our firm intention to read others’ emotions likely plays a large part. Contextual information accompanying neutral expressions (e.g., written scenarios or emotion labels) are readily processed and provide meaning to the expression (Carrera-Levillain and Fernandez-Dols 1994; Fernández-Dols et al. 2008). The expressor’s disposition can also be reflected in neutral expressions. For example, the neutral facial expression of individuals with a hostile disposition is perceived as angrier than the similar expression of non-hostile individuals (Malatesta et al. 1987). Brain activation studies back up the notion that we spend a significant amount of cognitive effort to read emotional content from neutral faces in a social context. Although neutral and emotional faces activate some common neural pathways (Haxby et al. 2000), some unique activations for neutral face processing have been found. Those activations are related to integrating signals from multiple sensory modalities (e.g., integrating emotional cues coming from voice and face) and processing ambiguous stimuli (Carvajal et al. 2013).
In regard to displaying neutral expressions, it is questionable whether portraying a truly neutral (absent in emotion) state is possible. Facial expressions can be evoked unconsciously, demonstrated in the unconscious mimicking of a smile (Arias et al. 2018; Dimberg et al. 2000). Thus, our internal state can be easily displayed on our faces even if we intend to show a neutral expression. The present research focuses on such subtle expressions (or altered facial appearance) hidden behind “consciously portrayed” neutral expressions. It is specifically interested in what can elicit such changes and whether they are accurately perceived.
The present study is based on research by Lõhmus et al. (2009). In their study, female models were asked to pose neutral expressions while wearing attractive, unattractive, and comfortable clothes, and their faces (but not clothes) were photographed. Those facial images were then rated for attractiveness by male participants. It was revealed that the neutral expressions portrayed while wearing attractive clothing were perceived as more attractive than those portrayed with unattractive clothing. It is argued that the attractive clothing altered the models’ internal state, most likely by eliciting confidence, and influenced the appearance of their neutral expressions. The male observers then interpreted the change of facial appearance as facial attractiveness. Lõhmus et al. (2009) asked the female models to rate their self-confidence and comfort of being photographed after the pictures were taken. It was found that the perceivers detected the models’ confidence and comfort from the facial expression and rated this as attractiveness. This is taken as evidence that confidence elicited by the attractive clothing altered the models’ facial appearances.
The present research aims to replicate the study by Lõhmus et al. (2009). Instead of using clothes to alter photographic models’ internal state, it used personal names (e.g., given name, nickname, and formal title) others use to address them. Our names are a crucial aspect of our identity (Allport 1937) and self-concept (Bugental and Zelen 1950), and whether or not individuals like their name can affect self-esteem (Gebauer et al. 2008). Names also work as a social label, influencing how others evaluate us (Mehrabian 1997, 2001). People associate names’ meaning, sound, and spelling with the owners’ dispositions. It is reported that a person with an easily pronounceable name is perceived as more likable than a person with a difficult name (Laham et al. 2012). Chinese names written with complex characters tend to be judged as belonging to males, and the bearers of such names are perceived as untrustworthy (Du et al. 2021). The meaning of names can also influence the evaluation of owners’ disposition. People whose names and occupations match (e.g., Mr. Judge being a judge) tend to be evaluated as being more suited for the job than people with unrelated names to their jobs (Guéguen and Pascual 2011). This is a phenomenon commonly called nominative determinism. Therefore, names must be strongly associated with individuals’ self-esteem and confidence and likely to alter facial appearances. There is evidence that names can even permanently change people’s facial structures. Consequently, it is possible to guess strangers’ names from their faces with an above chance level of accuracy (Zwebner et al. 2017). However, the present study focuses on the temporary increase in self-esteem or self-confidence brought by envisaging being addressed by a specific name.
The present research collected images of neutral facial expressions from 21 Japanese models and asked Japanese participants to rate their attractiveness. Each model provided three images taken while envisaging the following situations: being addressed by a name they like (positive condition), being addressed by a name they dislike (negative condition), and being addressed by their actual name with titles (neutral condition). The way people address us can directly affect our life experiences and self-esteem. Gebauer et al. (2008) found that the extent to which individuals like their names strongly correlates with their self-esteem. Therefore, it is hypothesized that the models’ self-esteem in the present study would increase when they are addressed in ways they like, while it will decrease when others use names they dislike. The resulting change of self-esteem is likely to make itself apparent on the blank canvas of the neutral faces, which may translate to different levels of perceived attractiveness. One shortcoming of the study by Lõhmus et al. (2009) is that they did not confirm if the facial images used in the experiment were actually perceived as displaying neutral expressions (unemotional). The present research conducted a test to assure the stimulus quality to address this problem.
The “names” in the present research include all kinds of names: surnames and given names with or without titles, nicknames, or any nouns used in a place name, such as occupational titles and ranks in an organization (e.g., “governor” or “sergeant”). In the present studies a surname with a title was used in the neutral condition which served as a controlled condition; and the names in other conditions could be any of those above. The most common way to address others in public for Japanese is to add the title “san” after the surname. A person called “Hanako Yamada”, therefore, is most commonly addressed as “Yamada san”, which is equivalent to Mr. (Mrs., Miss) Yamada. This “Surname san” format was used for the neutral condition of the current studies.
Regarding nicknames, the most common ones for English names are shortened versions of given names (e.g., Tom for Thomas). Altering the end of the names with y is also common (e.g., Tommy). Japanese often create nicknames by adding a prefix or suffix to the given or family names. Importantly, a Japanese name can be associated with many more varieties of nicknames than an English name. Possible nicknames for the forementioned “Hanako Yamada” would be “Ohana”, “Hana-chan (chan is a suffix indicating small, thus sounds affectionate)”, “Hana-hana”, “Yakkun”, “Yama-chan”, “Yama-gon”, and many others (Kiyomi 2010). Of course, some nicknames are unrelated to real names, for example, those based on the person’s physical appearance. There is no evidence, at least to the authors’ knowledge, showing the association between types of nicknames and their evaluations in Japanese. The same name can be evaluated positively or negatively depending on the person. Therefore, the present study did not control the imagined names for the positive and negative conditions.
The present research findings will provide significant implications for 1) the importance of perceiving hidden confidence in a collectivistic culture such as Japan and 2) how the name-driven confidence expression influences interpersonal relationships. Japan belongs to a collectivistic cultural group, in which interpersonal harmony is prioritized over the autonomy of individuals (Markus and Kitayama 1991). Such a culture requires people to behave humbly to others and encourages them to suppress expressions of true feelings within a social group (Ekman and Friesen 1975; Matsumoto and Ekman 1989). In such a society, the experience of self-confidence tends to be suppressed. Thus, the experimental condition of the current study, confidence being hidden behind the neutral expression, is a very realistic situation for people in a collectivistic culture, and it is meaningful to investigate whether observers can perceive such hidden emotion accurately.
It is also important that the present study examined the emotion triggered by names, as an important aspect of interpersonal interactions. One’s emotional expressions influence not only his/her own cognitive processes but also observers’ information processing and reactional behaviors (Keltner and Haidt 1999). For example, when one shows a happy expression, observers would infer that the communication is going well and decide to stay on course (Van Kleef 2009). The influence of emotional expressions on observers is explained by the Emotion As Social Information (EASI) model. How to address each other in a conversation reflects relational proximity between the communication participants. Addressing someone inappropriately, either too casually or too formally, could disrupt the interpersonal relationship. Therefore, it is highly likely that being called by a specific name triggers an emotional response (which can be subtle), and observers can receive the signal. The results of the present study, therefore, can be regarded as an example of the EASI model in communicating with someone when using specific names.

2. Experiment 1

2.1. Method

2.1.1. Participants

One hundred and fifty-one volunteers (81 men, 65 women, 5 unanswered, mean age = 41.32, SD = 8.88) who were recruited via a crowdsourcing system participated in the study. The study was advertised on the crowdsourcing website as a psychology study asking to evaluate the attractiveness of several facial images. The advert stated that responding to the study would take 10 to 15 min, and those who answered all questions will be rewarded with 50 yen. The data were recorded after the participants fully completed the study.

2.1.2. Materials

Twenty-one volunteer models (9 men, 12 women, mean age = 23.38, SD = 4.25) took their facial images and sent them to the researchers. Some were invited through the authors’ acquaintances, and the rest were recruited using the crowdsourcing system. The facial images were collected remotely using the following process regardless of the recruitment method. All the models received a consent form about providing the images by email. They agreed that the images would be used only for research purposes and may be used in publications by signing the form. They received approximately 1500 Japanese yen (USD 13) for contribution. The consent form email also contained instructions on image photographing. The models were asked to take three images while envisaging the following situations: being addressed by a name they like (positive condition), being addressed by a name they dislike (negative condition), and being addressed by their surnames with titles, “surname san” (neutral condition). No example of names was given to the models. The instruction stated the following five points: (1) the facial expressions should always be neutral, (2) lighting, facial angles, hairstyles, and other variables should be consistent across conditions, (3) the images should be clear and high resolution, (4) not to use any filtering or effects on the images, and (5) not to wear glasses. They were also told the order of the conditions they should take the photos for, which were randomized across models. The models used their own cameras. The images created by all the models were judged as meeting the above criteria. The researchers cropped the received photos to remove unnecessary parts and equalized the size of the faces.
Along with the images, the models provided information about their demography (age and sex), how comfortable they were to take their own facial photos (with a scale of 1. Not at all comfortable–10. Very comfortable), how confident they are about themselves (1. Not confident at all–10. Very confident). Furthermore, four questions were asked about each of the three names they imagined being addressed by. The first question asked how long they have been addressed by the name (choosing one from “early childhood”, “elementary school years” [ages 6 to 12], “junior high school years” [13 to 15], “high school years” [16 to 18], “after high school years”, and “never actually being addressed by it”). The response summary for this question is reported in Table 1. The second question is how much they like the names (1. Do not like it at all–7. Like it very much), and the third one is how often they are called by them (1. Rarely–6. Very often). The final question asked whether they think the names suit them (1. Does not suit me at all–5. Suits me very well).
The answers from the models were analyzed using statistical software, HAD ver.17 (Shimizu 2016). The mean rating for comfort level was 6.10 (SD = 2.34), and the confidence was 5.95 (SD = 1.91). Mean ratings about how much the models liked their positive, neutral, and negative names were as follows: Positive, M = 6.48, SD = 2.34; Neutral, M = 4.24, SD = 1.09; Negative, M = 1.33, SD = 0.58. A one-way analysis of variance (ANOVA) performed on these means revealed that the ratings for the three conditions significantly differed from each other, F (2, 40) = 194.41, p = 0.000. Mean ratings about the frequency of being addressed by those names were, Positive, M = 3.81, SD = 1.57; Neutral, M = 4.43, SD = 1.57; Negative, M = 1.90, SD = 1.30. A similar one-way ANOVA performed on these ratings showed that the opportunities the models are addressed by their negative names were significantly fewer than those for being addressed by their positive and neutral names, F (2, 40) = 17.03, p = 0.000. Finally, the mean ratings about the suitability of the names were, Positive, M = 4.19, SD = 0.93; Neutral, M = 3.71, SD = 0.90; Negative, M = 1.67, SD = 0.80. The same analysis on this dependent variable revealed that the ratings for the positive and neutral names, which did not differ from each other, were higher than the ratings for the negative names.
As in the bottom of Table 1, seven models were never called by the negative names they imagined. They were used in the main studies rather than excluded because it is not a scope of the present study to control whether the imagined contents are associated with real experiences or not. Eliciting emotion among participants by making them imagine situations which they never have experienced is a commonly used method in emotion research. It is also assumed that imagining a situation to be called by specific names is not complicated even if the model did not have an actual experience.
Next, it was tested if each photograph was perceived as displaying a neutral expression. Fifteen test participants, who were not included in the main experiment (6 men, 7 women, 3 unanswered, mean age = 21.07, SD = 0.85) judged whether the total of 63 facial images (21 models × 3 conditions) was displaying emotions or not. As mentioned in the introduction, humans have a strong tendency to avoid labeling any expression as “neutral” (Lewinski 2015), so any test procedure that asks the participants to label the emotion of images can result in stimuli being judged as emotional too often. In order to avoid this problem, another set of 62 photos expressing prototypical emotions (consisting of 3 images of 20 individuals and 2 images of 1 individual) from various face databases were presented alongside the experimental stimuli. Participants were asked to select faces that were clearly showing some emotions. The databases used were ATR (Ogawa et al. 1997), JACFEE (Matsumoto and Ekman 1988), and CAS-PEAL (Gao et al. 2008). Images of 10 female and 11 male models were selected from them. The total of 125 images was divided into 25 trials, so each consisted of 5 images. All trials included two or three experimental stimuli (neutral faces), and the rest showed emotion. The combination of images in each trial was chosen randomly, but images from the same model were never presented in a single trial. The test was programmed as an online survey form using the Qualtrics platform (https://www.qualtrics.com, accessed on 20 August 2021). A horizontal array of 5 facial images was presented in each trial (each image was approximately 180 px width × 250 px height). Each image was numbered, so the participants were asked to select all the numbers corresponding to the faces showing a clear emotion. Two versions of the test differing in the combinations of images in each trial were created, and the participants were randomly allocated to one of the two versions.
For each facial image used in the test, the maximum number of participants who judged it as emotional was 15. For the 63 experimental stimuli, the mean number of participants who chose them as emotional was 0.04, whereas it was 12.48 for the database faces. This result confirms that the experimental stimuli were judged as unemotional.

2.1.3. Procedure

The main study was programmed using Google form, and participants accessed it through a URL link. In the study, three images of the same model were presented simultaneously in each trial. Participants were then asked to order them by attractiveness. The total number of trials was 21. There were six versions of the study that differed in trial order and locations of each photograph in an array. Each participant was randomly allocated to one of the versions. Figure 1 represents the images presented to participants at each trial. Participants were free to use any device (e.g., smartphones, tablets, and PCs) and allowed to time their stimulus viewing and responses freely.

2.1.4. Ethical Considerations

The surveys reported in this article were conducted anonymously, and individuals are not identifiable from the gathered responses. Participants were informed of their anonymity, the study purpose, and the possibility of data publication. They were also told they could terminate the survey anytime, but completing the survey would be regarded as giving full consent. This research was approved by the Ethics Committee of Edogawa University (No. R02-003A).

2.2. Results

No participant appeared to have answered randomly or inappropriately, so the data from all participants were analyzed. Participants gave each image a rank order score of 1, 2, or 3. First, the score was reversed so that the higher score indicates the higher attractiveness. Then, the summed scores given to the images in the positive, negative, and neutral conditions (21 images in each condition) were calculated by participants. Median scores for the three conditions were obtained from the responses from all participants and reported in Figure 2. The rank order for the three conditions was compared using the Friedman test, and the analysis revealed a significant difference across the conditions, χ2 = 101.26, df = 2, p = 0.000. The score for the positive condition was the highest, followed by the neutral, and then by the negative condition. Post hoc tests (Holm’s method) showed that the rank scores for the three conditions significantly differed from each other. Relationships between the participants’ sex and models’ sex (same or different) did not affect the result.
Seven out of 21 models reported that they had never actually been addressed by the names they imagined while taking their photos, which might have influenced their expressions (see Table 1). So, the summed rank scores for the images of these seven models were calculated separately. The Freedman test performed on the scores for images of those models revealed a significant difference across the three naming conditions, χ2 = 6.18, df = 2, p = 0.046. However, post hoc tests failed to find significant differences between any conditions (only a marginally significant difference was found between the neutral and negative conditions, p = 0.069). In contrast, the analysis performed on the scores for the rest of the images showed a strong effect of condition, χ2 = 124.05, df = 2, p = 0.000, and the results of the post hoc tests were identical to those analyses performed for all images.
To investigate a relationship between the models’ general confidence in themselves and the attractiveness of their positive condition images, the confidence score rated by the models and the rank order score for the positive condition images were correlated. No relationship was found between the two variables, r (20) = −0.07, p = 0.754. However, a moderate (but statistically insignificant) association was found between the rank order of the positive images and the models’ comfort level while taking their photographs, r (20) = 0.39, p = 0.079. The correlation between the confidence and attractiveness and between the comfort and attractiveness were both insignificant when the seven models who did not have the experience of being called by negative names were removed from the analyses [confidence, r (14) = −0.15, p = 0.610; comfort, r (14) = 0.36, p = 0.204].

2.3. Discussion

Although the facial images expressed neutral expressions, their perceived attractiveness differed depending on the types of names the models imagined while the photographs were taken. In line with expectations, the images in the positive condition were perceived as the most attractive, followed by the neutral and negative conditions. This replicates the findings of Lõhmus et al. (2009), indicating that positive names can enhance people’s confidence similarly to the attractive clothes in the previous study. Contrasting with Lõhmus et al. (2009), the present study confirmed that the facial images were judged as unemotional, eliminating the possibility that the positive condition images showed easily detectable emotions.
An interesting result was found for images associated with names by which the models had never been addressed. When the imagined names were not associated with actual experiences, their impact on facial appearance was significantly weakened. This suggests that the effect of names is related to actual events or episodes that individuals have experienced. It is likely that the models had to access their relevant episodic memory to enable the imagined names to alter their facial appearances. Since names are social labels, those episodic memories are most likely to involve interpersonal communications.
The present results showed no significant relationship between the models’ general self-confidence and the attractiveness of their positive condition images. Lõhmus et al. (2009) found a positive correlation between the models’ self-confidence/comfort of being photographed and the attractiveness of their images with nice clothing. The discrepancy between the present results and those by Lõhmus et al. (2009) may be due to the types of self-confidence: general confidence or confidence about being photographed. Nevertheless, the lack of correlation between the models’ confidence and attractiveness of the images in Study 1 requires further examination on whether the observed change in facial appearance is related to confidence, which was investigated in Study 2.

3. Experiment 2

3.1. Method

3.1.1. Participants

One hundred and fifty-three volunteers (86 males, 66 females, 1 unknown, mean age = 42.39, SD = 9.46) were recruited using a crowdsourcing system. The recruitment method was identical to Study 1.

3.1.2. Materials and Procedure

The facial images in Study 1 were used. The procedure of this study was similar to Study 1. This time, participants were asked to order the images by how confident they looked rather than how attractive they were.

3.2. Results

The data from all participants were analyzed. The rank order scores for confidence were treated identically to the scores in Study 1. The Friedman test on the dependent variable showed a significant difference across the three name conditions, χ2 = 98.97, df = 2, p = 0.000. Post hoc tests revealed that the scores for the three conditions significantly differed. The rank for the positive condition was the highest, followed by the neutral and then by the negative condition. The summary is reported in Figure 3.
A separate Friedman test was conducted for the data, which only included photographs of the models who imagined names by which they had never been addressed. It revealed only a marginally significant effect of name conditions, χ2 = 5.66, df = 2, p = 0.059. An identical analysis performed on the images of the rest of the models showed a strong effect of name conditions, χ2 = 132.69, df = 2, p = 0.000.
The correlational relationship between the models’ self-confidence and perceived confidence of their positive condition images was absent again in this study, r (20) = −0.08, p = 0.717. Similar to Study 1, however, a moderate (but statistically insignificant) association was found between the rank order of the positive images and the models’ comfort level while taking their photographs, r (20) = 32, p = 0.157. An identical pattern was found when the seven models who had never been called by the imagined negative names were removed from the analyses [confidence, r (14) = −0.19, p = 0.515; comfort, r (14) = 0.30, p = 0.299]. Thus, removing those seven images did not alter the findings.
The correlation coefficients between the attractiveness rank in Study 1 and the confidence rank in Study 2 were calculated for each image (all images were used). They were 0.93 for the positive condition, 0.79 for the negative condition, and 0.87 for the neutral condition. They indicate that the confidence in the face translated to attractiveness.

3.3. Discussion

In this study, participants ranked the images based on how confident they looked instead of their attractiveness. The results were almost identical to Study 1, confirming that being addressed by preferred names enhances confidence. The rank order for the attractiveness and confidence were highly correlated; therefore, the images judged as attractive in Study 1 were likely to be seen as confident in Study 2. Additionally, Study 2 replicated Study 1 in that the impacts of names were weakened for images without associations with actual events. Although the results clearly show that the imagined names altered the models’ confidence, no correlation was found between the rank order of the positive images and the models’ general level of confidence.

4. General Discussion

The present research investigated if individuals’ internal state can alter the appearance of neutral expression and whether or not observers can perceive the subtle appearance change. Envisaging of being addressed by particular names was used to alter individuals’ internal states, especially the levels of self-esteem and confidence. Numerous studies have reported that humans tend not to perceive neutral expressions as simply an absence of emotion. They are keen to read some emotional components from them, often referring to contextual information (Carrera-Levillain and Fernandez-Dols 1994; Fernández-Dols et al. 2008; Lewinski 2015; Malatesta et al. 1987). This tendency goes hand in hand with our sensitivity to subtle emotional cues (Matsumoto and Hwang 2014), resulting in varied interpretations of neutral expressions. The expressions used in the present study were perceived as neutral at the quality test. However, the participants readily processed slight differences across three images of the same model, replicating the study by Lõhmus et al. (2009).
The present study results demonstrated that the imagination of being addressed by specific names could alter our internal states. The attractiveness/confidence rank order was higher for the images associated with preferred names than with titled surnames. The lowest rank order was given to images associated with disliked names. This pattern indicates that the models’ confidence increased when imagining being addressed by names they like compared to being addressed by titled surnames. On the contrary, the confidence level decreased from the neutral condition when they imagined being addressed by disliked names. There was a very high correlation between the attractiveness rank in Study 1 and the confidence rank in Study 2. It shows that facial changes brought by the models’ raised confidence translated to increased attractiveness, and the observers readily perceived it. Lõhmus et al. (2009) only used female faces, and their observers were all males, and therefore the concept of attractiveness in their study was associated with mate selection. Indeed, in the context of mate selection, it is reported that individuals’ level of confidence and their perceived physical attractiveness by another sex are strongly connected (Brand et al. 2012; Roberts et al. 2009). In the present study, however, the positive condition images were perceived as more attractive than other images regardless of the sex of the observers and models. It suggests that confidence-related attractiveness is not limited to sexual context, and instead, it is perceived as a generally positive facial quality.
While Lõhmus et al. (2009) found a correlation between the models’ self-confidence and perceived attractiveness for the images with attractive clothing, this trend was absent in the present study. This discrepancy is most likely due to the types of self-confidence being measured. The present research measured the models’ general confidence level while Lõhmus et al. (2009) asked their models to report confidence about being photographed. People’s consistent disposition, such as a general confidence level, may influence their facial structure, as Malatesta et al. (1987) report that neutral expressions of hostile people look rather angry. Therefore, the general confidence level may create a difference in perceived attractiveness across models but may not greatly influence the within-individual change in appearance. The changes within individuals may be more strongly associated with temporarily altered internal states. As evidence, the present study found moderate (albeit statistically insignificant) relationships between the rank order of the positive images and the models’ comfort level while taking their photographs.
The present research demonstrated that being addressed by the preferred names is associated with positive self-esteem. Being accepted by others is a significant factor in raising self-esteem (Leary et al. 1995). When others call us by the name we like, we experience a sense of acceptance and friendliness towards others. Such experience would raise our self-esteem and self-evaluation (Gebauer et al. 2008). In the present data, the models’ level of confidence in themselves and the extent to which they like their names in the positive condition were correlated, r (20) = 56, p = 0.009, showing that the models with higher self-esteem liked their positive names (or the self which is addressed by those names) more.
In contrast, negative psychological effects are brought by disliked names. Interpersonal communications involving negative name calling elicit a sense of rejection and alienation to the person concerned, reducing his/her self-esteem (Leary et al. 1995). An everyday example of such negative interpersonal communication is bullying. Bullied individuals often suffer from low self-esteem (Hawker and Boulton 2000), and calling the victims using non-preferred nicknames is an extremely common bullying strategy among children (Crozier and Dimmock 1999). Names are a crucial part of self-concept (Bugental and Zelen 1950); thus, the experience of being called by disliked names cultivates negative self-concepts. Bullying victims often ignore the callers who use nasty names to eliminate such a negative self-concept (Crozier and Skliopidou 2002). The present research showed that simply imagining being called by negative names affects people’s internal state so strongly that it alters the facial appearances of consciously portrayed neutral expressions. This demonstrates the significance of names in our self-concept and self-esteem.
Importantly, the impact of the names on our feelings manifests only when the names are associated with actual experiences. In the present studies, the effect of name conditions significantly diminished for images unrelated to the models’ actual experiences. This confirms that the impact of names is associated with the memory of situations involving them, rather than simply caused by the characteristics (e.g., acoustic/visual characteristics or literal meaning) of the names themselves. It also supports the argument that the change in facial appearance is related to self-esteem or confidence because real experience is essential to influence those psychological elements.
The name-driven facial changes demonstrated in the present study are, in real-life communication, signals indicating whether the relational distance between the communicators is appropriate. According to the EASI model, the observers of emotional expressions infer the expressor’s intention and decide their next move (Van Kleef 2009). Detecting expression changes triggered by names would help the observers steer the communication in a better direction. Addressing someone in a socially appropriate way, for example, addressing someone older in an honorific manner, does not necessarily result in desirable communications (e.g., when the person being addressed wants more friendly communication). The ability to detect the subtle expressions demonstrated in the present study is, therefore, crucial to achieve effective communication. As mentioned in the introduction, Japanese culture is collectivistic and people tend to hide their true feelings in public (Ekman and Friesen 1975). This means that negative feelings associated with being addressed by unpreferable names are likely to be shown subtly, as in the stimuli of the present study, and Japanese people might be getting used to reading such subtle expressions. Although a similar finding is reported by Lõhmus et al. (2009) with Western participants, the ability to read subtle expressions may differ depending on the culture. Thus, cross-cultural comparison of the ability is necessary to determine, for example, whether it is culturally variant or more innately constrained.
The observers’ information processing described in the EASI model is synonymous with social cognition, often defined as information processing regarding other individuals’ dispositions and intentions (Brothers 1990). Accurate readings of others’ facial expressions lead to a better understanding of their dispositions and intentions, hence, a higher social cognition ability. For example, facial expression recognition ability and the extent of Theory of Mind are likely to be correlated (Bora et al. 2005; Brüne 2005). The stimuli with subtle expressions would enable very sensitive assessments of emotion recognition ability. Therefore, a similar study to the current research can be conducted in the context of social cognition measurement.
Regarding subtle emotional expressions, focusing on the expressors might also be valuable. Although the observers of the present study readily perceived the subtle expressions, the level of emotion concealment must have varied across models. It would be interesting to investigate individual characteristics related to the ability to conceal emotion. Personality traits such as extroversion are strong candidates to influence such ability. In addition, individuals’ level of obedience to the cultural norm, whether to express or hide particular emotions in a culturally appropriate manner (Matsumoto and Ekman 1989), may play a significant part. This line of research will help further reveal the mechanism of human motivation for emotional expressions.
Finally, we discuss the limitations and cultural implications of the present research. The stimuli in the research were gathered online; thus, the photographic environment and quality were not strictly controlled. Contents of the imagined situations were not clear either. Although the results imply that the models’ imagination involved their episodic memories, this cannot be concluded with certainty unless the imagined contents for all conditions are recorded.
Similarly, experimental control might have been insufficient since the current studies were conducted online. The devices used to view the faces and the stimulus viewing time must have varied across participants. Fortunately, the current studies managed to secure relatively large samples, and there is no clear indication that insufficient control affected the results. No participant answered randomly or inappropriately, so it is reasonable to assume that all participants viewed the images carefully. On the variation in viewing time, the past research reports that attractiveness assessment is not significantly influenced by the face-viewing time once the duration reaches over 500 ms (Saegusa and Watanabe 2016; Willis and Todorov 2006). A time of 500 ms should not have been enough to complete the present task (ordering three images according to attractiveness/confidence), so most participants must have taken longer than that on each trial. Thus, the variation in viewing time is less likely to have affected the results. Nevertheless, it is preferable to repeat the studies in more controlled environments. Additionally, the rank order task can be replaced with an attractive/confidence rating task. The current study used the rank order to match the procedure used by Lõhmus et al. (2009) but using an interval scale to measure attractiveness/confidence level would be more precise, and this should be considered for a future study.
How people address each other is strongly influenced by culture and language. In East Asia, for example, people commonly address others using words describing relationships or roles rather than using actual names. In addition, the use of given names, which is common in most relationships in Western countries, is limited to very close relationships in East Asia (Mogi 2002). Culture and language determine the appropriate ways to address people in particular situations. How nicknames are created may also vary across cultures. Some cultures may create nicknames based on the sound of real names, while other cultures may do so based on people’s disposition or physical characteristics. These cultural variations are likely to be reflected in the extent to which names influence our internal states.
The influence of culture is also strongly evident for perception and display styles of facial expressions. Although expression styles across cultures share huge similarities, especially for basic emotions (Ekman 1984), cultural variations are often reported (see Cordaro et al. 2018). Elfenbein and Ambady (2002) argue that culturally specific display styles can be very subtle but accurately perceived by people of the same cultural group. Therefore, the attractiveness or confidence of the current stimuli (Japanese faces) may be judged differently by non-Japanese observers. Cross-cultural studies investigating neutral face perception are still rare; therefore, it will be meaningful to examine the interaction among names, self-esteem, and neutral expression across different cultures in the future.

Author Contributions

Conceptualization, R.A. and H.K.; methodology, R.A., M.K., and H.K.; software, R.A.; validation, R.A., M.K., and H.K.; formal analysis, R.A.; investigation, R.A. and H.K.; resources, R.A.; data curation, R.A., M.K., and H.K.; writing—original draft preparation, R.A., H.K., and M.K; writing—review and editing, R.A., H.K., and M.K.; visualization, R.A.; supervision, R.A. and H.K.; project administration, R.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was approved by the Ethics Committee of Edogawa University (No. R02-003A, 20 April 2021).

Informed Consent Statement

Written informed consent for publication was obtained from the participant provided photographs for Figure 1. All the other participants in the present research are not identifiable from the published data, but the photograph models gave written informed consent. The survey participants were told that they were regarded to have given their consent to the study upon completion of the survey, and this article only report responses of fully completed surveys.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors greatly appreciate the assistance provided by Yuki Enomoto for material creation and data collection for this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Allport, Gordon Willard. 1937. Personality: A Psychological Interpretation. New York: Holt. [Google Scholar]
  2. Arias, Pablo, Pascal Belin, and Jean-Julien Aucouturier. 2018. Auditory smiles trigger unconscious facial imitation. Current Biology 28: R782–R783. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Bora, Emre, Simavi Vahip, Ali Saffet Gonul, Fisun Akdeniz, Müge Alkan, Melise Ogut, and Ayse Eryavuz. 2005. Evidence for theory of mind deficits in euthymic patients with bipolar disorder. Acta Psychiatrica Scandinavica 112: 110–16. [Google Scholar] [CrossRef] [PubMed]
  4. Brand, Rebecca J., Abigail Bonatsos, Rebecca DOrazio ’, and Hilary DeShong. 2012. What is beautiful is good, even online: Correlations between photo attractiveness and text attractiveness in men’s online dating profiles. Computers in Human Behavior 28: 166–70. [Google Scholar] [CrossRef]
  5. Brothers, Leslie. 1990. The social brain: A project for integrating primate behavior and neurophysiology in a new domain. Concepts in Neuroscience 1: 27–51. [Google Scholar]
  6. Brüne, Martin. 2005. Emotion recognition,‘theory of mind,’and social behavior in schizophrenia. Psychiatry Research 133: 135–47. [Google Scholar] [CrossRef] [PubMed]
  7. Bugental, James F. T., and Seymour L. Zelen. 1950. Investigations into the’self-concept’. I. The WAY technique. Journal of Personality 18: 483–98. [Google Scholar] [CrossRef]
  8. Carrera-Levillain, Pilar, and Jose-Miguel Fernandez-Dols. 1994. Neutral faces in context: Their emotional meaning and their function. Journal of Nonverbal Behavior 18: 281–99. [Google Scholar] [CrossRef]
  9. Carvajal, Fernando, Sandra Rubio, Juan M. Serrano, Marcos Ríos-Lago, Juan Alvarez-Linera, Lara Pacheco, and Pilar Martín. 2013. Is a neutral expression also a neutral stimulus? A study with functional magnetic resonance. Experimental Brain Research 228: 467–79. [Google Scholar] [CrossRef] [Green Version]
  10. Cordaro, Daniel T., Rui Sun, Dacher Keltner, Shanmukh Kamble, Niranjan Huddar, and Galen McNeil. 2018. Universals and cultural variations in 22 emotional expressions across five cultures. Emotion 18: 75. [Google Scholar] [CrossRef]
  11. Crozier, W. Ray, and Patricia S. Dimmock. 1999. Name-calling and nicknames in a sample of primary school children. British Journal of Educational Psychology 69: 505–16. [Google Scholar] [CrossRef]
  12. Crozier, W. Ray, and Evanthia Skliopidou. 2002. Adult recollections of name-calling at school. Educational Psychology 22: 113–24. [Google Scholar] [CrossRef]
  13. Dimberg, Ulf, Monika Thunberg, and Kurt Elmehed. 2000. Unconscious facial reactions to emotional facial expressions. Psychological Science 11: 86–89. [Google Scholar] [CrossRef] [PubMed]
  14. Du, Xiaopeng, Mengchen Dong, Dian Gu, Zhiyong Xin, Jiang Jiang, and Yan Sun. 2021. Difficult name, cold man: Chinese names, gender stereotypicality and trustworthiness. International Journal of Psychology 56: 349–60. [Google Scholar] [CrossRef] [PubMed]
  15. Ekman, Paul. 1984. Expression and the nature of emotion. In Approaches to Emotion. Edited by Paul Ekman and Klaus R. Sherer. Hillsdale: Lawrence Erlbaum Association, Inc, pp. 319–44. [Google Scholar]
  16. Ekman, Paul, and Wallace V. Friesen. 1975. Unmasking the Face: A Guide to Recognizing Emotions from Facial Clues. Hoboken: Prentice-Hall. [Google Scholar]
  17. Elfenbein, Hillary Anger, and Nalini Ambady. 2002. On the universality and cultural specificity of emotion recognition: A meta-analysis. Psychological Bulletin 128: 203–35. [Google Scholar] [CrossRef] [Green Version]
  18. Fernández-Dols, José-Miguel, Pilar Carrera, Kimberly A. Barchard, and Marta Gacitua. 2008. False recognition of facial expressions of emotion: Causes and implications. Emotion 8: 530. [Google Scholar] [CrossRef]
  19. Gao, Wen, Bo Cao, Shiguang Shan, Xilin Chen, Delong Zhou, Xiaohua Zhang, and Debin Zhao. 2008. The CAS-PEAL large-scale Chinese face database and baseline evaluations. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 38: 149–61. [Google Scholar] [CrossRef] [Green Version]
  20. Gebauer, Jochen E., Michael Riketta, Philip Broemer, and Gregory R Maio. 2008. “How much do you like your name?” An implicit measure of global self-esteem. Journal of Experimental Social Psychology 44: 1346–54. [Google Scholar] [CrossRef] [Green Version]
  21. Guéguen, Nicolas, and Alexandre Pascual. 2011. Mr “Py” is Probably a Good Mathematician: An Experimental Study of the Subjective Attractiveness of Family Names. Names 59: 52–56. [Google Scholar] [CrossRef]
  22. Hawker, David S. J., and Michael J. Boulton. 2000. Twenty years’ research on peer victimization and psychosocial maladjustment: A meta-analytic review of cross-sectional studies. The Journal of Child Psychology and Psychiatry and Allied Disciplines 41: 441–55. [Google Scholar] [CrossRef]
  23. Haxby, James V., Elizabeth A. Hoffman, and M Ida Gobbini. 2000. The distributed human neural system for face perception. Trends in Cognitive Sciences 4: 223–33. [Google Scholar] [CrossRef]
  24. Keltner, Dacher, and Jonathan Haidt. 1999. Social functions of emotions at four levels of analysis. Cognition and Emotion 13: 505–21. [Google Scholar] [CrossRef]
  25. Kiyomi, Setsuko. 2010. A study on names and naming: Nicknames, company names and pet names. Surugadai University Studies 41: 81–103. (In Japanese). [Google Scholar]
  26. Laham, Simon M., Peter Koval, and Adam L. Alter. 2012. The name-pronunciation effect: Why people like Mr. Smith more than Mr. Colquhoun. Journal of Experimental Social Psychology 48: 752–56. [Google Scholar] [CrossRef]
  27. Leary, Mark R., Ellen S. Tambor, Sonja K. Terdal, and Deborah L. Downs. 1995. Self-esteem as an interpersonal monitor: The sociometer hypothesis. Journal of Personality and Social Psychology 68: 518. [Google Scholar] [CrossRef]
  28. Lewinski, Peter. 2015. Automated facial coding software outperforms people in recognizing neutral faces as neutral from standardized datasets. Frontiers in Psychology 6: 1386. [Google Scholar] [CrossRef] [Green Version]
  29. Lõhmus, Mare, L. Fredrik Sundström, and Mats Björklund. 2009. Dress for success: Human facial expressions are important signals of emotions. Annales Zoologici Fennici 46: 75–80. [Google Scholar] [CrossRef]
  30. Malatesta, Carol Z., Michael J. Fiore, and James J. Messina. 1987. Affect, personality, and facial expressive characteristics of older people. Psychology and Aging 2: 64. [Google Scholar] [CrossRef]
  31. Markus, Hazel Rose, and Shinobu Kitayama. 1991. Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review 98: 224–53. [Google Scholar] [CrossRef]
  32. Matsumoto, David, and Paul Ekman. 1988. Japanese and Caucasian Facial Expressions of Emotion (JACFEE) and Neutral Faces (JACNeuF). San Francisco: University of California. [Google Scholar]
  33. Matsumoto, David, and Paul Ekman. 1989. American-Japanese cultural differences in intensity ratings of facial expressions of emotion. Motivation and Emotion 13: 143–57. [Google Scholar] [CrossRef]
  34. Matsumoto, David, and Hyisung C. Hwang. 2014. Judgments of subtle facial expressions of emotion. Emotion 14: 349. [Google Scholar] [CrossRef] [Green Version]
  35. Mehrabian, Albert. 1997. Impressions created by given names. Names 45: 19–33. [Google Scholar] [CrossRef]
  36. Mehrabian, Albert. 2001. Characteristics attributed to individuals on the basis of their first names. Genetic, Social, and General Psychology Monographs 127: 59. [Google Scholar]
  37. Mogi, Norie. 2002. Japanese ways of addressing people. Investigationes Linguisticae 8: 14–22. [Google Scholar] [CrossRef] [Green Version]
  38. Ogawa, Tokuko, Masaomi Oda, Sakiko Yoshikawa, and Shigeru Akamatsu. 1997. Evaluation of facial expressions differing in face angles—Constructing a database of facial expressions. Technical Report of Institute of Electronics, Information and Communication Engineers (IEICE), HIP 97: 47–52. [Google Scholar]
  39. Roberts, S. Craig, Anthony C. Little, Anna Lyndon, J. Roberts, Jan Havlicek, and Robert L. Wright. 2009. Manipulation of body odour alters men’s self-confidence and judgements of their visual attractiveness by women. International Journal of Cosmetic Science 31: 47–54. [Google Scholar] [CrossRef] [PubMed]
  40. Saegusa, Chihiro, and Katsumi Watanabe. 2016. Judgments of facial attractiveness as a combination of facial parts information over time: Social and aesthetic factors. Journal of Experimental Psychology: Human Perception and Performance 42: 173–79. [Google Scholar] [CrossRef] [PubMed]
  41. Sato, Wataru, and Sakiko Yoshikawa. 2010. Detection of emotional facial expressions and anti-expressions. Visual Cognition 18: 369–88. [Google Scholar] [CrossRef]
  42. Shimizu, Hiroshi. 2016. An introduction to the statistical free software HAD: Suggestions to improve teaching, learning and practice data analysis. Journal of Media, Information and Communication 1: 59–73. [Google Scholar]
  43. Van Kleef, Gerben A. 2009. How emotions regulate social life: The emotions as social information (EASI) model. Current Directions in Psychological Science 18: 184–88. [Google Scholar] [CrossRef]
  44. Willis, Janine, and Alexander Todorov. 2006. First impressions: Making up your mind after a 100-ms exposure to a face. Psychological Science 17: 592–98. [Google Scholar] [CrossRef]
  45. Zwebner, Yonat, Anne-Laure Sellier, Nir Rosenfeld, Jacob Goldenberg, and Ruth Mayo. 2017. We look like our names: The manifestation of name stereotypes in facial appearance. Journal of Personality and Social Psychology 112: 527. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Example images used in Study 1. They are positive (A), negative (B), and natural (C) conditions in this case.
Figure 1. Example images used in Study 1. They are positive (A), negative (B), and natural (C) conditions in this case.
Languages 07 00088 g001
Figure 2. Medians (the centerline of each square), 75 percentiles (the top line), and 25 percentiles (the bottom line) of the summed rank scores in the three name conditions in Study 1. The error bars indicate the minimum and maximum scores.
Figure 2. Medians (the centerline of each square), 75 percentiles (the top line), and 25 percentiles (the bottom line) of the summed rank scores in the three name conditions in Study 1. The error bars indicate the minimum and maximum scores.
Languages 07 00088 g002
Figure 3. Medians (the centerline of each square), 75 percentiles (the top line), and 25 percentiles (the bottom line) of the summed rank scores in the three name conditions in Study 2. The error bars indicate the minimum and maximum scores.
Figure 3. Medians (the centerline of each square), 75 percentiles (the top line), and 25 percentiles (the bottom line) of the summed rank scores in the three name conditions in Study 2. The error bars indicate the minimum and maximum scores.
Languages 07 00088 g003
Table 1. The response summary for the question asking since when the models have been called by the names.
Table 1. The response summary for the question asking since when the models have been called by the names.
Positive NamesNegative NamesNeutral Names
TimeN%N%N%
Early childhood942.8629.5214.76
Elementary school years14.7614.76419.05
Junior high school years314.29419.05419.05
High school years14.7614.76314.29
After high school years733.33628.57838.10
Never been called 00.00733.3314.76
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Azami, R.; Kikutani, M.; Kitamura, H. Perception of Hidden Confidence in Neutral Expressions: Interactions of Facial Attractiveness, Self-Esteem, and Names to Be Addressed by. Languages 2022, 7, 88. https://doi.org/10.3390/languages7020088

AMA Style

Azami R, Kikutani M, Kitamura H. Perception of Hidden Confidence in Neutral Expressions: Interactions of Facial Attractiveness, Self-Esteem, and Names to Be Addressed by. Languages. 2022; 7(2):88. https://doi.org/10.3390/languages7020088

Chicago/Turabian Style

Azami, Ritsuko, Mariko Kikutani, and Hideya Kitamura. 2022. "Perception of Hidden Confidence in Neutral Expressions: Interactions of Facial Attractiveness, Self-Esteem, and Names to Be Addressed by" Languages 7, no. 2: 88. https://doi.org/10.3390/languages7020088

Article Metrics

Back to TopTop