Advanced Technologies for User-Centered Design and User Experience

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 5875

Special Issue Editors

Division of Future Convergence (HCI Science Major), Dongduk Women's University, Seoul 02748, Republic of Korea
Interests: HCI (human-computer interaction); UX (user experience); UCD (user-centered design); ergonomic design
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Guest Editor
Department of Industrial Engineering, Seoul National University, Seoul 08826, Republic of Korea
Interests: ergonomics; human factors; user-centered design; human interface design; affective engineering; Kansei Engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With recent technological advances, high-tech-based products that work with users through various methods such as tactile interfaces, gesture recognition, voice command and motion detection are increasing. It includes innovative technologies ranging from smart devices to AI speakers, virtual reality systems, and augmented reality devices, but the increase of these products has raised concerns about user inconvenience due to lack of consideration of user needs and behavior for design.

This journal covers all topics studied from the user experience (UX) and user-centric design (UCD) perspective, in the context of new high-tech products, devices and services and interactions between users. This Special Issue welcomes original, unpublished research contributions including but not limited to methodological studies, quantitative, qualitative or mixed-methods studies focusing on issues around consumer interaction with new technologies or methodologies.

In detail, this Special Issue includes the following research topics:

  • New user-centered design methodologies;
  • Design and evaluation of high-tech based products or smart products;
  • New methodologies for gathering user experience data;
  • New methodologies for evaluating user experience;
  • User experience design for high-tech based products or smart products;
  • Review articles related to UCD/UX methodologies, challenges.

Dr. Ilsun Rhiu
Prof. Dr. Myung Hwan Yun
Guest Editors

Manuscript Submission Information

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Keywords

  • user-centered design
  • user experience
  • usability
  • human–computer interaction
  • smart products/applications

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Published Papers (6 papers)

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Research

19 pages, 2418 KiB  
Article
A Method for Evaluating User Interface Satisfaction Using Facial Recognition Technology and a PSO-BP Neural Network
by Qingchen Li, Bingzhu Zheng, Tianyu Wu, Yajun Li and Pingting Hao
Appl. Sci. 2024, 14(13), 5649; https://doi.org/10.3390/app14135649 - 28 Jun 2024
Viewed by 401
Abstract
User satisfaction serves as a crucial reference for iteratively optimizing software interface designs. This paper introduces a comprehensive measurement model of user satisfaction, employing Notability and Goodnotes for case studies. The proposed model incorporates facial recognition technology to gauge the intensity of users’ [...] Read more.
User satisfaction serves as a crucial reference for iteratively optimizing software interface designs. This paper introduces a comprehensive measurement model of user satisfaction, employing Notability and Goodnotes for case studies. The proposed model incorporates facial recognition technology to gauge the intensity of users’ facial expressions while interacting with various functions of the target interface. Additionally, an experimental observation method is employed to gather objective data, including task completion time, task success rates, and operational procedures, alongside users’ subjective evaluations. Leveraging objective data as input and subjective ratings as output, a user satisfaction prediction model based on a PSO-BP neural network has been devised. The results demonstrate an impressive accuracy rate of 86.26%, indicating a high accuracy in subjective perception prediction. This model has proven to be effective for measuring user satisfaction and evaluating software interface usability. Moreover, this research contributes to expanding the repertoire of user interface satisfaction evaluation methods, enhancing the objectivity of measurements and surpassing the efficiency of conventional experimental evaluation techniques. The proposed model holds practical significance for software interface usability assessment and optimization design. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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36 pages, 8737 KiB  
Article
Applying Design Thinking to Develop AI-Based Multi-Actor Decision-Support Systems: A Case Study on Human Capital Investments
by Silvia Marocco, Alessandra Talamo and Francesca Quintiliani
Appl. Sci. 2024, 14(13), 5613; https://doi.org/10.3390/app14135613 - 27 Jun 2024
Viewed by 452
Abstract
Artificial intelligence, particularly machine learning, has revolutionized organizational decision-making processes by assuming many decision responsibilities traditionally allocated to humans. In this scenario, decision-support systems based on AI have gained considerable relevance, although the attitudes of managers toward intelligent agents are still unbalanced towards [...] Read more.
Artificial intelligence, particularly machine learning, has revolutionized organizational decision-making processes by assuming many decision responsibilities traditionally allocated to humans. In this scenario, decision-support systems based on AI have gained considerable relevance, although the attitudes of managers toward intelligent agents are still unbalanced towards human intervention in decision-making. An additional level of complexity arises when the development of these systems occurs within the context of investments in human capital, such as startup funding or organizational development. In this field, decision-making becomes even more critical, since it implies the will, goals, and motivations of every human actor involved: the investors and those seeking investments. termed multi-actor decision-making, this process involves multiple individuals or groups of individuals who, starting from non-coincident objectives, must reach a mutual agreement and converge toward a common goal for the success of the investment. Considering these challenges, this study aims to apply the design thinking technique as a human-centered methodology to support the design of an AI-based multi-actor decision-support system, conceived by Mylia (The Adecco Group), in the field of organizational development. Additionally, the integration of strategic organizational counseling will be introduced to facilitate the modeling of internal DM processes within the provider organization, enabling the seamless flow of internal behaviors from the decision-support system’s conceptualization to its integration in the external market. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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27 pages, 3046 KiB  
Article
Importance Ranking of Usability Indicators for Second-Hand Trading Applications Based on Exploratory Factor Analysis—Analytic Hierarchy Process toward Sustainable Development
by Xiaoxue Liu, Boyoung Lee and Kyungjin Park
Appl. Sci. 2024, 14(12), 5164; https://doi.org/10.3390/app14125164 - 13 Jun 2024
Viewed by 550
Abstract
In contemporary society, excessive energy consumption and rapid product development cycles are seen as significant barriers to sustainable development. Second-hand trading apps have emerged as a solution to this issue that allow the extension of the lifecycle of products to reduce resource consumption [...] Read more.
In contemporary society, excessive energy consumption and rapid product development cycles are seen as significant barriers to sustainable development. Second-hand trading apps have emerged as a solution to this issue that allow the extension of the lifecycle of products to reduce resource consumption and waste generation. This study aims to support the design and development of second-hand trading apps by establishing and prioritizing usability indicators. To this end, we assembled a team of 20 experts and initially identified usability indicators using the Delphi method. Then, data from surveys of 412 users were analyzed using Exploratory Factor Analysis (EFA) to reduce dimensions, and the Analytic Hierarchy Process (AHP) was used to finally rank the relative importance and priority of these indicators. The results show that of the Level 1 indicators, safety and privacy, learning and operation, and information architecture are relatively highly prioritized. For the Level 2 indicators, property protection, page information architecture, privacy protection, ease of use, and efficiency ranked highly in terms of composite weight priority. The findings of this study will aid in the usability evaluation and enhancement of future second-hand trading apps. By optimizing app usability, increasing user engagement, and thereby boosting the rate of second-hand product purchases, this research contributes positively to the sustainable development of the environment by reducing waste generation. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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20 pages, 1392 KiB  
Article
Enhancing Spatial Cognition in Online Virtual Museum Environments: Integrating Game-Based Navigation Strategies for Improved User Experience
by Yuxin Zhang, Boning Zhang, Wansok Jang and Younghwan Pan
Appl. Sci. 2024, 14(10), 4163; https://doi.org/10.3390/app14104163 - 14 May 2024
Viewed by 1141
Abstract
Online Virtual Museums (OVM) serve as vital conduits for the global propagation of cultural heritage but grapple with the challenge of user disorientation due to the absence of physical references. Leveraging the successful paradigm of game-based virtual navigation, this study investigates the potential [...] Read more.
Online Virtual Museums (OVM) serve as vital conduits for the global propagation of cultural heritage but grapple with the challenge of user disorientation due to the absence of physical references. Leveraging the successful paradigm of game-based virtual navigation, this study investigates the potential integration of game mini-map navigation design elements into OVM to enhance spatial cognition. Through empirical investigation, a conceptual model was developed to probe the role of core mini-map design elements (interactivity, visual guidance, and information content) in augmenting spatial cognition. Results indicate that optimizing these elements significantly enhances user immersion and presence, thereby improving spatial cognition. Specifically, information content and visual guidance exerted stronger effects on immersion and presence, respectively. This research contributes a novel perspective on incorporating game design strategies into non-game virtual experiences, offering practical guidance for enhancing navigation in OVM and similar virtual environments. This bridges the gap between virtual museum navigation and game design, propelling the evolution of more dynamic, interactive, and user-centric virtual environments, thus fostering the preservation and dissemination of digital cultural heritage. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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15 pages, 2066 KiB  
Article
A Study on the Preference of Electric Vehicle Front Design Elements
by Zhiyou Sun and Kyungjin Park
Appl. Sci. 2024, 14(8), 3262; https://doi.org/10.3390/app14083262 - 12 Apr 2024
Viewed by 891
Abstract
In order to invigorate Korea’s pure electric vehicle market, innovative changes are imperative in both technological advancements and exterior design aesthetics. The front fascia, being the nucleus of car design, profoundly influences not only brand perception but also consumer preferences and purchasing decisions. [...] Read more.
In order to invigorate Korea’s pure electric vehicle market, innovative changes are imperative in both technological advancements and exterior design aesthetics. The front fascia, being the nucleus of car design, profoundly influences not only brand perception but also consumer preferences and purchasing decisions. Hence, the significance of front-end design in pure electric vehicle engineering is becoming increasingly evident. This study aims to assess the front-end design of electric vehicles and delineate the design aesthetics favored by consumers. Focusing on the exterior design aspects of electric vehicles, the study participants were limited to adults aged 20 or above. Utilizing Maximum Difference Scaling, a questionnaire was formulated, and preferences for front-end elements (headlamps, bonnet, bumper, grille, and side mirrors) were scrutinized through cross-tabulation analysis. The findings revealed the bonnet as the most preferred element, with a preference towards simplistic designs observed across all elements, including the bumper, grille, and side mirrors. Headlamps ranked as the second most preferred element, with a tendency towards emotionally evocative designs. This study offers insights into consumer preferences regarding the front-end elements of electric vehicles and is poised to contribute to the revitalization of Korea’s pure electric vehicle market by providing pertinent information to future electric vehicle manufacturers. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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14 pages, 5600 KiB  
Article
Effects of Visual Complexity of Banner Ads on Website Users’ Perceptions
by Nejc Bočaj and Jure Ahtik
Appl. Sci. 2023, 13(24), 13317; https://doi.org/10.3390/app132413317 - 17 Dec 2023
Cited by 2 | Viewed by 1652
Abstract
Design plays a major role in online advertising. While specific aspects such as color or animation have been extensively studied, there is a surprising lack of comprehensive research on the overall impact of visual design and aesthetics. This study delved into the effects [...] Read more.
Design plays a major role in online advertising. While specific aspects such as color or animation have been extensively studied, there is a surprising lack of comprehensive research on the overall impact of visual design and aesthetics. This study delved into the effects of varying levels of visual complexity in banner ads using the eye-tracking method. Out of 108 participants browsing test webpages with specially designed banners, data from 90 adequately measured data sets were used in the study. Notably, ads with a low level of visual complexity outperformed ads with a high level of visual complexity. While users noticed complex ads slightly faster (by 0.84%), they fixated on them significantly less (by 9.09%) and looked at them less frequently (by 4.79%). An implemented survey questionnaire examining the user perception of the banners reinforced the superiority of simple ads, as they were perceived as 4.40% more appealing in comparison. The study further delved into the correlation between objectively and subjectively evaluated data, exploring the credibility of subjective methods in the process. Considering our results and findings from other studies, it was evident that visually complex ads demanded more cognitive effort, could be more distracting, negatively impacted attention, could contribute to banner blindness and were perceived as less appealing. Full article
(This article belongs to the Special Issue Advanced Technologies for User-Centered Design and User Experience)
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