Topic Editors

Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
School of Design, The Hong Kong Polytechnic University, Hong Kong

Theories and Applications of Human-Computer Interaction

Abstract submission deadline
31 October 2025
Manuscript submission deadline
31 December 2025
Viewed by
27129

Topic Information

Dear Colleagues,

Human–computer interaction (HCI) is a field of study exploring how people use technological systems, with a focus on interfaces between people and technological systems. It is a multidisciplinary field that incorporates computer science, behavioral sciences, human factors, psychology, engineering, design, sociology, anthropology, etc. HCI addresses the design, evaluation, and implementation of interactive technological systems with the central objective of making systems more user-friendly and usable for improved performance, satisfaction, safety, and experience in human use.

The past few decades have seen the rapid development and application of varied new forms of advanced technologies for interaction in our daily life and work. Examples include smartphones, wearable devices, robots, virtual reality, augmented reality, autonomous vehicles, ChatGPT, and other AI-based systems. Despite the wide recognition of the fact that emerging technologies benefit human society , the evidence base for optimal/appropriate HCI regarding these technologies remains limited. Thus, HCI has now become an interdisciplinary field in urgent need of significant innovation, extension, and breakthroughs in terms of both theories and applications. In this regard, this Special Issue is interested in empirical and review studies that address innovations in theories, methods, designs, evaluations, and applications of HCI encountered in a wide range of personal and public contexts at present and in the near future.

Topics of interest include but are not limited to the following:

  • Innovations in HCI theories, methods, design, evaluation, and applications;
  • Innovative HCI applications in industry and complex systems;
  • Intelligent human–computer interaction;
  • HCI in emerging technologies;
  • Human–robot interaction;
  • Human–AI interaction;
  • Human factors and ergonomics of HCI;
  • Multimodal HCI;
  • User experience and usability;
  • Interface design; Natural user interface;
  • Interaction in virtual/augmented/mixed reality;
  • Multimodal design and evaluation;
  • Psychosocial behaviors with technology;
  • Computers in human behavior. 

Dr. Da Tao
Dr. Tingru Zhang
Dr. Hailiang Wang
Topic Editors

Keywords

  • human–computer interaction
  • multimodal HCI
  • human factors
  • user experience
  • interface design
  • artificial intelligence
  • human–AI interaction
  • natural user interface

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Electronics
electronics
2.6 5.3 2012 16.4 Days CHF 2400 Submit
Healthcare
healthcare
2.4 3.5 2013 20.3 Days CHF 2700 Submit
Informatics
informatics
3.4 6.6 2014 38.1 Days CHF 1800 Submit
Machine Learning and Knowledge Extraction
make
4.0 6.3 2019 20.8 Days CHF 1800 Submit
Sensors
sensors
3.4 7.3 2001 18.6 Days CHF 2600 Submit
Systems
systems
2.3 2.8 2013 19.6 Days CHF 2400 Submit
ISPRS International Journal of Geo-Information
ijgi
2.8 6.9 2012 35.8 Days CHF 1900 Submit

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Published Papers (13 papers)

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18 pages, 1054 KiB  
Article
Digital Media Victimization Among Older Adults in Upper-Southern Thailand
by Pimpisa Pituk, Nirachon Chutipattana, Pussadee Laor, Thitipong Sukdee, Jiraprapa Kittikun, Witchayaporn Jitwiratnukool, Rohmatul Fajriyah and Wanvisa Saisanan Na Ayudhaya
Informatics 2025, 12(1), 24; https://doi.org/10.3390/informatics12010024 - 21 Feb 2025
Viewed by 1305
Abstract
Online fraud threatens the well-being of older adults, with disparities in digital literacy and socioeconomic conditions amplifying their vulnerability. This study examined digital literacy and fraud victimization behavior among older adults in urban and rural settings, identifying key factors influencing victimization and its [...] Read more.
Online fraud threatens the well-being of older adults, with disparities in digital literacy and socioeconomic conditions amplifying their vulnerability. This study examined digital literacy and fraud victimization behavior among older adults in urban and rural settings, identifying key factors influencing victimization and its consequences. This cross-sectional analytical study, using multi-stage sampling, included 864 participants from Southern Thailand. The findings revealed that 46.3% of participants had adequate digital literacy, while 75.3% experienced fraud victimization, with higher rates of health impacts in rural areas. Higher age (Adjusted Odds Ratios; AOR: 1.83, p = 0.004), income (AOR: 2.28, p = 0.003), and rural residence (AOR: 3.03, p < 0.001) were significantly associated with an increased likelihood of fraudulent victimization. Conversely, being non-Buddhist (AOR: 0.47, p = 0.001) and having an adequate digital literacy (AOR: 0.50, p < 0.001) were protective factors. Fraud victimization significantly affected older adults’ health, with 29.5% reporting the following adverse outcomes: physical (AOR: 5.55), emotional (AOR: 7.80), social (AOR: 4.97), and overall heightened health risks (AOR: 7.71, p < 0.001). This research highlights the importance of improving digital literacy, fostering community awareness, and implementing tailored fraud-prevention strategies to protect older adults. This study provides a foundation for evidence-based policies aimed at mitigating digital risks and enhancing older adults’ well-being in the digital era. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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26 pages, 890 KiB  
Article
Streaming to Connect: Exploring How Social Connectedness Relates to Empathy Types and Physiological States in Remote Virtual Audiences
by Katherine Wang, Jitesh Joshi and Youngjun Cho
Sensors 2025, 25(3), 872; https://doi.org/10.3390/s25030872 - 31 Jan 2025
Viewed by 937
Abstract
Examining remote virtual audiences is a vital part of understanding social experiences in modern human–computer interaction contexts. Doing so raises intriguing questions about how these mediated connections relate to emotional and physiological states. The vagus nerve is central to socioemotional processing and physiological [...] Read more.
Examining remote virtual audiences is a vital part of understanding social experiences in modern human–computer interaction contexts. Doing so raises intriguing questions about how these mediated connections relate to emotional and physiological states. The vagus nerve is central to socioemotional processing and physiological well-being, with its activation represented as vagally mediated heart rate variability (vmHRV). We examine how participants’ social connectedness to virtual partners relates to their experience of socioemotional competences and psychophysiological states while observing streamed gameplay. In this experimental study with 48 participants, we compared self-reported empathy, empathic concern, and continuously measured vmHRV (from a PPG sensor) during different types of gameplay. The results revealed that viewers who felt greater social connectedness to remote partners also felt more empathic concern (quantitative detail) and had significantly heightened vmHRV (quant detail) across all conditions compared to those who felt lower connectedness. These findings reveal that stronger feelings of connectedness to remote partners are associated with enhanced socioemotional competences and physiological well-being. This research highlights the intertwined nature of social connectedness, empathy, and physiological health, providing valuable insights for designing virtual platforms that foster deeper interpersonal connections and promote well-being. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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25 pages, 6148 KiB  
Article
Toolkit for Inclusion of User Experience Design Guidelines in the Development of Assistants Based on Generative Artificial Intelligence
by Carlos Alberto Peláez, Andrés Solano, Johann A. Ospina, Juan C. Espinosa, Ana S. Montaño, Paola A. Castillo, Juan Sebastián Duque, David A. Castro, Juan M. Nuñez Velasco and Fernando De la Prieta
Informatics 2025, 12(1), 10; https://doi.org/10.3390/informatics12010010 - 24 Jan 2025
Viewed by 2587
Abstract
This study addresses the need to integrate ethical, human-centered principles into user experience (UX) design for generative AI (GenAI)-based assistants. Acknowledging the ethical and societal challenges posed by the democratization of GenAI, this study developed a set of six UX design guidelines and [...] Read more.
This study addresses the need to integrate ethical, human-centered principles into user experience (UX) design for generative AI (GenAI)-based assistants. Acknowledging the ethical and societal challenges posed by the democratization of GenAI, this study developed a set of six UX design guidelines and 37 recommendations to guide development teams in creating GenAI assistants. A card-based toolkit was designed to encapsulate these guidelines, applying color theory and Gestalt principles to enhance usability and understanding. The design science research methodology (DSRM) was followed, and the toolkit was validated through a hands-on workshop with software and UX professionals, assessing usability, user experience, and utility. The quantitative results indicated the high internal consistency and effectiveness of the toolkit, while the qualitative analysis highlighted its capacity to foster collaboration and address GenAI-specific challenges. This study concludes that the toolkit improves usability and utility in UX design for GenAI-based assistants, though it identifies areas for future enhancement and the need for further validation across varied contexts. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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29 pages, 17282 KiB  
Article
Constant Companionship Without Disturbances: Enhancing Transparency to Improve Automated Tasks in Urban Rail Transit Driving
by Tiecheng Ding, Jinyi Zhi, Dongyu Yu, Ruizhen Li, Sijun He, Wenyi Wu and Chunhui Jing
Systems 2024, 12(12), 576; https://doi.org/10.3390/systems12120576 - 18 Dec 2024
Viewed by 929
Abstract
Enhancing transparency through interface design is an effective method for improving driving safety while reducing driver workloads, potentially fostering human–machine collaboration. However, to ensure system usability and safety, operator psychological factors and operational performance must be well balanced. This study investigates how the [...] Read more.
Enhancing transparency through interface design is an effective method for improving driving safety while reducing driver workloads, potentially fostering human–machine collaboration. However, to ensure system usability and safety, operator psychological factors and operational performance must be well balanced. This study investigates how the introduction of transparency design into urban rail transit driving tasks influences drivers’ situational awareness (SA), trust in automation (TiA), sense of agency (SoA), workload, operational performance, and visual behavior. Three transparency driver–machine interface (DMI) information conditions were evaluated: DMI1, which provided continuous feedback on vehicle operating status and actions; DMI1+2, which added inferential explanations; and DMI1+2+3, which further incorporated proactive predictions. Results from simulated driving experiments with 32 participants indicated that an appropriate level of transparency significantly enhanced TiA and SoA, thereby yielding the greatest acceptance. High transparency significantly aided in predictable takeover tasks but affected gains in TiA and SoA, increased workload, and disrupted perception-level SA. Compared with previous research findings, this study indicates the presence of a disparity in transparency needs for low-workload tasks. Therefore, caution should be exercised when introducing high-transparency designs in urban rail transit driving tasks. Nonetheless, an appropriate transparency interface design can enhance the driving experience. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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24 pages, 11868 KiB  
Article
Humanity Test—EEG Data Mediated Artificial Intelligence Multi-Person Interactive System
by Fang Fang, Tanhao Gao and Jie Wu
Sensors 2024, 24(24), 7951; https://doi.org/10.3390/s24247951 - 12 Dec 2024
Viewed by 882
Abstract
Artificial intelligence (AI) systems are widely applied in various industries and everyday life, particularly in fields such as virtual assistants, healthcare, and education. However, this paper highlights that existing research has often overlooked the philosophical and media aspects. To address this, we developed [...] Read more.
Artificial intelligence (AI) systems are widely applied in various industries and everyday life, particularly in fields such as virtual assistants, healthcare, and education. However, this paper highlights that existing research has often overlooked the philosophical and media aspects. To address this, we developed an interactive system called “Human Nature Test”. In this context, “human nature” refers to emotion and consciousness, while “test” involves a critical analysis of AI technology and an exploration of the differences between humanity and technicality. Additionally, through experimental research and literature analysis, we found that the integration of electroencephalogram (EEG) data with AI systems is becoming a significant trend. The experiment involved 20 participants, with two conditions: C1 (using EEG data) and C2 (without EEG data). The results indicated a significant increase in immersion under the C1 condition, along with a more positive emotional experience. We summarized three design directions: enhancing immersion, creating emotional experiences, and expressing philosophical concepts. Based on these findings, there is potential for further developing EEG data as a medium to enrich interactive experiences, offering new insights into the fusion of technology and human emotion. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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15 pages, 4186 KiB  
Review
Human–Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace
by Xiangying Zhao, Shunan Zhang, Dongyan Nan, Jiali Han and Jang Hyun Kim
Healthcare 2024, 12(23), 2467; https://doi.org/10.3390/healthcare12232467 - 6 Dec 2024
Cited by 1 | Viewed by 1825
Abstract
Background/Objectives: Studies on the application and exploration of human–computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a [...] Read more.
Background/Objectives: Studies on the application and exploration of human–computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a notable shortage of comprehensive bibliometric analyses dedicated to the application of HCI in healthcare, which limits a thorough comprehension of the growth trends and future trajectories in this area. Methods: To bridge this gap, we employed bibliometric methods using the CiteSpace tool to systematically review and analyze the current state and trends of HCI research in healthcare. A meticulous topic search of Web of Science yielded 3598 papers published between 2004 and 2023. Results: Through literature analysis, the most productive researchers, institutes, and countries/territories and the collaboration networks among authors and countries within the field were analyzed. Additionally, by conducting a co-citation analysis, journals and literature with high citation rates and influence within the academic community in this field were revealed. Through a cluster analysis based on literature co-citations and keyword burst analyses, we further explored the main research themes and hot topics within the fields of healthcare and HCI. Conclusions: In summary, through a comprehensive and systematic bibliometric analysis, this study provides a solid knowledge foundation for HCI in the healthcare research community, thereby fostering the development of innovative research and the optimization of practical applications in the field. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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16 pages, 2612 KiB  
Article
Influencing Mechanism of Signal Design Elements in Complex Human–Machine System: Evidence from Eye Movement Data
by Siu Shing Man, Wenbo Hu, Hanxing Zhou, Tingru Zhang and Alan Hoi Shou Chan
Informatics 2024, 11(4), 88; https://doi.org/10.3390/informatics11040088 - 21 Nov 2024
Viewed by 1011
Abstract
In today’s rapidly evolving technological landscape, human–machine interaction has become an issue that should be systematically explored. This research aimed to examine the impact of different pre-cue modes (visual, auditory, and tactile), stimulus modes (visual, auditory, and tactile), compatible mapping modes (both compatible [...] Read more.
In today’s rapidly evolving technological landscape, human–machine interaction has become an issue that should be systematically explored. This research aimed to examine the impact of different pre-cue modes (visual, auditory, and tactile), stimulus modes (visual, auditory, and tactile), compatible mapping modes (both compatible (BC), transverse compatible (TC), longitudinal compatible (LC), and both incompatible (BI)), and stimulus onset asynchrony (200 ms/600 ms) on the performance of participants in complex human–machine systems. Eye movement data and a dual-task paradigm involving stimulus–response and manual tracking were utilized for this study. The findings reveal that visual pre-cues can captivate participants’ attention towards peripheral regions, a phenomenon not observed when visual stimuli are presented in isolation. Furthermore, when confronted with visual stimuli, participants predominantly prioritize continuous manual tracking tasks, utilizing focal vision, while concurrently executing stimulus–response compatibility tasks with peripheral vision. Furthermore, the average pupil diameter tends to diminish with the use of visual pre-cues or visual stimuli but expands during auditory or tactile stimuli or pre-cue modes. These findings contribute to the existing literature on the theoretical design of complex human–machine interfaces and offer practical implications for the design of human–machine system interfaces. Moreover, this paper underscores the significance of considering the optimal combination of stimulus modes, pre-cue modes, and stimulus onset asynchrony, tailored to the characteristics of the human–machine interaction task. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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16 pages, 5604 KiB  
Article
Effect of Mechanical Keyboard Switch and Backlight Status on Typing Performance and User Experience
by Jutao Li, Junwen Wang and Yanqun Huang
Electronics 2024, 13(21), 4205; https://doi.org/10.3390/electronics13214205 - 27 Oct 2024
Viewed by 2201
Abstract
Mechanical keyboards are one of the most used keyboards in daily work, and as the core component of a mechanical keyboard, keyswitches’ characteristics have been widely researched during the last several decades. Meanwhile, keyboards’ backlight design has become an emerging market trend, even [...] Read more.
Mechanical keyboards are one of the most used keyboards in daily work, and as the core component of a mechanical keyboard, keyswitches’ characteristics have been widely researched during the last several decades. Meanwhile, keyboards’ backlight design has become an emerging market trend, even though its actual influence on user experience remains unknown. Our study investigated the influence of keyboard switch characteristics and backlight states on typing performance and subjective typing experience. Thirty-three participants were involved in an English-language typing task on keyboards with four typical switches (red, black, brown, and blue types). Software was used to automatically record typing speed and accuracy, and a 7-point Likert subjective scale was used to evaluate typing experience. Results showed that tactile characteristics performed better than linear switches in typing speed, accuracy, and subjective refresh feeling in pair comparison of blue and red switches, and turning on the backlight effect improved typing speed, refreshing feeling, and pleasure. Among six physical characteristics of switches measured in the experiment, pre travel, reset travel, make force, and bottom force contributed more to better typing performance and subjective experience. Our findings provide keyboard manufacturers and researchers with a reference to optimize users’ typing experience. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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24 pages, 1713 KiB  
Article
Language Styles, Recovery Strategies and Users’ Willingness to Forgive in Generative Artificial Intelligence Service Recovery: A Mixed Study
by Dong Lv, Rui Sun, Qiuhua Zhu, Yue Cheng, Rongrong Wang and Shukun Qin
Systems 2024, 12(10), 430; https://doi.org/10.3390/systems12100430 - 14 Oct 2024
Viewed by 1625
Abstract
As the prevalence of generative artificial intelligence (GenAI) in the service sector continues to grow, the impact of the language style and recovery strategies utilized during service failures remains insufficiently explored. This study, grounded in the theory of social presence and dual-process theory, [...] Read more.
As the prevalence of generative artificial intelligence (GenAI) in the service sector continues to grow, the impact of the language style and recovery strategies utilized during service failures remains insufficiently explored. This study, grounded in the theory of social presence and dual-process theory, employed a mixed-method approach combining questionnaire surveys and event-related potential (ERP) experiments to investigate the effect of different language styles (rational vs. humorous) and recovery strategies (gratitude vs. apology) on users’ willingness to forgive during the GenAI service recovery process. It further delves into the chained mediating role of perceived sincerity and social presence in this process. The findings revealed that a humorous language style was more effective in enhancing users’ willingness to forgive compared to a rational style, primarily through the enhancement of users’ perceived sincerity and sense of social presence; recovery strategies played a moderating role in this process, with the positive impact of perceived sincerity on social presence being significantly amplified when the GenAI service adopted an apology strategy. ERP results indicated that a rational language style significantly induced a larger N2 component (cognitive conflict) in apology scenarios, while a humorous style exhibited higher amplitude in the LPP component (positive emotional evaluation). This research unveils the intricate relationships between language style, recovery strategies, and users’ willingness to forgive in the GenAI service recovery process, providing important theoretical foundations and practical guidance for designing more effective GenAI service recovery strategies, and offering new insights into developing more efficacious GenAI service recovery tactics. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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14 pages, 1122 KiB  
Article
A Framework for Antecedents to Health Information Systems Uptake by Healthcare Professionals: An Exploratory Study of Electronic Medical Records
by Reza Torkman, Amir Hossein Ghapanchi and Reza Ghanbarzadeh
Informatics 2024, 11(3), 44; https://doi.org/10.3390/informatics11030044 - 9 Jul 2024
Cited by 2 | Viewed by 1852
Abstract
Health information systems (HISs) are essential information systems used by organisations and individuals for various purposes. Past research has studied different types of HIS, such as rostering systems, Electronic Medical Records (EMRs), and Personal Health Records (PHRs). Although several past confirmatory studies have [...] Read more.
Health information systems (HISs) are essential information systems used by organisations and individuals for various purposes. Past research has studied different types of HIS, such as rostering systems, Electronic Medical Records (EMRs), and Personal Health Records (PHRs). Although several past confirmatory studies have quantitatively examined EMR uptake by health professionals, there is a lack of exploratory and qualitative studies that uncover various drivers of healthcare professionals’ uptake of EMRs. Applying an exploratory and qualitative approach, this study introduces various antecedents of healthcare professionals’ uptake of EMRs. This study conducted 78 semi-structured, open-ended interviews with 15 groups of healthcare professional users of EMRs in two large Australian hospitals. Data analysis of qualitative data resulted in proposing a framework comprising 23 factors impacting healthcare professionals’ uptake of EMRs, which are categorised into ten main categories: perceived benefits of EMR, perceived difficulties, hardware/software compatibility, job performance uncertainty, ease of operation, perceived risk, assistance society, user confidence, organisational support, and technological support. Our findings have important implications for various practitioner groups, such as healthcare policymakers, hospital executives, hospital middle and line managers, hospitals’ IT departments, and healthcare professionals using EMRs. Implications of the findings for researchers and practitioners are provided herein in detail. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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13 pages, 9082 KiB  
Article
Exploring Metaphorical Transformations of a Safety Boundary Wall in Virtual Reality
by Haozhao Qin, Yechang Qin, Jianchun Su and Yang Tian
Sensors 2024, 24(10), 3187; https://doi.org/10.3390/s24103187 - 17 May 2024
Viewed by 1298
Abstract
Current virtual reality (VR) devices enable users to visually immerse themselves in the virtual world, contributing to their limited awareness of bystanders’ presence. To prevent collisions when bystanders intrude into VR users’ activity area, it is necessary to intuitively alert VR users to [...] Read more.
Current virtual reality (VR) devices enable users to visually immerse themselves in the virtual world, contributing to their limited awareness of bystanders’ presence. To prevent collisions when bystanders intrude into VR users’ activity area, it is necessary to intuitively alert VR users to the intrusion event and the intruder’s position, especially in cases where bystanders intrude from the side or behind the VR user. Existing intruder awareness cues fail to intuitively present the intrusion event in such cases. We propose a novel intruder awareness cue called “BrokenWall” by applying a metaphor of “a wall breached by invading soldiers” to the VR user’s safety boundary wall. Specifically, BrokenWall refers to a safety boundary wall with a gap appearing in front of a VR user and rotating, guiding the user’s attention toward an intruder coming from the side or behind the VR user. We conducted an empirical study (N = 30) comparing BrokenWall with existing awareness cue techniques, Halo and Radar. Halo employs a sphere to represent the intruder, with the size indicating proximity and the position reflecting the direction. Radar employs a radar map to visualize the intruder’s position. The results showed that the BrokenWall awareness cue not only significantly reduces the time needed for users to detect an intruder but also has superior performance in subjective ratings. Based on our findings, we have established a design space for an interactive safety boundary wall to facilitate interactions between VR users and bystanders. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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19 pages, 1405 KiB  
Article
Investigating User Experience of VR Art Exhibitions: The Impact of Immersion, Satisfaction, and Expectation Confirmation
by Lin Cheng, Junping Xu and Younghwan Pan
Informatics 2024, 11(2), 30; https://doi.org/10.3390/informatics11020030 - 16 May 2024
Cited by 4 | Viewed by 4456
Abstract
As an innovative form in the digital age, VR art exhibitions have attracted increasing attention. This study aims to explore the key factors that influence visitors’ continuance intention to VR art exhibitions using the expectation confirmation model and experience economy theory and to [...] Read more.
As an innovative form in the digital age, VR art exhibitions have attracted increasing attention. This study aims to explore the key factors that influence visitors’ continuance intention to VR art exhibitions using the expectation confirmation model and experience economy theory and to explore ways to enhance visitor immersion in virtual environments. We conducted a quantitative study of 235 art professionals and enthusiasts, conducted using the partial least squares structural equation modeling (PLS-SEM), to examine the complex relationship between confirmation (CON), Perceived Usefulness (PU), Aesthetic Experiences (AE), Escapist Experiences (EE), Satisfaction (SAT), and Continuance Intention (CI). The results show that confirmation plays a key role in shaping PU, AE, and EE, which in turn positively affect visitors’ SAT. Among these factors, AE positively impacts PU, but EE have no impact. A comprehensive theoretical model was then constructed based on the findings. This research provides empirical support for designing and improving VR art exhibitions. It also sheds light on the application of expectation confirmation theory and experience economy theory in the art field to improve user experience and provides theoretical guidance for the sustainable development of virtual digital art environment. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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16 pages, 20538 KiB  
Article
Exploring the Role of Video Playback Visual Cues in Object Retrieval Tasks
by Yechang Qin, Jianchun Su, Haozhao Qin and Yang Tian
Sensors 2024, 24(10), 3147; https://doi.org/10.3390/s24103147 - 15 May 2024
Viewed by 1303
Abstract
Searching for objects is a common task in daily life and work. For augmented reality (AR) devices without spatial perception systems, the image of the object’s last appearance serves as a common search assistance. Compared to using only images as visual cues, videos [...] Read more.
Searching for objects is a common task in daily life and work. For augmented reality (AR) devices without spatial perception systems, the image of the object’s last appearance serves as a common search assistance. Compared to using only images as visual cues, videos capturing the process of object placement can provide procedural guidance, potentially enhancing users’ search efficiency. However, complete video playback capturing the entire object placement process as visual cues can be excessively lengthy, requiring users to invest significant viewing time. To explore whether segmented or accelerated video playback can still assist users in object retrieval tasks effectively, we conducted a user study. The results indicated that when video playback is covering the first appearance of the object’s destination to the object’s final appearance (referred to as the destination appearance, DA) and playing at normal speed, search time and cognitive load were significantly reduced. Subsequently, we designed a second user study to evaluate the performance of video playback compared to image cues in object retrieval tasks. The results showed that combining the DA playback starting point with images of the object’s last appearance further reduced search time and cognitive load. Full article
(This article belongs to the Topic Theories and Applications of Human-Computer Interaction)
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