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Current Status and Perspectives in Human–Computer Interaction
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Current Status and Perspectives in Human–Computer Interaction

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 September 2025 | Viewed by 8421

Special Issue Editor

Dr. Wonjoon Kim

E-Mail Website
Guest Editor
Division of Future Convergence (HCI Science Major), Dongduk Women's University, Seoul 02748, Republic of Korea
Interests: deep-learning; unstructured data analysis; affective engineering, human factors; UX (user experience)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, titled "Current Status and Perspectives in Human–Computer Interaction", aims to explore cutting-edge developments and applications in the field of Human–Computer Interaction (HCI). As technology advances, how humans interact with digital systems and devices continually evolves, pushing the boundaries of what is possible in HCI. This issue seeks to bring together innovative research, case studies, and comprehensive reviews that highlight novel interaction techniques, user experience (UX) design strategies, accessibility improvements, and the integration of emerging technologies such as virtual reality (VR), augmented reality (AR), artificial intelligence (AI), and machine learning (ML) in HCI. Contributions may cover various topics, from theoretical frameworks and models to practical applications and case studies demonstrating the impact of advanced HCI technologies in multiple domains, such as healthcare, education, entertainment, and industry. This Special Issue aims to provide researchers, practitioners, and educators with a platform to share their insights and findings, fostering a deeper understanding of current challenges and opportunities in HCI.

Dr. Wonjoon Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human–computer interaction (HCI)
  • human–AI collaboration
  • interaction design
  • virtual/augmented reality (VR/AR)
  • AI/ML in HCI
  • accessibility in HCI
  • multimodal interaction
  • HCI in various domain (healthcare, education, entertainment, etc.)

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Published Papers (5 papers)

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Research

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13 pages, 2080 KiB  
Article
From Barriers to Breakthroughs: Rethinking Autonomous Vehicle Design for Visually Impaired Users
by Myungbin Choi, Taehun Kim, Seungjae Kim, Taejin Kim and Wonjoon Kim
Appl. Sci. 2025, 15(10), 5659; https://doi.org/10.3390/app15105659 - 19 May 2025
Viewed by 322
Abstract
The movement of visually impaired people is still limited, and they often require assistance from others. In this study, along with the development of autonomous driving technology, a future mobility design that will help visually impaired people conveniently move around was proposed. The [...] Read more.
The movement of visually impaired people is still limited, and they often require assistance from others. In this study, along with the development of autonomous driving technology, a future mobility design that will help visually impaired people conveniently move around was proposed. The Double-Diamond model, a representative UX evaluation method, was revised and used for the evaluation. After discovering the mobility problems of the visually impaired, we developed the problem into an idea and designed future mobility based on the idea. Then, it was delivered to visually impaired people, and a utility test was performed on the new concept and functions. Six functions were proposed in scenarios for each moving process, and the evaluation results showed that drop-off notification using multi-senses showed the highest utilization. It is hoped that the expansion of self-driving vehicles will increase the mobility of visually impaired people with difficulty driving. Full article
(This article belongs to the Special Issue Current Status and Perspectives in Human–Computer Interaction)
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22 pages, 6433 KiB  
Article
Boosting Safety Protocol Compliance with Eye-Tracking in Chemical Plants
by Yangyi Xia, Yulin Zhao and Wu Song
Appl. Sci. 2025, 15(10), 5368; https://doi.org/10.3390/app15105368 - 12 May 2025
Viewed by 349
Abstract
In high-risk industrial environments such as chemical plants, where operators are frequently exposed to time-sensitive hazards, ensuring strict safety protocol compliance is essential. Traditional safety training approaches often fail to effectively engage workers in cognitively demanding tasks, highlighting the need for immersive and [...] Read more.
In high-risk industrial environments such as chemical plants, where operators are frequently exposed to time-sensitive hazards, ensuring strict safety protocol compliance is essential. Traditional safety training approaches often fail to effectively engage workers in cognitively demanding tasks, highlighting the need for immersive and feedback-driven alternatives. This study investigates the integration of extended reality (XR) and real-time eye-tracking feedback into safety training programs. Participants were divided into two groups: XR-only training and XR with real-time gaze feedback. The compliance assessment is based on five key metrics: reaction time, operational accuracy, attention focus, error count, and corrective response time. Results showed that eye-tracking-enhanced training reduced reaction time by 25%, improved accuracy by 15%, increased attention focus by 20%, and decreased errors by 30%. Additionally, real-time gaze feedback improved corrective response time by 40%, particularly benefiting inexperienced operators. These findings demonstrate that integrating gaze-tracking into XR-based training enhances cognitive engagement, reduces human error, and improves compliance with safety protocols. This study provides empirical evidence supporting the adoption of XR with eye-tracking for industrial safety training, with potential applications in other high-risk fields. Full article
(This article belongs to the Special Issue Current Status and Perspectives in Human–Computer Interaction)
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19 pages, 861 KiB  
Article
Psychological Foundations for Effective Human–Computer Interaction in Education
by Elena Dell’Aquila, Michela Ponticorvo and Pierpaolo Limone
Appl. Sci. 2025, 15(6), 3194; https://doi.org/10.3390/app15063194 - 14 Mar 2025
Viewed by 1000
Abstract
This paper investigates the integration of emotional, cognitive, and interactional processes in the design of educational technologies through the lens of Human–Computer Interaction (HCI). While previous studies have focused on cognitive and interactional engagement, emotional engagement remains underdeveloped in many tools, limiting learning [...] Read more.
This paper investigates the integration of emotional, cognitive, and interactional processes in the design of educational technologies through the lens of Human–Computer Interaction (HCI). While previous studies have focused on cognitive and interactional engagement, emotional engagement remains underdeveloped in many tools, limiting learning effectiveness. To bridge this gap, this study proposes a theoretical holistic framework integrating usability, emotional intelligence, and adaptive interaction. Through a qualitative analysis, we examine educational platforms—including Duolingo, Khan Academy, and Google Classroom—alongside simulation-based systems such as EduTechRPGs. The study applies Cognitive Load Theory, Emotional Intelligence Theory, and Self-Determination Theory to assess their effectiveness. The findings highlight the importance of designing emotionally intelligent, scalable, and adaptive learning environments, and the proposed framework integrates psychological principles to boost engagement, motivation, and learning outcomes. This study contributes to a learner-centered HCI approach, ensuring that educational technologies support both cognitive and emotional development. Future research should validate the proposed framework empirically and explore interdisciplinary approaches to optimize educational technology. This study highlights the role of HCI in creating meaningful digital learning experiences by integrating psychology, cognitive science, and user experience design. Full article
(This article belongs to the Special Issue Current Status and Perspectives in Human–Computer Interaction)
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Review

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17 pages, 852 KiB  
Review
A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges
by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen and Jialong Li
Appl. Sci. 2025, 15(7), 3937; https://doi.org/10.3390/app15073937 - 3 Apr 2025
Viewed by 1024
Abstract
Multimodal interaction technology has become a key aspect of remote education by enriching student engagement and learning results as it utilizes the speech, gesture, and visual feedback as various sensory channels. This publication reflects on the latest breakthroughs in multimodal interaction and its [...] Read more.
Multimodal interaction technology has become a key aspect of remote education by enriching student engagement and learning results as it utilizes the speech, gesture, and visual feedback as various sensory channels. This publication reflects on the latest breakthroughs in multimodal interaction and its usage in remote learning environments, including a multi-layered discussion that addresses various levels of learning and understanding. It showcases the main technologies, such as speech recognition, computer vision, and haptic feedback, that enable the visitors and learning portals to exchange data fluidly. In addition, we investigate the function of multimodal learning analytics in order to measure the cognitive and emotional states of students, targeting personalized feedback and refining instructional strategies. Though multimodal communication may bring a historical improvement to the mode of online education, the platform still faces many issues, such as media synchronization, higher computational demand, physical adaptability, and privacy concerns. These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. This paper presents a systematic review of the application of multimodal interaction in remote education. Through the analysis of 25 selected research papers, this review explores key technologies, applications, and challenges in the field. By synthesizing existing findings, this study highlights the role of multimodal learning analytics, speech recognition, gesture-based interaction, and haptic feedback in enhancing remote learning. Full article
(This article belongs to the Special Issue Current Status and Perspectives in Human–Computer Interaction)
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16 pages, 2966 KiB  
Review
A Systematic Review of Accessibility Techniques for Online Platforms: Current Trends and Challenges
by Valentin Bercaru and Nirvana Popescu
Appl. Sci. 2024, 14(22), 10337; https://doi.org/10.3390/app142210337 - 10 Nov 2024
Cited by 1 | Viewed by 4417
Abstract
Accessibility in online platforms is a critical concern in our increasingly digital world, where information and services are predominantly accessed through the Internet. The purpose of this systematic review is to provide a comprehensive overview of the current state of the art in [...] Read more.
Accessibility in online platforms is a critical concern in our increasingly digital world, where information and services are predominantly accessed through the Internet. The purpose of this systematic review is to provide a comprehensive overview of the current state of the art in online accessibility technologies, and it is focused on key tools such as sign language recognition, speech-to-text, text-to-speech, and voice recognition. Despite advancements in digital inclusivity, numerous technical limitations persist, which limit the accessibility of online content for individuals with disabilities. Our findings indicate that while speech and voice technologies have achieved good accuracies and low word error rates, further research is needed to improve the accuracy and usability of sign language recognition systems, especially for continuous sign language recognition, as they have low accuracy. In this review, we analyzed research articles and publications from well-known databases, including Google Scholar, Elsevier, IEEE Xplore, and Springer. In order to ensure a high standard of quality, we applied the PRISMA 2020 and PEDro methodologies to quantitatively and qualitatively filter the thousands of articles provided by these databases, and we selected only studies that were related to our study. Key areas of investigation included the performance and accuracy of sign language interfaces, speech-to-text, text-to-speech, and speech recognition applications and the compatibility of these technologies with different platforms and devices. This review also explores the role of emerging technologies such as artificial intelligence (AI) and machine learning (ML) in enhancing accessibility and personalizing user experiences. Through a critical analysis of current solutions and a discussion of existing gaps, this paper offers insights into potential improvements and future directions for creating more accessible online environments. The findings might be valuable to researchers and developers dedicated to promoting digital inclusivity and equality. Full article
(This article belongs to the Special Issue Current Status and Perspectives in Human–Computer Interaction)
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