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: 25 February 2025 | Viewed by 190
Special Issue Editor
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
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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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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Evaluating the Intentional Dimension of Large Language Models using Conceptual exploration
Authors: Joaquin Borrego-Díaz
Affiliation: Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla, E.T.S. Ingeniería Informática, Avda. Reina Mercedes s.n., 41012 Sevilla, Spain
Abstract: Large Language Models (LLMs) have shown a remarkable ability to generate coherent and contextually relevant text. However, assessing their ability to understand abstract concepts and their relationships remains a challenge. This paper proposes to use Formal Concept Analysis (FCA) as a framework to evaluate the "intentional dimension" of LLMs, that is, their ability to understand and reason about the properties that define a concept. The attribute exploration algorithm was implemented to interact with LLMs and build concept lattices from three different knowledge domains: integers, Region Connection Calculus (RCC), and Top-Level Categories. The results reveal that while LLMs can build concept lattices, their structure and content often differ significantly from the reference lattices, suggesting an incomplete or inconsistent understanding of the concepts evaluated. Furthermore, two strategies were explored to improve the conceptual understanding of LLMs: the inclusion of the STEM basis and the inclusion of the complete formal context in the prompt. Preliminary results indicate that while these strategies may improve the similarity of concept lattices in some cases, further research is needed to develop more robust and effective methods for teaching abstract concepts to LLMs.
Title: Psychological Foundations for Effective Human-Computer Interaction in Education
Authors: Elena Dell’Aquila; Michela Ponticorvo
Affiliation: Department of Humanities, University of Naples Federico II, 80133 Naples, Italy
Abstract: This paper explores the critical role of psychological factors in shaping effective and meaningful Human-Computer Interaction (HCI) within educational environments. By examining psychological processes (emotional, cognitive, interactional), processes involved in user engagement, and learning theories, the paper proposes a framework for enhancing the design and usability of educational technologies. The aim is to bridge the gap between technological design and the psychological needs of learners, ultimately fostering a more impactful educational experience.
Title: In-depth analysis of the current state of the art of accessibility techniques for online platforms: A Systematic Review
Authors: Nirvana Popescu; Valentin Bercaru
Affiliation: Computer Science Department, University Politehnica of Bucharest, 060042 Bucharest, Romania
Abstract: The accessibility of online platforms is a critical concern in our increasingly digital world, where information and services are predominantly accessed through the Internet. This systematic review aims to provide a comprehensive overview of the current state of the art in online accessibility technologies, focusing on key tools such as sign language recognition, speech to text, text to speech and voice recognition. Despite advancements in digital inclusivity, numerous barriers persist, limiting the accessibility of online content for individuals with disabilities. In this review, we analyzed research articles and publications from prominent databases, including Google Scholar, Elsevier, IEEE Xplore and Springer. To ensure a high standard of quality, we applied the PRISMA and PEDro methodologies to filter quantitatively and qualitatively the thousands of articles provided by these databases, selecting only studies that were related to our study. Key areas of investigation include 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. The 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.
