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Electronics
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Future Trends and Challenges in Human-Computer Interaction
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Future Trends and Challenges in Human-Computer Interaction

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (22 February 2024) | Viewed by 8118

Special Issue Editors

Prof. Dr. Huseyin Dogan

E-Mail Website
Guest Editor
Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Bournemouth BH8 8GP, UK
Interests: human–computer interaction; assistive technology; digital health and systems; engineering
Prof. Dr. Nan Jiang

E-Mail Website
Guest Editor
Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Fern Barrow, Poole BH12 5BB, UK
Interests: human–computer interaction; usability engineering; interaction design
Prof. Dr. Kerem Rizvanoglu

E-Mail Website
Guest Editor
Faculty of Communication, Galatasaray University, 34349 Istanbul, Turkey
Interests: accessibility; user experience; human–computer interaction; usability

Special Issue Information

Dear Colleagues,

The aim of this Special Issue, entitled "Future Trends and Challenges in Human-Computer Interaction", is to assemble researchers and practitioners in support of the evolvement of the HCI field. We are in need of an in-depth understanding of the transition from the classical HCI research towards human-centred artificial intelligence (HCAI) and data-centred interactive intelligent systems. Novel approaches supporting such an evolution in the sustainability of the HCI discipline require attention.

The future of user experience (UX) research across the tech industry, as well as the fusion of UX across heterogeneous domains (such as healthcare, e-commerce, education, aerospace and defence, transport and manufacturing) require novel trends in methodological considerations from practitioner and researcher points-of-view. Ethical considerations supporting the shift towards AI and data-driven intelligence environments, as well as the HCI’s role in automation, are becoming significantly important.

The purpose of this Special Issue is to acquire novel trends concerning the HCI and share them with the wider community in support of the democratisation and sustainability of the HCI discipline, along with its fusion across heterogeneous domains. We aim to address recent HCI advances in both human-centred artificial intelligence and intelligent environment areas to delineate a future research roadmap.

We invite submissions in the form of original and empirical research, use cases and review papers aligning with one or more of the following themes:

  • The democratisation and sustainability of HCI;
  • Human-centred artificial intelligence, e.g., human usage, access and evaluation of AI technology;
  • The HCI and interaction design with big data analytics;
  • The HCI in automation and ethics;
  • Novel approaches in user experience and interaction design;
  • Human factors and human behavioural analysis in intelligent environments;
  • Diversity-, accessibility- and inclusivity-centred research in the HCI;
  • The HCI in assistive technology and digital health.

Prof. Dr. Huseyin Dogan
Prof. Dr. Nan Jiang
Prof. Dr. Kerem Rizvanoglu
Guest Editors

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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

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
  • human-centred artificial intelligence
  • usability
  • user experience
  • interaction design
  • human factors
  • accessibility
  • intelligent systems
  • ethics
  • human-centred design

Published Papers (5 papers)

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Research

17 pages, 6752 KiB  
Article
iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels
by Jitesh Joshi and Youngjun Cho
Electronics 2024, 13(7), 1334; https://doi.org/10.3390/electronics13071334 - 2 Apr 2024
Viewed by 1289
Abstract
Remote photo-plethysmography (rPPG) has emerged as a non-intrusive and promising physiological sensing capability in human–computer interface (HCI) research, gradually extending its applications in health-monitoring and clinical care contexts. With advanced machine learning models, recent datasets collected in real-world conditions have gradually enhanced the [...] Read more.
Remote photo-plethysmography (rPPG) has emerged as a non-intrusive and promising physiological sensing capability in human–computer interface (HCI) research, gradually extending its applications in health-monitoring and clinical care contexts. With advanced machine learning models, recent datasets collected in real-world conditions have gradually enhanced the performance of rPPG methods in recovering heart-rate and heart-rate-variability metrics. However, the signal quality of reference ground-truth PPG data in existing datasets is by and large neglected, while poor-quality references negatively influence models. Here, this work introduces a new imaging blood volume pulse (iBVP) dataset of synchronized RGB and thermal infrared videos with ground-truth PPG signals from ear with their high-resolution-signal-quality labels, for the first time. Participants perform rhythmic breathing, head-movement, and stress-inducing tasks, which help reflect real-world variations in psycho-physiological states. This work conducts dense (per sample) signal-quality assessment to discard noisy segments of ground-truth and corresponding video frames. We further present a novel end-to-end machine learning framework, iBVPNet, that features an efficient and effective spatio-temporal feature aggregation for the reliable estimation of BVP signals. Finally, this work examines the feasibility of extracting BVP signals from thermal video frames, which is under-explored. The iBVP dataset and source codes are publicly available for research use. Full article
(This article belongs to the Special Issue Future Trends and Challenges in Human-Computer Interaction)
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13 pages, 5085 KiB  
Article
Virtual Agents in DTx: Focusing on Usability and Therapeutic Effectiveness
by Harim Jeong, Joo Hun Yoo, Michelle Goh and Hayeon Song
Electronics 2024, 13(1), 14; https://doi.org/10.3390/electronics13010014 - 19 Dec 2023
Viewed by 829
Abstract
In the emergent field of digital therapeutics (DTx), this study examines the impact of virtual agent design on usability and therapeutic outcomes. Emphasizing the virtual agent’s role, our research highlights a marked therapeutic effect tied to the DTx’s developed parameters. Continuous usage, influenced [...] Read more.
In the emergent field of digital therapeutics (DTx), this study examines the impact of virtual agent design on usability and therapeutic outcomes. Emphasizing the virtual agent’s role, our research highlights a marked therapeutic effect tied to the DTx’s developed parameters. Continuous usage, influenced by perceived usefulness, user attitudes, and intrinsic enjoyment, emerges as a crucial determinant for desired outcomes. The study finds anthropomorphism and agent likeability as pivotal factors in enhancing user experience and promoting sustained DTx use. Although focusing on mental health, particularly depression, the implications suggest varied results across DTx types. Given these insights, our findings advocate for a deeper exploration into agent-centric DTx designs, particularly in mental health applications. The nuances of user engagement with these therapeutic tools, especially in treating conditions like depression, demonstrate a diverse range of effects and underscore the importance of personalized approaches in digital therapeutics. This study’s outcomes not only shed light on the significant role of virtual agents but also call for continuous innovation and research in this evolving domain. Full article
(This article belongs to the Special Issue Future Trends and Challenges in Human-Computer Interaction)
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16 pages, 1763 KiB  
Article
Language-Led Visual Grounding and Future Possibilities
by Zezhou Sui, Mian Zhou, Zhikun Feng, Angelos Stefanidis and Nan Jiang
Electronics 2023, 12(14), 3142; https://doi.org/10.3390/electronics12143142 - 20 Jul 2023
Cited by 1 | Viewed by 1362
Abstract
In recent years, with the rapid development of computer vision technology and the popularity of intelligent hardware, as well as the increasing demand for human–machine interaction in intelligent products, visual localization technology can help machines and humans to recognize and locate objects, thereby [...] Read more.
In recent years, with the rapid development of computer vision technology and the popularity of intelligent hardware, as well as the increasing demand for human–machine interaction in intelligent products, visual localization technology can help machines and humans to recognize and locate objects, thereby promoting human–machine interaction and intelligent manufacturing. At the same time, human–machine interaction is constantly evolving and improving, becoming increasingly intelligent, humanized, and efficient. In this article, a new visual localization model is proposed, and a language validation module is designed to use language information as the main information to increase the model’s interactivity. In addition, we also list the future possibilities of visual localization and provide two examples to explore the application and optimization direction of visual localization and human–machine interaction technology in practical scenarios, providing reference and guidance for relevant researchers and promoting the development and application of visual localization and human–machine interaction technology. Full article
(This article belongs to the Special Issue Future Trends and Challenges in Human-Computer Interaction)
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15 pages, 16361 KiB  
Article
WYDISWYG: A Method to Design User Interfaces Combining Design Principles and Quality Factors
by Julián Galindo-Losada, Carlos Ayala-Tipan, Marco Santórum, Mayra Carrión-Toro and Patricia Acosta-Vargas
Electronics 2023, 12(13), 2772; https://doi.org/10.3390/electronics12132772 - 22 Jun 2023
Cited by 1 | Viewed by 2489
Abstract
The field of human–computer interaction is constantly evolving and facing new challenges. In this study, we propose an experimental method for designing e-commerce user interfaces with varying levels of aesthetics and usability while maintaining a similar level of user experience. The method is [...] Read more.
The field of human–computer interaction is constantly evolving and facing new challenges. In this study, we propose an experimental method for designing e-commerce user interfaces with varying levels of aesthetics and usability while maintaining a similar level of user experience. The method is based on the Deming Cycle and Nielsen’s framework for design principles. Four e-commerce websites were designed with low/high levels of aesthetics and usability. Based on 160 surveys, the experimental results demonstrated that it is possible to design user interfaces with varying levels of aesthetics and usability while maintaining a similar level of user design perception. Our findings suggest that usability is more crucial than aesthetics in enhancing user experience, which aligns with previous studies. We also emphasize considering aesthetics and usability in UI design and propose the principle “What You Design Is What You Get” (WYDISWYG) as a foundation for future research. Among the evaluated websites, Website1 (the best design) achieved the highest UI quality, with users perceiving it positively at an impressive rate of almost 0.91 percent. In contrast, Website4 (the worst design) had the lowest UI quality, receiving a perception score of only 0.38 percent. The websites designed with a combination of aesthetics and usability, Website2 and Website3, garnered different perception values of 0.79 and 0.51, respectively. While this study has some limitations, such as the subjective selection of features and the focus on e-commerce websites only, it provides a starting point for further investigation into the selection of design principles, consideration of other website domains, and clarification of users’ perception of UI elements to align with Nielsen’s principles. Full article
(This article belongs to the Special Issue Future Trends and Challenges in Human-Computer Interaction)
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20 pages, 2673 KiB  
Article
Selection Interface for Promoting User Selection Diversity by Presenting Positive/Negative Review Text and Video to Evoke Product Impression and User Emotion
by Tomoyuki Shimizu, Kyosuke Futami, Tsutomu Terada and Masahiko Tsukamoto
Electronics 2023, 12(12), 2611; https://doi.org/10.3390/electronics12122611 - 9 Jun 2023
Viewed by 1010
Abstract
In recent years, unintentional bias in user selection has hindered the growth of information device interfaces and algorithms. To address this problem, it is essential to clarify the factors that influence a user’s selection bias and to design methods that diversify the user [...] Read more.
In recent years, unintentional bias in user selection has hindered the growth of information device interfaces and algorithms. To address this problem, it is essential to clarify the factors that influence a user’s selection bias and to design methods that diversify the user selection without bias. This study focused on the positivity and negativity of reviews and videos as factors that influence a user’s selection bias and investigated whether viewing them increases or decreases a user’s selection diversity. Based on the results, we aimed to show effective methods for improving a user’s selection diversity by evoking a user’s product impression through a review presentation and by evoking a user’s emotion through a video presentation. This study drew inspiration from the broaden-and-build theory, which suggests that exposure to positive or negative information can impact an individual’s selection diversity. In this study, we implemented a smartphone application for online product purchase for an experimental task in which individuals repeatedly selected one of five different drinks. Two experiments were conducted to investigate the effect of reviews and videos on user selection. Experiment 1 showed that viewing positive reviews promoted diversity in a user selection and that both positive and negative reviews promoted brand switching (i.e., selecting different products in a consecutive selection). Experiment 2 indicated that watching a negative video potentially decreased a user’s selection diversity. Our study is helpful for understanding the effect of viewing reviews and videos on user selection and for designing interfaces that promote diverse user selection. Full article
(This article belongs to the Special Issue Future Trends and Challenges in Human-Computer Interaction)
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