Human-Computer Interaction Techniques and Applications

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

Deadline for manuscript submissions: closed (15 October 2024) | Viewed by 1442

Special Issue Editors


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Guest Editor
Infocomm Technology Cluster, Singapore Institute of Technology, Singapore 138683, Singapore
Interests: human-computer interaction; mobile computing; virtual, augmented & mixed reality design
School of Computing Science, University of Glasgow, Singapore 567739, Singapore
Interests: virtual reality; augmented reality; data analytics; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Infocomm Technology Cluster, Singapore Institute of Technology, Singapore 138683, Singapore
Interests: computer graphics; virtual reality; human-computer interaction; computer vision; visualization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Human-computer interaction (HCI) plays a pivotal role in shaping the way individuals interact with technology, bridging the gap between human capabilities and system functionality. There exists a spectrum of interaction modalities, ranging from traditional keyboard and mouse inputs to emerging technologies such as gesture recognition, speech inputs, generative AI, and virtual and augmented reality.

The emergence of new technological advancements, including generative artificial intelligence, mobile computing, Internet of Things (IoT), extended reality, and virtual and augmented reality, have created new requirements for the effective design of user experiences and introduced opportunities for novel interaction methods and approaches.

This Special Issue is dedicated to disseminating high-quality, original research papers, works in progress, surveys, reviews, and opinion pieces on research related to human-computer interaction, covering the following topics (among others):

  • Human-computer interaction theory;
  • Multimodal interaction;
  • Natural language interaction;
  • Intelligent user interfaces;
  • User-centered design;
  • Usability and user experience;
  • IoT for human-computer interaction;
  • Mobile computing;
  • Mobile application design and development;
  • Virtual reality;
  • Augmented reality;
  • Mixed reality;
  • Interaction and humans in the Internet of Things;
  • Hardware for human-computer interaction;
  • Interaction metaphors;
  • Human factors;
  • Human-robot interaction;
  • Human factors.

Dr. Jeannie Lee
Dr. Qi Cao
Dr. Kan Chen
Guest Editors

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Keywords

  • human-computer interaction
  • human-robot interaction
  • interaction design
  • virtual reality
  • artificial intelligence

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Published Papers (1 paper)

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Research

20 pages, 507 KiB  
Article
The Impact of Self-Service Technologies on Cinemagoing Experiences: A Hungarian Case Study
by Judit Szűcs and Tibor Guzsvinecz
Electronics 2024, 13(20), 4035; https://doi.org/10.3390/electronics13204035 - 14 Oct 2024
Viewed by 1040
Abstract
This study investigates the relationship between self-service technologies (SSTs) and cinemagoing experiences. An online questionnaire was created and filled out by 202 respondents to assess their preferences regarding SSTs in Hungarian cinemas. The analysis was conducted in R based on the following factors: [...] Read more.
This study investigates the relationship between self-service technologies (SSTs) and cinemagoing experiences. An online questionnaire was created and filled out by 202 respondents to assess their preferences regarding SSTs in Hungarian cinemas. The analysis was conducted in R based on the following factors: gender, age, place of residence, and cinema attendance frequency. The results showed that 78.43% of males and 79.47% of females preferred hybrid systems combining both human staff and SSTs. There was no significant relationship between gender and SST preference. However, respondents aged 26–35 years and those over 50 years were less likely to prefer SSTs. In addition, people who live in capital cities showed a higher likelihood of preferring SSTs. Despite minor demographic differences, the overall results indicate a strong preference for SSTs across all groups. Predictions using ordinal logistic regression suggest that future cinemagoers will continue to prefer SSTs, with probabilities ranging from 65.58% to 75.90%. These results can help in understanding the growing acceptance of SSTs in cinemas and suggest that their implementation could be well-received by future audiences. Full article
(This article belongs to the Special Issue Human-Computer Interaction Techniques and Applications)
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