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Universal Design and Human–Computer Interaction in AI and Aged Society

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 534

Special Issue Editor


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Guest Editor
Department of Industrial & Management Engineering, Hansung University, Seoul 02876, Republic of Korea
Interests: occupational safety and health; human factors and ergonomics; user-centered design; universal safety and design; safety and health management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern industrial society is aging, and all generations, including the elderly, must be considered comfortably and comprehensively. The application of AI technology should address their needs and enhance their convenience. Consumers' physical and cognitive characteristics are becoming increasingly diverse, and universal design is dedicated to addressing this diversity. Human–computer interaction examines the relationships between humans and technology, including computers, robots, environments, and systems. This Special Issue focuses on research related to universal design and human–computer interaction, exploring how digital and AI technologies can incorporate human characteristics into manufacturing and service processes. The goal is to enhance efficiency, flexibility, and customization across various consumer segments, including the elderly.

This Special Issue welcomes the submission of original works, reviews, and short communications, with topics including the following:

  • UI/UX design and universal design;
  • Computing and AI (artificial intelligence) in human-centered design;
  • Human–computer interaction and social robotics;
  • Behavioral, physiological, and micro- and macroergonomics;
  • Work-related injuries and illnesses in the era of an aged society;
  • State-of-the-art reviews that cover all aspects of universal design and HCI.

Prof. Dr. Byung Yong Jeong
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.

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. Applied Sciences 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-centered design
  • human–computer interaction
  • user experience and universal design
  • work-related safety and health
  • social robotics and human–robot interaction
  • universal design in computing and artificial intelligence

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Published Papers (1 paper)

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Research

15 pages, 968 KiB  
Article
Comparison of Exposure Time to Hazards Between Pain Complainants and Non-Complainants Among Food Manufacturing Production Workers, and Factors Influencing Musculoskeletal Pain
by Jun Won Kim, Dong Kyung Lee and Byung Yong Jeong
Appl. Sci. 2025, 15(8), 4366; https://doi.org/10.3390/app15084366 - 15 Apr 2025
Viewed by 342
Abstract
This study examines the hazards faced by food manufacturing workers during their daily work hours and compares the exposure time between pain complainants and non-complainants. Also, this study identifies key factors influencing musculoskeletal pain. This study selected 552 food manufacturing workers and compared [...] Read more.
This study examines the hazards faced by food manufacturing workers during their daily work hours and compares the exposure time between pain complainants and non-complainants. Also, this study identifies key factors influencing musculoskeletal pain. This study selected 552 food manufacturing workers and compared the exposure time to hazards between groups using t-tests. Additionally, this study conducted a logistic regression analysis to identify factors contributing to musculoskeletal pain, considering worker-related factors (gender, age, work experience, working hours per week, occupation, and industry type) and hazard exposure levels (physical, biochemical, and ergonomic hazards) as independent variables. The results of the exposure time analysis for hazards indicated that workers were most exposed to standing or repetitive movements, followed by awkward postures, handling heavy loads, and vibration. The mean comparison test of hazard exposure time between groups revealed that workers with musculoskeletal pain exhibited the greatest difference in low-temperature exposure time compared to workers without pain, followed by awkward postures and handling heavy loads. Logistic regression analysis showed that musculoskeletal pain increases with years of work experience and exposure time to handling heavy loads. In addition, females were more likely to complain of pain in the upper and lower limbs than males, and older workers were more likely to complain of back pain. Meanwhile, vibration exposure time increased the likelihood of upper limb pain, and low-temperature exposure time increased the likelihood of lower limb pain. The analysis of factors affecting musculoskeletal pain among food manufacturing workers showed that improvements are needed to focus on a universal design that considers female and older workers. Furthermore, this study’s results can help prioritize improvements and provide baseline data for developing tailored strategies and preventive measures. Full article
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