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Machines
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Selected Papers from the AHFE International Conference on Human Factors...
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Selected Papers from the AHFE International Conference on Human Factors in Design, Engineering, and Computing

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 2092

Special Issue Editors

Dr. Tareq Ahram

E-Mail Website
Guest Editor
College of Engineering and Computer, University of Central Florida, Orlando, FL 32816, USA
Interests: engineering and technology
Prof. Dr. Waldemar Karwowski

E-Mail Website
Guest Editor
Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: human systems integration; ergonomics and safety; systems engineering; human-computer interaction; fuzzy logic and neuro-fuzzy modeling; complex systems; nonlinear dynamics in human performance; neuroergonomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition) is an international forum for the dissemination and exchange of scientific information on theoretical, generic, and applied areas of human factors and ergonomics. This will be accomplished through the following six modes of communication: keynote presentation, parallel sessions, demonstration and poster sessions, tutorials, exhibitions, and meetings of special interest groups.

It is anticipated that a broad range of research and applied topics will be covered during the conference. Papers in the theoretical category should deal with models, concepts, and structures; papers in the generic category should present research results of broad applicability; and papers in the applied category should show how the demands of particular application areas shape the way generic research is translated into practical innovation.

Suitable topics for this Special Issue include, but are not limited to, the following:

  • Human-centered Design;
  • Computation and Intelligent Design;
  • Augmented, Virtual and Mixed Reality Simulation;
  • Wearable Technologies, Social and Affective Computing;
  • Human–computer Interaction;
  • Training and Learning Sciences;
  • Applications of Technologies in Healthcare and Medicine;
  • Human Technology and Future of Work;
  • Emerging Technologies and Business Applications;
  • Artificial Intelligence and Social Computing;
  • Application of Emerging Technologies;
  • Applications for Interservice and Industry.

Dr. Tareq Ahram
Prof. Dr. Waldemar Karwowski
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. Machines is an international peer-reviewed open access monthly 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

  • intelligent machines
  • human systems
  • medical and healthcare devices

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Published Papers (1 paper)

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Research

15 pages, 5189 KB  
Article
Assembly Complexity Index (ACI) for Modular Robotic Systems: Validation and Conceptual Framework for AR/VR-Assisted Assembly
by Kartikeya Walia and Philip Breedon
Machines 2025, 13(10), 882; https://doi.org/10.3390/machines13100882 - 24 Sep 2025
Viewed by 57
Abstract
The growing adoption of modular robotic systems presents new challenges in ensuring ease of assembly, deployment, and reconfiguration, especially for end-users with varying technical expertise. This study proposes and validates an Assembly Complexity Index (ACI) framework, combining subjective workload (NASA Task Load Index) [...] Read more.
The growing adoption of modular robotic systems presents new challenges in ensuring ease of assembly, deployment, and reconfiguration, especially for end-users with varying technical expertise. This study proposes and validates an Assembly Complexity Index (ACI) framework, combining subjective workload (NASA Task Load Index) and task complexity (Task Complexity Index) into a unified metric to quantify assembly difficulty. Twelve participants performed modular manipulator assembly tasks under supervised and unsupervised conditions, enabling evaluation of learning effects and assembly complexity dynamics. Statistical analyses, including Cronbach’s alpha, correlation studies, and paired t-tests, demonstrated the framework’s internal consistency, sensitivity to user learning, and ability to capture workload-performance trade-offs. Additionally, we propose an augmented reality (AR) and virtual reality (VR) integration workflow to further mitigate assembly complexity, offering real-time guidance and adaptive assistance. The proposed framework not only supports design iteration and operator training but also provides a human-centered evaluation methodology applicable to modular robotics deployment in Industry 4.0 environments. The AR/VR-assisted workflow presented here is proposed as a conceptual extension and will be validated in future work. Full article
(This article belongs to the Special Issue Selected Papers from the AHFE International Conference on Human Factors in Design, Engineering, and Computing)
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