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Advances in Human–Machine Systems, Human–Machine Interfaces and Human Wearable Device Performance, 2nd Edition

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

Deadline for manuscript submissions: 20 June 2026

Special Issue Editors


E-Mail Website
Guest Editor
Department of Industrial Management, Chung Hua University, Hsinchu, Taiwan
Interests: drone ergonomics; human–virtual object interactions; physical ergonomics; human movement science
Department of Engineering and Management, Nanjing Agricultural University, Nanjing 210095, China
Interests: human–machine interactions; safety and health at work; physical work assessments
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The human–machine system (HMS), wherein the functions of humans and machines are integrated, is one of the core issues in human-factor engineering and ergonomics. Its function and performance depend on human capability, the function of the machine and how the system is integrated. HMSs exist wherever people are using or operating something, ranging from using a screwdriver to navigating a commercial jet or cargo vessel. The human–machine interface (HMI), on the other hand, emphasizes the interactions of humans and machines. The communication between humans and machines via displays and control devices is a common HMI issue that includes the design and layout of control devices, they ways in which humans interact with the input devices, and human responses to the outputs of machines or devices. For this Special Issue, we welcome submissions related to HMSs and HMIs, functional allocations of humans and machines, and methods of system integration. We especially welcome submissions focusing on the design and layout of machine or system control panels (such as in a nuclear power plant control room), the human usage of wearable devices (such as augmented or virtual reality, extraskeletons, and special-purpose sensors), the operation of manned and unmanned vehicles (automobiles, vessels, aircrafts, robots, etc.); human material-handling aid interactions (such as carts, trolleys, and forklifts), and the environmental implications of human–machine systems.

Prof. Dr. Kaiwei Li
Dr. Lu Peng
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 250 words) can be sent to the Editorial Office for assessment.

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–machine system
  • human–machine interface
  • human–computer interactions
  • wearable devices
  • manned and unmanned system operation
  • augmented reality
  • virtual reality
  • control room and control panel design and assessment
  • transportation safety
  • human–robot interactions
  • extraskeletons
  • mental workload
  • vigilance

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