Transactions on Human Machine Systems


The scope of the IEEE Transactions on Human-Machine Systems includes the field of human-machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.

IEEE Transactions on Human-Machine Systems was launched on January 1, 2013 to replace the human-machine systems sections of IEEE Transactions on Systems, Man and Cybernetics.

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Listen to David Kaber’s interview with Rodney Roberts (SMC VP for Systems Science & Engineering) on the current state of THMS, the Journal’s review process, key requirements for submissions, and upcoming special issue information.

2023: New Impact Factor = 3.6


Ljiljana Trajkovic
Ljiljana Trajkovic
School of Engineering Science
Simon Fraser University
8888 University Drive
Burnaby, BC V5A 1S6


06 August 2023
The activities of muscles in the forearm have been widely investigated to develop human interfaces involving hand motions, especially in the fields of prosthetic hands and teleoperation. Although surface electromyography (sEMG) is considered as an effective biological signal from which hand motions can be recognized, the availability and quality of...
01 August 2023
Exoskeletons are wearable robotic devices that surround the anatomy of the user to work in tandem with it. Depending on their structure, exoskeletons can be classified as rigid or flexible. The structure of flexible exoskeletons is made of soft materials, such as fabrics, which adapt to user motion. Therefore, these...
01 August 2023
Automated vehicles may occasionally require drivers to take over. The complexity of the takeover process warrants the design of effective human–machine interfaces that assist drivers in regaining control, especially when the visual and auditory sensory modalities are occupied. Vibrotactile displays, which can represent information about the status, direction, and position...
01 August 2023
The experiment reported in this article provides a first experimental evaluation of human–machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision-making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader–follower approaches by comparing them to newly...
01 August 2023
Providing decision makers with more information is often expected to result in more informed and superior decisions. This is especially true when leveraging artificial intelligence (AI) to explore and find complex patterns in vast amounts of data. Although AI can enable an “information advantage,” truly intelligent systems should buffer scarce...

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