IEEE SMC: Systems, Man, & Cybernetics Society

Transactions on Human Machine Systems

Scope

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.

English language editing services can help refine the language of your article and reduce the risk of rejection without review. IEEE authors are eligible for a 10% discount at American Journal Experts; visit https://www.aje.com/go/ieee/ to learn more. Please note these services are fee-based and do not guarantee acceptance.

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.

2024: New Impact Factor = 4.4

Editor-in-Chief

Ljiljana Trajkovic
Ljiljana Trajkovic
Editor-In-Chief
Professor
School of Engineering Science
Simon Fraser University
8888 University Drive
Burnaby, BC V5A 1S6
Canada
Tel.: 1.604.519.1776
1.604.345.7705 (mobile)
Email Ljiljana Trajkovic

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Articles

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04 March 2026
Workload Does Not Work: On the Many Problems of the NASA-TLX
The NASA-Task Load Index (TLX) and its variants are the most widely used measures of mental workload. However, an increasing body of literature suggests that there are critical problems with this measure. This includes confusing elements of its design that may bias human response or result in administrator error, inconsistent...
04 March 2026
Multimode Assist-As-Needed Adaptive Control for Upper Limb Rehabilitation Exoskeleton
Assist-as-needed (AAN) control for upper-limb rehabilitation exoskeletons is crucial for promoting active patient participation and facilitating neuroplasticity after a stroke. However, a significant challenge lies in designing controllers that can both seamlessly switch assistance levels in response to a patient's fluctuating ability and rigorously enforce safety-critical position constraints across different...
01 January 2026
An HCAI Methodological Framework: Putting it Into Action to Enable Human-Centered AI
Human-centered artificial intelligence (HCAI) is a design philosophy that prioritizes humans in the design, development, deployment, and use of AI systems, aiming to maximize AI’s benefits while mitigating its negative impacts. Despite its growing prominence in literature, the lack of methodological guidance for its implementation poses challenges to HCAI practice....
01 January 2026
P3-FSLNet: A Compact Spatio-Temporal Model With Contrastive Few-Shot Learning for Subject-Independent P300 Detection in Devanagari Script-Based P300 Speller
Brain–computer interface (BCI) systems frequently necessitate time-intensive subject-specific calibration, thereby motivating the development of subject-independent P300 detection approaches. Existing methodologies that employ transfer learning and knowledge distillation encounter challenges with limited generalizability due to substantial intersubject variability and constrained data availability. Furthermore, their applicability is often questioned, as most lack...
22 December 2025
Nonauditory Schemes for Universal Information Access: Translating Braille into Vibrotactile Cues for the Blind
Despite the progress in human–computer interaction technology, the interaction methods that visually impaired individuals possess are still rudimentary. The widely used Text-to-Speech technology has issues such as privacy leaks in practical applications, and most of the new interaction designs proposed in recent years have limited application scenarios. Geared toward enriching...

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