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.

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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.

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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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...
22 December 2025
Speech2Blend: A Hybrid Network for Speech-Driven 3-D Facial Animation by Learning Blendshape
Recent advances in speech-driven facial animation have attracted significant interest across computer graphics, human–computer interaction systems, and immersive virtual reality applications. However, existing methods remain constrained by dependencies on specific reference videos or proprietary face mesh structures, limiting their applicability across diverse production pipelines and reducing compatibility with industry-standard animation...
08 December 2025
Enhancing Terrain Recognition With a Transformer-Based Model: Integrating IMUs for Motion Intent Detection
This study proposes a novel Transformer-based framework for identifying terrain transition states and recognizing steady-state terrains using data from inertial measurement units. Compared to traditional time series classification methods for transition states, our approach reframes the problem as a time series fitting and terrain change-point detection task, capturing the dynamic...

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