IEEE SMC: Systems, Man, & Cybernetics Society

Trending Research

May 2025

THE QUEST TO ENSURE NONSPEAKING AUTISTIC PEOPLE ARE HEARD

The HoloBoard augmented-reality system lets people type independently.

JEREMY IS A 31-year-old autistic man who loves music and biking. He’s highly sensitive to lights, sounds, and textures, has difficulty initiating movement, and can say only a few words. Throughout his schooling, it was assumed he was incapable of learning to read and write. But for the past 30 minutes, he’s been wearing an augmented-reality (AR) headset and spelling single words on the HoloBoard, a virtual keyboard that hovers in the air in front of him. And now, at the end of a study session, a researcher asks Jeremy (not his real name) what he thought of the experience. More.

High Schoolers’ AI-Enabled Device Deters Drunk Driving

SoberRide uses a combination of cameras, sensors, and machine-learning algorithms to detect signs of alcohol impairment in the driver—such as pupil dilation, bloodshot eyes, and the presence of ethanol used in alcoholic beverages—before allowing a vehicle to be put into drive. More

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Latest Publications

18 June 2025
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17 June 2025
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17 June 2025
IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors
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17 June 2025
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17 June 2025
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27 December 2024
Human-Following Control Method Based on Adaptive Recurrent PID Controller With Self-Tuning Filter
The research on human-following robot is important for practical applications. It is a hot field of human–machine technology. This article proposes an adaptive recurrent proportional integral differential (PID) control algorithm with self-tuning filter based on vision to address the issue of insufficient recognition accuracy of specific following targets in the...
27 December 2024
Cognitive Load-Based Affective Workload Allocation for Multihuman Multirobot Teams
The interaction and collaboration between humans and multiple robots represent a novel field of research known as human multirobot systems. Adequately designed systems within this field allow teams composed of both humans and robots to work together effectively on tasks, such as monitoring, exploration, and search and rescue operations. This...
19 December 2024
Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing Task
This article proposes a shared control system model between the human pilot and autopilot for the special issue of carrier-based aircraft landing task. A key point of the shared and cooperative control is that the decision-sharing system depends on the longitudinal safety boundaries for manual/automatic landing. Two strategies of the...
11 December 2024
Fatigue Assessment and Control With Lower Limb Exoskeletons
Acknowledging the vital importance of fatigue management for improving rehabilitation results, customizing treatment, safeguarding patient well-being, and enhancing the quality of life of hemiplegic patients, this study presents the development of a tailored fatigue model and a corresponding human-in-the-loop (HiL) control system for exoskeleton-assisted walking. For this, the selected three-compartment...
04 December 2024
A Game-Theoretic Model of Trust in Human–Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior
In scenarios involving robots generating and executing plans, conflicts can arise between cost-effective robot execution and meeting human expectations for safe behavior. When humans supervise robots, their accountability increases, especially when robot behavior deviates from expectations. To address this, robots may choose a highly constrained plan when monitored and a...

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10 January 2025
FingHV: Efficient Sharing and Fine-Grained Scheduling of Virtualized HPU Resources
While artificial intelligence (AI) technology has advanced in real-world applications, there is a strong motivation to develop hybrid systems where AI algorithms and humans collaborate, promoting more human-centered approaches in AI system design. This has led to the emergence of a novel human-machine computing (HMC) paradigm, which combines human cognitive...
19 June 2023
Novel LKF Method on H∞ Synchronization of Switched Time-Delay Systems
This article investigates $H_{infty }$ global asymptotic synchronization (GAS) of switched nonlinear systems with delay. By introducing mode-dependent double event-triggering mechanisms (DETMs), the communication resources in both system–controller (S-C) channel and controller–actuator (C-A) channel are saved as much as possible. By designing a new multiple Lyapunov–Krasovskii functional (LKF) with time-varying...
18 June 2023
Cooperative Game-Based Approximate Optimal Control of Modular Robot Manipulators for Human–Robot Collaboration
Major challenges of controlling human–robot collaboration (HRC)-oriented modular robot manipulators (MRMs) include the estimation of human motion intention while cooperating with a robot and performance optimization. This article proposes a cooperative game-based approximate optimal control method of MRMs for HRC tasks. A harmonic drive compliance model-based human motion intention estimation...
16 June 2023
Modeling Based on a Two-Step Parameter Identification Strategy for Liquid Crystal Elastomer Actuator Considering Dynamic Phase Transition Process
Liquid crystal elastomer (LCE) is a promising candidate for actuation in light-driven soft robot applications. Due to the fact that LCE has complex hysteretic nonlinearities, which are highly dependent on the environment, modeling of actuators made of LCE is a very challenging issue. In this article, a model is proposed...
20 May 2023
Robust Adaptive Fault-Tolerant Control for a Riser-Vessel System With Input Hysteresis and Time-Varying Output Constraints
Recently, with the development of the marine economy, marine risers have garnered increasing attention as they present facile and reliable methods for oil and gas transportation. However, these risers are susceptible to vibrations, which can lead to system performance degradation and fatigue damage. Therefore, effective vibration control strategies are required...

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12 November 2024
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data
The multivariate Hawkes process (MHP) is widely used for analyzing data streams that interact with each other, where events generate new events within their own dimension (via self-excitation) or across different dimensions (via cross excitation). However, in certain applications, the timestamps of individual events in some dimensions are unobservable, and...
11 November 2024
On Evolutionary Analysis of Customer Purchasing Behavior by the Supervision of E-Commerce Platforms
As Internet technology undergoes rapid development and widespread adoption, e-commerce emerges as a pivotal component of the platform economy, permeating various facets of daily life. However, due to the influence of time, space, and other factors, the problem of integrity becomes severe in the real trading environment. As the platforms,...
11 November 2024
Review of Advancements in Depression Detection Using Social Media Data
A large population embraced social media to share thoughts, emotions, and daily experiences through text, images, audio, or video posts. This user-generated content (UGC) serves various purposes, including user profiling, sentiment analysis, and disease detection or tracking. Notably, researchers recognized the potential of UGC for assessing mental health due to...
08 November 2024
A Classification-Based Product Selection Method Based on Online Reviews on Multifaceted Attributes
While the development of e-commerce brings convenience to consumers, a large quantity of products and information increase the difficulty of making purchase decisions. This study constructs a classification-based product selection method driven by online reviews to assist consumers in making purchase decisions. First, the multifaceted attribute evaluations of products are...
08 November 2024
Effective Analysis of Machine and Deep Learning Methods for Diagnosing Mental Health Using Social Media Conversations
The increasing incidence of mental health issues demands innovative diagnostic methods, especially within digital communication. Traditional assessments are challenged by the sheer volume of data and the nuanced language found on social media and other text-based platforms. This study seeks to apply machine learning (ML) to interpret these digital narratives...

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Article of the Month

  • eNewsletter of the IEEE SMC Society, Issue 85, June 2025

    Summary of the Latest Issue of the eNewsletter of the IEEE SMC Society, Issue 85, June 2025 Editorial Welcome from the EiC Featured Article Multi-Agent Systems Meet Large Language Models: Architectures, Synergies, and Future Directions by Qimeng Li, Raffaele Gravina, Giancarlo Fortino Academic Corner Meet SMC Member Yaoping Hu Meet SMC Member Antonio Guerrieri Industry...

eNewsletter

  • eNewsletter of the IEEE SMC Society, Issue 85, June 2025

    Summary of the Latest Issue of the eNewsletter of the IEEE SMC Society, Issue 85, June 2025 Editorial Welcome from the EiC Featured Article Multi-Agent Systems Meet Large Language Models: Architectures, Synergies, and Future Directions by Qimeng Li, Raffaele Gravina, Giancarlo Fortino Academic Corner Meet SMC Member Yaoping Hu Meet SMC Member Antonio Guerrieri Industry...

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  • eNewsletter of the IEEE SMC Society, Issue 84, March 2025

    Summary of the Latest Issue of the eNewsletter of the IEEE SMC Society, Issue 84, March 2025 Editorial Welcome from the EiC Meet our Associate Editors for 2025 Featured Article LLMs Promote Commercial Aerospace Technology Towards Innovation Intelligence, by Wenjie Li and Lei Chen Academic Corner Meet SMC Member Laura Giarrè Meet SMC Member David...

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  • eNewsletter of the IEEE SMC Society, Issue 83, December 2024

    Summary of the Latest Issue of the eNewsletter of the IEEE SMC Society, Issue 83, December 2024 Editorial Welcome from the EiC Featured Article E-CARGO/RBC: Enabling Interdisciplinary Innovations in the Era of AI, written by Haibin Zhu Academic Corner Meet SMC Member Prof. Domenico Lofù Meet SMC Member Prof. Sarah Power Student Corner Interview with...

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