Document Type

Conference Proceeding

Publication Date

7-17-2025

Publisher

Association for Computing Machinery

Abstract

As Human Robot Collaboration (HRC) technologies continue to advance, robots are increasingly being deployed to assist in various settings, including manufacturing, healthcare, and home environments. A critical aspect of designing safe and adaptable HRC systems is the ability to assess and monitor an individual’s Cognitive Fatigue (CF) during interactions with robots. This is especially important in ensuring safe and effective environments, as fluctuations in CF can affect both performance and safety. Although prior research has explored cognitive workload and fatigue, a significant gap exists in understanding how to effectively measure and manage CF in real-time during HRC. This paper reviews current technologies for CF assessment in HRC systems, examining self-reported assessments, cognitive activity induction, physiological sensors, and behavioral analysis. Furthermore, it investigates the safety and effectiveness of assistive robots in supporting individuals with Activities of Daily Living (ADL), highlighting key challenges in detecting and responding to CF. This paper can potentially guide future research on developing robotics for long-term care that focuses on enhancing human well-being and autonomy within HRC systems.

Comments

Open access to this article is funded by Santa Clara University Library.

This work is licensed under Creative Commons Attribution International 4.0.

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