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Title:
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EMPHASIZING HUMANS IN INDUSTRY 5.0: A CROSS-AGE ANALYSIS OF BEHAVIORAL ENTROPY AND COGNITIVE WORKLOAD IN VR-BASED TELEROBOTICS |
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Author(s):
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Federica Nenna, Davide Zanardi and Luciano Gamberini |
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ISBN:
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978-989-8704-49-8 |
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Editors:
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Katherine Blashki, Yingcai Xiao, Piet Kommers and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Behavioral Entropy, Virtual Reality, Workload, Industrial Robotics, Entropy of Controller Movements |
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Type:
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Full |
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First Page:
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80 |
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Last Page:
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88 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Human motion patterns have been shown to reflect cognitive processes in psychology and applied Human-Computer Interaction (HCI) research. Specifically, behavioral entropy of users' movement trajectories has been proposed to consistently reflect workload and fatigue in various scenarios, including Virtual Reality (VR). In VR, this measure is typically calculated based on the movements of the VR controllers, known as Entropy of Controller Movements (ECM). While having great potential as a highly sensitive and unobtrusive measure of human workload, the effectiveness of ECM in more applied and realistic instances of VR-based applications (e.g., teleoperation platforms) has not been proven yet. Furthermore, the existing literature is based on young experimental samples, living open the question of whether age-related changes in motor performance might prevent using ECM as a measure of workload. We here covered these aspects by assessing relations between workload and ECM in 15 young and 15 senior participants who physically maneuvered an industrial robot in VR. Specifically, they were asked to guide the robot through a pick-and-place task by using their own physical movements in VR. Our findings evidence some criticalities of ECM as a measure of workload in our VR-based industrial contexts, opening new questions on its applicability and effectiveness. |
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