Managing Human Factors: An Innovative Frameworks for Human-Robot Collaboration: Insights into Interaction Modalities Causing Workload

This study examines interaction modalities' impact on workload in human-robot collaboration within Industry 5.0.Using a framework inspired by Wickens' Multiple Resource Theory, it highlights the negative impact of linguistic tasks and the positive effects of tactile feedback on workload.Input-assist interactions, particularly in visual-spatial contexts, show potential for optimization, while autonomy and environmental factors like robot size and speed further influence workload.The findings suggest practical strategies for enhancing collaboration and call for exploring underutilized modalities and complementary metrics to improve workload assessments in future research.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p6794-cd
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Managing Human Factors: An Innovative Frameworks for Human-Robot Collaboration: Insights into Interaction Modalities Causing Workload

Guido J.L. Micheli, Gaia Vitrano, Xiranai Dai, Chiara Maria Leva
Human-Automation Interaction and Safety
article

Managing Human Factors: An Innovative Frameworks for Human-Robot Collaboration: Insights into Interaction Modalities Causing Workload

Guido J.L. Micheli, Gaia Vitrano, Xiranai Dai, Chiara Maria Leva
article en

Abstract

This study examines interaction modalities' impact on workload in human-robot collaboration within Industry 5.0.Using a framework inspired by Wickens' Multiple Resource Theory, it highlights the negative impact of linguistic tasks and the positive effects of tactile feedback on workload.Input-assist interactions, particularly in visual-spatial contexts, show potential for optimization, while autonomy and environmental factors like robot size and speed further influence workload.The findings suggest practical strategies for enhancing collaboration and call for exploring underutilized modalities and complementary metrics to improve workload assessments in future research.

Openalex Percentile: Top 67%
Human-Automation Interaction and Safety
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