Increased Complexity of a Human-Robot Collaborative Task May Increase the Need for a Socially Competent Robot
Rebeka Kropiv\v{s}ek Leskovar, Tadej Petri\v{c}

TL;DR
This study explores how increased task complexity in human-robot collaboration influences the need for socially competent robots, showing that complex tasks demand more sophisticated and socially aware control models for better acceptance.
Contribution
The paper introduces a novel human-based robot control model that accounts for leader-follower dynamics in complex obstacle avoidance tasks, highlighting the importance of social competence.
Findings
Robot control mimics human behavior to enhance task performance.
Acceptance of the robot decreases as task complexity increases.
Complex tasks require more socially competent control models.
Abstract
An important factor in developing control models for human-robot collaboration is how acceptable they are to their human partners. One such method for creating acceptable control models is to attempt to mimic human-like behaviour in robots so that their actions appear more intuitive to humans. To investigate how task complexity affects human perception and acceptance of their robot partner, we propose a novel human-based robot control model for obstacle avoidance that can account for the leader-follower dynamics that normally occur in human collaboration. The performance and acceptance of the proposed control method were evaluated using an obstacle avoidance scenario in which we compared task performance between individual tasks and collaborative tasks with different leader-follower dynamics roles for the robotic partner. The evaluation results showed that the robot control method is…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Human-Automation Interaction and Safety · Occupational Health and Safety Research
