Two are not always better than one: Role specialization is an important determinant of collaborative task performance
Asuka Takai, Qiushi Fu, Yuzuru Doibata, Giuseppe Lisi, Toshiki, Tsuchiya, Keivan Mojtahedi, Toshinori Yoshioka, Mitsuo Kawato, Jun Morimoto,, Marco Santello

TL;DR
This study investigates how role specialization affects collaborative task performance, revealing that collaboration outperforms solo efforts only when participants adopt distinct roles, especially in asymmetric task contexts.
Contribution
It demonstrates that role differentiation in dyadic collaboration enhances performance, highlighting the importance of task context and role specialization.
Findings
Dyads outperform solos in asymmetric contexts.
Solo performance is better in symmetric contexts.
Role differentiation emerges in asymmetric tasks.
Abstract
Collaboration frequently yields better results in decision making, learning, and haptic interactions than when these actions are performed individually. However, is collaboration always superior to solo actions, or do its benefits depend on whether collaborating individuals have different or the same roles? To answer this question, we asked human subjects to perform virtual-reality collaborative and individual beam transportation tasks. These tasks were simulated in real-time by coupling the motion of a pair of hand-held robotic manipulanda to the virtual beam using virtual spring-dampers. For the task to be considered successful, participants had to complete it within temporal and spatial constraints. While the visual feedback remained the same, the underlying dynamics of the beam were altered to create two distinctive task contexts which were determined by a moving pivot constraint.…
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Taxonomy
TopicsMotor Control and Adaptation · Action Observation and Synchronization · Virtual Reality Applications and Impacts
