Partner-sourced haptic feedback rather than environmental inputs drives coordination improvement in human dyadic collaboration

TL;DR

This study shows that haptic feedback from a partner, not the environment, improves coordination in collaborative tasks.

Contribution

The study introduces a novel complex task to explore how partner-sourced haptic feedback enhances coordination in dyadic collaboration.

Findings

Partner-sourced haptic feedback significantly improves interpersonal coordination.

Participants naturally adopt leader-follower roles regardless of haptic condition.

Leadership dynamics evolve differently depending on the haptic feedback source.

Abstract

Haptic communication is a critical communication channel in physical collaboration. However, most studies focus on simplistic tasks with predetermined solutions, restricting the exploration of collaborative behaviors. In this study, we designed a complex task derived from the classic ball-beam control problem, requiring pairs of participants to collaboratively control an unstable object with internal degrees of freedom. The task’s redundant nature allowed diverse strategies and collaboration patterns to emerge. We systematically examined the impact of different sources of haptic feedback, distinguishing between forces arising from the collaborator’s actions and forces arising from the task dynamics. Participants collaborated across five haptic feedback conditions: full haptics, partner only, environment only, no haptics, or unrelated haptics. Haptic feedback significantly enhanced interpersonal coordination, primarily via partner-sourced rather than environment-sourced haptic feedback. Despite equal access to information and mechanical leverage, participants naturally assumed leader-follower roles, which were robustly quantified across multiple metrics. We showed how leadership dynamics evolved throughout the experiment and varied across different haptic conditions. This study advances the understanding of haptic communication, highlighting the value of partner haptics in developing more effective and adaptive strategies for both human-human and human-robot collaboration.

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