タスク間の信頼判断におけるロボットの能力と意図
Robot Capability and Intention in Trust-based Decisions across Tasks
人間がロボットにタスクを委任する際、ロボットの能力・意図の推定と全体的信頼がどう統合されるかを被験者実験で調べた研究。
著者: Yaqi Xie, Indu P Bodala, Desmond C. Ong, David Hsu, Harold Soh
分類: cs.HC, cs.AI, cs.RO
原文アブストラクト
In this paper, we present results from a human-subject study designed to explore two facets of human mental models of robots---inferred capability and intention---and their relationship to overall trust and eventual decisions. In particular, we examine delegation situations characterized by uncertainty, and explore how inferred capability and intention are applied across different tasks. We develop an online survey where human participants decide whether to delegate control to a simulated UAV agent. Our study shows that human estimations of robot capability and intent correlate strongly with overall self-reported trust. However, overall trust is not independently sufficient to determine whether a human will decide to trust (delegate) a given task to a robot. Instead, our study reveals that estimations of robot intention, capability, and overall trust are integrated when deciding to delegate. From a broader perspective, these results suggest that calibrating overall trust alone is insufficient; to make correct decisions, humans need (and use) multi-faceted mental models when collaborating with robots across multiple contexts.
