音声発話によるヒューマノイドソーシャルロボットの信頼低下の緩和
Using Speech to Reduce Loss of Trust in Humanoid Social Robots
ヒューマノイドロボットの故障時でも、発話機能があると信頼の低下をほぼ完全に防げることをオンライン実験で示した研究。
著者: Amandus Krantz, Christian Balkenius, Birger Johansson
分類: cs.RO
原文アブストラクト
We present data from two online human-robot interaction experiments where 227 participants viewed videos of a humanoid robot exhibiting faulty or non-faulty behaviours while either remaining mute or speaking. The participants were asked to evaluate their perception of the robot's trustworthiness, as well as its likeability, animacy, and perceived intelligence. The results show that, while a non-faulty robot achieves the highest trust, an apparently faulty robot that can speak manages to almost completely mitigate the loss of trust that is otherwise seen with faulty behaviour. We theorize that this mitigation is correlated with the increase in perceived intelligence that is also seen when speech is present.