Using Speech to Reduce Loss of Trust in Humanoid Social Robots

Autor:	Krantz, Amandus, Balkenius, Christian, Johansson, Birger
Rok vydání:	2022
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	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. Comment: in SCRITA Workshop Proceedings (arXiv:2208.11090) held in conjunction with 31st IEEE International Conference on Robot & Human Interactive Communication, 29/08 - 02/09 2022, Naples (Italy)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2208.13688 Zobrazit plný text záznamu View this record from Arxiv