Sirithunge Chapa, Jayasekara A G Buddhika P, Chandima D P
Intelligent Service Robotics Group, Department of Electrical Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Appl Bionics Biomech. 2021 Feb 22;2021:3648479. doi: 10.1155/2021/3648479. eCollection 2021.
To generate context-aware behaviors in robots, robots are required to have a careful evaluation of its encounters with humans. Unwrapping emotional hints in observable cues in an encounter will improve a robot's etiquettes in a social encounter. This article presents an extended human study conducted to examine how several factors in an encounter influence a person's preferences upon an interaction at a particular moment. We analyzed the nature of conversation preferred by a user considering the type of conversation a robot could have with its user, having the interaction initiated by the robot itself. We took an effort to explore how such preferences differ as the factors present in the surrounding alter. A social robot equipped with the capability to initiate a conversation is deployed to conduct the study by means of a wizard-of-oz (WoZ) experiment. During this study, conversational preferences of users could vary from "no interaction at all" to a "long conversation." We changed three factors in an encounter which can be different from each other in each circumstance: the audience or outsiders in the environment, user's task, and the domestic area in which the interaction takes place. Conversational preferences of users within the abovementioned conditions were analyzed in a later stage, and critical observations are highlighted. Finally, implications that could be helpful in shaping future social human-robot encounters were derived from the analysis of the results.
为了使机器人产生情境感知行为,要求机器人仔细评估其与人类的接触。在一次接触中解读可观察线索中的情感暗示,将提升机器人在社交接触中的礼仪。本文介绍了一项扩展的人类研究,旨在考察一次接触中的若干因素如何影响一个人在特定时刻对互动的偏好。我们分析了用户偏好的对话性质,同时考虑了机器人与其用户可能进行的对话类型,且互动由机器人自身发起。我们努力探究随着周围环境因素的变化,这些偏好会如何不同。通过一项基于 Wizard-of-oz(WoZ)实验,部署了一个具备发起对话能力的社交机器人来进行这项研究。在这项研究中,用户的对话偏好可能从“完全不互动”到“长时间对话”不等。我们改变了一次接触中的三个因素,在每种情况下这三个因素可能各不相同:环境中的观众或外人、用户的任务以及互动发生的家庭区域。在后期分析了上述条件下用户的对话偏好,并突出了关键观察结果。最后,从结果分析中得出了有助于塑造未来社交人机接触的启示。