Robot Gaze Behavior and Proxemics to Coordinate Conversational Roles in Group Interactions

Karen Tatarian, Marine Chamoux, A. Pandey, M. Chetouani
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引用次数: 2

Abstract

With more social robots entering different industries such as educational systems, health-care facilities, and even airports, it is important to tackle problems that may hinder high quality interactions in a wild setting including group conversations. This paper presents an autonomous group conversational role coordinator system based on the proxemics of participants in the group with the robot including their distances and orientations. The system accordingly assigns to the group participants around the robot three different statuses: active, bystander, and overhearer. Once the statuses are estimated, the robot autonomously adjusts its gaze pattern in order to adapt to the group dynamics and attributes its attention in relation to the role the member in the group is playing. This system was evaluated through a pilot study (N=16), in which two participants at a time played a trivia game with the robot and had different roles to play within the interaction. The primary results imply that the participants interacting with a robot having this adaptive gaze behavior based on conversational role coordination are more likely to stand closer to the robot. In addition, the robot was perceived as more adaptable, sociable, and socially present as well as more likely to make the participants feel more attended to.
机器人凝视行为和近距学在群体互动中协调会话角色
随着越来越多的社交机器人进入不同的行业,如教育系统、医疗设施,甚至机场,解决可能阻碍在野外环境(包括群体对话)中进行高质量互动的问题是很重要的。本文提出了一种基于群体参与者与机器人之间的距离和方向关系的自主群体会话角色协调系统。系统相应地给机器人周围的参与者分配了三种不同的状态:主动、旁观者和偷听者。一旦状态被估计,机器人就会自动调整其注视模式以适应群体动态,并将其注意力与群体中成员所扮演的角色联系起来。该系统通过一项试点研究(N=16)进行评估,在该研究中,两名参与者同时与机器人玩一个琐事游戏,并在互动中扮演不同的角色。初步结果表明,与具有这种基于会话角色协调的自适应注视行为的机器人互动的参与者更有可能站得离机器人更近。此外,机器人被认为适应性更强,更善于社交,更有可能让参与者感到更受关注。
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