TY - JOUR A1 - Perugia, Giulia A1 - Paetzel-Prüsmann, Maike A1 - Alanenpää, Madelene A1 - Castellano, Ginevra T1 - I can see it in your eyes T2 - Frontiers in robotics and AI N2 - Over the past years, extensive research has been dedicated to developing robust platforms and data-driven dialog models to support long-term human-robot interactions. However, little is known about how people's perception of robots and engagement with them develop over time and how these can be accurately assessed through implicit and continuous measurement techniques. In this paper, we explore this by involving participants in three interaction sessions with multiple days of zero exposure in between. Each session consists of a joint task with a robot as well as two short social chats with it before and after the task. We measure participants' gaze patterns with a wearable eye-tracker and gauge their perception of the robot and engagement with it and the joint task using questionnaires. Results disclose that aversion of gaze in a social chat is an indicator of a robot's uncanniness and that the more people gaze at the robot in a joint task, the worse they perform. In contrast with most HRI literature, our results show that gaze toward an object of shared attention, rather than gaze toward a robotic partner, is the most meaningful predictor of engagement in a joint task. Furthermore, the analyses of gaze patterns in repeated interactions disclose that people's mutual gaze in a social chat develops congruently with their perceptions of the robot over time. These are key findings for the HRI community as they entail that gaze behavior can be used as an implicit measure of people's perception of robots in a social chat and of their engagement and task performance in a joint task. KW - perception of robots KW - long-term interaction KW - mutual gaze KW - engagement KW - uncanny valley Y1 - 2021 UR - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/60286 SN - 2296-9144 VL - 8 PB - Frontiers Media CY - Lausanne ER -