Geting to know Pepper Efects of people’s awareness of a robot’s capabilities on their trust in the robot Alessandra Rossi Adaptive Systems Research Group, University of Hertfordshire Hatfeld, UK a.rossi@herts.ac.uk Patrick Holthaus Adaptive Systems Research Group, University of Hertfordshire Hatfeld, UK p.holthaus@herts.ac.uk Kerstin Dautenhahn Departments of Electrical and Computer Engineering/Systems, University of Waterloo Waterloo, Ontario, Canada Adaptive Systems Research Group, University of Hertfordshire Hatfeld, UK kerstin.dautenhahn@uwaterloo.ca Kheng Lee Koay Adaptive Systems Research Group, University of Hertfordshire Hatfeld, UK k.l.koay@herts.ac.uk Michael L. Walters Adaptive Systems Research Group, University of Hertfordshire Hatfeld, UK m.l.walters@herts.ac.uk ABSTRACT This work investigates how human awareness about a social robot’s capabilities is related to trusting this robot to handle diferent tasks. We present a user study that relates knowledge on diferent quality levels to participant’s ratings of trust. Secondary school pupils were asked to rate their trust in the robot after three types of exposures: a video demonstration, a live interaction, and a programming task. The study revealed that the pupils’ trust is positively afected across diferent domains after each session, indicating that human users trust a robot more the more awareness about the robot they have. CCS CONCEPTS · Computer systems organization → Robotics; · Computing methodologies → Cognitive robotics; · Human-centered com- puting → User studies; KEYWORDS Human-Robot Interaction, Trust in robots, HRI awareness, Social robotics, UK robotics week ACM Reference Format: Alessandra Rossi, Patrick Holthaus, Kerstin Dautenhahn, Kheng Lee Koay, and Michael L. Walters. 2018. Getting to know Pepper: Efects of people’s awareness of a robot’s capabilities on their trust in the robot. In 6th Interna- tional Conference on Human-Agent Interaction (HAI ’18), December 15ś18, 2018, Southampton, United Kingdom. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3284432.3284464 Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for proft or commercial advantage and that copies bear this notice and the full citation on the frst page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specifc permission and/or a fee. Request permissions from permissions@acm.org. HAI ’18, December 15ś18, 2018, Southampton, United Kingdom © 2018 Association for Computing Machinery. ACM ISBN 978-1-4503-5953-5/18/12. . . $15.00 https://doi.org/10.1145/3284432.3284464 1 INTRODUCTION Trust is widely assumed to be one of the key factors in human users’ acceptance of social robots in human-centred environments [24]. However, a human user’s awareness of the robot’s skills also has signifcant efects on the interaction quality [1]. This work hence investigates how human trust in a social robot is afected by their interaction history and the human’s knowledge about the robot’s capabilities and limitations. Trust between humans is constructed from a perception of ability, benevolence and integrity [25]. In Human Computer Interaction, Muir and Moray [26] showed that people’s trust in a machine was strongly afected by the machine’s good performance. Indeed, trust is a key factor in the acceptance of an autonomous robot as a peer, assistant or companion in human-centred environments. It can determine humans’ perception of the usefulness of imparted information and capabilities of a robot [18, 31, 32]. Human awareness of a social robot’s skills can be gained through robot appearance and behaviours including their common interac- tion history [19]. Typically, people naive to social robots in terms of real world encounters, already have certain expectations on their functionalities based on fctional movies and stories. In real- ity though, there is a signifcant gap between the current state of robotics research and science fction [20], and sometimes even ad- vertisements for real robots that make use of artifcial intelligence 1 . As a consequence, negative efects on the interaction quality have to be considered when violating the user’s expectations on the robot [23]. Within this paper, we investigate the relationship between hu- man users’ expectations of the robot and the quality of a Human- Robot Interaction (HRI). Particularly, we analyse the impact of repeated interactions that reveal diferent aspects of the robot’s capabilities step-by-step on the users’ trust ratings of the robot. With this approach, we gain insights on how human awareness of the robot afects their trust in it. 1 https://www.youtube.com/watch?v=SSecbMFQK1I