Laban, G. , Kappas, A., Morrison, V. and Cross, E. S. (2022) User Experience of Human-Robot Long-Term Interactions. In: 10th International Conference on Human-Agent Interaction (HAI '22), Christchurch, New Zealand, 05-08 Dec 2022, pp. 287-289. ISBN 9781450393232 (doi: 10.1145/3527188.3563927)
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Abstract
Since interactions with social robots are novel and exciting for many people, one particular concern in this specific area of human-robot interaction (HRI) is the extent to which human users will experience the interactions positively over time, when the robot’s novelty is particularly salient. In the current paper, we investigated users’ experience in long-term HRIs; how users perceive the ongoing interactions and the robot’s ability to sustain it over time. Therefore, here we examine the effect of the repeated measures (10 testing sessions) and the discussion theme (Covid-19 related vs general) on the way participants experienced the interaction quality with a social robot and perceived the robot’s communication competency over time. We found that despite individual differences between the participants, over time participants found the interactions with Pepper to be of higher quality and that Pepper’s communication skills got better. Nevertheless, our results also stressed that the discussion theme has no meaningful nor significant effect on the way people perceive Pepper and the interaction.
Item Type: | Conference Proceedings |
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Keywords: | Communication, HRI, user experience, communication competency, human-robot interaction, long-term interactions, social robot, interaction quality, self-disclosure. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Laban, Mr Guy and Cross, Professor Emily |
Authors: | Laban, G., Kappas, A., Morrison, V., and Cross, E. S. |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Research Group: | Social Brain in Action |
Publisher: | Association for Computing Machinery |
ISBN: | 9781450393232 |
Copyright Holders: | Copyright © 2022 The Authors |
First Published: | First published in Proceedings of the 10th International Conference on Human-Agent Interaction (HAI '22): 287-289 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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