Social impact of recharging activity in long-term HRI and verbal strategies to manage user expectations during recharge

Deshmukh, A. , Lohan, K. S., Rajendran, G. and Aylett, R. (2018) Social impact of recharging activity in long-term HRI and verbal strategies to manage user expectations during recharge. Frontiers in Robotics and AI, 5, p. 23. (doi: 10.3389/frobt.2018.00023)

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Publisher's URL: https://www.frontiersin.org/article/10.3389/frobt.2018.00023

Abstract

Social robots perform tasks to help humans in their daily activities. However, if they fail to fulfill expectations this may affect their acceptance. This work investigates the service degradation caused by recharging, during which the robot is socially inactive. We describe two studies conducted in an ecologically valid office environment. In the first long-term study (3 weeks), we investigated the service degradation caused by the recharging behavior of a social robot. In the second study, we explored the social strategies used to manage users’ expectations during recharge. Our findings suggest that the use of verbal strategies (transparency, apology, and politeness) can make robots more acceptable to users during recharge.

Item Type:Articles
Additional Information:This work was partially supported by the European Commission (EC) and was funded by the EU FP7 ICT- 215554 project LIREC (Living with Robots and Interactive Companions).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Deshmukh, Dr Amol
Authors: Deshmukh, A., Lohan, K. S., Rajendran, G., and Aylett, R.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Frontiers in Robotics and AI
Publisher:Frontiers Media
ISSN:2296-9144
ISSN (Online):2296-9144
Copyright Holders:Copyright © 2018 Deshmukh, Lohan, Rajendran and Aylett
First Published:First published in Frontiers in Robotics and AI 5:23
Publisher Policy:Reproduced under a Creative Commons License

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