University of Hertfordshire

By the same authors

How a Robot's Social Credibility Affects Safety Performance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication11th International Conference, ICSR 2019
EditorsMiguel A. Salichs, Shuzhi Sam Ge, Emilia Ivanova Barakova, John-John Cabibihan, Alan R. Wagner, Álvaro Castro-González, Hongsheng He
PublisherSpringer
Pages740-749
Number of pages10
ISBN (Print)9783030358877
DOIs
Publication statusPublished - 17 Nov 2019
EventThe Eleventh International Conference on Social Robotics - Madrid, Spain
Duration: 26 Nov 201929 Nov 2019
Conference number: 11
http://icsr2019.uc3m.es/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11876 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThe Eleventh International Conference on Social Robotics
Abbreviated titleICSR 2019
CountrySpain
CityMadrid
Period26/11/1929/11/19
Internet address

Abstract

This paper connects the two domains of Human-Robot Interaction (HRI) and safety engineering to ensure that the design of interactive robots considers the effect of social behaviours on safety functionality. We conducted a preliminary user study with a social robot that alerts participants during a puzzle-solving task to a safety hazard. Our study findings show an indicative trend where users who were interrupted by a socially credible robot were more likely to act to mitigate the hazard than users interrupted by a robot lacking social credibility.

Notes

© Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of a conference paper published in: Social Robotics: 11th International Conference, ICSR 2019, Madrid, Spain, November 26–29, 2019. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-35888-4_69.

Projects

ID: 17256550