When should a robot apologize? understanding how timing affects human-robot trust repair

Mollik Nayyar, Alan R. Wagner

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

20 Scopus citations

Abstract

If robots are to occupy a space in the human social sphere, then the importance of trust naturally extends to human-robot interactions. Past research has examined human-robot interaction from a number of perspectives, ranging from overtrust in human robot interactions to trust repair. Studies by [15] have suggested a relationship between the success of a trust repair method and the time at which it is employed. Additionally, studies have shown a potentially dangerous tendency in humans to trust robotic systems beyond their operational capacity. It therefore becomes essential to explore the factors that affect trust in greater depth. The study presented in this paper is aimed at building upon previous work to gain insight into the reasons behind the success of trust repair methods and their relation to timing. Our results show that the delayed trust repair is more effective than the early case, which is consistent with the previous results. In the absence of an emergency, the participant’s decision were similar to those of a random selection. Additionally, there seem to be a strong influence of attention on the participants’ decision to follow the robot.

Original languageEnglish (US)
Title of host publicationSocial Robotics - 10th International Conference, ICSR 2018, Proceedings
EditorsElizabeth Broadbent, Shuzhi Sam Ge, Miguel A. Salichs, Álvaro Castro-González, Hongsheng He, John-John Cabibihan, Alan R. Wagner
PublisherSpringer Verlag
Pages265-274
Number of pages10
ISBN (Print)9783030052034
DOIs
StatePublished - 2018
Event10th International Conference on Social Robotics, ICSR 2018 - Qingdao, China
Duration: Nov 28 2018Nov 30 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11357 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Social Robotics, ICSR 2018
Country/TerritoryChina
CityQingdao
Period11/28/1811/30/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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