Robot Vulnerability and the Elicitation of User Empathy

Morten Roed Frederiksen, Katrin Fischer, Maja Mataric

Publikation: Konferencebidrag - EJ publiceret i proceeding eller tidsskriftPaperForskningpeer review

Abstract

This paper describes a between-subjects Amazon Mechanical Turk study (n = 220) that investigated how a robot’s affective narrative influences its ability to elicit empathy in human observers. We first conducted a pilot study to develop and validate the robot’s affective narratives. Then, in the full study, the robot used one of three different affective narrative strategies (funny, sad, neutral) while becoming less functional at its shopping task over the course of the interaction. As the functionality of the robot degraded, participants were repeatedly asked if they were willing to help the robot. The results showed that conveying a sad narrative significantly influenced the participants’ willingness to help the robot throughout the interaction and determined whether participants felt empathetic toward the robot throughout the interaction. Furthermore, a higher amount of past experience with robots also increased the participants’ willingness to help the robot. This work suggests that affective narratives can be useful in short-term interactions that benefit from emotional connections between humans and robots
OriginalsprogEngelsk
Publikationsdato29 aug. 2022
Antal sider7
DOI
StatusUdgivet - 29 aug. 2022
Begivenhed2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Naples, Italy, Naples, Italien
Varighed: 29 aug. 20222 sep. 2022
Konferencens nummer: 31
http://www.ro-man2022.org

Konference

Konference2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Nummer31
LokationNaples, Italy
Land/OmrådeItalien
ByNaples
Periode29/08/202202/09/2022
Internetadresse

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