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Take one for the team: The effects of error severity in collaborative tasks with social robots
KTH, Skolan för elektroteknik och datavetenskap (EECS), Robotik, perception och lärande, RPL.ORCID-id: 0000-0003-3729-157x
KTH.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Robotik, perception och lärande, RPL.
2019 (Engelska)Ingår i: IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, Association for Computing Machinery (ACM), 2019, s. 151-158Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

We explore the effects of robot failure severity (no failure vs. lowimpact vs. high-impact) on people's subjective ratings of the robot. We designed an escape room scenario in which one participant teams up with a remotely-controlled Pepper robot.We manipulated the robot's performance at the end of the game: The robot would either correctly follow the participant's instructions (control condition), the robot would fail but people could still complete the task of escaping the room (low-impact condition), or the robot's failure would cause the game to be lost (high-impact condition). Results showed no difference across conditions for people's ratings of the robot in terms of warmth, competence, and discomfort. However, people in the low-impact condition had significantly less faith in the robot's robustness in future escape room scenarios. Open-ended questions revealed interesting trends that are worth pursuing in the future: people may view task performance as a team effort and may blame their team or themselves more for the robot failure in case of a high-impact failure as compared to the low-impact failure.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM), 2019. s. 151-158
Nyckelord [en]
Failure, Human-robot interaction, Socially collaborative robots
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:kth:diva-262609DOI: 10.1145/3308532.3329475Scopus ID: 2-s2.0-85069747331ISBN: 9781450366724 (tryckt)OAI: oai:DiVA.org:kth-262609DiVA, id: diva2:1362906
Konferens
19th ACM International Conference on Intelligent Virtual Agents, IVA 2019; Paris; France; 2 July 2019 through 5 July 2019
Anmärkning

QC 20191022

Tillgänglig från: 2019-10-22 Skapad: 2019-10-22 Senast uppdaterad: 2019-10-22Bibliografiskt granskad

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van Waveren, SanneCarter, Elizabeth J.Leite, Iolanda
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Robotik, perception och lärande, RPLKTH
Elektroteknik och elektronik

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