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Trust Calibration Through Intentional Errors: Designing Robot Errors to Decrease Children’s Trust Towards Robots

Abstract

Robots are being developed to help in various settings with young children. However, research suggests that children may overtrust robots, which can have a negative impact when such trust is unwanted or unsafe. Based on recent results from the community we suggest designing robots to use intentional errors to potentially reduce children’s trust in robots and to mitigate overtrust. We present a breakdown of robot errors that might affect children’s trust towards robots, and which could be used intentionally to mitigate overtrust. This includes accuracy errors, responsiveness errors, and error recovery strategies. We highlight how they could be used to decrease trust. We lastly provide an agenda for researchers to further investigate how the intentional use of robot errors could help to mitigate children’s overtrust in robots.

Authors

Geiskkovitch DY; Young JE

Volume

00

Pagination

pp. 1402-1406

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

August 31, 2023

DOI

10.1109/ro-man57019.2023.10309659

Name of conference

2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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