Impact of robot failures and feedback on real-time trust

By Munjal Desai, Poornima Kaniarasu, Mikhail S. Medvedev, Aaron Steinfeld, Holly A. Yanco. IEEE/ACM International Conference on Human-Robot Interaction, 2013

312 citations recorded by the source corpus.

Subfields: Radiological and Ultrasound Technology, Social Psychology, Surgery

View Paper: https://www.semanticscholar.org/paper/ae60863ca2de576f7f9343d6c8f86ed258aa9741

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In Radiological and Ultrasound Technology

In Social Psychology

In Surgery

Ewart J. de Visser

Citations in the corpus

Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams (2019, background): “Trust measurement remains a key issue for HRT interaction [34,35,44,53].”
Mitigating Concept Drift via Rejection (2018, background): “Because users of a model struggle to interpret its abilities and limitations correctly [1], such failures have a measurable impact on the user’s trust [2] – hence, failures should be avoided not only in safety critical environments where failures could be fatal, but also in everyday applications in ”
Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development (2018, background): “…(e.g., Gieselmann, 2006; Gehle et al., 2015), however most studies used controlled user experiments (e.g., Spexard et al., 2008; Short et al., 2010; Desai et al., 2013; Salem et al., 2013, 2015; Gompei and Umemuro, 2015; Knepper et al., 2015; Hayes et al., 2016; Ragni et al., 2016; Robinette et…”
Automated rationale generation: a technique for explainable AI and its effects on human perceptions (2019, methodology): “ failure and unexpected behavior happens [12,23]. Collaboration, tolerance, and perceived intelligence are affected by the way autonomous agents and robots communicate failure and unexpected behavior [15,24, 25,32]. Quantitative Analysis In order to determine whether the preferences signiﬁcantly fav”
Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, methodology): “Responding at a particular cue or at will, participants indicate whether their trust has increased, remained the same, or decreased compared to their prior response (Desai, 2012; Desai et al., 2013).”