Timing is Key for Robot Trust Repair
Paul Robinette,Paul Robinette,Ayanna M. Howard,Alan R. Wagner +3 more
- pp 574-583
TLDR
The effects of a robot apologizing for its mistake, promising to do better in the future, and providing additional reasons to trust it in a simulated office evacuation conducted in a virtual environment are evaluated.Abstract:
Even the best robots will eventually make a mistake while performing their tasks. In our past experiments, we have found that even one mistake can cause a large loss in trust by human users. In this paper, we evaluate the effects of a robot apologizing for its mistake, promising to do better in the future, and providing additional reasons to trust it in a simulated office evacuation conducted in a virtual environment. In tests with 319 participants, we find that each of these techniques can be successful at repairing trust if they are used when the robot asks the human to trust it again, but are not successful when used immediately after the mistake. The implications of these results are discussed.read more
Citations
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Proceedings ArticleDOI
Overtrust of Robots in Emergency Evacuation Scenarios
TL;DR: All 26 participants followed the robot in the emergency, despite half observing the same robot perform poorly in a navigation guidance task just minutes before, and the majority of people did not choose to safely exit the way they entered.
Journal ArticleDOI
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction
TL;DR: This article proposes a framework to infuse a unique human-like ability, building and actively repairing trust, into autonomous systems, and proposes a model to guide the design of future autonomy.
Journal ArticleDOI
Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams
Ewart J. de Visser,Marieke M. M. Peeters,Malte F. Jung,Spencer Kohn,Tyler H. Shaw,Richard Pak,Mark A. Neerincx +6 more
TL;DR: A novel integrative model is presented that takes a longitudinal perspective on trust development and calibration in human–robot teams and introduces the introduction of the concept relationship equity.
Book ChapterDOI
The role of trust in human-robot interaction
TL;DR: This chapter believes that, while significant progress has been made in recent years, especially in quantifying and modeling trust, there are still several places where more investigation is needed.
Journal ArticleDOI
Effect of Robot Performance on Human–Robot Trust in Time-Critical Situations
TL;DR: A set of experiments that tasked individuals with navigating a virtual maze using different methods to simulate an evacuation concluded that a mistake made by a robot will cause a person to have a significantly lower level of trust in it in later interactions.
References
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Posted Content
Running experiments on Amazon Mechanical Turk
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Journal ArticleDOI
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Brooks King-Casas,Brooks King-Casas,Damon Tomlin,Damon Tomlin,Cedric Anen,Cedric Anen,Colin F. Camerer,Colin F. Camerer,Steven R. Quartz,Steven R. Quartz,P. Read Montague,P. Read Montague +11 more
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