The Perception And Measurement Of Human-robot Trust

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…2013; Montague, 2010; Moray and Inigaki, 1999; Muir, 1994; Muir and Moray, 1996; Parasuraman, Molloy, and Singh, 1993; Parasuraman and Riley, 1997; Pomranky, Dzindolet, and Peterson, 2001; Schaefer, 2013; Singh, Molloy, and Parasuraman, 1993a; Wang, Jamieson, and Hollands, 2009; Wickens, 1994).”
Metrics for Explainable AI: Challenges and Prospects (2018, positive): “For example, the scale developed by Schaefer (2013) refers specifically to the context of human reliance on a robot, and thus asks Does it act as part of a team? and Is it friendly?”
Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models (2018, methodology): “which asked about trust and derived a general trust score using the Schaefer scale (Schaefer, 2013).”
A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “The importance of the relationship between gender, ethnicity, trust propensity, personality traits, and trust has been discussed across multiple domains (Schaefer, 2013).”
The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams (2016, methodology): “We also included the NASA Cognitive Load Index [11], Situation Awareness Rating Scale [35], trust in oneself and teammate [30], and trust in robots [32].”