Does projection into use improve trust and exploration? An example with a cruise control system

By Béatrice Cahour, Jean-François Forzy. 2009

90 citations recorded by the source corpus.

Subfields: Applied Psychology, Cognitive Neuroscience, Social Psychology, Human-Computer Interaction, Robotics & Control

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…must be "calibrated" for individual operators via an interaction between performance expectations (expected system competence; Muir, 1994), user selfconfidence (Muir and Moray, 1996), user training (Cahour and Forzy, 2009), and prior operator experience with AI (Dzindolet, et al., 2003).”
Metrics for Explainable AI: Challenges and Prospects (2018, background): “on is a contextualized, a posteriori judgment of explanations. Based on our review of the psychological literature on explanation, including theoretical and empirical work by Muir (1987, 1994) and by Cahour and Forzy (2009), we identified several key attributes of explanations: understandability, fe”
In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019, background): “Trust is highly dependent on circumstances [4], and previous measurements of trust (e.g., [7, 10, 19, 28]) have largely relied on subjective assessments of what they believed influenced trust in specific situations.”
Familiarization with a Forward Collision Warning on driving simulator: cost and benefit on driversystem interactions and trust (2010, background): “In the same vein, Cahour and Forzy (2009) assumed that the projection into the use of a cruise control system improves trust and exploration of the device.”
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, methodology): “Related to this, a detailed trust measurement setup is presentation in the paper by Cahour and Forzy [28], which measures user trust with multiple trust scales (constructs of trust), video recording, and self-confrontation interviews to evaluate three modes of system presentation.”
A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “…behavior and communication engender trust across differing task contexts (Bagheri & Jamieson, 2004; Bailey et al., 2006; Bliss & Acton, 2003; Cahour & Forzy, 2009; Cummings, Clare, & Hart,, 2010; Donmez et al., 2006; Ho et al., 2005; Kazi, Stan-ton, Walker, & Young, 2007; Moray et al.,…”