Searched for: subject%3A%22Trust%255C%2Bcalibration%22
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document
de Visser, E.J. (author), Peeters, M.M.M. (author), Jung, M.F. (author), Kohn, S. (author), Shaw, T.H. (author), Pak, R. (author), Neerincx, M.A. (author)
The introduction of artificial teammates in the form of autonomous social robots, with fewer social abilities compared to humans, presents new challenges for human–robot team dynamics. A key characteristic of high performing human-only teams is their ability to establish, develop, and calibrate trust over long periods of time, making the...
article 2020
document
Waa, J.V.D. (author), Schoonderwoerd, T. (author), Diggelen, J.V. (author), Neerincx, M. (author)
Decision support systems (DSS) have improved significantly but are more complex due to recent advances in Artificial Intelligence. Current XAI methods generate explanations on model behaviour to facilitate a user's understanding, which incites trust in the DSS. However, little focus has been on the development of methods that establish and...
article 2020
document
Walker, F. (author), Steinke, J. (author), Martens, M.H. (author), Verwey, W.B. (author)
To maximize road safety, driver trust in an automated vehicle should be aligned with the vehicle's technical reliability, avoiding under- and over-estimation of its capabilities. This is known as trust calibration. In the study reported here, we asked how far participant assessments of vehicle capabilities aligned with those of the engineers....
article 2020
document
de Visser, E.J. (author), Peeters, M.M.H. (author), Jung, M.F. (author), Kohn, S. (author), Shaw, T.H. (author), Pak, R. (author), Neerincx, M.A. (author)
The introduction of artificial teammates in the form of autonomous social robots, with fewer social abilities compared to humans, presents new challenges for human–robot team dynamics. A key characteristic of high performing human-only teams is their ability to establish, develop, and calibrate trust over long periods of time, making the...
article 2019
document
Walker, F. (author), Wang, J. (author), Martens, M.H. (author), Verwey, W.B. (author)
Studies show that drivers’ intention to use automated vehicles is strongly modulated by trust. It follows that their benefits are unlikely to be achieved if users do not trust them. To date, most studies of trust in automated vehicles have relied on self-reports. However, questionnaires cannot capture real-time changes in drivers’ trust, and are...
article 2019
Searched for: subject%3A%22Trust%255C%2Bcalibration%22
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