The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information
By Matthias Beggiato, Josef F. Krems. 2013
319 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Social Psychology, Surgery
View Paper: https://www.semanticscholar.org/paper/2d5c5577a32b8915719305a11dd5b1fbe55df046
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- J. D. de Winter
- Riender Happee
- Maria Riveiro
- Göran Falkman
- Neville A Stanton
- Staffan Davidsson
- Tove Helldin
- Michael A. Nees
In Social Psychology
- J. D. de Winter
- Riender Happee
- James L. Szalma
- Jessie Y.C. Chen
- Peter A. Hancock
- Maria Riveiro
- Göran Falkman
- Neville A Stanton
In Surgery
- Jessie Y.C. Chen
- Maria Riveiro
- Göran Falkman
- Staffan Davidsson
- Tove Helldin
- Michael A. Nees
- Kristin E. Schaefer
Citations in the corpus
- Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014, background): “Beggiato and Krems (2013) found that ACC failures do not have a negative effect on ratings of trust and acceptance if the possible occurrence of failures is told beforehand.”
- Explanations in Autonomous Driving: A Survey (2021, background): “subjective predicting factor for the adoption of automated driving systems, several studies have shown the importance of viewing trust formation and calibration in AVs as a temporal process influenced by prior information or background knowledge [57], [58].”
- Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving (2013, methodology): “The mean of the scores was used as an overall trust score (as presented by Beggiato and Krems [10]).”
- Acceptance of Self-driving Cars (2016, background): “Human factors research (Beggiato & Krems, 2013) has shown that unrealistic expectations about automation performance indeed increases initial acceptance, but trust and acceptance may be irreparably harmed after interactions with imperfect automation reveal its previously undisclosed shortcomings to…”
- A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “Beggiato and Krems (2013) assessed this direct relationship with adaptive cruise control (ACC) by manipulating participants’ initial MM of the system (i.e., correct, incomplete, or incorrect ACC description) and measuring trust over time.”