Simulations and Self-Driving Cars: A Study of Trust and Consequences

被引:2
|
作者
Pedersen, Bjarke Kristian Maigaard Kjaer [1 ]
Andersen, Kamilla Egedal [1 ]
Koslich, Simon [1 ]
Weigelin, Bente Charlotte [1 ]
Kuusinen, Kati [1 ]
机构
[1] Univ Southern Denamrk, Maersk Mc Kinney Moller Inst, Odense, Denmark
来源
COMPANION OF THE 2018 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'18) | 2018年
关键词
Human-Robot Interaction; Artificial Intelligence; Autonomous System; Self-Driving Car; Simulations; Applied Consequences; Trust;
D O I
10.1145/3173386.3176987
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Trust plays an essential role in ensuring safe and robust human robot interaction. Recent work suggests that people can be too trusting of technology, leading to potential dangerous situations. We carried out a series of experiments in an autonomous car simulator, in order to test if there is a difference in people's behavior when real-life consequences are applied, compared to pure simulation. The study was carried out with six experimental conditions in a between-subject design in which participants (N = 121) interacted with the simulator and were told they could assume control of the autonomous car at any point during the simulation. Results show that participants are significantly less trusting of the autonomous system, when real-life consequences were involved (p = .014).
引用
收藏
页码:205 / 206
页数:2
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