@inproceedings{65c7cc089f2f43feb9fa9a81bfe1d189,
title = "Research on human-machine dynamic trust based on alarm sequence",
abstract = "With the extensive application of automation equipment, the issue of trust in automation has become a research hotspot in the field of human-machine interaction. Too high or too low trust levels may affect the performance and security of human-machine interaction. False alarm is considered to be an important factor affecting operator's automatic trust. Many experimental results show that the false alarm rate is significantly correlated with trust level. This paper studies the relationship between the alarm sequence (composed of a series of correct alarm and false alarm events) and trust level. Based on the cockpit simulation experiment, the dynamic change of the trust level with the warning event is obtained. The experimental results show significant recency and primacy effects.",
keywords = "Alarm sequence, Influence factors, Trust experiment, Trust in automation",
author = "Zhenping Lu and Jianbin Guo and Shengkui Zeng and Qirui Mao",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 2nd World Symposium on Software Engineering, WSSE 2020 ; Conference date: 25-09-2020 Through 27-09-2020",
year = "2020",
month = sep,
day = "25",
doi = "10.1145/3425329.3425389",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "314--320",
booktitle = "Proceedings of the 2020 2nd World Symposium on Software Engineering, WSSE 2020",
address = "美国",
}