Open AccessCreating Appropriate Trust in Automated Valet Parking System
Author(s) -
Jun Ma,
Xuejing Feng,
Zaiwu Gong,
Qianwen Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/5/052059
Subject(s) - transparency (behavior) , computer science , key (lock) , context (archaeology) , human–computer interaction , order (exchange) , process (computing) , computational trust , usability , process management , knowledge management , computer security , business , paleontology , finance , biology , operating system , social science , reputation , sociology
To improve the user experience of autonomous driving, human factors issues regarding automated driving need to be addressed. One of the key issues is how much drivers trust in automated driving systems and how they generate trust and reliance based on their experience. This paper aims to investigate how an appropriate level of user trust for automated valet parking system can be created via human-machine interaction (HMI). For example, trust formation is a dynamic process. When users interact with the system, the factors that affect trust will change with the change of context. In order to understand how factors related to trust interact, we designed two projects by modulating four design variables, which are the ease of use, anthropomorphism, transparency of feedback, and communication style. We measure their trust level and satisfaction and provide some design suggestions for creating appropriate trust in the automated valet parking system.