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Author ORCID Identifier
Campus-Only Access for Five (5) Years
Doctor of Philosophy (PhD)
Civil and Environmental Engineering
Year Degree Awarded
Month Degree Awarded
Dr Michael Knodler
Experimental Analysis of Behavior | Transportation Engineering
The automated driving system is expected to enhance traffic safety and flow; however, the system will not be as effective if users do not accept it or do not utilize it appropriately (Lee and See 2004). Appropriate acceptance and use of technology depends on different attributes such as perceived risk, mental workload, self-confidence, and appropriate level of trust that matches system performance. An inappropriate level of trust in technology, whether it is over-trust or under-trust, would negatively affect the benefit of that technology. Based on the literature, trust is a dynamic construct that is constituted of initial or dispositional trust that is shaped before experiencing the system performance and history-based trust that constantly changes by users’ experience of the system. This study first reviews the history of research on humans’ trust in automation and the factors that have shown to be correlated with trust. It will also give a brief overview of some of the previous models of trust in automation. Then based on the gaps in the literature, a survey study and a simulator-based experiment are proposed to further study the factors affecting initial or dispositioned and history-based trust. The result of this study is expected to help better understand drivers’ trust in automated vehicles and help enhance human-automation interaction models.
Hajiseyedjavadi, Foroogh, "EVALUATION OF DRIVERS' TRUST IN AUTOMATED VEHICLES" (2020). Doctoral Dissertations. 1966.