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Failing Consistently and Expectedly: Effects of Error Consistency and Drivers’ Mental Models on Trust in Automated Vehicles
DescriptionEffective integration of Driving Automation Systems (DASs) hinges on understanding drivers' trust determinants. This study examines how driver expectations and automation error consistency influence trust. Drivers' expectations, shaped by mental models of DASs, impact trust formation. Expectation Confirmation Theory (ECT) posits that performance exceeding expectations enhances trust. Moreover, error consistency plays a crucial role; consistent errors may establish predictability and enhance trust compared to inconsistent errors. This research employs a two-way between-subjects design to manipulate expectations (high vs. low) and error patterns (consistent, inconsistent, no errors) among 144 participants using a STISIM driving simulator. Anticipated outcomes include higher trust with consistent errors and when expectations are low. Findings will contribute insights into trust dynamics and inform strategies for enhancing trust in DASs, emphasizing the importance of making residual errors consistent and aligning system capabilities with user expectations to foster trust and improve user experiences.
Event Type
Lecture
TimeThursday, September 12th3:40pm - 4pm MST
LocationFLW Salon I
Tracks
Student Forum