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Journal Article

Citation

Hunter JG, Ulwelling E, Konishi M, Michelini N, Modali A, Mendoza A, Snyder J, Mehrotra S, Zheng Z, Kumar AR, Akash K, Misu T, Jain N, Reid T. Front. Psychol. 2023; 14: e1129583.

Copyright

(Copyright © 2023, Frontiers Research Foundation)

DOI

10.3389/fpsyg.2023.1129583

PMID

37251058

PMCID

PMC10219791

Abstract

While trust in different types of automated vehicles has been a major focus for researchers and vehicle manufacturers, few studies have explored how people trust automated vehicles that are not cars, nor how their trust may transfer across different mobilities enabled with automation. To address this objective, a dual mobility study was designed to measure how trust in an automated vehicle with a familiar form factor-a car-compares to, and influences, trust in a novel automated vehicle-termed sidewalk mobility. A mixed-method approach involving both surveys and a semi-structured interview was used to characterize trust in these automated mobilities.

RESULTS found that the type of mobility had little to no effect on the different dimensions of trust that were studied, suggesting that trust can grow and evolve across different mobilities when the user is unfamiliar with a novel automated driving-enabled (AD-enabled) mobility. These results have important implications for the design of novel mobilities.


Language: en

Keywords

automated vehicles (AVs); dual mobility; mobility-as-a-service (MaaS); semi-structured interview; trust in automation

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