Trusting autonomous vehicles: An interdisciplinary approach

The theoretical concept of trust has been identified as highly important to the successful design of intelligent technologies such as autonomous vehicles (AVs). In human-centred transport research this has resulted in a focus on trust in the technical design of future AVs and has raised the question of how the conditions that form trust change as technologies become more intelligent. In this article the authors discuss the first stage of an interdisciplinary project that brought together ethnographic and experimental user studies into trust in intelligent cars. This stage focused on the development of an interdisciplinary methodological framework for the user studies, through a review of 258 empirical human-computer interaction (HCI) research articles on trust in automation and AVs. The review investigated the following research questions: a) what are the key themes in HCI methodologies used to research trust in automation and AVs; b) how do they account for trust in AVs as part of wider contexts; and c) how can these methodologies be developed to include more than momentary and individual human-machine interactions. The authors found that while theoretical understandings of trust in automated technologies acknowledge the relevance of the wider context in which the interaction occurs, existing methodologies predominantly involve experimental studies in simulated environments with a focus on reliance related aspects of trust. The authors identified that ethnographic user studies can potentially contribute to new connections between theoretical understandings and conventional experimental methods. Therefore, the authors propose a framework for an interdisciplinary approach that combines experimental and ethnographic methodologies to investigate trust in AVs.

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  • English

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  • Accession Number: 01753894
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 30 2020 4:41PM