Skip to main content

Research Repository

See what's under the surface

"It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car

Large, David R.; Clark, Leigh; Burnett, Gary; Harrington, Kyle; Luton, Jacob; Thomas, Peter; Bennett, Pete

Authors

David R. Large

Leigh Clark

Gary Burnett

Jacob Luton

Peter Thomas

Pete Bennett



Abstract

The use of speech has been popularised as a human-vehicle interface in the automotive domain. While this is most often associated with alleviating concerns of driver distraction and cognitive load, the study explores whether the presence of conversation could, in and of itself, engender trust in the technology, based on our understanding of speech in humans. Thirty-four participants were transported in a fully-autonomous, self-driving ‘pod’ vehicle, accompanied by a natural-language, conversational interface (‘UltraCab’), which was delivered using Wizard-of-Oz methodology. Emergent, trust-related themes were identified from the conversation that took place between participants and UltraCab, posing the question of whether participants sought an emotional connection with the vehicle, or whether conversation remained primarily functional. Implications for trust and the design of conversational interfaces are discussed.

Start Date Aug 22, 2019
Publication Date 2019
Publisher Association for Computing Machinery (ACM)
Book Title CUI '19 Proceedings of the 1st International Conference on Conversational User Interfaces Article No. 22
ISBN 9781450371872
Institution Citation Large, D. R., Clark, L., Burnett, G., Harrington, K., Luton, J., Thomas, P., & Bennett, P. (2019). "It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car. In CUI '19 Proceedings of the 1st International Conference on Conversational User Interfaces Article No. 22https://doi.org/10.1145/3342775.3342789
DOI https://doi.org/10.1145/3342775.3342789
Publisher URL https://dl.acm.org/citation.cfm?doid=3342775.3342789
Related Public URLs https://cui2019.com/