Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving
- Submitting institution
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Swansea University / Prifysgol Abertawe
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 52486
- Type
- D - Journal article
- DOI
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10.1016/j.apergo.2017.04.003
- Title of journal
- Applied Ergonomics
- Article number
- -
- First page
- 53
- Volume
- 63
- Issue
- -
- ISSN
- 0003-6870
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
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-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Developing the future of voice assistants in vehicles requires an understanding of both the social and task-based interactions people expect to have with them. This is crucial for technology acceptance and minimising driver distraction. This paper shows we need to design them to be both socially engaging for users and effective for driving scenarios, and what specific types of language may be required for managing both interaction types. This work fostered two subsequent publications with Jaguar Land Rover (JLR) on understanding trust with spoken driving assistants and developing guidelines for their design. JLR have distributed these guidelines to research staff.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
