Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving

Applied Ergonomics
David R LargeLee Skrypchuk

Abstract

Given the proliferation of 'intelligent' and 'socially-aware' digital assistants embodying everyday mobile technology - and the undeniable logic that utilising voice-activated controls and interfaces in cars reduces the visual and manual distraction of interacting with in-vehicle devices - it appears inevitable that next generation vehicles will be embodied by digital assistants and utilise spoken language as a method of interaction. From a design perspective, defining the language and interaction style that a digital driving assistant should adopt is contingent on the role that they play within the social fabric and context in which they are situated. We therefore conducted a qualitative, Wizard-of-Oz study to explore how drivers might interact linguistically with a natural language digital driving assistant. Twenty-five participants drove for 10 min in a medium-fidelity driving simulator while interacting with a state-of-the-art, high-functioning, conversational digital driving assistant. All exchanges were transcribed and analysed using recognised linguistic techniques, such as discourse and conversation analysis, normally reserved for interpersonal investigation. Language usage patterns demonstrate that interactions with th...Continue Reading

Citations

Apr 14, 2021··Ekaterina Svikhnushina, Pearl Pu
Mar 16, 2018··Debora ZanattoLaurence White
Sep 19, 2019··Kyle HarringtonPeter Thomas
Apr 30, 2019··Duncan P. BrumbyHarsha Vardhan Ramesh Babu
Sep 14, 2020··Vanessa TobischAdam Emfield
Oct 15, 2020··Joel E. FischerJofish Kaye
Sep 19, 2019··Gary BurnettLeigh Clark

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