Designing interactions in automated vehicles: the application of communicative concepts to generate novel solutions

Abstract

Developments in automated vehicle technology require both driver and automation to collaborate effectively to ensure task success. Operating a vehicle safely is becoming increasingly dependent on the collaborative communication between agents, requiring a better understanding of how human-automation interaction within automated vehicles is of great importance. Measurable outcomes for these interactions are numerous, yet few research pieces address the vast array of factors that are present when developing interactions that can adapt to specific situations and address situation awareness requirements effectively. By learning from team-work communication and the theory of distributed situation awareness, this thesis generates interaction design recommendations and an experimentally validated automated assistant that aims to optimise communication between driver and automation throughout an entire journey, whilst addressing a range of positive outcomes and adapting to complex situations. The thesis follows a four-step approach for developing novel interactions: scoping, piloting, designing and testing. Findings presented in this thesis collectively argue for a restructure in the way automated vehicle interaction is approached by focusing on both the driver and the automated assistant relaying messages to one another as co-drivers to raise situation awareness and calibrate trust, as well as improving overall safe vehicle operation.

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ORCID for Neville Stanton: orcid.org/0000-0002-8562-3279

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