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

Designing interactions in automated vehicles: the application of communicative concepts to generate novel solutions
Designing interactions in automated vehicles: the application of communicative concepts to generate novel solutions
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.
University of Southampton
Clark, Jediah Richard
07dcfd4e-13c9-4512-9a00-f175c24512a9
Clark, Jediah Richard
07dcfd4e-13c9-4512-9a00-f175c24512a9
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd

Clark, Jediah Richard (2020) Designing interactions in automated vehicles: the application of communicative concepts to generate novel solutions. University of Southampton, Doctoral Thesis, 233pp.

Record type: Thesis (Doctoral)

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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More information

Published date: November 2020

Identifiers

Local EPrints ID: 448866
URI: http://eprints.soton.ac.uk/id/eprint/448866
PURE UUID: 84b22f71-d62b-4d85-a25c-92b02fdffe5f
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 07 May 2021 16:31
Last modified: 08 May 2021 01:44

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Contributors

Thesis advisor: Neville Stanton ORCID iD

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