S(C)ENTINEL - monitoring automated vehicles with olfactory reliability displays

Wintersberger, Philipp, Dmitrenko, Dmitrijs, Schartmüller, Clemens, Frison, Anna-Katharina, Maggioni, Emanuela, Obrist, Marianna and Riener, Andreas (2019) S(C)ENTINEL - monitoring automated vehicles with olfactory reliability displays. ACM IUI 2019, Los Angeles, USA, March 16-20th 2019. Published in: IUI '19 Proceedings of the 24th International Conference on Intelligent User Interfaces. 538-546. Association for Computing Machinery ISBN 9781450362726

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Abstract

Overreliance in technology is safety-critical and it is assumed that this could have been a main cause of severe accidents with automated vehicles. To ease the complex task of per- manently monitoring vehicle behavior in the driving en- vironment, researchers have proposed to implement relia- bility/uncertainty displays. Such displays allow to estimate whether or not an upcoming intervention is likely. However, presenting uncertainty just adds more visual workload on drivers, who might also be engaged in secondary tasks. We suggest to use olfactory displays as a potential solution to communicate system uncertainty and conducted a user study (N=25) in a high-fidelity driving simulator. Results of the ex- periment (conditions: no reliability display, purely visual reliability display, and visual-olfactory reliability display) comping both objective (task performance) and subjective (technology acceptance model, trust scales, semi-structured interviews) measures suggest that olfactory notifications could become a valuable extension for calibrating trust in automated vehicles.

Item Type: Conference Proceedings
Keywords: Automated Driving, Olfactory, Reliability, SAE J3016, Human Factors, Trust
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Creative Technology
Depositing User: Lucy Arnold
Date Deposited: 06 Mar 2019 14:30
Last Modified: 06 Mar 2019 14:30
URI: http://sro.sussex.ac.uk/id/eprint/82341

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