A4 Article in conference proceedings
Modelling Drivers’ Adaptation to Assistance Systems (2021)

Jokinen, J. P.P., & Kujala, T. (2021). Modelling Drivers’ Adaptation to Assistance Systems. In AutomotiveUI '21 : 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 12-19). ACM. https://doi.org/10.1145/3409118.3475150

JYU authors or editors

Publication details

All authors or editors: Jokinen, Jussi P. P.; Kujala, Tuomo

Parent publication: AutomotiveUI '21 : 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Place and date of conference: Online, 9.-14.9.2021

ISBN: 978-1-4503-8063-8

Publication year: 2021

Publication date: 09/09/2021

Pages range: 12-19

Number of pages in the book: 312

Publisher: ACM

Place of Publication: New York

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1145/3409118.3475150

Publication open access: Not open

Publication channel open access: 

Abstract

Human factors research and engineering of advanced driving assistance systems (ADAS) must consider how drivers adapt to their presence. The major obstruction to this at the moment is poor understanding of the details of the adaptive processes that the human cognition undergoes when faced with such changes. This paper presents a simulation model that predicts how drivers adapt to a steering assistance system. Our approach is based on computational rationality, and demonstrates how task interleaving strategies adapt to the task environment and the driver’s goals and cognitive limitations. A supervisor controls eye movements between the driving and non-driving tasks, making this choice on the basis of maximising expected joint task utility. The model predicts that with steering assistance, drivers’ in car glance durations increase. We also show that this adaptation leads to risky driving in cases where the reliability of the system is compromised.

Keywords: automotive engineering; automation; motor vehicle drivers; cognition; behaviour

Free keywords: computational rationality; advanced driving assistance systems; multitasking; in-car interface design

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2021

JUFO rating: 1