6533b7d9fe1ef96bd126cb77
RESEARCH PRODUCT
Modelling Drivers’ Adaptation to Assistance Systems
Jussi P. P. JokinenTuomo Kujalasubject
050210 logistics & transportationSupervisorComputer sciencebusiness.industry05 social sciencesCognitionRationalityAutomationTask (project management)Risk analysis (engineering)0502 economics and businessHuman multitasking0501 psychology and cognitive sciencesbusinessAdaptation (computer science)050107 human factorsReliability (statistics)description
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-09-09 | 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications |