Search results for "ajotapa"

showing 1 items of 1 documents

Multitasking in Driving as Optimal Adaptation Under Uncertainty

2021

Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The…

Automobile Drivingreinforcement learningComputer sciencevisuaalinen ympäristöHuman Factors and Ergonomicshuomiokyky050105 experimental psychologyBehavioral NeuroscienceCognitionHuman–computer interactiondrivingHumansHuman multitaskingReinforcement learning0501 psychology and cognitive sciencesajotapamultitaskingAdaptation (computer science)050107 human factorsApplied Psychologycomputational rationalitykuljettajattask interleaving05 social sciencesUncertaintyliikennekäyttäytyminenAutomobile drivingkognitiiviset prosessithavainnot
researchProduct