دورية أكاديمية

Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems - an attempt to overcome the sample size roadblock

التفاصيل البيبلوغرافية
العنوان: Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems - an attempt to overcome the sample size roadblock
المؤلفون: Bachmann, D, van Maanen, L
المساهمون: Leerstoel Stigchel, Experimental Psychology (onderzoeksprogramma PF), Helmholtz Institute
سنة النشر: 2024
مصطلحات موضوعية: Automated vehicles, Bayesian hierarchical modeling, Decision Diffusion models, Evidence accumulation models, Human-automated vehicle interaction, Sample size
الوصف: For the foreseeable future, automated vehicles (AVs) will coexist on the roads with human drivers. To avoid accidents, AVs will require knowledge on how human drivers typically make high-stakes and time-sensitive decisions (e.g., whether or not to brake). Providing such insights could be statistical models designed to explain human information processing and decision making. This paper attempts to address a roadblock that prevents one class of such "cognitive models", evidence accumulation models (EAMs), from being widely applied in the design of AV systems: their high demands for data. Specifically, we investigate whether Bayesian hierarchical modeling can be used to determine a person's characteristics, if we only have limited data about their behavior but extensive data on other (comparable) people's behaviors. Leveraging a simulation study and a reanalysis of experimental data, we find that most parameters of Decision Diffusion Models (a class of EAMs) – representing information processing components – can be adequately estimated with as few as 20 observations, if prior information regarding the decision-making processes of the population is incorporated. Subsequently, we discuss the implications of our findings for the modeling of traffic situations.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 1071-5819
العلاقة: https://dspace.library.uu.nl/handle/1874/438066Test
الإتاحة: https://dspace.library.uu.nl/handle/1874/438066Test
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.4643CEE
قاعدة البيانات: BASE