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 |