Computational Modeling of Driving Behaviors: Challenges and Approaches

Myounghoon Jeon, Yiqi Zhang, Heejin Jeong, Christian Janssen, Shan Bao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Computational modeling has great advantages in human behavior research, such as abstracting the problem space, simulating the situation by varying critical variables, and predicting future outcomes. Although much research has been conducted on driver behavior modeling, relatively little modeling research has appeared at the Auto-UI Conferences. If any, most work has focused on qualitative models about manual driving. In this workshop, we will first describe why computational driver behavior modeling is crucial for automotive research and then, introduce recent driver modeling research to researchers, practitioners, and students. By identifying research gaps and exploring solutions together, we expect to form the basis of a new modeling special interest group combining the Auto-UI community and the computational modeling community. The workshop will be closed with suggestions on the directions for future transdisciplinary work.

Original languageEnglish (US)
Title of host publicationAdjunct Proceedings - 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
PublisherAssociation for Computing Machinery, Inc
Pages160-163
Number of pages4
ISBN (Electronic)9781450386418
DOIs
StatePublished - Sep 9 2021
Event13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 - Virtual, Online, United Kingdom
Duration: Sep 9 2021Sep 14 2021

Publication series

NameAdjunct Proceedings - 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021

Conference

Conference13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
Country/TerritoryUnited Kingdom
CityVirtual, Online
Period9/9/219/14/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Automotive Engineering

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