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Cornell University

Driving Simulation for Interaction

Abstract

dc:description.abstract

This Ph.D. thesis investigates how interactions with autonomous systems can be simulated to explore a wide range of scenarios before autonomous driving technology is deployed to the public. The advent of autonomous vehicles creates new challenges for driving simulation: user experience, non-driving related tasks, and driver-driver interactions become more relevant. Given the new challenges emerging intelligent systems bring, this dissertation develops three new simulator systems that allow interactions to unfold more freely than traditional implementations. This allows researchers to discover how and which design choices matter for seamless interaction and safe introduction to the public. The first simulator explores how interactions between a driver/passenger and an autonomous vehicle unfold, especially in critical traffic situations; the second extended this concept to include real-world traffic. The third simulator enabled the examination of the interaction between traffic participants, specifically driver-driver interactions, and their strategies to resolve ambiguous traffic situations. Besides enabling immersive, replicable, and reusable research, the simulators are designed to capture and reproduce rich data streams from participants' reactions. The unified view of these data streams facilitates the reconstruction of the interaction through qualitative behavioral analysis. The thesis concludes with an outlook on how these methods and simulators, in particular the discovery-based approach, could find applications within the research fields of Human-Robot Interaction and Human-Computer Interaction.

Degree

thesis:*
Name thesis:degree_name
Ph. D., Information Science
Level thesis:degree_level
Doctor of Philosophy
Discipline thesis:degree_discipline
Information Science
Grantor
Cornell University
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Goedicke, David
Committee members dc:contributor.committeemember
  • Jung, Malte
  • Belongie, Serge

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Attribution-ShareAlike 4.0 International
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
ProQuest Submission ID: 13931
ProQuest Publication ID: 30630985
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/114636

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Goedicke, David. Driving Simulation for Interaction. Doctor of Philosophy thesis, Cornell University, 2023. https://hdl.handle.net/1813/114636