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Driving Simulation for Interaction- [electronic resource]
![Driving Simulation for Interaction - [electronic resource]](/Users/Baul/Images/book.png)
Driving Simulation for Interaction- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101629
- ISBN
- 9798380315807
- DDC
- 020
- 저자명
- Goedicke, David.
- 서명/저자
- Driving Simulation for Interaction - [electronic resource]
- 발행사항
- [S.l.]: : Cornell University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(219 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
- 주기사항
- Advisor: Ju, Wendy.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약This 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.
- 일반주제명
- Information science.
- 일반주제명
- Computer science.
- 일반주제명
- Design.
- 키워드
- Virtual reality
- 기타저자
- Cornell University Information Science
- 기본자료저록
- Dissertations Abstracts International. 85-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008240612s2023 us |||||||||||||||c||eng d■001000016934587
■00520240214101629
■006m o d
■007cr#unu||||||||
■020 ▼a9798380315807
■035 ▼a(MiAaPQ)AAI30630985
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a020
■1001 ▼aGoedicke, David.▼0(orcid)0000-0002-4837-893X
■24510▼aDriving Simulation for Interaction▼h[electronic resource]
■260 ▼a[S.l.]:▼bCornell University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(219 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-03, Section: B.
■500 ▼aAdvisor: Ju, Wendy.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aThis 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.
■590 ▼aSchool code: 0058.
■650 4▼aInformation science.
■650 4▼aComputer science.
■650 4▼aDesign.
■653 ▼aBehavioral coding
■653 ▼aAutomation design
■653 ▼aImmersive simulation
■653 ▼aInteraction design
■653 ▼aVirtual reality
■690 ▼a0723
■690 ▼a0984
■690 ▼a0389
■690 ▼a0800
■71020▼aCornell University▼bInformation Science.
■7730 ▼tDissertations Abstracts International▼g85-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16934587▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
