Cited 0 time in
What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, S.H. | - |
| dc.contributor.author | Lee, S.C. | - |
| dc.contributor.author | Wang, M. | - |
| dc.contributor.author | Hock, P. | - |
| dc.contributor.author | Baumann, M. | - |
| dc.contributor.author | Jeon, M. | - |
| dc.date.accessioned | 2023-01-04T06:12:01Z | - |
| dc.date.available | 2023-01-04T06:12:01Z | - |
| dc.date.issued | 2022-09 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/29957 | - |
| dc.description.abstract | It is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users' needs and requirements to develop and design IVIAs in terms of connectivity. © 2022 Owner/Author. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Association for Computing Machinery, Inc | - |
| dc.title | What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1145/3544999.3550153 | - |
| dc.identifier.scopusid | 2-s2.0-85139061308 | - |
| dc.identifier.wosid | 001144178100046 | - |
| dc.identifier.bibliographicCitation | Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, pp 199 - 200 | - |
| dc.citation.title | Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 | - |
| dc.citation.startPage | 199 | - |
| dc.citation.endPage | 200 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Transportation | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
| dc.subject.keywordAuthor | Automated Vehicle | - |
| dc.subject.keywordAuthor | In-Vehicle Driving Agents | - |
| dc.subject.keywordAuthor | Intelligent Agents | - |
| dc.subject.keywordAuthor | Multiple Agents | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
