Citation Export
DC Field | Value | Language |
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dc.contributor.author | Ha, Hyoji | - |
dc.contributor.author | Moon, Kwanghyuk | - |
dc.contributor.author | Joung, Hyerim | - |
dc.contributor.author | Kim, Hyegyeong | - |
dc.contributor.author | Lee, Kyungwon | - |
dc.date.issued | 2022-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36827 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144614787&origin=inward | - |
dc.description.abstract | This study proposes an exploration tool for users' intuitive understanding of visual metaphor processes in sentiment visualization cases. To create the exploration tool, we conducted the following procedure 1) Extract sentences about visual metaphor and use 'Target, Intermediation, Representation, Visual Variables, Visualization Technique' as a taxonomy to analyze metaphor processes in the collected cases. 2) Create Network to suggest the relationship between representation and intermediation. 3) Utilize Sankey Diagram to perceive the frequent metaphor process patterns in stages. | - |
dc.description.sponsorship | This research was supported by the MIST(Ministry of Science, ICT), Korea, under the National Program for Excellence in SW), supervised by the IITP(Institute of Information & communications Technology Planning & Evaluation) in 2022(2022-0-01077). | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Exploration tools | - |
dc.subject.mesh | Human-centered computing | - |
dc.subject.mesh | Intuitive understanding | - |
dc.subject.mesh | Sankey diagram | - |
dc.subject.mesh | Visual metaphor | - |
dc.subject.mesh | Visual variables | - |
dc.subject.mesh | Visualization system | - |
dc.subject.mesh | Visualization technique | - |
dc.subject.mesh | Visualization toolkits | - |
dc.subject.mesh | Visualization tools | - |
dc.title | Exploration Tool for Effectively Interpreting the Visual Metaphor Process of Sentiment Visualization | - |
dc.type | Conference | - |
dc.citation.conferenceName | 12th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2022 | - |
dc.citation.edition | Proceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022 | - |
dc.citation.title | Proceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022 | - |
dc.identifier.bibliographicCitation | Proceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022 | - |
dc.identifier.doi | 10.1109/ldav57265.2022.9966401 | - |
dc.identifier.scopusid | 2-s2.0-85144614787 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9966414 | - |
dc.subject.keyword | Human-centered computing | - |
dc.subject.keyword | Visualization | - |
dc.subject.keyword | Visualization systems and tools | - |
dc.subject.keyword | Visualization Toolkits | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Media Technology | - |
dc.subject.subarea | Modeling and Simulation | - |
dc.subject.subarea | Artificial Intelligence | - |
dc.subject.subarea | Information Systems | - |
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