Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation.
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| Title: | Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation. |
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| Authors: | Liu, Yi-Lin Elim1,2, Huang, Yueh-Min2, huang@mail.ncku.edu.tw |
| Source: | International Journal of Human-Computer Interaction; Jan2025, Vol. 41 Issue 1, p694-706, 13p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 182583856 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2024.2311975 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 694 Titles: – TitleFull: Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Yi-Lin Elim – PersonEntity: Name: NameFull: Huang, Yueh-Min IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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