Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation

• Published in: International journal of human-computer interaction Vol. 41; no. 1; pp. 694 - 706
• Main Authors: Liu, Yi-Lin Elim, Huang, Yueh-Min
• Format: Journal Article
• Language: English
• Published: Norwood Taylor & Francis 02.01.2025; Lawrence Erlbaum Associates, Inc
• Subjects: Artificial intelligence; Artificial intelligence in design; Colleges & universities; Design; Design analysis; Education; expectation confirmation model; Hypotheses; idea generation; Perceptions; Students; Synthesis; Technology Acceptance Model; user interface design; User interfaces; User satisfaction

Artificial intelligence (AI)-based text-to-image technologies have recently gained considerable attention, but their specific applications for educational purposes remain relatively unexplored. This research aims to bridge this gap by developing a theoretical model that combines constructs from the...