Piliouras, Sotirios, Saunders, Rob, Jordanous, Anna (2024) Investigating co-creativity interaction with AI-imagery tools for ideation. In: HuMaIn Workshop on Human-Machine Interaction, at KI 2024 - 47th German Conference on Artificial Intelligence, 25 September to 27 September, 2024, Wurzburg, Germany. (In press) (KAR id:106984)
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Abstract
This study explores the facilitation of ideation in the creative process through the interaction with AI-imagery tools. We developed a range of co-creative methodologies for ideation and evaluated them in an experimental study with creative experts. The creativity of the sys tem was assessed using the SPECS method, while attitudes towards future adoption were evaluated using the UTAUT scale. Inspiration and self-reflection were also measured to assess the ideation impact to the participants. Results indicate a strong inclination among participants in adopting AI-imagery tools for ideation. Correlation between SPECS and UTAUT suggests the potential for predicting system acceptance and future adoption through creativity measurement scales. Interviews with participants underscored design considerations, such as maintaining balance between surprise and control and preserving the tool’s artistic interpretation. This study highlights the positive reception of AI-imagery tools for ideation and underscores the potential of combining SPECS and UTAUT as an evaluation methodology for co-creative systems.
Item Type: | Conference or workshop item (Paper) |
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Uncontrolled keywords: | AI-imagery; human-AI interaction; co-creativity; ideation; computational creativity; mixed initiative interaction; digital art |
Subjects: |
N Visual Arts Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing University-wide institutes > Institute of Cultural and Creative Industries |
Depositing User: | Anna Jordanous |
Date Deposited: | 22 Aug 2024 14:46 UTC |
Last Modified: | 23 Aug 2024 09:32 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106984 (The current URI for this page, for reference purposes) |
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