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dc.contributor.authorDu, Xuejun 16:53:20 (GMT) 04:50:03 (GMT)
dc.description.abstractArt therapy has been an essential form of psychotherapy to facilitate psychological well-being, which has been promoted and transformed by recent technological advances into digital art therapy. However, the potential of digital technologies has not been fully leveraged; especially, applying AI technologies in digital art therapy is still under-explored. In this paper, we propose DeepThInk, an AI-infused art-making system collaborated with five experienced registered art therapists over ten months, to investigate the potential of introducing a human-AI co-creative process into art therapy. DeepThInk offers a range of tools which can lower the expertise threshold for art-making while improving users’ creativity and expressivity. We validated DeepThInk through expert reviews and a two-part user evaluation with both synchronous and asynchronous therapy setups. This longitudinal iterative design process helped us derive and contextualize design principles of human-AI co-creation for art therapy, shedding light on future design in relevant domains.en
dc.publisherUniversity of Waterlooen
dc.subjectdigital art therapyen
dc.subjectgenerative art modelsen
dc.subjecthuman-AI co-creationen
dc.titleDeepThInk: Designing and Probing Human-AI Co-creation in Digital Art Therapyen
dc.typeMaster Thesisen
dc.pendingfalse R. Cheriton School of Computer Scienceen Scienceen of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws-etd.embargo.terms1 yearen
uws.contributor.advisorZhao, Jian
uws.contributor.affiliation1Faculty of Mathematicsen

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