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Zhino Yousefi, York University, CanadaAbstract
This paper explores the adaptation of artificial intelligence (AI) personas from conventional marketing research into the domain of media art practice as a research-creation methodology. AI personas are commonly used as synthetic profiles to predict consumer behavior from aggregated data. This research pivots these personas into a prototyping and audience simulation tool for artists. The methodology involves using mindful design and limited-knowledge personas to foster a structured, private dialogue that clarifies the artist’s intent rather than replacing it. A concrete example, the installation “Cyber Séance: Rituals of the Machine Afterlife,” illustrates this approach, demonstrating how an AI conversational partner can guide design decisions and audience interaction. Ethical tensions surrounding authorship, AI influence, and the potential for bias are also critically discussed. This proposed approach ultimately redefines AI from an authoritative tool to a controlled, interpretive space for engagement, supporting artistic agency and offering a novel methodology for art-based research.
Paper Information
Conference: IICAH2026Stream: Arts - Media Arts Practices: Television
This paper is part of the IICAH2026 Conference Proceedings (View)
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To cite this article:
Yousefi Z. (2026) Adapting AI-Generated Personas From Marketing Research to Media Art Practice ISSN: 2432-4604 – The IAFOR International Conference on Arts & Humanities – Hawaii 2026 Official Conference Proceedings (pp. 251-258) https://doi.org/10.22492/issn.2432-4604.2026.22
To link to this article: https://doi.org/10.22492/issn.2432-4604.2026.22
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