Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration
Nanjing University, People's Republic of China.
Nanjing University, People's Republic of China.
Nanjing University, People's Republic of China.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-5150-9101
Show others and affiliations
Number of Authors: 52023 (English)In: Proceedings of the Association for Information Science and Technology, E-ISSN 2373-9231, Vol. 60, no 1, p. 1215-1217Article in journal (Refereed) Published
Abstract [en]

As advancements in artificial intelligence (AI) technology have opened new avenues for artistic expression and creation, human-AI collaboration in creative activities has garnered increasing attention. Through semi-structured interviews with 15 participants, we investigate the intrinsic and extrinsic factors that motivate laypeople's engagement with AI painting, as well as challenges and concerns faced by users. Our findings reveal that laypeople engage with AI painting for emotional needs like entertainment, aesthetics, surprise, and curiosity, personal utilitarian needs such as self-expression and customization, and social interaction through sharing and communication. Despite the appeal of novelty and unpredictability they also encountered challenges related to technical and system functionality, personal and environmental factors, as well as concerns about algorithm bias, pornography misuse, employment risks, copyright disputes and ethical implications. Findings provide preliminary evidence of the potential and limitations of AI in democratizing creative activities, and offer implications for designing and developing of AI assistance tools.

Place, publisher, year, edition, pages
2023. Vol. 60, no 1, p. 1215-1217
National Category
Human Computer Interaction
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-225347DOI: 10.1002/pra2.996OAI: oai:DiVA.org:su-225347DiVA, id: diva2:1827947
Available from: 2024-01-15 Created: 2024-01-15 Last updated: 2025-02-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Hansen, Preben

Search in DiVA

By author/editor
Hansen, Preben
By organisation
Department of Computer and Systems Sciences
In the same journal
Proceedings of the Association for Information Science and Technology
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 49 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf