Studying Self-Care with Generative AI Tools: Lessons for Design-Reference-Cited by-同舟云学术

Studying Self-Care with Generative AI Tools: Lessons for Design

Published:2024-07 Issue: Volume:4 Page:1620-1637
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Container-title:Designing Interactive Systems Conference
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Author:

Capel Tara¹^ORCID,Ploderer Bernd²^ORCID,Bircanin Filip³^ORCID,Hanmer Simon⁴^ORCID,Yates Jamie Paige⁵^ORCID,Wang Jiaxuan⁶^ORCID,Khor Kai Ling⁶^ORCID,Leong Tuck Wah⁷^ORCID,Wadley Greg⁸^ORCID,Newcomb Michelle⁶^ORCID

Affiliation:

1. University of Edinburgh, United Kingdom and Queensland University of Technology, Australia

2. School of Computer Science, Queensland University of Technology (QUT), Australia

3. Department of Informatics, King's College London, United Kingdom and Queensland University of Technology, Australia

4. Queensland University of Technology (QUT), Australia

5. Faculty of Science, Queensland University of Technology, Australia

6. Queensland University of Technology, Australia

7. School of Computing Technologies, RMIT University, Australia and Faculty of Engineering and IT, University Technology Sydney, Australia

8. School of Computing and Information Systems, The University of Melbourne, Australia

Publisher

ACM

Reference59 articles.

1. “No Amount of Baths Is Gonna Make You Feel Better”: Seeking Balance, Wholeness, and Well-being in Everyday Self-Care

2. Victor Nikhil Antony and Chien-Ming Huang. 2023. Id. 8: Co-Creating Visual Stories with Generative Ai. arXiv preprint arXiv:2309.14228.

3. Amid Ayobi, Paul Marshall, Anna L Cox and Yunan Chen. 2017. Quantifying the Body and Caring for the Mind: Self-Tracking in Multiple Sclerosis. In Proceedings of Proceedings of the 2017 CHI conference on human factors in computing systems. 6889-6901. http://dx.doi.org/10.1145/3025453.3025869

4. Amid Ayobi, Tobias Sonne, Paul Marshall and Anna L. Cox. 2018. Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals. In Proceedings of Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Montreal QC, Canada, Paper 28. http://dx.doi.org/10.1145/3173574.3173602

5. G. Bell, J. Burgess, J. Thomas and S. Sadiq. 2023. Rapid Response Information Report: Generative Ai - Language Models (Llms) and Multimodal Foundation Models (Mfms). Australian Council of Learned Academies, 2023.