Exploring users' perspectives on a solid-enabled personal data store enhanced streaming service
- Author
- Tim Theys (UGent) , Stephanie Van Hove (UGent) , Peter Mechant (UGent) , Gill Van Impe, Alexander Heerinckx and Jelle Saldien (UGent)
- Organization
- Abstract
- This study explores users’ perceptions of integrating a personal data store to enhance personalized recommendations within a streaming service. Using a research-through-design approach and guided by Human Data Interaction principles (legibility, agency, and negotiability), we developed an enhanced streaming service prototype. This prototype was evaluated by experts (n=5), refined, and then used in two focus groups (n=19) to gauge participants’ reactions to the personal data store integration and their willingness to share different data types for enhanced personalized streaming recommendations. The focus groups revealed mixed reactions to the personal data store, with users weighing curiosity against concerns. However, many of the implemented data transparency and control features helped to mitigate these doubts. By linking our findings to existing literature, we developed a set of design recommendations to help businesses and guide future research in building personal data store applications, further advancing the field of Human Data Interaction.
- Keywords
- Personal Data Stores, Solid, Streaming Services, Personalized Recommendations, Human Data Interaction
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JSZR1T9W61V68RHC2KZ2ACQ3
- MLA
- Theys, Tim, et al. “Exploring Users’ Perspectives on a Solid-Enabled Personal Data Store Enhanced Streaming Service.” PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025, Association for Computing Machinery (ACM), 2025, doi:10.1145/3706598.3713308.
- APA
- Theys, T., Van Hove, S., Mechant, P., Van Impe, G., Heerinckx, A., & Saldien, J. (2025). Exploring users’ perspectives on a solid-enabled personal data store enhanced streaming service. PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025. Presented at the Conference on Human Factors in Computing Systems (CHI), Yokohama, Japan. https://doi.org/10.1145/3706598.3713308
- Chicago author-date
- Theys, Tim, Stephanie Van Hove, Peter Mechant, Gill Van Impe, Alexander Heerinckx, and Jelle Saldien. 2025. “Exploring Users’ Perspectives on a Solid-Enabled Personal Data Store Enhanced Streaming Service.” In PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025. Association for Computing Machinery (ACM). https://doi.org/10.1145/3706598.3713308.
- Chicago author-date (all authors)
- Theys, Tim, Stephanie Van Hove, Peter Mechant, Gill Van Impe, Alexander Heerinckx, and Jelle Saldien. 2025. “Exploring Users’ Perspectives on a Solid-Enabled Personal Data Store Enhanced Streaming Service.” In PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025. Association for Computing Machinery (ACM). doi:10.1145/3706598.3713308.
- Vancouver
- 1.Theys T, Van Hove S, Mechant P, Van Impe G, Heerinckx A, Saldien J. Exploring users’ perspectives on a solid-enabled personal data store enhanced streaming service. In: PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025. Association for Computing Machinery (ACM); 2025.
- IEEE
- [1]T. Theys, S. Van Hove, P. Mechant, G. Van Impe, A. Heerinckx, and J. Saldien, “Exploring users’ perspectives on a solid-enabled personal data store enhanced streaming service,” in PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025, Yokohama, Japan, 2025.
@inproceedings{01JSZR1T9W61V68RHC2KZ2ACQ3,
abstract = {{This study explores users’ perceptions of integrating a personal data store to enhance personalized recommendations within a streaming service. Using a research-through-design approach and guided by Human Data Interaction principles (legibility, agency, and negotiability), we developed an enhanced streaming service prototype. This prototype was evaluated by experts (n=5), refined, and then used in two focus groups (n=19) to gauge participants’ reactions to the personal data store integration and their willingness to share different data types for enhanced personalized streaming recommendations. The focus groups revealed mixed reactions to the personal data store, with users weighing curiosity against concerns. However, many of the implemented data transparency and control features helped to mitigate these doubts. By linking our findings to existing literature, we developed a set of design recommendations to help businesses and guide future research in building personal data store applications, further advancing the field of Human Data Interaction.}},
articleno = {{860}},
author = {{Theys, Tim and Van Hove, Stephanie and Mechant, Peter and Van Impe, Gill and Heerinckx, Alexander and Saldien, Jelle}},
booktitle = {{PROCEEDINGS OF THE 2025 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2025}},
isbn = {{9798400713941}},
keywords = {{Personal Data Stores,Solid,Streaming Services,Personalized Recommendations,Human Data Interaction}},
language = {{eng}},
location = {{Yokohama, Japan}},
pages = {{22}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{Exploring users' perspectives on a solid-enabled personal data store enhanced streaming service}},
url = {{http://doi.org/10.1145/3706598.3713308}},
year = {{2025}},
}
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