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Making of an Adaptive Podcast that Engenders Trust through Data Negotiability

Sailaja, Neelima; Crabtree, Andy; Lodge, Thomas; Chamberlain, Alan; Coulton, Paul; Pilling, Matthew; Forrester, Ian

Authors

Thomas Lodge

Paul Coulton

Matthew Pilling

Ian Forrester



Abstract

As novel media experiences turn towards audience personal data for enhancement, a range of socio-technical challenges that confront their adoption into the everyday lives of audiences are simultaneously surfaced. Podcasts, being the latest member of this emergent phenomena help present the next generation of challenges here like the management of trust within scenarios of implicit (audio-based experiences') data collection and the consideration for real world social scenarios where these media experiences are shared. This paper reports the conceptualisation and design phase of the first adaptive podcast that seeks to explore these questions of management of trust and sociality of data through the application of the principles of Human Data Interaction, particularly the provision of scope for user data negotiations.

Citation

Sailaja, N., Crabtree, A., Lodge, T., Chamberlain, A., Coulton, P., Pilling, M., & Forrester, I. (2024, June). Making of an Adaptive Podcast that Engenders Trust through Data Negotiability. Presented at IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, Stockholm, Sweden

Presentation Conference Type Edited Proceedings
Conference Name IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
Start Date Jun 12, 2024
End Date Jun 14, 2024
Acceptance Date Jun 7, 2024
Publication Date Jun 7, 2024
Deposit Date Oct 14, 2024
Publicly Available Date Oct 25, 2024
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Pages 334-341
Book Title IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
ISBN 9798400705038
DOI https://doi.org/10.1145/3639701.3663634
Public URL https://nottingham-repository.worktribe.com/output/35735134
Publisher URL https://dl.acm.org/doi/10.1145/3639701.3663634

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