ORAgen Fables: Advancing the Design and Management of Content Attribution

要旨

As the internet thrives on the circulation of easily copied content, ensuring attribution is properly given has been a perennial challenge. Following the rise of synthetic media and generative AI tools, and corresponding technologies which enable detailed media provenance, the picture has become considerably more complicated. We present a design research project to consider the implications of these developments from the perspective of the public, everyday (non-professional) user and ‘mundane content’ creation. Through the design, exhibition, and study of a collaborative storytelling tool, ORAgen Fables, we introduce technologies which enable detailed attribution and media provenance and explore contemporary attitudes and concerns about attribution. Our findings suggest that attribution should be understood as relational and dynamic with users having the right to ongoing management of their attribution. This opens a design space for understanding how technical systems could be deployed to define and ascribe attribution for past and future interactions.

受賞
Honorable Mention
著者
Frances Liddell
University of Edinburgh, Edinburgh, United Kingdom
Billy Dixon
University of Edinburgh, Edinburgh, United Kingdom
Ella Tallyn
University of Edinburgh, Edinburgh, United Kingdom
Caterina Moruzzi
University of Edinburgh, Edinburgh, United Kingdom
Evan Morgan
University of Edinburgh, Edinburgh, United Kingdom
Chris Elsden
University of Edinburgh, Edinburgh, United Kingdom

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Social Intelligence & Human-Agent Dynamics

P1 - Room 123
7 件の発表
2026-04-16 18:00:00
2026-04-16 19:30:00