DLHCSIJul 10

Feeling UISTful: An Interactive Portrait of Scholarly Authorship, Readership, and the In-Between

arXiv:2607.091555.0h-index: 8
Predicted impact top 45% in DL · last 90 daysOriginality Synthesis-oriented
AI Analysis

For the UIST community, this system provides a novel way to visualize and reflect on collective reading behavior, but the contribution is incremental as it applies existing concepts of trace sharing and visualization to a specific domain.

UISTful turns reading activity into a collective portrait of a scholarly community, allowing readers to explore papers and authors while recording private reading traces that can be shared and replayed. The system treats reading as a creative process, revealing paths and concentrations of attention across the community.

We introduce UISTful, a system that turns reading activity into a collective portrait of a scholarly community. Readers explore a semantic globe of UIST papers and authors while the system records private reading traces that can be reviewed, reflected upon, curated, and published for others to replay. Inspired by the information flâneur, UISTful treats a reading trace as a camera through which readers frame and interpret what they read, casting reading as a creative and authorial process. Shared traces display the plurality of interpretations composed across the same scholarly landscape, while collective trace views reveal paths and concentrations of attention across the community, inviting UIST to see itself as an interactive system of papers, authors, readers, and their exchanges.

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