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Sophia W. Liu

Publications and source records attributed to Sophia W. Liu.

2 recordsLinked to original sources

Feeling Wistful: Reflecting on Scholarly Sensibilities with Creative Reading Traces

Researchers often read before they can articulate what they are looking for. As AI increasingly mediates scholarly search and synthesis, understanding and preserving the idiosyncratic judgments guiding early exploration become important. We call these evolving orientations scholarly sensibilities. To understand curiosity-driven reading, we first examined Wikipedia rabbitholing, a self-directed browsing practice, then designed Wistful, a research probe for open-ended scholarly exploration that captures reading paths as creative reading traces. We studied Wistful with 16 HCI researchers---eight junior and eight senior---in comparison with their usual workflows. Researchers approached the same scholarly landscape differently, with familiarity and personal interests shaping what they pursued and semantic proximity and scholarly links shaping their paths. Their traces made these differences visible and let readers revisit and compare their paths. We position creative reading traces as artifacts for reflection and exchange and as a means of studying how scholarly sensibilities are expressed through reading.

cs.HC↗

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

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 flaneur, 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.

cs.DL↗