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

Jul 16, 2026

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Feeling UISTful presents a system that converts individual reading behavior into a collective portrait of a scholarly community. Readers navigate a semantic globe of UIST papers and author information while the system saves private reading traces that can be reviewed, reflected upon, curated, and later published for others to replay. Drawing on the information flâneur metaphor, it treats reading traces as a framing and interpretation mechanism. Shared traces expose diverse interpretations, and collective views reveal communal paths and attention concentrations across the research landscape.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages5

Reading Time13 min

Introduction

Creative reading and trace preservation

UISTful system overview

arXiv :2607 .09 155v 1 [ cs .DL] 10 Jul 2026 Feeling UISTful: An Interactive Portrait of Scholarly Authorship, Readership, and the In-Between Sophia Liu University of California, Berkeley Berkeley, California, USA [sophiawliu@berkeley.edu](sophiawliu@berkeley.edu) Shm Garanganao Almeda University of California, Berkeley Berkeley, California, USA[shm.almeda@berkeley.edu](shm.almeda@berkeley.edu) Max Kreminski Cornell Tech New York, New York, USA [mkremins@cornell.edu](mkremins@cornell.edu) Bjoern Hartmann University of California, Berkeley Berkeley, California, USA [bjoern@berkeley.edu](bjoern@berkeley.edu) Figure 1: UISTful’s published trace interface presents one reading as an ordered Path (1), hierarchical Tree (2), and nonlinear Graph (3). The Graph includes reader-authored edges (3-a) and latent (untraversed) citation and authorship edges (3-b). Inreading Field Notes (4-a) and post-reading Reflection Notes (4-b) capture interpretation, while bookmarks highlight meaningful moments. Readers can coordinate views, replay the trace, project it onto the Globe (5), and discuss the trace with others (6). Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission [and/or a fee. Request permissions from permissions@acm.org](and/or a fee. Request permissions from permissions@acm.org). Conference’17, Washington, DC, USA © 2026 Copyright held by the owner/author(s) . Publication rights licensed to ACM. ACM ISBN 978-x-xxxx-xxxx-x/YYYY/MM [https://doi.org/XXXXXXX.XXXXXXX](https://doi.org/XXXXXXX.XXXXXXX) Abstract 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. CCS Concepts • Human-centered computing → Web-based interaction; Visualization theory, concepts and paradigms; Social networks. Keywords scholarly sensemaking, reading traces, collective sensemaking, social and information networks, network visualization ACM Reference Format: Sophia Liu, Shm Garanganao Almeda, Max Kreminski, and Bjoern Hartmann. 2026. Feeling UISTful: An Interactive Portrait of Scholarly Authorship, Readership, and the In-Between. In . ACM, New York, NY, USA, 5 pages. [https://doi.org/XXXXXXX.XXXXXXX](https://doi.org/XXXXXXX.XXXXXXX) 1 Introduction Reading augmentation systems increasingly use LLMs and agentic workflows to perform reading and synthesis on the reader’s behalf [12] . Many scholarly sensemaking systems instead scaffold readers in carrying out this work themselves across research texts at scale [9, 13] . Whether automating or assisting the process, these approaches provide powerful support for reading for transmission through information extraction and synthesis, but offer comparatively less support for interpretive and creative reading [12] . One mode of such creative reading is the curiosity-driven explora

FAQs

What kinds of insights are provided by collective trace views?

Published and anonymized collective trace views show paths and concentrations of attention across the community. Interactive trace visualizations can coordinate views, replay reading activity, and support discussion of the trace.

Jul 16, 2026

Upload by Eden