VLDB 2026 Research / reviewers in the wild / expert
Eunhye Kim 0002
dblp:19/3595-2
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0004-1460-8532ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CrossLit: Connecting Visual and Textual Sensemaking for Literature ReviewabstractConducting literature reviews is cognitively demanding, requiring researchers to navigate large volumes of work while constructing coherent narratives that position their contributions. The process unfolds through iterative stages of sensemaking, each demanding different support. Existing tools emphasize either visual interfaces that provide macroscopic overviews or textual interfaces that support thematic organization and narrative construction. However, keeping modalities separate forces researchers to switch between tools, disrupting workflow continuity. We present CrossLit, a system that integrates and synchronizes visual and textual interfaces to support the entire process from discovering papers to composing coherent narratives. CrossLit allows researchers to group and annotate papers visually while generating aligned textual structures, and to edit text that automatically updates visual representations. We find that CrossLit helps users develop and refine conceptual structures and build narratives iteratively through seamless cross-modal transitions. We conclude by discussing design implications for synchronizing visual and textual interfaces for sensemaking support. Kiroong Choe, Eunhye Kim 0002, Min-Hyeong Kim, Suyeon Hwang, Jinwook Seo |
CHI | 2 |
| 2026 | In-Situ Adaptive Interfaces for Online Browsing: Design Dimensions for Intent-Responsive Automation and User ControlabstractOnline browsing often requires balancing open-ended exploration with focused comparison, yet most interfaces remain static regardless of user focus. Adaptive interfaces offer a way to better align interface presentation with browsing needs, but how such adaptations should be triggered, designed, and controlled in practice remains unclear. We investigate adaptive browsing interfaces that modify information hierarchy, information granularity, and session-based ordering in response to inferred browsing intent. Drawing from a conceptual framework of five adaptation dimensions, we implement ReLay, a browser-based probe that applies lightweight, in-situ adaptations automatically while allowing user overrides. In a two-phase study (n = 10), participants welcomed adaptive changes when they were transparent, consistent, and easily reversible. Users approached control as calibration rather than error correction, verifying system behavior before relying on it. These findings illustrate how intent-responsive, controllable adaptation can support browsing without diminishing user agency. Our work contributes (1) a conceptual framework for adaptive interface behaviors in online browsing, (2) an instantiation of the framework through three selected dimensions, and (3) empirical insights into user acceptance, control, and design implications for adaptive browsing systems. Eunhye Kim 0002, Sadat Shams Chowdhury, Hyungwoo Song, Bongwon Suh |
IUI | 1 |
| 2025 | BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
Yoonseo Choi, Eunhye Kim 0002, Donghyun Park, Honggu Lee, Juho Kim 0001 |
UIST | 2 |