CARE-HCI: An Interactive Visualisation for Relationally Exploring Literature
(Melody) Zixuan Wang, Shengchen Zhang, Xinhuan Shu
Abstract
We present CARE-HCI, an interactive visualisation tool built to support literature exploration, stemming from the needs during our own review process. By integrating paper data and citation relationships with timeline and graph-based overviews, it offers researchers an intuitive way to visually navigate and make sense of a body of literature. At NordiCHI, attendees will be invited to explore two roles of the tool. First, its communicative role post-publication, demonstrated by the website from our prior literature review. Second, its analytical role during the review process, demonstrated via a tailored version where attendees can position NordiCHI proceedings on a shared canvas and shape a collaborative understanding of the field. Through this hands-on experience, we aim to spark conversations about the sense-making process during literature reviews, the communication and maintenance after review publication, and to explore the broader potential of tools supporting ongoing, collaborative approaches to synthesising research.
Cite as
Shengchen Zhang, Meiying Li, (Melody) Zixuan Wang, Xiaohua Sun, and Weiwei Guo. 2026. Exploring Strategies for Conceptual Alignment in LLM-Based Human-Robot Dialogue. In Proceedings of the 14th Nordic Conference on Human-Computer Interaction (NordiCHI ’26), October 03–07, 2026, Vaasa, Finland. ACM, New York, NY, USA, 17 pages. https://doi.org/10.1145/3829807.3829893