The Evolving Duet of Two Modalities: A Survey on Integrating Text and Visualization for Data Communication

要旨

Text plays a fundamental yet understudied role as a narrative device in data visualization. While existing research has extensively explored text as data input and interaction modality, its function in supporting storytelling and interpretation remains fragmented. To address this gap, this work presents a systematic review of 98 publications that provide insights into using text as narrative. We investigate how text can be utilized in visualization, analyze its functions and effects, and explore how it can be designed to facilitate data communication. Our synthesis identifies significant research gaps in this domain and proposes future directions to advance the integration of text and visualization, ultimately aiming to provide guidance for designing text that enhances narrative clarity and fosters engagement.

受賞
Honorable Mention
著者
Xingyu Lan
Fudan University, Shanghai, Shanghai, China
Xi Li
AntGroup, Shanghai, Shanghai, China
Yixing Zhang
Fudan University, Shanghai, China
Mengqin Cheng
School of Data Science, Fudan University, Shanghai, China
Jiazhe Wang
Ant Group, Shanghai, China
Siming Chen
Fudan University, Shanghai, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Designing Data Visualizations

P1 - Room 125
7 件の発表
2026-04-14 20:15:00
2026-04-14 21:45:00