2021/01/26 by Andrew McNutt, Ravi Chugh · 36 citations
Computer Science · Social Sciences · #Artificial intelligence #Computer science #Data Visualization and Analytics #Human–computer interaction #Multimedia Communication and Technology #Programming language #Set (abstract data type) #Software engineering #Template #Video Analysis and Summarization #Visualization #cs.HC
paper · pdf · doi:10.1145/3411764.3445356
published as CHI Conference on Human Factors in Computing Systems (CHI '21), May 8-13, 2021, Yokohama, Japan · 14 pages, 8 Figures, and a 4 page supplement with 4 figures and 1 table
arxiv created 2021/01/26 · arxiv updated 2021/01/27 · openalex publication_date 2021/05/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Interfaces for creating visualizations typically embrace one of several common forms. Textual specification enables fine-grained control, shelf building facilitates rapid exploration, while chart choosing promotes immediacy and simplicity. Ideally these approaches could be unified to integrate the user- and usage-dependent benefits found in each modality, yet these forms remain distinct.