Work

VisQuestions: Constructing Evaluations for Communicative Visualizations

Year: 2025

Type: conference-paper

Abstract: Communicative visualization designers devote few resources to evaluating their designs.Although general guidelines may guide them, the uniqueness of each communicative visualization makes evaluation challenging.Recent research has suggested that modeling designer intents as learning objectives can guide the construction of evaluative assessments.In this paper, we present VisQuestions, a system that streamlines the creation of multiple-choice questions for visualization evaluation.Using source material (e.g.,

Source: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/3706599.3719832

Authors: Ruijia Guan, Elsie Lee-Robbins, Xu Wang, Eytan Adar

Institution: University of Michigan

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: CHS: Small: Using Learning Objectives for Visualization Design