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Human-AI Interaction for Visualization and Visual Analytics

delete2025-11-01
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PRE
AI
W
Wei Zeng *
H
Hongbo Fu
N
Nanxuan Zhao
R
Remco Chang
DOI:10.1109/MCG.2025.3606311delete
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Abstract

Abstract

En 中文
Human-artificial intelligence (AI) interaction (HAI) has emerged as a transformative paradigm in visualization and visual analytics, leveraging both strengths of human expertise, creativity, and iterative refinement. This special issue examines the collaborative potential of HAI, emphasizing how synergistic human-AI partnerships can redefine analytical workflows, enhance trust, and address limitations of fully automated methods. Featuring six accepted articles, this special issue advances our understanding of HAI in visualization through novel theoretical frameworks, empirical studies, and innovative system designs. Collectively, the contributions bridge human ingenuity with AI capabilities and chart directions for future research.

Journal

I
IEEE Computer Graphics and Applications
IF:
1.4
Papers:
57
Citations:
0

Organization

A
adobe systems inc.
Scholars:
273
Papers: 305
Citations: 0
T
tufts university
Scholars:
1.7W
Papers: 1.5W
Citations: 24
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Cited Papers

Cited Papers

Guidelines for Human-AI Interaction
err2019-05-02
err0
PREAI
errSaleema Amershi; Dan Weld; Mihaela Vorvoreanu; Adam Fourney; Besmira Nushi; Penny Collisson; Jina Suh; Shamsi Iqbal; Paul N. Bennett; Kori Inkpen; Jaime Teevan; Ruth Kikin-Gil; Eric Horvitz
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