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Bridging the Divide: Unraveling the Knowledge Gap in Data Visualization Research and Practice

14 October 2023
Nam Wook Kim
Grace Myers
Jinhan Choi
Yoonsuh Cho
Changhoon Oh
Yea-Seul Kim
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Abstract

Empirical research on perception and cognition has laid the foundation for visualization design, often yielding useful design guidelines for practitioners. However, it remains uncertain how well practitioners stay informed about such crucial visualization design knowledge. In this paper, we employed a mixed-method approach to explore the knowledge gap between visualization research and real-world design guidelines. We initially collected existing design guidelines from various sources and empirical studies from diverse publishing venues, analyzing their alignment and uncovering missing links and inconsistent knowledge. Subsequently, we conducted surveys and interviews with practitioners and researchers to gain further insights into their experiences and attitudes towards design guidelines and empirical studies, and their views on the knowledge gap between research and practice. Our findings highlight the similarities and differences in their perspectives and propose strategies to bridge the divide in visualization design knowledge.

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