TY - JOUR
T1 - Grand Challenges in Visual Analytics Applications
AU - Wu, Aoyu
AU - Deng, Dazhen
AU - Chen, Min
AU - Liu, Shixia
AU - Keim, Daniel
AU - MacIejewski, Ross
AU - Miksch, Silvia
AU - Strobelt, Hendrik
AU - Viegas, Fernanda
AU - Wattenberg, Martin
N1 - Publisher Copyright:
© 1981-2012 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - In the past two decades, research in visual analytics (VA) applications has made tremendous progress, not just in terms of scientific contributions, but also in real-world impact across wide-ranging domains including bioinformatics, urban analytics, and explainable AI. Despite these success stories, questions on the rigor and value of VA application research have emerged as a grand challenge. This article outlines a research and development agenda for making VA application research more rigorous and impactful. We first analyze the characteristics of VA application research and explain how they cause the rigor and value problem. Next, we propose a research ecosystem for improving scientific value, and rigor and outline an agenda with 12 open challenges spanning four areas, including foundation, methodology, application, and community. We encourage discussions, debates, and innovative efforts toward more rigorous and impactful VA research.
AB - In the past two decades, research in visual analytics (VA) applications has made tremendous progress, not just in terms of scientific contributions, but also in real-world impact across wide-ranging domains including bioinformatics, urban analytics, and explainable AI. Despite these success stories, questions on the rigor and value of VA application research have emerged as a grand challenge. This article outlines a research and development agenda for making VA application research more rigorous and impactful. We first analyze the characteristics of VA application research and explain how they cause the rigor and value problem. Next, we propose a research ecosystem for improving scientific value, and rigor and outline an agenda with 12 open challenges spanning four areas, including foundation, methodology, application, and community. We encourage discussions, debates, and innovative efforts toward more rigorous and impactful VA research.
UR - http://www.scopus.com/inward/record.url?scp=85171368262&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85171368262&partnerID=8YFLogxK
U2 - 10.1109/MCG.2023.3284620
DO - 10.1109/MCG.2023.3284620
M3 - Article
C2 - 37713213
AN - SCOPUS:85171368262
SN - 0272-1716
VL - 43
SP - 83
EP - 90
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
IS - 5
ER -