TY - CONF T1 - The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking T2 - CHI '18 Workshop on Sensemaking in a Senseless World Y1 - 2018 A1 - Wenskovitch, John A1 - Michelle Dowling A1 - North, Chris KW - clustering KW - exploratory data analysis KW - interaction KW - sensemaking KW - tasks KW - visualization AB - The cognitive process of sensemaking refers to acquiring, representing, and organizing information in order to understand that information. The organization component naturally supports the introduction of clusters, an important enabler for grouping objects such that similar objects are placed in the same cluster. This paper explores the benefits and limitations of introducing clusters into systems for exploratory data analysis. We consider these issues for tasks that the system may support, methods for visualizing and interacting with data in the system, and algorithms that are encoded into the system. We discuss the use of clusters in these systems with respect to cognition and computation, and we call out future areas of research in this area. JF - CHI '18 Workshop on Sensemaking in a Senseless World CY - Montreal, QC, Canada ER -