The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking

TitleThe Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking
Publication TypeConference Paper
Year of Publication2018
AuthorsWenskovitch, J, Dowling, M, North, C
Conference NameCHI '18 Workshop on Sensemaking in a Senseless World
Date Published04/2018
Conference LocationMontreal, QC, Canada
Keywordsclustering, exploratory data analysis, interaction, sensemaking, tasks, visualization
Abstract

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.