Making and Trusting Decisions in Visual Analytics

Abstract

Decision making and trust have both become rising topics in the research community of Visual Analytics (VA). Many efforts have been made to understand and facilitate making decisions with VA, as well as build and calibrate trust. However, previous research largely took VA as a tool to facilitate decision making, but did not explore the possibility to dissect each analytical step in VA as decision making and discuss how decision making theories can be utilized to improve the trustworthiness of decisions in VA. Therefore, this paper instead proposes such alternative take on the relation between decision making and VA, inspects the processes of visually analyzing data as decision making, and discusses how to leverage decision making theories to facilitate trustworthy decision making in VA.