Abstract:
Decision making under uncertainty can lead to irrational behaviour; such errors are often being referred to as cognitive biases. Related work in this area has tended to focus on the human’s analytic and sensemaking processes. This paper puts forward a novel perspective on this, proposing that some cognitive biases can also occur in the process of viewing visualisations. Consequently, this source of error may have a negative impact on decision making. This paper presents examples of situations where cognitive biases in visualisation can occur and outlines a future user study to investigate the anchoring and adjustment cognitive biases in visualisation.
keywords – Cognitive bias, visualisation, decision making, uncertainty
Keywords—graphical inference, confirmation bias, spatial data analysis
]]>Abstract:
The purpose of the VALCRI project is to develop a new system prototype for information exploitation by intelligence analysts working in law enforcement agencies. Information visualisation will be a core element of the prototype. Such systems have to be designed to support the sensemaking and reasoning processes of the analysts. One of the goals of the project is, therefore, to get a more thorough understanding of sensemaking processes and to develop a set of recommendations for the design of intelligence analysis systems to help analysts in their work.
keywords: cognition;data analysis;data visualisation;inference mechanisms;VALCRI project;cognitive bias mitigation;information exploitation;information visualisation;intelligence analysis systems;intelligence analysts;law enforcement agencies;reasoning process;sensemaking process;visual analytics;Artificial intelligence;Cognition;Context;Data visualization;Educational institutions;Law enforcement;Prototypes;human cognitive processes;intelligence analysis;sensemaking,
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