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Wenwen Dou: Investigating the impact of cognitive biases on exploratory visual analysis
December 1, 2017 | 12:00 pm
Wenwen Dou, an Assistant Professor in the department of Computer Science at the University of North Carolina at Charlotte, will deliver her talk, ‘Investigating the impact of cognitive biases on exploratory visual analysis,’ on Friday, Dec. 1, at 12:00 p.m. in Manning Hall 001 as a SILS CRADLE talk.
Abstract: Humans have the tendency to rely on heuristics to make judgments, which can lead to efficient and accurate decisions. However, these heuristics may also lead to systematic errors known as cognitive biases. Psychologists have long studied the presence of cognitive biases in human decision-making process. In this talk, I will present studies that investigate the impact of two types of cognitive biases on decision making with visual analytic systems. The first study focuses on anchoring bias; specifically, how “visual anchors” affect the decision-making processes and outcomes with the task of identifying protest-related events from Twitter data. The second study focuses on the impact of confirmation bias on exploratory visual analysis, and was conducted in the application domain of investigating misinformation in social media. I will introduce the study design, the data collection and analysis methods for identifying biased behaviors during exploratory visual analysis. I will conclude the talk with our thoughts on challenges and future research plans on computationally modeling the impact of cognitive biases in visual analytics.
Bio: Wenwen Dou is an assistant professor in the department of Computer Science at the University of North Carolina at Charlotte. Her research interests include Visual Analytics, Text Mining, and Human Computer Interaction. In particular, her research lies at the intersection of interactive visualization and text mining, with the specific area referred to as Visual Text Analytics. Dou has worked with various analytics domains in reducing information overload and providing interactive visual means to analyzing unstructured information. She has experience in turning cutting-edge research into technologies that have broad societal impacts, partially demonstrated by supports from both academic and industry partners, including the Pacific Northwest National Laboratory, US Army Research Office, US Special Operations Command, National Science Foundation, US Army Engineering Research and Development Center, and Lowe’s Company Inc.
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