Abstract
Cognitive bias research is an interesting and challenging scientific area. Nevertheless, it is not entirely clear to what extent it is applicable to visual analytics. Visual analytics systems support reasoning processes in ill-structured domains with large amounts of data. It is difficult to apply cognitive bias research from laboratory studies based on a minimal amount of information to this area. In this chapter, an alternative approach for bias mitigation is suggested: providing context and activate background knowledge. Advantages and limitations of this approach are discussed.
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Acknowledgements
The research reported in this paper has received funding from the European Union 7th Framework Programme FP7/2007–2013, through the VALCRI project under grant agreement no. FP7-IP-608142, awarded to B. L. William Wong, Middlesex University London, and Partners.
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Pohl, M. (2018). Cognitive Biases in Visual Analytics—A Critical Reflection. In: Ellis, G. (eds) Cognitive Biases in Visualizations. Springer, Cham. https://doi.org/10.1007/978-3-319-95831-6_13
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DOI: https://doi.org/10.1007/978-3-319-95831-6_13
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