Interactive Interventions to Mitigate Cognitive Bias

Conference Paper (2022)
Author(s)

Alisa Rieger (TU Delft - Web Information Systems)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3503252.3534362
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Publication Year
2022
Language
English
Research Group
Web Information Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
316-320
ISBN (electronic)
978-1-4503-9207-5
Event
30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 (2022-07-04 - 2022-07-07), Virtual, Online, Spain
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210
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Abstract

While the web offers a great potential to find and share information, the cognitively demanding conditions of online interactions can leave users vulnerable to cognitive biases, such as the confirmation bias-the tendency to favor information that confirms prior attitudes and beliefs when searching for, selecting, interpreting, sharing, and recalling information. This can negatively impact individuals' decision-making and is likely to drive ideological polarization and extremism. With my dissertation, I am investigating whether and how interactive bias mitigation interventions, with a special focus on confirmation bias, could empower web users in making informed, unbiased, and autonomous choices. Based on my findings and observations, I plan to build a framework of user-and context-adaptive bias mitigation approaches during different kinds of web interactions.

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