Interactive Interventions to Mitigate Cognitive Bias

Alisa Rieger

doi:10.1145/3503252.3534362

Interactive Interventions to Mitigate Cognitive Bias

^*Corresponding author for this work

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery (ACM)
Pages	316-320
Number of pages	5
ISBN (Electronic)	978-1-4503-9207-5
DOIs	https://doi.org/10.1145/3503252.3534362
Publication status	Published - 2022
Event	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain Duration: 4 Jul 2022 → 7 Jul 2022

Publication series

Name	UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
Country/Territory	Spain
City	Virtual, Online
Period	4/07/22 → 7/07/22

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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3503252.3534362

3503252.3534362Final published version, 863 KB

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Rieger, A. (2022). Interactive Interventions to Mitigate Cognitive Bias. In UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 316-320). (UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery (ACM). https://doi.org/10.1145/3503252.3534362

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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.",

author = "Alisa Rieger",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ; 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 ; Conference date: 04-07-2022 Through 07-07-2022",

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Rieger, A 2022, Interactive Interventions to Mitigate Cognitive Bias. in UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery (ACM), pp. 316-320, 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022, Virtual, Online, Spain, 4/07/22. https://doi.org/10.1145/3503252.3534362

Interactive Interventions to Mitigate Cognitive Bias. / Rieger, Alisa.

UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2022. p. 316-320 (UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Interactive Interventions to Mitigate Cognitive Bias

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

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