Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19341
Title: Workshop on detection and design for cognitive biases in people and computing systems
Authors: Dingler, Tilman 
Tag, Benjamin 
Karapanos, Evangelos 
Kise, Koichi 
Dengel, Andreas 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Cognition-aware systems;Cognitive biases;System bias
Issue Date: Apr-2020
Source: Workshop on Detection and Design for Cognitive Biases in People and Computing Systems, 25-30 April 2020, Honolulu, United States
Conference: Workshop on Detection and Design for Cognitive Biases in People and Computing Systems 
Abstract: With social computing systems and algorithms having been shown to give rise to unintended consequences, one of the suspected success criteria is their ability to integrate and utilize people's inherent cognitive biases. Biases can be present in users, systems and their contents. With HCI being at the forefront of designing and developing user-facing computing systems, we bear special responsibility for increasing awareness of potential issues and working on solutions to mitigate problems arising from both intentional and unintentional effects of cognitive biases. This workshop brings together designers, developers, and thinkers across disciplines to redefine computing systems by focusing on inherent biases in people and systems and work towards a research agenda to mitigate their effects. By focusing on cognitive biases from content or system as well as from a human perspective, this workshop will sketch out blueprints for systems that contribute to advancing technology and media literacy, building critical thinking skills, and depolarization by design.
URI: https://hdl.handle.net/20.500.14279/19341
ISSN: 978-1-4503-6819-3
DOI: 10.1145/3334480.3375159
Rights: © Owner/Author.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : University of Melbourne 
Cyprus University of Technology 
Osaka Prefecture University 
German Research Center for Artificial Intelligence 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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