Print Email Facebook Twitter COCTEAU Title COCTEAU: an Empathy-Based Tool for Decision-Making Author Mauri, A. (TU Delft Human-Centred Artificial Intelligence) Tocchetti, A. (TU Delft Web Information Systems; Politecnico di Milano) Corti, L. (TU Delft Web Information Systems) Hsu, Y. (TU Delft Human-Centred Artificial Intelligence) Verma, H. (TU Delft Human-Centred Artificial Intelligence) Brambilla, Marco (Politecnico di Milano) Date 2022 Abstract Traditional approaches to data-informed policymaking are often tailored to specific contexts and lack strong citizen involvement and collaboration, which are required to design sustainable policies. We argue the importance of empathy-based methods in the policymaking domain given the successes in diverse settings, such as healthcare and education. In this paper, we introduce COCTEAU (Co-Creating The European Union), a novel framework built on the combination of empathy and gamification to create a tool aimed at strengthening interactions between citizens and policy-makers. We describe our design process and our concrete implementation, which has already undergone preliminary assessments with different stakeholders. Moreover, we briefly report pilot results from the assessment. Finally, we describe the structure and goals of our demonstration regarding the newfound formats and organizational aspects of academic conferences. Subject Crowdsourcingdecision-makingempathygamificationhuman-centered computing To reference this document use: http://resolver.tudelft.nl/uuid:33c4f4d5-7d28-41f1-97b9-6a880cb86071 DOI https://doi.org/10.1145/3487553.3524233 Publisher Association for Computing Machinery (ACM) ISBN 9781450391306 Source WWW 2022 - Companion Proceedings of the Web Conference 2022 Event 31st ACM Web Conference, WWW 2022, 2022-04-25 → , Virtual, Online, France Series WWW 2022 - Companion Proceedings of the Web Conference 2022 Part of collection Institutional Repository Document type conference paper Rights © 2022 A. Mauri, A. Tocchetti, L. Corti, Y. Hsu, H. Verma, Marco Brambilla Files PDF 3487553.3524233.pdf 2.72 MB Close viewer /islandora/object/uuid:33c4f4d5-7d28-41f1-97b9-6a880cb86071/datastream/OBJ/view