@inproceedings{33c4f4d57d2841f197b96a880cb86071,
title = "COCTEAU: an Empathy-Based Tool for Decision-Making",
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. ",
keywords = "Crowdsourcing, decision-making, empathy, gamification, human-centered computing",
author = "Andrea Mauri and Andrea Tocchetti and Lorenzo Corti and Hsu, {Yen Chia} and Himanshu Verma and Marco Brambilla",
year = "2022",
doi = "10.1145/3487553.3524233",
language = "English",
series = "WWW 2022 - Companion Proceedings of the Web Conference 2022",
publisher = "Association for Computing Machinery (ACM)",
pages = "219--222",
booktitle = "WWW 2022 - Companion Proceedings of the Web Conference 2022",
address = "United States",
note = "31st ACM Web Conference, WWW 2022 ; Conference date: 25-04-2022",
}