COCTEAU: an Empathy-Based Tool for Decision-Making

Andrea Mauri, Andrea Tocchetti, Lorenzo Corti, Yen Chia Hsu, Himanshu Verma, Marco Brambilla

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationWWW 2022 - Companion Proceedings of the Web Conference 2022
PublisherAssociation for Computing Machinery (ACM)
Pages219-222
Number of pages4
ISBN (Electronic)9781450391306
DOIs
Publication statusPublished - 2022
Event31st ACM Web Conference, WWW 2022 - Virtual, Online, France
Duration: 25 Apr 2022 → …

Publication series

NameWWW 2022 - Companion Proceedings of the Web Conference 2022

Conference

Conference31st ACM Web Conference, WWW 2022
Country/TerritoryFrance
CityVirtual, Online
Period25/04/22 → …

Keywords

  • Crowdsourcing
  • decision-making
  • empathy
  • gamification
  • human-centered computing

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