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Computer Science > Human-Computer Interaction

arXiv:2204.06289 (cs)
[Submitted on 13 Apr 2022]

Title:COCTEAU: an Empathy-Based Tool for Decision-Making

Authors:Andrea Mauri, Andrea Tocchetti, Lorenzo Corti, Yen-Chia Hsu, Himanshu Verma, Marco Brambilla
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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.
Comments: accepted at Posters and Demos Track at The Web Conference 2022 (WWW 2022)
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2204.06289 [cs.HC]
  (or arXiv:2204.06289v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2204.06289

Submission history

From: Yen-Chia Hsu [view email]
[v1] Wed, 13 Apr 2022 10:38:17 UTC (3,111 KB)
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