Human-computer interaction tools with gameful design for critical thinking the media ecosystem: a classification framework

Musi, Elena ORCID: 0000-0003-2431-455X, Federico, Lorenzo and Riotta, Gianni (2022) Human-computer interaction tools with gameful design for critical thinking the media ecosystem: a classification framework. AI & SOCIETY. pp. 1-13.

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Official URL: http://dx.doi.org/10.1007/s00146-022-01583-z

Abstract

In response to the ever-increasing spread of online disinformation and misinformation, several human-computer interaction tools to enhance data literacy have been developed. Among them, many employ elements of gamification to increase user engagement and reach out to a broader audience. However, there are no systematic criteria to analyze their relevance and impact for building fake news resilience, partly due to the lack of a common understanding of data literacy. In this paper we put forward an operationalizable definition of data literacy as a form of multidimensional critical thinking. We then survey 22 existing tools and classify them according to a framework of 10 criteria pointing to their gameful design and educational features. Through a comparative/contrastive analysis informed by a focus group, we provide a principled set of guidelines to develop more efficient human-computer interaction tools to teach how to critically think in the current media ecosystem.

Item Type:	Article
Uncontrolled Keywords:	Fake news, Human-computer interaction, Critical thinking, Data literacy
Depositing User:	Symplectic Admin
Date Deposited:	01 Nov 2022 16:19
Last Modified:	18 Jan 2023 19:48
DOI:	10.1007/s00146-022-01583-z
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3165930