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De Santo, Alessio
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De Santo, Alessio
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- PublicationAccès libre
- PublicationRestriction temporairePromoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement(2022)
; ;Farah, Juan ;MartÃnez, Marc; ; ; ; ;Gillet, Denis - PublicationMétadonnées seulement
- PublicationMétadonnées seulementInteracting with Linked Data: A Survey from the SIGCHI Perspective(2020-4-27)
; The Semantic Web can be defined as an extension of the current Web, in which data is given well-defined meaning, better-enabling computers and people to work together. Linked Data (LD) has been envisioned as an essential element for the Semantic Web, listing a set of best practices for publishing and connecting structured data on the Web. Enabling humans to interact with this data is a crucial and challenging step to bring the Semantic Web forward. In order to better understand how the Human-Computer Interaction community has contributed to this effort, this late-breaking work presents a review focusing on the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) venues. Our findings show that despite LD being a topic of interest to a variety of stakeholders, there are missing possibilities for end-users to query, browse and visualize LD, underlying the need for further investigations. - PublicationAccès libreAssessing Digital Support for Smoking Cessation(2019-12-9)
; Tobacco still kills more than 7 million people each year. Research points to several evidence-based interventions to support smoking cessation which, if applied widely, could considerably reduce premature deaths. There is a huge range of mobile apps targeting this concern, which could potentially be powerful catalysts to provide this support. Yet it is unclear how much of their design is evidence-based and how effective they are. To address this issue, this paper provides an analysis of 99 popular smoking cessation apps. The results show that only two apps come from a credible source, provide support for user engagement through advanced motivational affordances and have been evaluated for efficacy.