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Purohit, Aditya Kumar
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Purohit, Aditya Kumar
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Voici les éléments 1 - 9 sur 9
- PublicationAccès libreDesigning for Digital Wellbeing on a Smartphone: Co-creation of Digital Nudges to Mitigate Instagram Overuse(2023-1-4)
; ;Barev, Torben Jan ;Schöbel, Sofia ;Janson, AndreasThe endless stream of social media newsfeeds and stories captivates users for hours on end, sometimes exceeding what users themselves consider unhealthy. However, reducing one’s social media consumption has proven to be challenging. To address this issue, this study investigates how the co-creation of digital feedback nudge can improve digital well-being without increasing privacy threats. To achieve this goal, a mixed method study is used through a two-week single case experimental design. Results demonstrate that co-creation significantly increased users’ sense of agency, sense of accomplishment and perceived sense of privacy while reducing users’ privacy concern. Furthermore, the feedback nudge allowed participants to significantly decrease their social media use. - PublicationAccès libre
- PublicationAccès libreHarnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices(2023)
;Juan Carlos Farah ;Basile Spaenlehauer ;Sandy Ingram; ; Denis Gillet - PublicationAccès libre
- PublicationRestriction temporairePromoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement(2022)
; ;Farah, Juan ;Martínez, Marc; ; ; ; ;Gillet, Denis - PublicationAccès libreUnhooked by Design: Scrolling Mindfully on Social Media by Automating Digital Nudges(2021-8-9)
; In 2020, over a billion people spent at least three hours a day on social media, primarily engaging in what is described as mindlessly scrolling through their newsfeed. This illustrates the growing societal concern of digital wellbeing and social media addiction. Reducing the time spent on these platforms is challenging since they are designed to be addictive. This paper presents the design and evaluation of a digital nudging intervention that unhooks users from their mindless social media use by making them more mindful. We evaluated the intervention through a two-week single case experimental design (N =20). The findings show that weekly digital consumption was significantly reduced by over 20.58%. The evaluation of the intervention's usability and potential revealed that the intervention made participants mindful of their digital behavior and scored high on usability. Our findings advance how ethical nudges could be self-designed, considering privacy to mitigate social media addiction. - PublicationAccès libreBringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application(2020-9-17)
;Farah, Juan Carlos; ; ; ;Gillet, Denis - PublicationMétadonnées seulementDesigning for Digital Detox: Making Social Media Less Addictive with Digital Nudges(: Association for Computing Machinery, 2020-4-25)
; ;Barclay, LouisSocial media addiction concerns have increased steadily over the past decade. Digital nudges have previously been shown to hold enormous potential to change behavior. However, it is not clear how they might be designed to combat social media addiction. In this late-breaking work, we aim at clarifying this issue by investigating how digital nudges can reduce the addictive features of social media and other addictive sites. More precisely, we present the design of NUDGE, a novel browser extension that aims to make social media less addictive by delivering digital nudges founded on behavioral science. We conducted a preliminary evaluation of NUDGE with 67 actual users and 14 university students. Our results show that NUDGE (1) helped users to become reflective of their social media usage, (2) possibly decreased their time spent, and (3) made the experience more pleasant. - PublicationAccès libreFunctional Digital Nudges: Identifying Optimal Timing for Effective Behavior Change(2019-5-4)
; Digital nudges hold enormous potential to change behavior. Despite the appeal to consider timing as a critical factor responsible for the success of digital nudges, a comprehensive organizing framework to guide the design of digital nudges considering nudge moment is yet to be provided. In this paper, we advance the theoretical model to design digital nudges by incorporating three key components: (1) Identifying the optimal digital nudge moment (2) Inferring this optimal moment and (3) Delivering the digital nudge at that moment. We further discuss the existing work and open research avenues.