Scrolling in the Deep: Analysing Contextual Influences on Intervention Effectiveness during Infinite Scrolling on Social Media

要旨

Infinite scrolling on social media platforms is designed to encourage prolonged engagement, leading users to spend more time than desired, which can provoke negative emotions. Interventions to mitigate infinite scrolling have shown initial success, yet users become desensitized due to the lack of contextual relevance. Understanding how contextual factors influence intervention effectiveness remains underexplored. We conducted a 7-day user study (N=72) investigating how these contextual factors affect users' reactance and responsiveness to interventions during infinite scrolling. Our study revealed an interplay, with contextual factors such as being at home, sleepiness, and valence playing significant roles in the intervention's effectiveness. Low valence coupled with being at home slows down the responsiveness to interventions, and sleepiness lowers reactance towards interventions, increasing user acceptance of the intervention. Overall, our work contributes to a deeper understanding of user responses toward interventions and paves the way for developing more effective interventions during infinite scrolling.

著者
Luca-Maxim Meinhardt
Institute of Media Informatics, Ulm, Germany
Maryam Elhaidary
Universität Ulm, Ulm, Baden-Württemberg, Germany
Mark Colley
Ulm University, Ulm, Germany
Michael Rietzler
Institute of Mediainformatics, Ulm, Germany
Jan Ole Rixen
Institute of Media Informatics, Ulm, Germany
Aditya Kumar Purohit
Center for Advanced Internet Studies (CAIS), Bochum, North Rhine-Westphalia, Germany
Enrico Rukzio
University of Ulm, Ulm, Germany
DOI

10.1145/3706598.3713187

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713187

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Social Media and Online Influence

Annex Hall F203
7 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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