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    Self-control, goal interference, and the binge-watching experience: An event reconstruction study


    Lades, Leonhard K. and Barbett, Lea and Daly, Michael and Dombrowski, Stephan U. (2022) Self-control, goal interference, and the binge-watching experience: An event reconstruction study. Computers in Human Behavior Reports, 7. p. 100220. ISSN 24519588

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    Official URL: https://doi.org/10.1016/j.chbr.2022.100220


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    Abstract

    High-speed internet connections and online streaming services gave rise to the possibility to binge-watch multiple television shows in one sitting. Binge-watching can be characterized as a problematic behavior but also as an enjoyable way to engage with television shows. This study investigates whether self-control explains the valence of binge-watching experiences as measured using the event reconstruction method. The study tests whether lower levels of trait self-control predict higher levels of negative affect and lower levels of positive affect during binge-watching. Additionally, the study tests whether these relationships are mediated by situational aspects of self-control (plans, goal interference, or automaticity). Regression analyses show that participants with higher trait self-control report lower levels of tiredness, boredom, guilt, and sadness when binge-watching compared to less self-controlled participants. These associations are partly explained by binge-watching interfering less with higher order goals for highly self-controlled participants. Lower levels of trait self-control are also associated with a stronger increase in happiness on initiating binge-watching and increased feelings of guilt after binge-watching. Overall, the study suggests that binge-watching is particularly pleasant when it does not interfere with other goals, which is more likely the case for individuals with high trait self-control.

    Item Type: Article
    Keywords: Binge-watching; Self-control; Subjective well-being; Event reconstruction method;
    Academic Unit: Faculty of Science and Engineering > Psychology
    Item ID: 19144
    Identification Number: https://doi.org/10.1016/j.chbr.2022.100220
    Depositing User: Michael Daly
    Date Deposited: 04 Nov 2024 12:03
    Journal or Publication Title: Computers in Human Behavior Reports
    Publisher: Elsevier
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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