Hossain, Elahi;
(2024)
BreakBOT: Supporting Healthy Social Media Breaks Through the Design of a Digital Emotion Regulation Chatbot.
Doctoral thesis (Ph.D), UCL (University College London).
Preview |
Text
PhD_thesis_Elahi_Hossain_e-thesis_version.pdf - Other Download (12MB) | Preview |
Abstract
Students use social media (SM) as a digital break from studying. Concerns have been raised that these breaks harm academic performance and well-being by acting as a form of procrastination. Counterevidence suggests they can also act as a form of recovery that positively supports performance and well-being. It is currently unclear how SM can be used as a healthy rather than unhealthy break. This thesis takes a research-through design approach drawing on behavioural frameworks and an emotion-regulation perspective to investigate how SM can support students in taking healthy breaks from studying. Four studies were conducted. Study 1 used qualitative methods to investigate what characterises a healthy and unhealthy social media break from a behavioural and emotion-regulation perspective. Study 2 was a systematic review of past emotion-regulation literature to synthesise design guidelines for developing technologies supporting healthy SM breaks and reducing unhealthy ones. Study 3 involved co-design workshops with undergraduates in ideating and developing a chatbot prototype (BreakBOT) that implements emotion-regulation design guidelines to support taking healthy SM breaks. Study 4 used a mixed-methods approach to explore undergraduates’ experience using BreakBOT in-the-wild. This thesis provides a set of contributions (theoretical, empirical, design) that advance our understanding of students’ SM break-taking behaviour and how we can design systems from an emotion-regulation perspective to support them taking healthy rather than unhealthy breaks when studying.
Type: | Thesis (Doctoral) |
---|---|
Qualification: | Ph.D |
Title: | BreakBOT: Supporting Healthy Social Media Breaks Through the Design of a Digital Emotion Regulation Chatbot |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10195463 |
Archive Staff Only
View Item |