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Playing mind gamification: Theoretical evidence of addictive nature of gamification and identification of addictive game elements used in mobile application design
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. (UXD22-13)
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. (UXD22-13)
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Gamification is a modern concept that makes physical and digital activities engaging and enjoyable just like games. Game elements are added to mobile applications for user retention and engagement. One of the dark sides of gamification i.e., addiction is explored in this novel study in the context of mobile application design. It uses a mixed-method approach to lay the foundation of the relation between gamification and Smartphone Addiction, which is critically explained in a limited literature review using existing theories and studies on gamification. Interviews with behavioral experts confirm the psychological aspects of the research. The study also identifies game elements that contribute to smartphone addiction by a survey analysis of 269 participants. Results reveal Scrolling and Tapping as most addictive game elements. Some elements also show a statistically significant relationship with daily smartphone usage in hours. There are many effective applications of gamification, and in the context of mobile application design, it indeed helps to increase user engagement, however, there is an ethical need to reflect on what the exaggerated form of this engagement can lead to. As future research, a longitudinal study and experiments are suggested to find out this relationship with the use of empirical data.

Place, publisher, year, edition, pages
2022. , p. 78
Keywords [en]
Gamification, addiction, game elements, Self- Determination Theory (SDT), Smartphone Addiction (SA), Intrinsic Motivation (IM), Extrinsic Motivation (EM), Flow, Five-Factor Model (FFM)/Big Five Model, Hexad framework
National Category
Human Computer Interaction Computer Sciences Other Computer and Information Science
Identifiers
URN: urn:nbn:se:hj:diva-57481ISRN: JU-JTH-IKA-2-20220240OAI: oai:DiVA.org:hj-57481DiVA, id: diva2:1673918
Subject / course
JTH, Informatics
Presentation
2022-06-10, Online, 11:00 (English)
Supervisors
Examiners
Available from: 2022-06-22 Created: 2022-06-21 Last updated: 2022-06-22Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf