A techno-psychological approach to understanding problematic use of short-form video applications: The role of flow
Huang Q, Hu M, Zhang N
Frontiers in psychology · 14 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- No health outcome
Who paid for it
- Funding
- Independent funding
- University or hospital
- Zhejiang University
- Government
- Fundamental Research Funds for the Central Universities
Based on 2 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2022-08-17 · Front Psychol · vol. 13 · p. 971589
- Publisher
- Frontiers Media
- Cited
- 47 citations · more than 97% of similar papers · 6.8× the field average
- Impact
- Top 10% most cited in its field
- References
- 91 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Flow Experience in Various Fields · Impact of Technology on Adolescents · Virtual Reality Applications and Impacts
- Keywords
- flow, technology affordances, algorithmic recommendation, multimodality, stimulus-organism-response model, mobile application, digital addiction, mediation model
3 authors
From CN
- Qing HuangZhejiang University
- Mingxin HuZhejiang University
- Ning Zhang · correspondingSecond Affiliated Hospital of Zhejiang University
Abstract
Short-form video applications (SVAs) have been gaining increasing popularity among users, which has raised the concern of problematic SVA use. Flow-a positive experience in which individuals feel immersion, enjoyment, temporal dissociation, and curiosity-contributes to the development of problematic SVA use. Most of the prior research examined the motivations of flow and the self-traits that trigger flow, but paid limited attention to the technological affordances of smartphone applications that facilitate users' flow. Algorithm recommendation, multimodality, and low-cost interaction are three affordances of SVAs. Thus, drawing upon the stimulus-organism-response (S-O-R) framework, this study proposes a mediation model to examine how these affordances influence problematic SVA use through flow. An online survey (N = 621) showed that algorithm recommendation was negatively associated with problematic SVA use but was not significantly correlated to flow. Multimodality was directly and positively associated with problematic SVA use. Meanwhile, the relationship between these two variables were mediated by flow. Low-cost interaction had an indirect link with problematic SVA use via flow, while the direct link between them was not significant. The results suggest that low-cost interaction is the affordance that is most likely to trigger flow and problematic SVA use, followed by multimodality. However, algorithm recommendation seems to be an affordance that is less likely to facilitate flow or cause problematic SVA use. Our proposed model not only enriches the S-O-R framework in the digital environment, but also denotes a techno-psychological approach to examine problematic use of SVAs and other digital applications. Moreover, the findings offer practical implications for optimizing SVAs' technological affordances to properly manage problematic SVA use.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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