Serendipity enhances user engagement and sociality perception: the combinatory effect of serendipitous movie suggestions and user motivations
Jeeyun Oh,
Sabitha Sudarshan,
Jung Ah Lee and
Na Yu
Behaviour and Information Technology, 2022, vol. 41, issue 11, 2324-2341
Abstract:
This study investigates how serendipitous suggestions enhance user engagement with and sociality perceptions of movie recommendation system (RS). We constructed a mock-up recommendation system that provided either serendipitous or personalised movie suggestions to users. Based on the uses and gratifications theory, entertainment and information-seeking motives were hypothesized to moderate the impact of serendipitous suggestions on users’ sociality perceptions of the system. Results from an experiment (N = 161) showed that even though available genres and the perceived recency and accuracy of suggested motives were kept constant across the conditions, the serendipitous suggestions scored higher on the reward dimension of user engagement than the personalized suggestions. Greater user engagement enhanced participants’ sociality perceptions of the system such as being helpful, friendly, and competent. User motives significantly moderated the effects of serendipitous suggestions; entertainment motives boosted the positive impact of serendipity on user engagement and sociality perception, whereas information-seeking motives mitigated its impact.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1921027 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:11:p:2324-2341
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2021.1921027
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().