Smartphone interaction and survey data as predictors of Snapchat usage

Noe, Beryl, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913 2019. Smartphone interaction and survey data as predictors of Snapchat usage. Presented at: UbiComp 2019, London, UK, 9-10 Sept 2019. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. pp. 438-445. 10.1145/3341162.3349298

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Abstract

Snapchat is a highly popular smartphone app that allows personalised multimedia communication for spontaneous experiences, where the shared content disappears after a short period of time. In this paper, we examine the predictors of Snapchat usage based on a range of data collected through surveys and from interaction with the handset, using a cohort of 64 recruited participants. The results show that age, Smartphone Addiction, happiness and the use of the popular chatting apps WhatsApp and Facebook Messenger are significant predictors for Snapchat usage. We discuss the implications of these findings against the related literature, and also against the design of the app itself.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
ISBN:	9781450368698
Date of First Compliant Deposit:	30 October 2019
Last Modified:	24 Nov 2023 07:21
URI:	https://orca.cardiff.ac.uk/id/eprint/126028

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