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Extracting factors of physical activity tracking technology using wordcloud and relevancy ranking

Wanichavorapong, N. and Che Hussin, A. R. and Yusof, A. F. and Samsuryadi, Samsuryadi (2019) Extracting factors of physical activity tracking technology using wordcloud and relevancy ranking. In: International Conference on Information System, Computer Science and Engineering 2018, ICONISCSE 2018, 26-27 Nov 2018, Palembang, Indonesia.

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Official URL: http://www.dx.doi.org/10.1088/1742-6596/1196/1/012...

Abstract

In eHealth, physical activity (PA) tracking technology can assist people in monitoring their PAs. However, continuance usage is the cornerstone of PA product success; otherwise it is a failure. There is limited knowledge of IS continuance in this domain called PA tracking devices and apps with social media (PATT-SM). The purpose of this study is to analyze the factors that drive users to continue using PATT-SM. From literature, 33 prior studies were found to have included 315 variables in research. This study uses Wordcloud as to pinpoint which variables are to be highlighted. There are 19 variables in Wordcloud that received higher hits than others and these variables are ranked the importance based on experienced users. Then, the top ranks are used to form a model for further analysis on their impact on continuance intention (CI). The first 10 variables are Health Consciousness, Perceived Ease of Use, Privacy Concerns and Security, Habit, Perceived Value, Facilitating Conditions, Social Support, Price, Attitude, and Hedonic. The identified variables can be grouped as cognitive belief, value, social, and health related.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:cognitive beliefs, continuance intentions, continuance usages
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:91209
Deposited By: Narimah Nawil
Deposited On:21 Jun 2021 08:41
Last Modified:21 Jun 2021 08:41

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