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Motivations for user satisfaction of mobile fitness applications: An analysis of user experience based on online review comments.
Ahn, Hyeongjin; Park, Eunil.
  • Ahn H; Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea.
  • Park E; Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea.
Humanit Soc Sci Commun ; 10(1): 3, 2023.
Article in English | MEDLINE | ID: covidwho-2227145
ABSTRACT
Considering that mobile fitness applications are one of the necessities in our lives, the user perspective toward the application is a prominent research topic in both academia and industry with the goal of improving such services. Thus, this study applies two different natural language processing approaches, bag-of-words, and sentiment analysis, to online review comments of the applications to examine the effects of user experience elements. The review dataset collected from 16,461 users, after pre-processing, revealed the notable roles of perceived affection and hedonic values in determining user satisfaction with the application, whereas the effect of user burden on satisfaction was marginal. Several implications, as well as limitations of the study, were examined incorporating the findings with the statistical results.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Humanit Soc Sci Commun Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Humanit Soc Sci Commun Year: 2023 Document Type: Article