Motivations for user satisfaction of mobile fitness applications: An analysis of user experience based on online review comments

This repository contains data for the paper "Motivations for user satisfaction of mobile fitness applications: Ananalysis of user experience based on online review comments".

Overview

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 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.

About dataset

The dataset is collected reviews of the top five mobile fitness applications in the Google US Play Store.

Content

The dataset contains the textual reviews, LIWC results and star rating scores.

Reference

@article{ahn2023motivations,
  title={Motivations for user satisfaction of mobile fitness applications: An analysis of user experience based on online review comments},
  author={Ahn, Hyeongjin and Park, Eunil},
  journal={Humanities and Social Sciences Communications},
  volume={10},
  number={1},
  pages={1--7},
  year={2023},
  publisher={Palgrave}
}