ML Anthology

Human Values and Digital Patterns in Physical Exercise (Extended Abstract)

Yelena Mejova, Kyriaki Kalimeri
IJCAI 2020 pp. 4735-4739
doi:10.24963/IJCAI.2020/656 /ijcai/2020/mejova2020ijcai-human/

Abstract

In this study, we present a unique demographically representative dataset of 15k US residents that combines technology use logs with surveys on moral views, human values, and emotional contagion. First, we show which values determine the adoption of Health & Fitness mobile applications, finding that users who prioritize the value of purity and de-emphasize values of conformity, hedonism, and security are more likely to use such apps. Further, we achieve a weighted AUROC of .673 in predicting whether individual exercises and find a strong link of exercise to respondent socioeconomic status, as well as the value of loyalty.

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Text

Mejova and Kalimeri. "Human Values and Digital Patterns in Physical Exercise (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/656

Markdown

[Mejova and Kalimeri. "Human Values and Digital Patterns in Physical Exercise (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/mejova2020ijcai-human/) doi:10.24963/IJCAI.2020/656

BibTeX

@inproceedings{mejova2020ijcai-human,
  title     = {{Human Values and Digital Patterns in Physical Exercise (Extended Abstract)}},
  author    = {Mejova, Yelena and Kalimeri, Kyriaki},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {4735-4739},
  doi       = {10.24963/IJCAI.2020/656},
  url       = {https://mlanthology.org/ijcai/2020/mejova2020ijcai-human/}
}