IJCAI 2020poster0 citations
Human Values and Digital Patterns in Physical Exercise (Extended Abstract)
Yelena Mejova, Kyriaki Kalimeri
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.
Humans and AI: Personalization and User ModelingHumans and AI: Human-Computer InteractionMultidisciplinary Topics and Applications: Social Sciences
BibTeX
@inproceedings{ijcai2020p656,
title = {Human Values and Digital Patterns in Physical Exercise (Extended Abstract)},
author = {Mejova, Yelena and Kalimeri, Kyriaki},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {4735--4739},
year = {2020},
month = {7},
note = {Sister Conferences Best Papers},
doi = {10.24963/ijcai.2020/656},
url = {https://doi.org/10.24963/ijcai.2020/656},
}