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Cross-situation consistency of mobile App users’ psychological needs

Previous studies showed that individuals’ traits could be used to explain the similarity of behavioral patterns across different occasions. Such studies have typically focused on personality traits, and have not been extended to psychological needs. Our study used a large dataset of 1,715,078 anonym...

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Detalles Bibliográficos
Autores principales: Sun, Zaoyi, Zhang, Pei, Ji, Zhiwei, Chen, Chuansheng, Wan, Qun, Qian, Xiuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481827/
https://www.ncbi.nlm.nih.gov/pubmed/31017955
http://dx.doi.org/10.1371/journal.pone.0215819
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author Sun, Zaoyi
Zhang, Pei
Ji, Zhiwei
Chen, Chuansheng
Wan, Qun
Qian, Xiuying
author_facet Sun, Zaoyi
Zhang, Pei
Ji, Zhiwei
Chen, Chuansheng
Wan, Qun
Qian, Xiuying
author_sort Sun, Zaoyi
collection PubMed
description Previous studies showed that individuals’ traits could be used to explain the similarity of behavioral patterns across different occasions. Such studies have typically focused on personality traits, and have not been extended to psychological needs. Our study used a large dataset of 1,715,078 anonymous users’ App usage records to examine whether the individual’s needs-based profiles of App usage were consistent across different situations (as indexed by categories of App functions). Results showed a high level of consistency across situations in a user’s choice of Apps based on the needs the Apps could satisfy. These results provide clear evidence in support of cross-category App recommendation systems.
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spelling pubmed-64818272019-05-07 Cross-situation consistency of mobile App users’ psychological needs Sun, Zaoyi Zhang, Pei Ji, Zhiwei Chen, Chuansheng Wan, Qun Qian, Xiuying PLoS One Research Article Previous studies showed that individuals’ traits could be used to explain the similarity of behavioral patterns across different occasions. Such studies have typically focused on personality traits, and have not been extended to psychological needs. Our study used a large dataset of 1,715,078 anonymous users’ App usage records to examine whether the individual’s needs-based profiles of App usage were consistent across different situations (as indexed by categories of App functions). Results showed a high level of consistency across situations in a user’s choice of Apps based on the needs the Apps could satisfy. These results provide clear evidence in support of cross-category App recommendation systems. Public Library of Science 2019-04-24 /pmc/articles/PMC6481827/ /pubmed/31017955 http://dx.doi.org/10.1371/journal.pone.0215819 Text en © 2019 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Zaoyi
Zhang, Pei
Ji, Zhiwei
Chen, Chuansheng
Wan, Qun
Qian, Xiuying
Cross-situation consistency of mobile App users’ psychological needs
title Cross-situation consistency of mobile App users’ psychological needs
title_full Cross-situation consistency of mobile App users’ psychological needs
title_fullStr Cross-situation consistency of mobile App users’ psychological needs
title_full_unstemmed Cross-situation consistency of mobile App users’ psychological needs
title_short Cross-situation consistency of mobile App users’ psychological needs
title_sort cross-situation consistency of mobile app users’ psychological needs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481827/
https://www.ncbi.nlm.nih.gov/pubmed/31017955
http://dx.doi.org/10.1371/journal.pone.0215819
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