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Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China
BACKGROUND: Sexual health is one of the principal components of human well-being. Traditional methods for observing human sexual behavior typically adopt manual intervention approaches (eg, interviews). However, the data obtained by such traditional approaches suffer from intrinsic bias and limited...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180515/ https://www.ncbi.nlm.nih.gov/pubmed/32271153 http://dx.doi.org/10.2196/12677 |
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author | Zhou, Xiaoping Zhao, Jichao Liang, Xun |
author_facet | Zhou, Xiaoping Zhao, Jichao Liang, Xun |
author_sort | Zhou, Xiaoping |
collection | PubMed |
description | BACKGROUND: Sexual health is one of the principal components of human well-being. Traditional methods for observing human sexual behavior typically adopt manual intervention approaches (eg, interviews). However, the data obtained by such traditional approaches suffer from intrinsic bias and limited sample sizes. Sexual behavioral data that are more reflective of the actual situation can be collected by equipping sex toys with sensors. OBJECTIVE: To address the limitations of traditional human sexual behavior data observation methods, a novel cyberphysical system is proposed to capture natural human sexual behavior data in China at the nationwide level. METHODS: A cyberphysical human sexual behavior acquisition system (SeBA) was designed and implemented. SeBA jointly utilizes state of the art information and communication technologies such as smart sex toys, smartphones, and mobile social networks. Smart sex toys enable objective collection of data on human sexual behavior, while the mobile social network provides the possibility of partnered sex in a cyberphysical manner. The objectives and function settings are discussed, and the overall framework of the system architecture is presented. RESULTS: Operation and privacy policies are proposed and the technical solution of SeBA is described. The effectiveness of SeBA was verified based on analysis of users’ human sexual behavior data collected from January 2016 to June 2017. A total of 103,424 solo sexual behaviors were recorded involving 13,047 users, and 61,007 partnered sexual behaviors from 7,140 users were observed. The proportions of males and females in the solo and partnered sex groups were fairly consistent with recent statistics on unmarried individuals in China. We also found that only a small portion of individuals provided information on at least one other attribute besides the required input of gender, such as age, height, location, job, sex preferences, purposes, and interests. CONCLUSIONS: To the best of our knowledge, this is the first study to analyze objective human sexual behavior data at the nationwide level. Although the data are restricted to China, this study can provide insight for further research on human sexual behavior based on the huge amount of data available from wireless smart sex toys worldwide. It is anticipated that findings from such objective big data analyses can help deepen our understanding of sexual behavior, as well as improve sexual health and sexual wellness. |
format | Online Article Text |
id | pubmed-7180515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-71805152020-04-29 Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China Zhou, Xiaoping Zhao, Jichao Liang, Xun JMIR Mhealth Uhealth Original Paper BACKGROUND: Sexual health is one of the principal components of human well-being. Traditional methods for observing human sexual behavior typically adopt manual intervention approaches (eg, interviews). However, the data obtained by such traditional approaches suffer from intrinsic bias and limited sample sizes. Sexual behavioral data that are more reflective of the actual situation can be collected by equipping sex toys with sensors. OBJECTIVE: To address the limitations of traditional human sexual behavior data observation methods, a novel cyberphysical system is proposed to capture natural human sexual behavior data in China at the nationwide level. METHODS: A cyberphysical human sexual behavior acquisition system (SeBA) was designed and implemented. SeBA jointly utilizes state of the art information and communication technologies such as smart sex toys, smartphones, and mobile social networks. Smart sex toys enable objective collection of data on human sexual behavior, while the mobile social network provides the possibility of partnered sex in a cyberphysical manner. The objectives and function settings are discussed, and the overall framework of the system architecture is presented. RESULTS: Operation and privacy policies are proposed and the technical solution of SeBA is described. The effectiveness of SeBA was verified based on analysis of users’ human sexual behavior data collected from January 2016 to June 2017. A total of 103,424 solo sexual behaviors were recorded involving 13,047 users, and 61,007 partnered sexual behaviors from 7,140 users were observed. The proportions of males and females in the solo and partnered sex groups were fairly consistent with recent statistics on unmarried individuals in China. We also found that only a small portion of individuals provided information on at least one other attribute besides the required input of gender, such as age, height, location, job, sex preferences, purposes, and interests. CONCLUSIONS: To the best of our knowledge, this is the first study to analyze objective human sexual behavior data at the nationwide level. Although the data are restricted to China, this study can provide insight for further research on human sexual behavior based on the huge amount of data available from wireless smart sex toys worldwide. It is anticipated that findings from such objective big data analyses can help deepen our understanding of sexual behavior, as well as improve sexual health and sexual wellness. JMIR Publications 2020-04-03 /pmc/articles/PMC7180515/ /pubmed/32271153 http://dx.doi.org/10.2196/12677 Text en ©Xiaoping Zhou, Jichao Zhao, Xun Liang. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 03.04.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zhou, Xiaoping Zhao, Jichao Liang, Xun Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title | Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title_full | Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title_fullStr | Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title_full_unstemmed | Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title_short | Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China |
title_sort | cyberphysical human sexual behavior acquisition system (seba): development and implementation study in china |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180515/ https://www.ncbi.nlm.nih.gov/pubmed/32271153 http://dx.doi.org/10.2196/12677 |
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