Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey
Background: For successful integration of mobile sensing solutions in existing mental health services, patients' comfortability with mobile sensing is crucial. Objective: We thus aimed to investigate people's comfortability with mobile sensing and explore personal, mobile sensing app and d...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-08-01
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| Series: | Computers in Human Behavior Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451958821000828 |
| _version_ | 1818972611516825600 |
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| author | Kitti Bessenyei Banuchitra Suruliraj Alexa Bagnell Patrick McGrath Lori Wozney Anna Huguet Bernice Simone Elger Sandra Meier Rita Orji |
| author_facet | Kitti Bessenyei Banuchitra Suruliraj Alexa Bagnell Patrick McGrath Lori Wozney Anna Huguet Bernice Simone Elger Sandra Meier Rita Orji |
| author_sort | Kitti Bessenyei |
| collection | DOAJ |
| description | Background: For successful integration of mobile sensing solutions in existing mental health services, patients' comfortability with mobile sensing is crucial. Objective: We thus aimed to investigate people's comfortability with mobile sensing and explore personal, mobile sensing app and data privacy related variables' impact on comfortability. Methods: We conducted an online survey including 491 participants aged >18 and ran three models of linear regression with comfortability with mobile sensing as primary outcome and personal variables as predictors in the 1st model; mobile sensing app related variables as predictors in the 2nd model; and general data privacy related variables as predictors in the 3rd model. Then, we ran an aggregated model of the previous three including all significant predictors. Results: Like of features, perceived control and trust in mobile marketers had the highest impact on comfortability with data sensing and they also predicted intentions to accept app permissions. Conclusions: People are more comfortable with sharing their data and more willing to take the risks of using mobile sensing apps if they find that the features provide them with valuable feedback related to their health. It is highly important for users that they can trust the people they provide access to their data and feel in control of the data they share. |
| first_indexed | 2024-12-20T15:11:01Z |
| format | Article |
| id | doaj.art-cdcab1618cda4872aaed729ceb26cef2 |
| institution | Directory Open Access Journal |
| issn | 2451-9588 |
| language | English |
| last_indexed | 2024-12-20T15:11:01Z |
| publishDate | 2021-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers in Human Behavior Reports |
| spelling | doaj.art-cdcab1618cda4872aaed729ceb26cef22022-12-21T19:36:19ZengElsevierComputers in Human Behavior Reports2451-95882021-08-014100134Comfortability with the passive collection of smartphone data for monitoring of mental health: An online surveyKitti Bessenyei0Banuchitra Suruliraj1Alexa Bagnell2Patrick McGrath3Lori Wozney4Anna Huguet5Bernice Simone Elger6Sandra Meier7Rita Orji8Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, CanadaFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, CanadaDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, CanadaDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, CanadaNova Scotia Health Authority, Halifax, Nova Scotia, CanadaDepartment of Psychology, Rovira i Virgili University, Catalonia, SpainInstitute for Biomedical Ethics, University of Basel, Switzerland; Center for Legal Medicine, University of Geneva, SwitzerlandDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Corresponding author. IWK Health Centre, Dept. of Psychiatry & Specific Care Clinics, 5850/5980 University Ave., PO Box 9700, Halifax , NS B3K 6R8, Canada.Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, CanadaBackground: For successful integration of mobile sensing solutions in existing mental health services, patients' comfortability with mobile sensing is crucial. Objective: We thus aimed to investigate people's comfortability with mobile sensing and explore personal, mobile sensing app and data privacy related variables' impact on comfortability. Methods: We conducted an online survey including 491 participants aged >18 and ran three models of linear regression with comfortability with mobile sensing as primary outcome and personal variables as predictors in the 1st model; mobile sensing app related variables as predictors in the 2nd model; and general data privacy related variables as predictors in the 3rd model. Then, we ran an aggregated model of the previous three including all significant predictors. Results: Like of features, perceived control and trust in mobile marketers had the highest impact on comfortability with data sensing and they also predicted intentions to accept app permissions. Conclusions: People are more comfortable with sharing their data and more willing to take the risks of using mobile sensing apps if they find that the features provide them with valuable feedback related to their health. It is highly important for users that they can trust the people they provide access to their data and feel in control of the data they share.http://www.sciencedirect.com/science/article/pii/S2451958821000828Mobile sensingMental healthData privacyComfortability with data sharingLike of featuresTrust in mobile marketers |
| spellingShingle | Kitti Bessenyei Banuchitra Suruliraj Alexa Bagnell Patrick McGrath Lori Wozney Anna Huguet Bernice Simone Elger Sandra Meier Rita Orji Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey Computers in Human Behavior Reports Mobile sensing Mental health Data privacy Comfortability with data sharing Like of features Trust in mobile marketers |
| title | Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey |
| title_full | Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey |
| title_fullStr | Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey |
| title_full_unstemmed | Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey |
| title_short | Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey |
| title_sort | comfortability with the passive collection of smartphone data for monitoring of mental health an online survey |
| topic | Mobile sensing Mental health Data privacy Comfortability with data sharing Like of features Trust in mobile marketers |
| url | http://www.sciencedirect.com/science/article/pii/S2451958821000828 |
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