Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study
BackgroundWearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the...
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| Format: | Article |
| Language: | English |
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JMIR Publications
2021-09-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2021/9/e28116 |
| _version_ | 1797735744678133760 |
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| author | Bastian Greshake Tzovaras Enric Senabre Hidalgo Karolina Alexiou Lukaz Baldy Basile Morane Ilona Bussod Melvin Fribourg Katarzyna Wac Gary Wolf Mad Ball |
| author_facet | Bastian Greshake Tzovaras Enric Senabre Hidalgo Karolina Alexiou Lukaz Baldy Basile Morane Ilona Bussod Melvin Fribourg Katarzyna Wac Gary Wolf Mad Ball |
| author_sort | Bastian Greshake Tzovaras |
| collection | DOAJ |
| description |
BackgroundWearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices.
ObjectiveThis study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data.
MethodsWe engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion.
ResultsThe Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa.
ConclusionsAs shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates. |
| first_indexed | 2024-03-12T13:03:32Z |
| format | Article |
| id | doaj.art-7b733d5c1d324037ab297000ddd6dfc0 |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T13:03:32Z |
| publishDate | 2021-09-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-7b733d5c1d324037ab297000ddd6dfc02023-08-28T19:02:33ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-09-01239e2811610.2196/28116Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography StudyBastian Greshake Tzovarashttps://orcid.org/0000-0002-9925-9623Enric Senabre Hidalgohttps://orcid.org/0000-0002-6169-6676Karolina Alexiouhttps://orcid.org/0000-0002-1177-1201Lukaz Baldyhttps://orcid.org/0000-0003-2780-8440Basile Moranehttps://orcid.org/0000-0003-0764-2586Ilona Bussodhttps://orcid.org/0000-0001-9877-5215Melvin Fribourghttps://orcid.org/0000-0001-8148-2766Katarzyna Wachttps://orcid.org/0000-0002-8060-399XGary Wolfhttps://orcid.org/0000-0002-9229-9796Mad Ballhttps://orcid.org/0000-0003-0544-5925 BackgroundWearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. ObjectiveThis study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. MethodsWe engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. ResultsThe Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. ConclusionsAs shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates.https://www.jmir.org/2021/9/e28116 |
| spellingShingle | Bastian Greshake Tzovaras Enric Senabre Hidalgo Karolina Alexiou Lukaz Baldy Basile Morane Ilona Bussod Melvin Fribourg Katarzyna Wac Gary Wolf Mad Ball Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study Journal of Medical Internet Research |
| title | Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study |
| title_full | Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study |
| title_fullStr | Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study |
| title_full_unstemmed | Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study |
| title_short | Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study |
| title_sort | using an individual centered approach to gain insights from wearable data in the quantified flu platform netnography study |
| url | https://www.jmir.org/2021/9/e28116 |
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