Designing, Prototyping and Evaluating Digital Mindfulness Applications: A Case Study of Mindful Breathing for Stress Reduction
During the past decade, there has been a rapid increase of interactive apps designed for health and well-being. Yet, little research has been published on developing frameworks for design and evaluation of digital mindfulness facilitating technologies. Moreover, many existing digital mindfulness app...
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description | During the past decade, there has been a rapid increase of interactive apps designed for health and well-being. Yet, little research has been published on developing frameworks for design and evaluation of digital mindfulness facilitating technologies. Moreover, many existing digital mindfulness applications are purely software based. There is room for further exploration and assessment of designs that make more use of physical qualities of artifacts.
The study aimed to develop and test a new physical digital mindfulness prototype designed for stress reduction.
In this case study, we designed, developed, and evaluated HU, a physical digital mindfulness prototype designed for stress reduction. In the first phase, we used vapor and light to support mindful breathing and invited 25 participants through snowball sampling to test HU. In the second phase, we added sonification. We deployed a package of probes such as photos, diaries, and cards to collect data from users who explored HU in their homes. Thereafter, we evaluated our installation using both self-assessed stress levels and heart rate (HR) and heart rate variability (HRV) measures in a pilot study, in order to measure stress resilience effects. After the experiment, we performed a semistructured interview to reflect on HU and investigate the design of digital mindfulness apps for stress reduction.
The results of the first phase showed that 22 of 25 participants (88%) claimed vapor and light could be effective ways of promoting mindful breathing. Vapor could potentially support mindful breathing better than light (especially for mindfulness beginners). In addition, a majority of the participants mentioned sound as an alternative medium. In the second phase, we found that participants thought that HU could work well for stress reduction. We compared the effect of silent HU (using light and vapor without sound) and sonified HU on 5 participants. Subjective stress levels were statistically improved with both silent and sonified HU. The mean value of HR using silent HU was significantly lower than resting baseline and sonified HU. The mean value of root mean square of differences (RMSSD) using silent HU was significantly higher than resting baseline. We found that the differences between our objective and subjective assessments were intriguing and prompted us to investigate them further.
Our evaluation of HU indicated that HU could facilitate relaxed breathing and stress reduction. There was a difference i |
doi_str_mv | 10.2196/jmir.6955 |
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The study aimed to develop and test a new physical digital mindfulness prototype designed for stress reduction.
In this case study, we designed, developed, and evaluated HU, a physical digital mindfulness prototype designed for stress reduction. In the first phase, we used vapor and light to support mindful breathing and invited 25 participants through snowball sampling to test HU. In the second phase, we added sonification. We deployed a package of probes such as photos, diaries, and cards to collect data from users who explored HU in their homes. Thereafter, we evaluated our installation using both self-assessed stress levels and heart rate (HR) and heart rate variability (HRV) measures in a pilot study, in order to measure stress resilience effects. After the experiment, we performed a semistructured interview to reflect on HU and investigate the design of digital mindfulness apps for stress reduction.
The results of the first phase showed that 22 of 25 participants (88%) claimed vapor and light could be effective ways of promoting mindful breathing. Vapor could potentially support mindful breathing better than light (especially for mindfulness beginners). In addition, a majority of the participants mentioned sound as an alternative medium. In the second phase, we found that participants thought that HU could work well for stress reduction. We compared the effect of silent HU (using light and vapor without sound) and sonified HU on 5 participants. Subjective stress levels were statistically improved with both silent and sonified HU. The mean value of HR using silent HU was significantly lower than resting baseline and sonified HU. The mean value of root mean square of differences (RMSSD) using silent HU was significantly higher than resting baseline. We found that the differences between our objective and subjective assessments were intriguing and prompted us to investigate them further.
Our evaluation of HU indicated that HU could facilitate relaxed breathing and stress reduction. There was a difference in outcome between the physiological measures of stress and the subjective reports of stress, as well as a large intervariability among study participants. Our conclusion is that the use of stress reduction tools should be customized and that the design work of mindfulness technology for stress reduction is a complex process, which requires cooperation of designers, HCI (Human-Computer Interaction) experts and clinicians.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.6955</identifier><identifier>PMID: 28615157</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Biofeedback ; breathing ; Case studies ; Cooperation ; device design ; Diaries ; Equipment Design - methods ; Feedback ; Female ; Heart rate ; Heart Rate - physiology ; Human-computer interaction ; Humans ; Installation ; Light ; Male ; Mindfulness ; Mindfulness - methods ; Occupational stress ; Original Paper ; Pilot Projects ; relaxation ; Resilience ; Respiration ; Resting ; Self evaluation ; Sensors ; Snowball sampling ; Sound ; Stress ; Stress management ; Stress response ; Technology ; Traditions ; Well being</subject><ispartof>Journal of medical Internet research, 2017-06, Vol.19 (6), p.e197-e197</ispartof><rights>Bin Zhu, Anders Hedman, Shuo Feng, Haibo Li, Walter Osika. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.06.2017.</rights><rights>2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Bin Zhu, Anders Hedman, Shuo Feng, Haibo Li, Walter Osika. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.06.2017. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-3e7f621484490d4224d43ff38fe71f02940a175b57f3ec5d2e8a189a415b56123</citedby><cites>FETCH-LOGICAL-c479t-3e7f621484490d4224d43ff38fe71f02940a175b57f3ec5d2e8a189a415b56123</cites><orcidid>0000-0002-2161-6395 ; 0000-0002-1409-6352 ; 0000-0003-3779-5647 ; 0000-0002-1583-7319 ; 0000-0001-9960-1639</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,551,724,777,781,861,882,12827,27905,27906,30980</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28615157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-213815$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:136475010$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhu, Bin</creatorcontrib><creatorcontrib>Hedman, Anders</creatorcontrib><creatorcontrib>Feng, Shuo</creatorcontrib><creatorcontrib>Li, Haibo</creatorcontrib><creatorcontrib>Osika, Walter</creatorcontrib><title>Designing, Prototyping and Evaluating Digital Mindfulness Applications: A Case Study of Mindful Breathing for Stress Reduction</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>During the past decade, there has been a rapid increase of interactive apps designed for health and well-being. Yet, little research has been published on developing frameworks for design and evaluation of digital mindfulness facilitating technologies. Moreover, many existing digital mindfulness applications are purely software based. There is room for further exploration and assessment of designs that make more use of physical qualities of artifacts.
The study aimed to develop and test a new physical digital mindfulness prototype designed for stress reduction.
In this case study, we designed, developed, and evaluated HU, a physical digital mindfulness prototype designed for stress reduction. In the first phase, we used vapor and light to support mindful breathing and invited 25 participants through snowball sampling to test HU. In the second phase, we added sonification. We deployed a package of probes such as photos, diaries, and cards to collect data from users who explored HU in their homes. Thereafter, we evaluated our installation using both self-assessed stress levels and heart rate (HR) and heart rate variability (HRV) measures in a pilot study, in order to measure stress resilience effects. After the experiment, we performed a semistructured interview to reflect on HU and investigate the design of digital mindfulness apps for stress reduction.
The results of the first phase showed that 22 of 25 participants (88%) claimed vapor and light could be effective ways of promoting mindful breathing. Vapor could potentially support mindful breathing better than light (especially for mindfulness beginners). In addition, a majority of the participants mentioned sound as an alternative medium. In the second phase, we found that participants thought that HU could work well for stress reduction. We compared the effect of silent HU (using light and vapor without sound) and sonified HU on 5 participants. Subjective stress levels were statistically improved with both silent and sonified HU. The mean value of HR using silent HU was significantly lower than resting baseline and sonified HU. The mean value of root mean square of differences (RMSSD) using silent HU was significantly higher than resting baseline. We found that the differences between our objective and subjective assessments were intriguing and prompted us to investigate them further.
Our evaluation of HU indicated that HU could facilitate relaxed breathing and stress reduction. There was a difference in outcome between the physiological measures of stress and the subjective reports of stress, as well as a large intervariability among study participants. Our conclusion is that the use of stress reduction tools should be customized and that the design work of mindfulness technology for stress reduction is a complex process, which requires cooperation of designers, HCI (Human-Computer Interaction) experts and clinicians.</description><subject>Biofeedback</subject><subject>breathing</subject><subject>Case studies</subject><subject>Cooperation</subject><subject>device design</subject><subject>Diaries</subject><subject>Equipment Design - methods</subject><subject>Feedback</subject><subject>Female</subject><subject>Heart rate</subject><subject>Heart Rate - physiology</subject><subject>Human-computer interaction</subject><subject>Humans</subject><subject>Installation</subject><subject>Light</subject><subject>Male</subject><subject>Mindfulness</subject><subject>Mindfulness - methods</subject><subject>Occupational stress</subject><subject>Original Paper</subject><subject>Pilot Projects</subject><subject>relaxation</subject><subject>Resilience</subject><subject>Respiration</subject><subject>Resting</subject><subject>Self evaluation</subject><subject>Sensors</subject><subject>Snowball sampling</subject><subject>Sound</subject><subject>Stress</subject><subject>Stress management</subject><subject>Stress response</subject><subject>Technology</subject><subject>Traditions</subject><subject>Well being</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>D8T</sourceid><recordid>eNp9kstu1DAUhiMEohdY8ALIEhsqkZLjS2J3gTTMlItUBOK2tdzEzniasQfbKZoNz46jmVYtC1Y-l-_8Ojr-i-IZVKcYRP16tbbhtBaMPSgOgRJect7AwzvxQXEU46qqcEUFPC4OMK-BAWsOiz8LHW3vrOtfoS_BJ5-2m5wg5Tp0fq2GUaUpXdjeJjWgT9Z1ZhycjhHNNpvBtrnvXTxDMzRXUaNvaey2yJsbEr0NWqXlpGF8yO0wjX7V3dhOg0-KR0YNUT_dv8fFj3fn3-cfyovP7z_OZxdlSxuRSqIbU2OgnFJRdRRj2lFiDOFGN2AqLGiloGGXrDFEt6zDmivgQlHItRowOS7KnW78rTfjpdwEu1ZhK72ycl-6ypGWVNRQkf_yC_tzJn3o5VVaSgyEA8v8mx2f4bXuWu1SUMO9sfsdZ5ey99eSUS4agCzwci8Q_K9RxyTXNrZ6GJTTfowSxLRWUxGR0Rf_oCs_BpfPJzEDzPMfN3WmTnZUG3yMQZvbZaCSk2vk5Bo5uSazz-9uf0ve2IT8BabVv5g</recordid><startdate>20170614</startdate><enddate>20170614</enddate><creator>Zhu, Bin</creator><creator>Hedman, Anders</creator><creator>Feng, Shuo</creator><creator>Li, Haibo</creator><creator>Osika, Walter</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AFDQA</scope><scope>AOWAS</scope><scope>D8T</scope><scope>D8V</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-2161-6395</orcidid><orcidid>https://orcid.org/0000-0002-1409-6352</orcidid><orcidid>https://orcid.org/0000-0003-3779-5647</orcidid><orcidid>https://orcid.org/0000-0002-1583-7319</orcidid><orcidid>https://orcid.org/0000-0001-9960-1639</orcidid></search><sort><creationdate>20170614</creationdate><title>Designing, Prototyping and Evaluating Digital Mindfulness Applications: A Case Study of Mindful Breathing for Stress Reduction</title><author>Zhu, Bin ; Hedman, Anders ; Feng, Shuo ; Li, Haibo ; Osika, Walter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-3e7f621484490d4224d43ff38fe71f02940a175b57f3ec5d2e8a189a415b56123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biofeedback</topic><topic>breathing</topic><topic>Case studies</topic><topic>Cooperation</topic><topic>device design</topic><topic>Diaries</topic><topic>Equipment Design - methods</topic><topic>Feedback</topic><topic>Female</topic><topic>Heart rate</topic><topic>Heart Rate - physiology</topic><topic>Human-computer interaction</topic><topic>Humans</topic><topic>Installation</topic><topic>Light</topic><topic>Male</topic><topic>Mindfulness</topic><topic>Mindfulness - methods</topic><topic>Occupational stress</topic><topic>Original Paper</topic><topic>Pilot Projects</topic><topic>relaxation</topic><topic>Resilience</topic><topic>Respiration</topic><topic>Resting</topic><topic>Self evaluation</topic><topic>Sensors</topic><topic>Snowball sampling</topic><topic>Sound</topic><topic>Stress</topic><topic>Stress management</topic><topic>Stress response</topic><topic>Technology</topic><topic>Traditions</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Bin</creatorcontrib><creatorcontrib>Hedman, Anders</creatorcontrib><creatorcontrib>Feng, Shuo</creatorcontrib><creatorcontrib>Li, Haibo</creatorcontrib><creatorcontrib>Osika, Walter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SWEPUB Kungliga Tekniska Högskolan full text</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><collection>SwePub Articles full text</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Bin</au><au>Hedman, Anders</au><au>Feng, Shuo</au><au>Li, Haibo</au><au>Osika, Walter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Designing, Prototyping and Evaluating Digital Mindfulness Applications: A Case Study of Mindful Breathing for Stress Reduction</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2017-06-14</date><risdate>2017</risdate><volume>19</volume><issue>6</issue><spage>e197</spage><epage>e197</epage><pages>e197-e197</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>During the past decade, there has been a rapid increase of interactive apps designed for health and well-being. Yet, little research has been published on developing frameworks for design and evaluation of digital mindfulness facilitating technologies. Moreover, many existing digital mindfulness applications are purely software based. There is room for further exploration and assessment of designs that make more use of physical qualities of artifacts.
The study aimed to develop and test a new physical digital mindfulness prototype designed for stress reduction.
In this case study, we designed, developed, and evaluated HU, a physical digital mindfulness prototype designed for stress reduction. In the first phase, we used vapor and light to support mindful breathing and invited 25 participants through snowball sampling to test HU. In the second phase, we added sonification. We deployed a package of probes such as photos, diaries, and cards to collect data from users who explored HU in their homes. Thereafter, we evaluated our installation using both self-assessed stress levels and heart rate (HR) and heart rate variability (HRV) measures in a pilot study, in order to measure stress resilience effects. After the experiment, we performed a semistructured interview to reflect on HU and investigate the design of digital mindfulness apps for stress reduction.
The results of the first phase showed that 22 of 25 participants (88%) claimed vapor and light could be effective ways of promoting mindful breathing. Vapor could potentially support mindful breathing better than light (especially for mindfulness beginners). In addition, a majority of the participants mentioned sound as an alternative medium. In the second phase, we found that participants thought that HU could work well for stress reduction. We compared the effect of silent HU (using light and vapor without sound) and sonified HU on 5 participants. Subjective stress levels were statistically improved with both silent and sonified HU. The mean value of HR using silent HU was significantly lower than resting baseline and sonified HU. The mean value of root mean square of differences (RMSSD) using silent HU was significantly higher than resting baseline. We found that the differences between our objective and subjective assessments were intriguing and prompted us to investigate them further.
Our evaluation of HU indicated that HU could facilitate relaxed breathing and stress reduction. There was a difference in outcome between the physiological measures of stress and the subjective reports of stress, as well as a large intervariability among study participants. Our conclusion is that the use of stress reduction tools should be customized and that the design work of mindfulness technology for stress reduction is a complex process, which requires cooperation of designers, HCI (Human-Computer Interaction) experts and clinicians.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>28615157</pmid><doi>10.2196/jmir.6955</doi><orcidid>https://orcid.org/0000-0002-2161-6395</orcidid><orcidid>https://orcid.org/0000-0002-1409-6352</orcidid><orcidid>https://orcid.org/0000-0003-3779-5647</orcidid><orcidid>https://orcid.org/0000-0002-1583-7319</orcidid><orcidid>https://orcid.org/0000-0001-9960-1639</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biofeedback breathing Case studies Cooperation device design Diaries Equipment Design - methods Feedback Female Heart rate Heart Rate - physiology Human-computer interaction Humans Installation Light Male Mindfulness Mindfulness - methods Occupational stress Original Paper Pilot Projects relaxation Resilience Respiration Resting Self evaluation Sensors Snowball sampling Sound Stress Stress management Stress response Technology Traditions Well being |
title | Designing, Prototyping and Evaluating Digital Mindfulness Applications: A Case Study of Mindful Breathing for Stress Reduction |
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