WalkMore: promoting walking with just-in-time context-aware prompts

Ding, Xiang; Xu, Jing; Chen, Guanling; Thind, Herpreet; Zhang, Yuan

doi:10.1109/wh.2016.7764558

Cited by 22 publications

(48 citation statements)

References 13 publications

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“…Questionnaires included a range of standardized questionnaires (eg, the IBM Computer Usability Satisfaction Questionnaire [ 175 ], the Persuasive Technology Acceptance Model Questionnaire [ 176 ], the Intrinsic Motivation Inventory [ 177 ], the Fun Toolkit [ 178 ] and the Working Alliance Inventory [ 179 ]), or questionnaires developed especially for the study (eg, [ 73 , 88 ]). A few studies employed user logs (11%, 7/64), of which, 3 used device-generated usage logs as a “proxy” of users’ interest [ 135 ] or preferences [ 143 , 150 ]; 4 used user-entered text (eg, the content of social media messages to understand the types of social support that users experienced [ 86 , 106 , 130 ], and digital diary entries to understand experiences of using the device [ 106 , 127 ]). Studies that used text-based logs also employed face-to-face qualitative methods (ie, interviews, focus groups) or questionnaires, in addition to collecting log data.…”

Section: Resultsmentioning

confidence: 99%

“…Users’ views on whether the app or wearable increased, or will continue to increase and promote, physical activity [ 39 , 52 , 70 , 75 , 79 , 94 , 103 , 113 , 122 , 123 , 126 , 143 , 145 ]…”

Section: Resultsmentioning

confidence: 99%

“…Ease of use [ 39 , 49 , 143 ] when syncing to Web-based databases [ 142 , 159 ] and when charging the device [ 81 ]…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

McCallum¹,

Rooksby²,

Gray³

2018

JMIR Mhealth Uhealth

111

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BackgroundAlthough many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work.ObjectivesThis study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed.MethodAn interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis.ResultsA total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance).ConclusionsThe rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid res...

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

McCallum¹,

Rooksby²,

Gray³

2018

JMIR Mhealth Uhealth

111

View full text Add to dashboard Cite

show abstract

“…Lost or damaged device was a clear barrier to usability and participation, mentioned in four studies [8,13,15,26]. Further disruptions to response collection due to changes in service plans such that participants could no longer receive text messages [17] or excessive consumption of the smartphone batery [29] and was mentioned as a barrier to data entry completion in another study [10].…”

Section: Usabilitymentioning

confidence: 99%

“…Ding et al [29] report that two participants withdrew because the app was unable to function on their personal smartphone. Peng et al [30] stated that even though the app functioned correctly, participants did not necessarily use it if other strategies, such as paper logbooks, already satisfied their needs.…”

Section: Convenience and Accessibilitymentioning

confidence: 99%

Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings (Preprint)

Simblett¹,

Greer²,

Matcham³

et al. 2018

Preprint

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Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design

Figueroa

Pathak

Khan

et al. 2023

Univ Access Inf Soc

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University students have low levels of physical activity and are at risk of mental health disorders. Mobile apps to encourage physical activity can help students, who are frequent smartphone-users, to improve their physical and mental health. Here we report students’ qualitative feedback on a physical activity smartphone app with motivational text messaging. We provide recommendations for the design of future apps. 103 students used the app for 6 weeks in the context of a clinical trial (NCT04440553) and answered open-ended questions before the start of the study and at follow-up. A subsample (n = 39) provided additional feedback via text message, and a phone interview (n = 8). Questions focused on the perceived encouragement and support by the app, text messaging content, and recommendations for future applications. We analyzed all transcripts for emerging themes using qualitative coding in Dedoose. The majority of participants were female (69.9%), Asian or Pacific Islander (53.4%), with a mean age of 20.2 years, and 63% had elevated depressive symptoms. 26% felt encouraged or neutral toward the app motivating them to be more physically active. Participants liked messages on physical activity benefits on (mental) health, encouraging them to complete their goal, and feedback on their activity. Participants disliked messages that did not match their motivations for physical activity and their daily context (e.g., time, weekday, stress). Physical activity apps for students should be adapted to their motivations, changing daily context, and mental health issues. Feedback from this sample suggests a key to effectiveness is finding effective ways to personalize digital interventions.

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WalkMore: promoting walking with just-in-time context-aware prompts

Cited by 22 publications

References 13 publications

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings (Preprint)

Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design

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