Toward a persuasive mobile application to reduce sedentary behavior

Dantzig, Saskia van; Geleijnse, Gijs; Halteren, Aart van

doi:10.1007/s00779-012-0588-0

Cited by 135 publications

(135 citation statements)

References 20 publications

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“…Figure 2 trial or outcome studies, five articles focused on software design and evaluation and the remaining articles are on focus groups and interview studies on stakeholders' opinions on smart phone apps for physical activity (see Table 1). [25] × × [26] × [27] × × × × × × × × × [28] × × × × × × × × [29] × × × × [30] × × × [31] × [32] × × × × × × × × × × × × [33] × × [34] × × × × × × × [35] × × × × [36] × × × × × × [37] × [38] × × × [39] × × × × × [40] × [41] × [42] × × × × [43] × × [44] Illustrations in figure 2 and table 2 show features that are highly present in articles on physical activity intervention studies, those features that were occasionally mentioned, or those that were not cited often in these articles. Visualisation of persuasive features is presented to provide more insights about the highlights, 9 gaps and blank spots [45] in current mobile application persuasive design features on physical activity.…”

Section: Data Extractionmentioning

confidence: 99%

“…Self-monitoring was implemented in the form of manual logging [27] or automatic tracking of physical activity [30], either in terms of step count [29], distance travelled [30], active time [31] or sedentary time [25], or other self-evaluation criteria. A qualitative study of user's attitudes towards mobile application promoting physical activity indicated that selfmonitoring is considered to be an important tool in behaviour modification [28].…”

Section: Primary Task Supportmentioning

confidence: 99%

“…When inbuilt sensors detected that the user had remained sedentary for a period of time, the application prompted the user with a suggestion to engage in physical activity [25] [38] [31]. Suggestion also came in the form of motivational text suggestions [39] or video clips that provided tips or motivational messages to the user [40].…”

Section: Dialogue Supportmentioning

confidence: 99%

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Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

et al. 2016

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Persuasive technology in mobile applications can be used to influence the behaviour of users. A framework known as the Persuasive Systems Design model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users. This paper reviews the current state of mobile applications for health behavioural change with an emphasis on applications that promote physical activity. The inbuilt persuasive features of mobile applications were evaluated using the Persuasive Systems Design model. A database search was conducted to identify relevant articles. Articles were then reviewed using the Persuasive Systems Design model as a framework for analysis. Primary task support, dialogue support, and social support were found to be moderately represented in the selected articles. However, system credibility support was found to have only low levels of representation as a persuasive systems design feature in mobile applications for supporting physical activity. To ensure that available mobile technology resources are best used to improve the wellbeing of people, it is important that the design principles that influence the effectiveness of persuasive technology be understood. AbstractPersuasive technology in mobile applications can be used to influence the behaviour of users. A framework known as the Persuasive Systems Design model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users. This paper reviews the current state of mobile applications for health behavioural change with an emphasis on applications that promote physical activity. The inbuilt persuasive features of mobile applications were evaluated using the Persuasive Systems Design model. A database search was conducted to identify relevant articles. Articles were then reviewed using the Persuasive Systems Design model as a framework for analysis. Primary task support, dialogue support, and social support were found to be moderately represented in the selected articles. However, system credibility support was found to have only low levels of representation as a persuasive systems design feature in mobile applications for supporting physical activity. To ensure that available mobile technology resources are best used to improve the wellbeing of people, it is important that the design principles that influence the effectiveness of persuasive technology be understood.

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Section: Data Extractionmentioning

confidence: 99%

Section: Primary Task Supportmentioning

confidence: 99%

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Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

et al. 2016

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“…When examining individual changes, 87.5 % of participants reduced sedentary time and increased light-intensity physical activity. Several other trials have demonstrated promise in reducing sedentary time among office workers using various interventions that include computer software [26], computer software and text messages [30], sit-stand workstations [23,31], portable pedal bike [24], or an in-person session [32]. Furthermore, the magnitude of changes in sedentary time and light activity in the current trial (sedentary change, −8.1 %; light activity change, 7.9 %) were slightly larger than those seen in a recent trial by Bond et al [33] that used similar technology to interrupt sedentary time (sedentary change, -3.3 to −5.9 %; light activity change, 2.7 to 4.7 %).…”

Section: Discussionmentioning

confidence: 99%

“…Since the technology was generally only used until the battery died, the average wear time of the intervention accelerometer was only 7.6 h/day. Others have also reported challenges with battery life when continuously monitoring sedentary time [30]. A second challenge encountered was that the NEAT!…”

Section: Discussionmentioning

confidence: 99%

Acceptability of smartphone technology to interrupt sedentary time in adults with diabetes

Pellegrini

Hoffman²,

Daly³

et al. 2015

Behav. Med. Pract. Policy Res.

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Breaking up sitting time with light-or moderate-intensity physical activity may help to alleviate some negative health effects of sedentary behavior, but few studies have examined ways to effectively intervene. This feasibility study examined the acceptability of a new technology (NEAT!) developed to interrupt prolonged bouts (≥20 min) of sedentary time among adults with type 2 diabetes. Eight of nine participants completed a 1-month intervention and agreed that NEAT! made them more conscious of sitting time. Most participants (87.5 %) expressed a desire to use NEAT! in the future. Sedentary time decreased by 8.1±4.5 %, and light physical activity increased by 7.9±5.5 % over the 1-month period. The results suggest that NEAT! is an acceptable technology to intervene on sedentary time among adults with type 2 diabetes. Future studies are needed to examine the use of the technology among larger samples and determine its effects on glucose and insulin levels.

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TheJITAICode: A Primer on Just‐In‐Time‐Adaptive Interventions

El‐Toukhy

Nahum‐Shani

2020

Wiley StatsRef: Statistics Reference Online

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This chapter is a primer on just‐in‐time adaptive interventions (JITAIs), an intervention design concerned with using ongoing information about the individual and her environment to inform the effective and timely delivery of treatment. JITAIs are motivated by the necessity of intervening on risk and/or protective factors that occur frequently and unpredictably in one's natural environment. JITAIs' goal of providing the right treatment whenever and wherever needed is made possible by recent advances in mobile and wearable technologies. The goal of this chapter is to provide a brief introduction to JITAIs. This includes discussing the motivation underlying this intervention design, highlighting its key elements, and discussing opportunities and challenges relating to the construction of empirically based JITAIs. Throughout, we refer readers to additional reading for in‐depth discussion of these topics.

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Toward a persuasive mobile application to reduce sedentary behavior

Cited by 135 publications

References 20 publications

Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

Acceptability of smartphone technology to interrupt sedentary time in adults with diabetes

TheJITAICode: A Primer on Just‐In‐Time‐Adaptive Interventions

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