Harnessing social dynamics through persuasive technology to promote healthier lifestyle

Khalil, Ashraf; Abdallah, Salam

doi:10.1016/j.chb.2013.07.008

Cited by 43 publications

(59 citation statements)

References 27 publications

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“…Eight reported increased physical activity following a smartphone-based intervention, 11 , 13 , 15 , 19 , 21 , 22 , 24 , 25 and ten studies reported no change in physical activity. 8 – 10 , 12 , 14 , 16 – 18 , 20 , 23 Of the studies that elicited change in physical activity, three reported increased steps ranging from 1,085 to 2,334 steps/day over a period of 5–8 weeks ( p <0.05); 11 , 19 , 22 three reported increases of 28.7–34.5 min/day using accelerometry ( p <0.05) 13 , 25 or 100.8 min/week using self-report measures ( p <0.001) 15 over 8–12 weeks of intervention; however, after adjusting for baseline physical activity, changes were no longer statistically significant in one study. 13 One study reported increased energy expenditure of 196.4 kcal/day over a 6-month intervention ( p =0.02), 24 and another reported a greater percentage of participants with positive trends in physical activity in the intervention compared to the control group over a 3-week intervention ( p =0.05).…”

Section: Resultsmentioning

confidence: 99%

The role of smartphones in encouraging physical activity in adults

Stuckey¹,

Carter²,

Knight³

2017

IJGM

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Lack of physical activity is a global public health issue. Behavioral change interventions utilizing smartphone applications (apps) are considered a potential solution. The purpose of this literature review was to: 1) determine whether smartphone-based interventions encourage the initiation of, and participation in, physical activity; 2) explore the success of interventions in different populations; and 3) examine the key factors of the interventions that successfully encouraged physical activity. Eight databases (Medline, Scopus, EBM Reviews–Cochrane Central Register of Controlled Trials, EBM Reviews–Cochrane Database of Systematic Reviews, PsycInfo, SportDISCUS, CINAHL, and EMBASE) were searched and studies reporting physical activity outcomes following interventions using smartphone apps in adults were included in the narrative review. Results were mixed with eight studies reporting increased physical activity and ten reporting no change. Interventions did not appear to be successful in specific populations defined by age, sex, country, or clinical diagnosis. There was no conclusive evidence that a specific behavioral theory or behavioral change technique was superior in eliciting behavioral change. The literature remains limited primarily to short-term studies, many of which are underpowered feasibility or pilot studies; therefore, many knowledge gaps regarding the effectiveness of smartphone apps in encouraging physical activity remain. Robust studies that can accommodate the fast pace of the technology industry are needed to examine outcomes in large populations.

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Section: Resultsmentioning

confidence: 99%

The role of smartphones in encouraging physical activity in adults

Stuckey¹,

Carter²,

Knight³

2017

IJGM

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“…One of the key aspects-and a dilemma-in minimising the risk factors for chronic diseases is how to motivate people to modify their lifestyle (3). Increasing physical activity has been identified as one of the most important factors in lifestyle modification;…”

Section: Introductionmentioning

confidence: 99%

Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

Win

Roberts

Oinas-Kukkonen

2018

Informatics for Health and Social Care

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Increasing physical activity has been identified as one of the most important factors in lifestyle modification. Previous studies have reported the effectiveness of using the Internet in motivating behavioural modifications of physical activities. The aim of this study is to identify the persuasive system features most frequently used in computermediated physical activities in the current literature. Materials and Method In this review, intervention studies were identified through a structured computerised search of PubMed, PsychInfo, and Web of Science. The results of the search were analysed using the Persuasive Systems Design (PSD) features identified by Oinas-Kukkonen and Harjumaa (2009). Results Thirty-eight articles were reviewed and the features of the physical activity interventions described were mapped to the identified facets of Persuasive Systems Design (PSD). The PSD features used most often by researchers in the studies considered in this research included: tailoring; tunnelling; reminders; trustworthiness; and expertise. The effectiveness of the interventions described in the studies was also compared. The stage of change theory was applied in several intervention studies and the importance of stage of change has been identified in effectiveness of persuasion towards physical activity. Research highlights • The persuasive systems design features commonly present in physical activity intervention studies were identified. • The tailoring, tunneling, reminders, trustworthiness and expertise features were used more frequently than others in promoting health behaviour change to increase physical activity. • The tailoring feature was frequently used in conjunction with features from the dialogue support category to encourage physical activity in online applications. • The social support category was not discussed widely in physical activity intervention studies. • The effectiveness of computer-mediated lifestyle modification interventions for physical activity was gauged.

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“…However, the desire to offer encouragement and support to others, based on visibility of their data, has been identified [18,20]. Overall prior work has presented mixed findings on the effectiveness of sharing tracker data as a driver for behavior change, with the differences being generally attributable to context or baseline of comparison [3,4,5,6].…”

Section: Group Connectivitymentioning

confidence: 99%

“…Many activity tracker Apps and platforms, such as Sportstracker, RunTastic, and Endomondo 1 , support sharing workout results online. Sharing sports performance has been reported to have positive effects on motivation, due to peer support and competitiveness [3,4,5,6,7]. However, thinking beyond the domain of sport, i.e., the wider scope of health and wellness, it is interesting to examine the sensitivity of different data types, and users' willingness to share them, particularly as available data is becoming increasingly descriptive.…”

Section: Introductionmentioning

confidence: 99%

Exploring public wearable display of wellness tracker data

Colley

Pfleging

Alt

et al. 2020

International Journal of Human-Computer Studies

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We investigate wearable presentation of tracked wellness data, and people's perceptions and motivations for sharing it through a wearable display. Whilst online sharing is a common feature in wellness tracking solutions, the motivations and experiences of users to share tracked data in situ has not been widely studied. We created two functional prototypes-the hat tracker and the tracker badge-which we used as probes in two focus groups to elicit opinions on the content and format of wearable tracker displays. Complementing this, a study where participants used the hat tracker prototype in public locations provides insights on sharing in everyday life use contexts. We report that users appreciate the motivating nature of such displays, but favor the display of positive information. Leveraging prior work, we present a model describing the factors affecting users' willingness to share tracked data via wearable displays, and highlight such displays' potential for supporting behavior change.

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Harnessing social dynamics through persuasive technology to promote healthier lifestyle

Cited by 43 publications

References 27 publications

The role of smartphones in encouraging physical activity in adults

The role of smartphones in encouraging physical activity in adults

Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

Exploring public wearable display of wellness tracker data

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