2016 Sixth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP) 2016
DOI: 10.1109/dictap.2016.7544013
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Designing persuasive application to encourage physical activity at workplace among older workers

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Cited by 8 publications
(14 citation statements)
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“…A third-party endorsement strategy was used in the “WragaFit” application, as the PA goals were set by the Ministry of Health [ 157 ]. Another example was represented in the “WeightBit” application, which used the Apple Technology Company's Health Kit [ 171 ].…”
Section: Resultsmentioning
confidence: 99%
“…A third-party endorsement strategy was used in the “WragaFit” application, as the PA goals were set by the Ministry of Health [ 157 ]. Another example was represented in the “WeightBit” application, which used the Apple Technology Company's Health Kit [ 171 ].…”
Section: Resultsmentioning
confidence: 99%
“…Of the 11 papers that did use a theoretical model, the most commonly used theory was the transtheoretical model (25%) [37,58,68], followed by the theory of planned behavior (17%) [41,46] and self-determination theory (17%) [50,74]. Five other papers based their designs on, respectively, persuasive system design model [65], goal setting theory [55], distributed prospective memory approach [48], social cognitive theory [38] and social learning theory combined with the theory of reasoned action [46].…”
Section: Theoretical Underpinning and Behavior Change Techniquesmentioning
confidence: 99%
“…Twenty-six interventions were specifically designed for the office environment, while 19 studies had a more generic approach in which they did not specify the context of use. Eight papers reported an evaluation of their intervention on SB or PA [35,37,43,65,66,77,78]. Thirty-three studies did not give a definition of PA or SB, while nine studies provided a definition of PA and four studies offered a definition of SB (Table 3).…”
Section: Targeted Behaviormentioning
confidence: 99%
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“…First, machine learning was applied to classify activities and generate suggestions based on the users’ past behavioral patterns, which were found to yield stronger intention to follow than generic suggestions [46]. Second, the likeability of different forms of feedback was explored: “at-a-glanceˮ and real-time display of summative data was perceived as useful and motivating by users [48,51]; potential features demanded by users were visual feedback on the health outcomes of SB, accurate and reliable data sources, and the control over the collection and sharing of their data feedback with colleagues [83].…”
Section: Resultsmentioning
confidence: 99%