2022
DOI: 10.1016/j.chb.2021.107089
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GIST do it! How motivational mechanisms help wearable users develop healthy habits

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Cited by 9 publications
(6 citation statements)
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References 88 publications
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“…Choi and Kim (2016) examine intention to use wearables while (Chuah et al, 2016; Jee & Sohn, 2015; Spil et al, 2021) examine adoption and use. The other articles focusing on macrolevel wellbeing examine factors influencing acceptance (Huarng et al, 2022; Wu et al, 2016), use (Lunney et al,2016), continued use (Hong et al, 2017; Shin & Biocca, 2017), habitual use (Marakhimov & Joo, 2017; Oc & Plangger, 2022; Stragier et al, 2016), resistance to adoption (Ogbanufe & Gerhart, 2022) and older people's adoption (Talukder et al, 2020), or intention to use wearables (Farivar et al, 2020; Javdan et al, 2023). The emphasis within macrolevel wellbeing is adoption and use, with limited attention to disposal, a crucial aspect of macrolevel wellbeing.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Choi and Kim (2016) examine intention to use wearables while (Chuah et al, 2016; Jee & Sohn, 2015; Spil et al, 2021) examine adoption and use. The other articles focusing on macrolevel wellbeing examine factors influencing acceptance (Huarng et al, 2022; Wu et al, 2016), use (Lunney et al,2016), continued use (Hong et al, 2017; Shin & Biocca, 2017), habitual use (Marakhimov & Joo, 2017; Oc & Plangger, 2022; Stragier et al, 2016), resistance to adoption (Ogbanufe & Gerhart, 2022) and older people's adoption (Talukder et al, 2020), or intention to use wearables (Farivar et al, 2020; Javdan et al, 2023). The emphasis within macrolevel wellbeing is adoption and use, with limited attention to disposal, a crucial aspect of macrolevel wellbeing.…”
Section: Resultsmentioning
confidence: 99%
“…We propose that future studies adopt a wider range of methods to benefit from more detailed insights that qualitative studies can offer. Relatedly, Figure 4 highlights the use of mediators to understand causal relationships, but relatively few moderators are included, namely demographic variables of age and gender (Oc & Plangger, 2022; Wu et al, 2016;), usage (Stragier et al, 2016) and subjective wellbeing (Farivar et al, 2020). To extend current research on wearables and wellbeing, other moderators should be explored such as socioeconomic status, which encompasses education, employment, income, and social class, all evidenced to possess a positive association with levels of wellbeing (Pinquart & Sörensen, 2000).…”
Section: Resultsmentioning
confidence: 99%
“…The collected qualitative data suggest that several factors influenced participants' motivation to meditate with Prana, including their personal motivations, the impact of documenting meditation experience, the impact of life events, personality traits, and technical glitches. As motivation has been found to play a vital role in habit formation by stimulating repetition of target behaviors [59], these factors may partly explain some of their struggles to adhere to a routine, as discussed below.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies used SDT to examine the interaction between various technology variables and user behavior (Plangger et al , 2019; Oc and Plangger, 2022). We used SDT to identify different user groups' behavior for sports technology usage and its relationship with context-aware characteristics.…”
Section: Theoretical Implicationsmentioning
confidence: 99%