Background
Wearable activity trackers offer the opportunity to increase physical activity through continuous monitoring. Viewing tracker use as a beneficial health behavior, we explored the factors that facilitate and hinder long-term activity tracker use, applying the transtheoretical model of behavior change with the focus on the maintenance stage and relapse.
Objective
The aim of this study was to investigate older adults’ perceptions and uses of activity trackers at different points of use: from nonuse and short-term use to long-term use and abandoned use to determine the factors to maintain tracker use and prevent users from discontinuing tracker usage.
Methods
Data for the research come from 10 focus groups. Of them, 4 focus groups included participants who had never used activity trackers (n=17). These focus groups included an activity tracker trial. The other 6 focus groups (without the activity tracker trial) were conducted with short-term (n=9), long-term (n=11), and former tracker users (n=11; 2 focus groups per user type).
Results
The results revealed that older adults in different tracker use stages liked and wished for different tracker features, with long-term users (users in the maintenance stage) being the most diverse and sophisticated users of the technology. Long-term users had developed a habit of tracker use whereas other participants made an effort to employ various encouragement strategies to ensure behavior maintenance. Social support through collaboration was the primary motivator for long-term users to maintain activity tracker use. Short-term and former users focused on competition, and nonusers engaged in vicarious tracker use experiences. Former users, or those who relapsed by abandoning their trackers, indicated that activity tracker use was fueled by curiosity in quantifying daily physical activity rather than the desire to increase physical activity. Long-term users saw a greater range of pros in activity tracker use whereas others focused on the cons of this behavior.
Conclusions
The results suggest that activity trackers may be an effective technology to encourage physical activity among older adults, especially those who have never tried it. However, initial positive response to tracker use does not guarantee tracker use maintenance. Maintenance depends on recognizing the long-term benefits of tracker use, social support, and internal motivation. Nonadoption and relapse may occur because of technology’s limitations and gaining awareness of one’s physical activity without changing the physical activity level itself.
Smartphones offer multimedia convergence in a single device, ubiquitous access to media, and constant connections with others. The rapid rise of smartphone use calls for more scholarly attention paid to users’ media usage and time expenditure. This study aims to (a) understand smartphone usage patterns by examining time spent using smartphones and task switching between mobile applications (apps), and (b) test the validity of self-reported measures of these behaviors by comparing self-reports with log data from the smartphone. Data were collected from 50 participants over 1 week. Results show that on average participants spent 2 hours 39 minutes on their smartphone and made 101 app switches per day. Among other findings, social networking was the most used app category, age was a significant demographic factor, and participants, especially heavy smartphone users, overestimated their mobile app usage. Theoretical and practical implications of these findings are discussed.
The current study explored the motivations of online social network use among a sample of the general population in Taiwan (N=4,346). It investigated how seven different motivations to use Facebook predicted the intensity of Facebook use and content-generation behaviors on Facebook. Results showed that the motivation to use Facebook for posting and viewing status updates was the strongest predictor of Facebook intensity, while the motivation to view and share photographs was the strongest predictor of content-generation behavior on the site. Results are discussed in terms of expanding motivations to use Facebook to the study of social networking sites and other new and social media.
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