The mobile phone is a breakthrough advance for human communication. But with the plethora of choices available via smartphone, individuals who are deficient in self-regulation or with a propensity for addiction may face challenges in managing these choices strategically. To examine this potential dysfunctional aspect, we examined the effect of multitasking when studying or doing homework and found that both frequency and attention to texting and social media were positively related to mobile phone interference in life (MPIL). However, frequency of music use during study was not associated with MPIL, although allocated attention to music while studying was positively associated with MPIL. Ownership of a smartphone and the number of Facebook friends were positively associated with MPIL and women reported more MPIL than men.
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.
Summary
We conducted a feasibility study of a 12-week walking intervention administered through an Interactive Voice Response (IVR) system and mobile phones. We also examined the added benefit of a human coach. Post-menopausal women (n = 71) were given a daily-steps goal, which they monitored using a pedometer. Each day, they answered an automated call from the IVR system to their mobile phone and provided assessments of walking goals and mood. Every evening, they called the IVR system to report their steps, answered a brief questionnaire and received a message with a helpful hint. Participants took less time to complete a one-mile walk after the intervention, compared to baseline (0.77 min, SE = 0.22, P< 0.001). In addition, a significant loss in body weight (0.93 kg, SE = 0.31) and body-mass index (0.28 kg/m2, SE = 0.11) were observed. The key psychometric measures of exercise goal setting (0.67 units, SE = 0.12) and exercise planning (0.48 units, SE = 0.09) also improved from baseline (both P< 0.001). However, results in the coach and no-coach conditions were not significantly different. The study suggests that mobile phones can be used to deliver an effective, low-cost walking intervention, irrespective of the addition of a human coach.
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