Abstract:This study investigated the relationships among smartphone app use, social capital, and social isolation. It focused on two different smartphone apps--communication and social networking site (SNS) apps--and their effects on bonding and bridging social capital. Generational differences in smartphone use were also considered. Results from hierarchical regression analyses indicated that individuals' use of communication apps was helpful for increasing social capital and that this effect of using communication ap… Show more
“…These findings can provide researchers with opportunities to expand their understanding of the micro-mechanisms involved in adopting and using smart devices. Because previous research on smart devices has focused mostly on use among people without disabilities (Cho, 2015;Kim et al, 2011;Park and Lee, 2012), their findings cannot be fully applied to understanding what is occurring within the disabled population. Therefore, this study's main findings shed light on the contextualized and specialized mechanisms of using smart devices among this particular group of people with physical disabilities.…”
Section: Discussionmentioning
confidence: 99%
“…Third, it is well known that new communication technologies, especially social media, are actively used for social interactions or creating and maintaining interpersonal relationships (Cho, 2015;Park and Lee, 2012). Particularly, research on the relationships between social media and social capital have confirmed the usefulness of such communication technologies for developing new interpersonal connections in the form of bridging social capital as well as strengthening existing personal ties or bonding social capital (Hofer and Aubert, 2013).…”
Section: Motivations For Smart Device Usementioning
confidence: 99%
“…Particularly, research on the relationships between social media and social capital have confirmed the usefulness of such communication technologies for developing new interpersonal connections in the form of bridging social capital as well as strengthening existing personal ties or bonding social capital (Hofer and Aubert, 2013). Smart devices offer various communication functions such as phone calls, texting or instant messaging, email, and social networking, which allow users to cultivate personal relationships (Cho, 2015;Park and Lee, 2012). Therefore, we consider personal relationships as a third primary motive for using communication technologies.…”
Section: Motivations For Smart Device Usementioning
confidence: 99%
“…For thorough investigation, we differentiated between two dimensions of information. Based on previous research on motivations for using smart devices (Cho, 2015;Park and Lee, 2012), we first assessed individuals' seeking of information related to everyday life. For this variable (M = 3.54, SD = 0.77, a = 0.72), which we coined daily-information seeking, participants were asked to report how much they agreed to using smart devices for the following reasons: a) to read online news, b) to find information on maps and routes, and c) to find information on public transportation (bus, subway, taxi).…”
“…These findings can provide researchers with opportunities to expand their understanding of the micro-mechanisms involved in adopting and using smart devices. Because previous research on smart devices has focused mostly on use among people without disabilities (Cho, 2015;Kim et al, 2011;Park and Lee, 2012), their findings cannot be fully applied to understanding what is occurring within the disabled population. Therefore, this study's main findings shed light on the contextualized and specialized mechanisms of using smart devices among this particular group of people with physical disabilities.…”
Section: Discussionmentioning
confidence: 99%
“…Third, it is well known that new communication technologies, especially social media, are actively used for social interactions or creating and maintaining interpersonal relationships (Cho, 2015;Park and Lee, 2012). Particularly, research on the relationships between social media and social capital have confirmed the usefulness of such communication technologies for developing new interpersonal connections in the form of bridging social capital as well as strengthening existing personal ties or bonding social capital (Hofer and Aubert, 2013).…”
Section: Motivations For Smart Device Usementioning
confidence: 99%
“…Particularly, research on the relationships between social media and social capital have confirmed the usefulness of such communication technologies for developing new interpersonal connections in the form of bridging social capital as well as strengthening existing personal ties or bonding social capital (Hofer and Aubert, 2013). Smart devices offer various communication functions such as phone calls, texting or instant messaging, email, and social networking, which allow users to cultivate personal relationships (Cho, 2015;Park and Lee, 2012). Therefore, we consider personal relationships as a third primary motive for using communication technologies.…”
Section: Motivations For Smart Device Usementioning
confidence: 99%
“…For thorough investigation, we differentiated between two dimensions of information. Based on previous research on motivations for using smart devices (Cho, 2015;Park and Lee, 2012), we first assessed individuals' seeking of information related to everyday life. For this variable (M = 3.54, SD = 0.77, a = 0.72), which we coined daily-information seeking, participants were asked to report how much they agreed to using smart devices for the following reasons: a) to read online news, b) to find information on maps and routes, and c) to find information on public transportation (bus, subway, taxi).…”
“…Communication and SNS applications are effective for increasing social capital that can decrease an individual's social isolation (Cho, 2015). Furthermore, SNS and mobile communication promote offline social interaction, not replace it, by providing channels for meeting new people and talking with friends (Jacobsen & Forste, 2011).…”
Section: Adolescents' Smartphone Use Landscapesmentioning
Smartphones have become an integral part of our lives, significantly affecting adolescents' media consumption behaviors, and social issues such as smartphone addiction or problematic usage have been raised. Concerned parents have applied various mediation strategies; however, most were ineffective and created further conflicts between parents and adolescents. Contrary to the perceived seriousness of smartphone addiction, less than 10% of the users are actually diagnosed as in high-risk groups. Rather than treating those identified as addicts, preventive intervention strategies should be made available to broader populations to reduce overall problematic uses. This paper suggests a framework of preventive intervention programs to promote adolescents' healthy smartphone use through a series of case studies. In the first study, three smartphone user groups with different usage motivations and behavior patterns were identified. In the second study, the difficulties in smartphone mediation process were compared from perspectives of both parents and children. The results indicated that each household with diverse family cultures need customized intervention programs. In the third study, parent-child dyads participated in mutual rule-shaping workshops to support adolescents' healthy smartphone use and reduce conflicts. As a result, they were able to reflect their daily smartphone usage patterns and realized the necessity of a continuous negotiation process for rule-shaping according to usage contexts. Based on implications from these studies, we suggest activity design of online and offline integrated services system to facilitate adolescents' healthy smartphone usage habits.
College students today suffer more than ever from depressive symptoms. This web‐based survey collected both subjective self‐reported and objectively measured mobile screen time from smartphones' screen time reporting feature from 426 and 175 college students, respectively. Depressive symptoms were measured by the 10‐item Center for Epidemiologic Studies Short Depression Scale. Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (95% CI), adjusting for gender, race/ethnicity, age, employment, first‐generation student status, sexual orientation, social support, and social ladder. Compared to those with 3.05 or fewer hours of objectively measured daily mobile screen time, those with 3.10–5.68 hr did not have increased odds of depressive symptoms, while those with more than 5.72 hr had significantly higher odds, (OR: 3.49, 95% CI: 1.24–9.86). Restricted cubic spline of the association between objectively measured daily mobile screen time and depressive symptoms further confirms the threshold effect—the probability of depressive symptoms holds relatively steady until about 5 hr of daily mobile screen time and then shows a sharp rise. Findings suggest a nonlinear relationship between mobile screen time and depressive symptoms which, despite a moderate positive correlation between self‐reported and objectively measured average daily mobile screen time (r = .51, p < .001), has not be captured using self‐reported mobile screen time. Future studies should objectively measure mobile screen time and college students at risk for depressive symptoms should consider limiting their mobile screen time to about 5 hr per day.
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