Contextual usage patterns in smartphone communication services

Karikoski, Juuso; Soikkeli, Tapio

doi:10.1007/s00779-011-0503-0

Cited by 49 publications

(23 citation statements)

References 30 publications

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“…However, he also concluded that the absolute magnitude of this correlation was so small that its ''practical relevance for MNOs is more than doubtful'' (Gerpott, 2010a, p. 441). Karikoski and Luukkainen (2011) and Karikoski and Soikkeli (2013) gathered objective usage data from a sample of 183 early adopters of a Nokia smartphone in Finland between 2008 and 2010. They found that SMS and MI services ''are used for different purposes .…”

Section: Conceptual Background and Research Questionsmentioning

confidence: 99%

SMS use intensity changes in the age of ubiquitous mobile Internet access – A two-level investigation of residential mobile communications customers in Germany

Gerpott

2015

Telematics and Informatics

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Section: Conceptual Background and Research Questionsmentioning

confidence: 99%

SMS use intensity changes in the age of ubiquitous mobile Internet access – A two-level investigation of residential mobile communications customers in Germany

Gerpott

2015

Telematics and Informatics

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“…Many studies have indicated the social impact that smartphones have made regarding social relations (Grant & Hsu, 2014;Kang & Jung, 2014;N. Park & Lee, 2012); smartphones facilitate interaction among people either by verbal conversation or by text and image messaging and spur the creation of social networks or enhance such networks (Karikoski & Soikkeli, 2013). N. Park and Lee (2012) examined the relationship between motives for smartphone use, social relationships, and psychological well-being.…”

Section: Interaction Competency Smartphone Selfefficacy and Behavmentioning

confidence: 99%

How does the smartphone usage of college students affect academic performance?

Han

2018

Computer Assisted Learning

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The present study aims to investigate the effects of smartphone use by college students on their perceived academic performance. Using five hypotheses derived from the literature related to smartphone use, the initial model was set up for path analysis to reveal the relationships among variables regarding college students' smartphone use in the academic setting. Moreover, multiple group analyses were additionally conducted to verify whether students exhibited different relationships in the hypothesized model depending on their majors. The results from path analyses showed that all path coefficients were positive and statistically significant, which indicated that all five hypothesized paths were supported. Above all, the results from multiple group analysis showed that one path (from Behavioural Intention to Use Smartphone to Academic Performance) differed significantly across groups. The findings from the current study provide educational policymakers and educators with information on how smartphone utilization in learning activities influences students' academic performance.

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“…Research relying on smartphone logs ranges from the particular analysis of the smartphone use [59] to more general digital mediated practices [60], sometimes focusing on specific age groups, such as teenagers [61] or older adults [48,62,63]. There is research interest in the mitigation of information overload for users while interacting with the smartphone [64] and on how the context of use affects the usage of mobile-based communication services [65]. Mobile logs can help to identify problematic usage [66] and overuse [67], and inform the analysis of the influence of socioeconomic status on smartphone usage [68].…”

Section: Smartphone Logs: Practicalities Of Data Collectionmentioning

confidence: 99%

Methodological Strategies to Understand Smartphone Practices for Social Connectedness in Later Life

Fernández-Ardèvol

Rosales

Loos

et al. 2019

Lecture Notes in Computer Science

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Digital practices in later life are not yet well understood. Therefore, this paper discusses the framework for a research design project that aims at tracing differences and similarities in how older adults use their smartphones in circumstances in and outside their homes in Spain, the Netherlands, Sweden, and Canada. The research questions of this international research project focus on the extent to which digital mobile practices relate to perceived social connectedness among older adults aged 55-79 years old. While studies have shown that the subjective experience of 'being connected' supports continued wellbeing in later life, there remains an insufficient understanding of the processes through which digital mediated social interaction is effective for social connectedness. The analytical framework of the project prioritizes the coconstituency of (digital) technology and ageing, and takes digital practices in everyday life as its entry point. The main data collection tool will be the tracking of smartphone activity of 600 older adults (150 per country) during four weeks. An online survey and qualitative interviews will gather data about the meanings of the quantified digital practices, and how they shape (if they do) the participants' connection to the world. This approach will allow us not only to get insight into what older adults say how they used their smartphone but also to

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Contextual usage patterns in smartphone communication services

Cited by 49 publications

References 30 publications

SMS use intensity changes in the age of ubiquitous mobile Internet access – A two-level investigation of residential mobile communications customers in Germany

SMS use intensity changes in the age of ubiquitous mobile Internet access – A two-level investigation of residential mobile communications customers in Germany

How does the smartphone usage of college students affect academic performance?

Methodological Strategies to Understand Smartphone Practices for Social Connectedness in Later Life

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