TV and the iPad: How the Tablet is Redefining the Way We Watch

McCreery, Stephen; Krugman, Dean M.

doi:10.1080/08838151.2015.1093483

Cited by 14 publications

(7 citation statements)

References 14 publications

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“…For example, recent innovations in mobile technology (e.g. iPad introduced in 2010) allow adolescents to stream TV media on demand [32]. Future research on the nature of contemporary TV viewing among adolescents, including the online streaming via mobile technology, is warranted.…”

Section: Discussionmentioning

confidence: 99%

Screen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study

Göen

Bennie

Cocker

et al. 2020

Preventive Medicine

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The longitudinal trends of screen time, a highly prevalent behaviour in adolescents, are relatively unknown. This study examined longitudinal trends in screen time among a large sample of Australian primary school-aged children transitioning into secondary school-aged adolescence. Data were derived from the Longitudinal Study of Australian Children (LSAC). In 2010, 2,179 children (49.7% boys; 10.3±1.1 years) completed a time-use diary, recording their main activities during waking hours. This was repeated with the same sample in 2012 (12.4±0.5 years) and 2014 (14.4±0.5 years). Data were analyzed for time spent in TV viewing, computer use, electronic gaming, and social networking and online communication. Repeated-measures MANCOVA tests were performed to analyze trends in screen time. Trends were also analyzed by sex. Total screen time significantly increased (+85.9 min/day) over four years (ηp 2 = .010, P < .001), but differed by sex, with a larger increase in boys (boys: +41.6, girls: +22.7 min/day). Electronic gaming increased in boys (+43.2 min/day) and decreased in girls (−16.8 min/day). In contrast, girls reported larger increases in TV viewing (boys: +0.4, girls: +29.1 min/day), computer use (boys: +24.8, girls: +34.3 min/day) and time communicating online and social networking (boys: +4.3, girls: +15.2 min/day). To conclude, screen time among adolescents increases between the ages of 10 and 14 years, but differs by sex and screen time domain. Future screen time reduction interventions may choose to focus on recreational computer use and electronic gaming in boys and TV viewing and time spent communicating online and social networking for girls.

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Section: Discussionmentioning

confidence: 99%

Screen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study

Göen

Bennie

Cocker

et al. 2020

Preventive Medicine

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“…109,000) (Telkomsel.com, 2019) (Pratomo, 2019) The interview shows that the respondents who have strong intention admit that their activities as a student are intense and time consuming. The social factor of digital technology, mobile apps and social media are shown to impact this loss of viewership (Feldman, 2016;Bautista et al, 2016;McCreery & Krugman, 2015;Bondad-Brown et al, 2012) This research gives contribution to…”

Section: Resultsmentioning

confidence: 97%

Understanding the intention of generation Z on Netflix and Viu streaming services

Mumpuni

Amaliyah²,

Noor³

et al. 2021

PTVF

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Information and Technological sophistication makes consumer preferences’ change. In the past, TV became the only option if you wanted to watch entertainment. Now, various gadgets was available, offering internet-based entertainments. It is a huge market for wide range of products that enable multiple media consumption through combination on both traditional tech forms of media which allows individuals to retain a high level of control in their media use through on-demand media services like Netflix or Viu.This study aims to examine the affect of generation Z attitude and subjective norm to their intention in using streaming services with perspective explained in Theory of Reasoned Action. Generation Z is the generation who is born in the period of 1995 to 2010. The young people of Z generation very familiar with updated technology since their childhood. They used to modern and sophisticated gadgets intensively. Purposive random sampling was applied to collect the data from Diponegoro University’s student (N= 100). Further, quantitative and qualitative methods were invoked to analyze the data. The records of indepth-interview were transcribed and processed using Atlas TI. The results showed that respondents were likely less an intention nor subjectove norm in using streaming service. Thereafter, this study suggests that the content matters play an important role for generation Z in using streaming service, such as Netflix and Viu.

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“…Our participants acknowledge the "irresistibility" of the smartphone-it has a greater ability to get attention and foster engagement (e.g., Cameron & Geidner, 2014;Van Cauwenberge et al, 2014;McCreery & Krugman, 2015), but they perceive advantages and disadvantages to it.…”

Section: Attention Distributionmentioning

confidence: 91%

“…Another one is that the contemporary media landscape is causing cognitive changes that entail deep transformations in the production, distribution and reception systems, impacting content, business and cognitive skills (Pérez-Tornero, 2008;Jenkins, 2010;Van Cauwenberge, d'Haenens, & Beentjes, 2015). Also, there is no agreement in the literature about how attention (and engagement) can be measured: Methods are as diverse as experiments, observation, surveys, interviews, self-reported data, and triangulating different methods; recall and memory have been used as main criteria to measure attention (McCreery & Krugman, 2015).…”

Section: Attention-distribution During Multi-screeningmentioning

confidence: 99%

Multi-Needs for Multi-Screening: Practices, Motivations, and Attention Distribution

Dias

Serrano-Puche

2019

Pacla

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Multi-screening is an emergent but fast-growing and fast-changing practice, evolving along with the technologies that mediate it. This article presents a study on multi-screening, i.e., simultaneously or sequentially engaging with more than one screened-media. Based on the uses and gratifications theory, our study focused on the most common multi-screening scenario—engaging with the smartphone while watching TV—in order to explore triggers, motivations, gratifications, and attention distribution. The methodology is qualitative in nature, including ethnographic journals and follow-up interviews to a sample of 30 young adults, and the data was collected in Portugal and Spain. The activities performed on each device are usually disconnected and motivated by the need to enhance the entertainment afforded by the TV or to obtain a sense of efficiency. The attention is distributed in alternated periods, and the smartphone has a greater ability of demanding attention and retaining the engagement.

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TV and the iPad: How the Tablet is Redefining the Way We Watch

Cited by 14 publications

References 14 publications

Screen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study

Screen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study

Understanding the intention of generation Z on Netflix and Viu streaming services

Multi-Needs for Multi-Screening: Practices, Motivations, and Attention Distribution

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