Futures research, communication and the use of information and communication technology in households in 2010: a reassessment

Bouwman, Harry; Duin, Patrick van der

doi:10.1177/1461444807076964

Cited by 10 publications

(10 citation statements)

References 37 publications

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“…Also in private spaces there is a need for mobile media, as some family members may wish to have their own personal mobile media device at home [20,36]. With regard to technology use trends, we see a shift in a focus away from devices that depend on a physical context towards more portable and mobile devices [2].…”

Section: Introductionmentioning

confidence: 99%

‘Podracing’: experimenting with mobile TV content consumption and delivery methods

et al. 2008

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Recently, mobile TV has been launched in several countries. While mobile TV integrates television contents into mobile phones, the most personal of communication devices, it becomes interesting to know how this feature will be used throughout the day and in varying contexts of everyday life. This paper presents empirical results on the use of mobile TV with different delivery mechanisms and both quantitative and qualitative results on how end-users prefer to use mobile TV contents in different situations. The data is based on ongoing empirical research in Finland in 2006 and 2007. The mobile TV services under study included both news and entertainment contents, and were tested in 3G, DVB-H and Wi-Fi networks using different delivery paradigms: broadcast, on-demand and download. To explore the use of different delivery methods and content consumption, we have developed a mobile TV service protoype, called Podracing. The analysis shows that users appreciated up-to-date information and information-rich media forms and contents especially for mobile news delivery. There was high demand for only the latest news on mobiles. The real-time property was considered important. Most of the users looked at the headlines or followed the news several times a day -much more often than the traditional TV and news prime times would allow.

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Section: Introductionmentioning

confidence: 99%

‘Podracing’: experimenting with mobile TV content consumption and delivery methods

et al. 2008

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“…Winston argues that social needs are more significant than specific features of the innovation or of the habits to use it. Diffusion of media technology is sometimes described in terms of technology determinism and fails to include a wider perspective of trends and social change (Bouwman & Van Der Duin 2007, Winston 1998). …”

Section: Theoretical Perspectivesmentioning

confidence: 99%

“…In order to understand the ongoing development, how it takes place in a social context, and also what will happen in the future, accumulated knowledge from activities and habits in the past are crucial (Bouwman & Van Der Duin 2007, Brügger 2013. When trying to predict digital exclusion in society, it is also important to have an understanding of diffusion patterns based on generalisable data on large populations in the longer term (Robinson et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Digital Equality and the Uptake of Digital Applications among Seniors of Different Age

Bergström¹

2017

Nordicom Review

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Ageing societies are facing challenges from the perspective of the use of information and communication technologies (ICTs). There is an increase in online services relevant for the economic, political, cultural and private life. Those who participate more fully in a digitally mediated social life enjoy advantages over their digitally disadvantaged counterparts. Today's digital divide is not first and foremost between pensioners and others, but between younger and older pensioners. Scholars identify the need for longitudinal research among younger and older seniors to understand the differences between more or less advantaged users. Based on longitudinal, representative surveys, the present study finds that there is a clear gap between younger and older seniors, and that it is closing only very slowly. Age and level of education are powerful explanatory factors whereas generational belonging and social capital contribute only to a limited extent to the understanding of Internet uptake among older adults.

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“…Despite this, it became the driving revenue stream for all telecommunications companies. Indeed, recent empirical studies of attempts at futurology have suggest that, amongst other problems, major reasons for failure have been an over-emphasis on technology determinism, a poor understanding of social trends and change, and finally, the overreliance on a linear progression model of change (Geels andSmit, 2000, Bouwman andVan Der Dun, 2007) Here we examine long-term societal trends in behaviour using time use data from the 1970s to the new millennium to show that in most measurable ways, the undoubted pervasiveness of modern information and communication technologies has had little discernable 'impact' on most human behaviours of sociological significance. We contrast this with observations from qualitative studies which illustrate how ICTs are changing the ways in which these behaviours are achieved; in other words, how ICTs are increasingly mediating (rather than impacting) everyday social practices.…”

Section: Introductionmentioning

confidence: 99%

ICT Futures

2008

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A snooker ball model implies that simple, linear and predictable social change follows from the introduction of new technologies. Unfortunately technology does not have and has never had simple linear predictable social impacts. In this chapter we show that in most measurable ways, the pervasiveness of modern information and communication technologies has had little discernable 'impact' on most human behaviours of sociological significance. Historians of technology remind us that human society co-evolves with the technology it invents and that the eventual social and economic uses of a technology often turn out to be far removed from those originally envisioned. Rather than using the snooker ball model to attempt to predict future ICT usage and revenue models that are inevitably wrong, we suggest that truly participatory, grounded innovation, open systems and adaptive revenue models can lead us to a more effective, flexible and responsive innovation process. IntroductionMuch human conduct is designed to avoid hazards and to promote beneficial returns. Indeed, this is the premise of the notion of 'risk societies' (Beck and BeckGernsheim, 2002) where individuals rely on past and current information to determine their future, predominantly risk aversive, behaviours. This idiom of human affairs embraces most areas of life. Meteorologists can (sometimes) help us avoid bad weather; seismologists can warn of areas of pending earthquakes and volcanic eruptions; economists inform business and governments of forthcoming growth trends and market stability; political scientists tell us which party is most likely to form the next government and climatologists warn of the dire consequences of global warming. Of course the central tenet of forecasting and prediction is that by studying past information we can -with some 'reasonable' degree of accuracy -project what is likely to happen in the future. However, there is no such thing as an exact science, and the confidence with which we can predict the future depends on the phenomena in question, the information available and the granularity of prediction that we require.This chapter concerns itself with predicting the future 'social implications' of Information Communication Technologies (ICTs). It is sobering to remember that the telephone was not originally conceived as a means of human to human (or human to machine) communication. This form of usage evolved over time often in direct contradiction to notions of 'proper use' (Pool, 1983, Fischer, 1992. Despite this, it became the driving revenue stream for all telecommunications companies. Indeed, recent empirical studies of attempts at futurology have suggest that, amongst other problems, major reasons for failure have been an over-emphasis on technology determinism, a poor understanding of social trends and change, and finally, the overreliance on a linear progression model of change (Geels and Smit, 2000, Bouwman andVan Der Dun, 2007)

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Futures research, communication and the use of information and communication technology in households in 2010: a reassessment

Cited by 10 publications

References 37 publications

‘Podracing’: experimenting with mobile TV content consumption and delivery methods

‘Podracing’: experimenting with mobile TV content consumption and delivery methods

Digital Equality and the Uptake of Digital Applications among Seniors of Different Age

ICT Futures

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