Iot: A New Dimension of Digital Divide

Rasheva-Yordanova, Katia; Kostadinova, Iva; Toleva-Stoimenova, Stefka

doi:10.21125/iceri.2021.0482

Cited by 2 publications

(2 citation statements)

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“…This adoption is necessary because these technologies are the primary operation platforms of IoT home automation (Balta-Ozkan et al, 2013;Karadal and Abubakar, 2021). In addition, elderly Internet-technology users have less access to support and may be impaired by their mental and physical conditions (Brown et al, 2013;Rasheva-Yordanova et al, 2021). These findings led to the following hypothesis:…”

Section: Predictors Of Digital Skills For Iotmentioning

confidence: 99%

“…Also, they have better (educational and financial) opportunities to keep up with technological advancements and access to modular devices compared with those who attained lower education (Balta-Ozkan et al, 2013). Thus, adopters of IoT home automation are generally higher educated (Shin et al, 2018), which provides them with early opportunities to develop digital skills to make use of the potential of IoT home automation (Rasheva-Yordanova et al, 2021;Van der Zeeuw et al, 2020). Higher educated users of Internet technologies are known to possess more advanced digital skills (Scheerder et al, 2017).…”

Section: Predictors Of Digital Skills For Iotmentioning

confidence: 99%

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The lights are on, but no one’s home: A performance test to measure digital skills to use IoT home automation

Boer

Deursen

Rompay

2022

New Media & Society

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As the Internet of Things (IoT) is making its entrance in people’s homes, differences in the skills to operate smart home devices need to be considered. This study examined (1) the levels of digital skills to use IoT home automation among Dutch adult citizens and (2) differences of these skills over gender, age, and education. Therefore, a performance test with actual real-life tasks was conducted among a representative sample ( N = 99) of the Dutch adult population to measure digital skill levels. The participants performed tasks while using interconnected smart home devices in a virtual test environment. The results revealed that the Dutch adult population possesses insufficient data and strategic skills to use smart home devices to its full potential. Even less likely to benefit are the elderly and less educated; they showed the lowest levels of data and strategic skills. In addition, the elderly lack operational skills to use IoT home automation beneficially.

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