IoT is a complex technology that involves using many different IoT systems. Some processing is made automatically and lots of attention and skill is required to be aware of the implications of all the actions taken by the tools. Thus, it often happens that only a selective group will benefit from some concrete products based on IoT technologies, mostly people with higher education or incomes, strong social support, young people, etc. This may leave out of the technological adoption other groups such as older people, low income or low educational groups, disabled people, etc. These circumstances create an unfair scenario, which is particularly unacceptable if we talk about tools that may be used to provide citizens access to public services.
IoT system should be designed in a way that facilitates that preferences and needs of the users are translated to the tool in a distributed, cooperative manner so that appropriate decisions about the resources being controlled are made. Providing active support that allows IoT users benefit from the system is highly recommendable. Better usability will reduce demand for technical skills, whereas improved comprehensibility will reduce higher-order skills requirements. This, of course, includes the decision of sharing some data or allowing processing and automated decision-making. Furthermore, if the IoT tool needs to incorporate tools designed by third parties (apps, for instance), the developers should opt for those who work better in order to avoid digital discrimination.
1Van Deursen, A. J. A. M., & Mossberger, K. (2018). Any thing for anyone? A new digital divide in internet-of-things skills. Policy and Internet, 10(2), 122–140. ↑
2Urquhart, L., Sailaja, N. & McAuley, D. Realising the right to data portability for the domestic Internet of things. Pers Ubiquit Comput 22, 317–332 (2018). ↑