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Smart Everything: Machine Sensing & Awareness


In general, each individual device gives a small amount of data but the important thing to remember is how many people have the same devices due to trends in the market which gives big data. This is why the internet of things is so influential, as it can give a whole mass of data. As humans, it is in everyone’s day to day routine to give out some form of data because we all travel, communicate and spend money throughout the day. “The estimated number of connected ‘things’ was 1.8 billion in 2013 and is expected to reach 6 billion by 2020” (Janeček, 2018)

There are hundreds of new upcoming devices that are collecting data, such as Smart Toothbrushes, Bluetooth Insoles and even something called HAPIfork. The HAPIfork monitors what you eat, when you eat and it can track your eating habits. Technology like this has its pros and cons but can technology become too intrusive? People will be interested in capitalising the data that the HAPIfork collects and this is a form of data collection and surveillance. This isn’t just the case for HAPIfork either, this is the same for almost every digital device.

Netflix is a good example of how data can be used to personalise its interface to suit you. From a company’s point of view, the data that the users are providing them is helpful as they can see how many people are watching what programme and base new projects on this data. From an article about Netflix I read, “The company estimates that 75 percent of viewer activity is driven by recommendation.” (Vanderbilt, 2013) They use big data to allow their service to feel personalised to the user, this is a form of persuasive computing. Users would rather use a service that suits their personal needs rather than a service that is set the same for 1000’s of users.

Conversational data is another example of how computing is being used to collect data and create persuasive techniques in the technologies we use daily, many phone calls are recorded now. As well, there are sensors on devices that can give data while we are using an app which also gives data. Everyone with their global positioning sensor on can be tracked every second of the day; this includes location, duration and travel data which people are able to see. There are light sensors on phones track how many people look at their phones in the dark, this data can be used by health professionals for scientific research.

In terms of privacy, a lot of people don’t care about where their data goes, and we never really know what people are monitoring us for. Governments or companies hack us to extract from public data. Data has value to a number of different people for many different reasons. It’s used for target markets and for optimising business trends, improving health, improving security and law enforcement, improving sports performance, how many goals, where they run, data analytics. Health and big data is useful, doctors use diabetic data.


 Brown, P. (2018). Making or selling Internet of Things (IoT) devices? Six reasons you need to be thinking about data protection. [Blog] ICT. Available at: https://ico.org.uk/about-the-ico/news-and-events/blog-making-or-selling-internet-of-things-iot-devices-six-reasons-you-need-to-be-thinking-about-data-protection/ [Accessed 11 Dec. 2018].

 Dearden, L. (2018). Facial recognition to be deployed by police across London, sparking human rights concerns. Independant. [online] Available at: https://www.independent.co.uk/news/uk/home-news/facial-recognition-london-police-accuracy-human-rights-crime-database-a8422056.html [Accessed 30 Oct. 2018].

 Hapi.com. (2018). HAPI.com : Enjoy Your Food with HAPIfork by Jacques Lépine. [online] Available at: https://www.hapi.com/product/hapifork [Accessed 28 Oct. 2018].

 Janeček, V. (2018). Ownership of personal data in the Internet of Things. Computer Law & Security Review, [online] 34(5), pp.1039-1052. Available at: https://www.sciencedirect.com/science/article/pii/S0267364918300487 [Accessed 27 Oct. 2018].

Vanderbilt, T. (2013). THE SCIENCE BEHIND THE NETFLIX ALGORITHMS THAT DECIDE WHAT YOU'LL WATCH NEXT. [Blog] wired. Available at: https://www.wired.com/2013/08/qq-netflix-algorithm/ [Accessed 1 Nov. 2018].

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