With for consumers; and as public adoption ramps

With the surging growth of the market surrounding smart homes, related industries are also seeing a boom in interest and expansion. Technologies such as machine learning have seen greatly increased interest in just the past year alone (Google Trends, 15th Jan. 2018), showing a related growth in other industries whose technologies smart home devices are based upon. The 2017 MadeByGoogle presentation (YouTube, 2017) focussed heavily on machine learning software and its relation to their current and expanding range of consumer smart home devices, whereas some other manufacturers put emphasis on hardware features or familiar software support. During presentations such as this, companies have generally been quick to assure customers of the security of their devices, providing selling points such as user data only being stored on-device, rather than being stored on a server. It is assumed these claims are somewhat responsible for the public acceptance of these devices following leaks and paranoia regarding government surveillance across the USA and UK in recent years.Of course there are devices such as WiFi-connected light bulbs or smarthome fitness devices that don’t have features required for mass surveillance and home privacy invasion. However, security systems and personal home assistants may be more susceptible to hacking exploits, viruses, or government legislation that may infringe on many homes’ privacy in years to come. These more fully featured devices have already been found to have defects and bugs that have caused some controversy over their security and the manufacturer’s intent (Android Police, 2017).Because smart home devices are a new and developing technology, their uses are currently very niche and many devices offer the same functionality. Hubs are the current major devices, which can connect to tertiary devices such as thermostats and light bulbs and control them. In the future, many new kinds of devices may see production for consumers; and as public adoption ramps up, new homes being built may include pre-installed devices. Many speculate that the integration of smart home devices and similar assistants into offices is the next major step for this technology’s development.As computers and AI become even more intrinsically linked to automating everyday life, new use-cases will arise for these kinds of devices. For example, current devices that can manage medicine schedules could be expanded, to involve either in-home diagnosis systems or more essential automated healthcare. Some devices in categories like this already exist, but are not widespread or practical enough to grab most people’s attention. As many technologies become more miniaturised, technology now seen in hospitals could be sold practically to consumers, whether for small quality of life improvements or necessary healthcare.Google Trends. Machine Learning Search Results (Past 5 Years). Available:https://trends.google.co.uk/trends/explore?date=today%205-y=machine%20learningLast Accessed: 14th January 2018.YouTube. Made By Google Livestream (4th October 2017). Available:https://www.youtube.com/watch?v=0YGoxbeSzLcLast Accessed: 15th January 2018.Android Police. Artem Russakovskii, Google is permanently nerfing all Home Minis because mine spied on everything I said 24/7 Update x2. Available:http://www.androidpolice.com/2017/10/10/google-nerfing-home-minis-mine-spied-everything-said-247/Last Accessed: 15th January 2018.Forbes. 14 Predictions For The Future Of Smart Home Technology. Available:https://www.forbes.com/sites/forbestechcouncil/2018/01/12/14-predictions-for-the-future-of-smart-home-technology/#51d5643e2e21Last Accessed: 16th January 2018.