As new IoT-enabled technologies emerge, a growing number of devices will be linked to the Internet of Things to facilitate life. One of these devices is a voice assistant (VA) that uses an intelligent algorithm adopted by many older adults. VA opens up a new way for older adults to control their home and do some tasks over their home. Due to the nature of VA devices, they can collect, store, and share massive amounts of data. Those data can reveal and explore sensitive information such as health, finance, and location However, users are also exposed to various potential privacy risks, including an unauthorised third party gaining inappropriate access to a user’s personal information. Most people are unaware that a smart device has the ability to listen and send data [9]. Some may not even realise that their recordings are stored in the cloud [12]. Advertisers have also sought to exploit these devices’ insights into shoppers’ lives. Patent applications from Amazon and Google have described designs for using data they collect from smart speakers for targeted advertising . Traditional permission systems, such as smartphone operating systems, focus privacy controls on a handful of “sensitive” data types, such as a user’s location or contacts. However, there are many more types of information whose leakage may be considered a privacy violation by users. This is because it is impossible to divide information into “sensitive” and “not sensitive.” People freely share even “sensitive” information, like health facts, in certain situations, e.g., doctors, support groups, and families. On the other hand, they may consider their purchases not sensitive yet object to sharing their shopping habits. These apparent contradictions make sense if we observe that people feel upset when their information is shared in a way that runs counter to their expectations. Therefore,there is a need to develop effective privacy controls for the voice assistant to empower older people to control their privacy bythemselves in a propriate way. Moreover, there are contextual factors need to be understood and incorporated in the design of privacy controls, which is the topic of this work.
Research Questions:
What literature says?
What are the key ‘privacy features’ that Internet of Things Systems should provide to facilitate ageing independent living?
How do current support systems support those needs?
What are the key differences between vulnerable and non-vulnerable groups regarding privacy needs, and how should such needs be facilitated?
Can voice assistants help older people to control the privacy of smart devices?
How efficient is that? and compare (GUI vs VUI)
