Speech is about interaction. It is more than just passing
messages – the listener nods and finishes the sentence
for you. Interaction is so essentially a part of normal
speech, that non-interactive speech has its own name: it is
a monologue. It’s not normal. Normal speech is about
interaction. Privacy is a very natural part of such spoken
interactions. We intuitively lower our voices to a whisper
when we want to tell a secret. We thus change the way we
speak depending on the level of privacy. In a public
speech, we would not reveal intimate secrets. We thus
change the content of our speech depending on the level of
privacy. Furthermore, in a cafeteria, we would match our
speaking volume to the background noise. We therefore
change our speech in an interaction with the surroundings.
Overall, we change both the manner of speaking and its
content, in an interaction with our environment. Our
research team is interested in the question of how such
notions of privacy should be taken into account in the
design of speech interfaces, such as Alexa/Amazon,
Siri/Apple, Google and Mycroft. We believe that in the
design of good user-interfaces, you should strive for
technology which is intuitive to use. If your speech
assistant handles privacy in a similar way as a natural
person does, then most likely it would feel natural to the
user. A key concept for us is modelling the users’
experience of privacy. Technology should understand our
feelings towards privacy, how we experience it and act
accordingly. From the myData-perspective, this means that
all (speech) data is about interactions, between two or
more parties. Ownership of such data is then also shared
among the participating parties. There is no singular owner
of data, but access and management of data must always
happen in mutual agreement. In fact, the same applies to
many other media as well. It is obvious that chatting on
WhatsApp is a shared experience. Interesting (=good)
photographs are those which entail a story; "This is when
we went to the beach with Sophie." The myData concept
should be adapted to take into account such frequently
appearing real-life data. In our view, data becomes more
interesting when it is about an interaction. In other
words, since interaction is so central to our understanding
of the world, it should then also be reflected in our data
representations. To include the most significant data, we
should turn our attention from myData to focus on ourData.
Here, the importance of data is then dependent on, and even
defined by, with whom are you talking?
@inproceedings{Baeckstroem_19_whomareyou, author = {Bäckström, Tom and Das, Sneha and {Pérez Zarazaga}, Pablo and Sigg, Stephan and Findling, Rainhard and Laakasuo, Michael}, title = {With whom are you talking? Privacy in Speech Interfaces}, booktitle = {Proc.\ 4th annual conference of the MyData Global network ({MyData} 2019)}, year = {2019}, address = {Helsinki, Finland}, month = sep, note = { {Abstract with presentation, in print}} }