Techniques to predict human mobility -- i.e., to predict future whereabouts of individuals and groups of people -- can be leveraged by mobile personal assistants to provide information and services to users. We refer to mobile personal assistants (MPA) as applications that run on mobile devices and can help users to get their everyday tasks done. For instance, an MPA running on a smartphone or on a smart watch can detect when the user is about to go back home and accordingly switch on the heating.

Examples of existing commercial MPAs are applications like Google Now or Apple’s Siri.

Our research focuses on the development of techniques to predict human mobility and on their integration into MPAs. In particular, we aim to make existing MPAs able to exploit human mobility predictions and autonomously adapt to the context of the user.

By filling out this questionnaire, you will allow us to better understand the general attitude of users towards both human mobility predictions and the services they enable within existing and future MPAs.

The questionnaire contains 4 parts. Each part contains a number between 4 and 11 questions. Filling out the questionnaire should take approximately 15 minutes.

We thank you in advance for your invaluable help!

Paul Baumann, Silvia Santini