Personal Healthcare is playing a very important role in our life. In the United States for example, Personal Healthcare expenditures have surpassed $1 trillion. This amount is expected to double in the next decade. In order to provide efficient healthcare services it is expected that intelligent technology will play an important role in bringing personalised services into the home environment. The intelligence of such technology can range from short-term personalisation, to real time adaptation and even anticipation. With the advances in sensor technology and adaptive algorithms, the technological feasibility of these systems is assured. However, their actual introduction into our daily lives is threatened by the user's acceptance for perceptive and reasoning systems. One of the reasons for this is that these systems create additional expectancies: users expect a system that can perceive and reason to also adhere to social conventions with regard to the confidential treatment of personal information. Such a system would then be viewed as social intelligent. Bringing social intelligence into interactive systems, however, is not a trivial mater.
This SIFT MC-ToK project will develop system design guidelines for bringing social intelligence into interactive systems in order to create trust in and acceptance of tele-healthcare applications. One very important component in this work is the development of scientific measurement instruments for the assessment of social intelligence. For this, this SIFT ToK project will develop a standardised and normative questionnaire for measuring the concept of social intelligence in interactive systems.