To make interaction on larger ensembles scalable in pervasive environments, three areas of interest and research questions have to be answered in the scope of this priority programme.
- Design of efficient and meaningful scalable interaction paradigms for pervasive computing environments: What are potential interaction paradigms for pervasive computing environments, i.e., distributed ensembles computational devices? How to design cross-domain interaction paradigms, i.e., a basic vocabulary of interaction for future pervasive environments? How to address issues of efficiency as well as broader aspects of meaning and wellbeing through these interaction paradigms?
- Rigorous and robust evaluation of scalable interaction paradigms in pervasive computing environments: What are the methods to evaluate interaction paradigms in-situ? How far can we extend unsupervised observation techniques by modern sensor technology to reach reliable understanding of the usage of pervasive computing environments? How to design scalable evaluation methods in which model-based simulation of user interaction can speed up the design phase and early design phases and select promising interaction designs early in the design process?
- Assessment of the success of interaction paradigms in pervasive computing environments: What are the metrics that measure and describe actual success, effectiveness and satisfaction in large settings of pervasive computing environments? What is the score and value under which we rate a design effectiveand efficient but also meaningful and pleasant for an individual? What is a good balance traditional performance metrics such as task performance and error rate versus user experience, joy of use and well-being? What are meaningful testbeds to verify the results?