characterising user interaction to inform information-fusion-driven decision support
Motivation -- The motivation is to extend the current technology driven design approach in information fusion by characterising how users interact with and are active components in information fusion based decision support. Research approach -- A combination of theoretical and empirical investigations has been chosen to examine how users interact with information fusion based decision support. Findings/Design -- The results define the building blocks for a future framework. So far, a new decision support class, i.e., fusion driven decision support, has been suggested. The class characterises the information fusion process, the users' role, and factors that affect interactions with such systems. Also, the result indicates that Distributed Cognition is a useful tool for capturing semi-automated information fusion processes. Research limitations/Implications -- So far, the building blocks for a framework, which capture users and information fusion systems, have been identified and further studies are needed in order to fully develop the framework. Originality/Value -- The characterisation of the user makes a contribution to the technologically oriented research field of information fusion, which most often considers users as passive receivers of information. In addition, the research makes a contribution to the field of decision support by extending the current list of decision support classes with semi-automated decision support. Take away message -- Unlike common beliefs, the information fusion process extends the boundary of the physical system, to include humans, technology, tools and the interactions among them.
user interaction decision support information fusion