Information filtering, expertise and cognitive load

Abstract

Information filtering can be used to reduce cognitive load. However the expertise level of the user will greatly affect the effectiveness of information filtering. Any attempt to use neurophysiological measures of cognitive load for information filtering should take these effects into account in the design of the information filtering system. Combining information filtering, neurophysiological measurements of cognitive load and user modeling of expertise can improve performance. An integrated architecture for combining these techniques is described along with its application to routing information within a crisis management team. © Springer-Verlag Berlin Heidelberg 2007.