INNOVATIVE ANALYSIS METHODS FOR EYE- TRACKING DATA FROM DYNAMIC, INTERACTIVE AND MULTI- COMPONENT MAPS AND INTERFACES

摘要

In the cartographic community there has been an increase in the number of projects reporting on use of eye- tracking for user testing. The major part of the projects using eye - tracking uses static stimuli (Fabrikant et al. 2008, Brodersen et al. 2009, Garla ndini et al. 2009 and Fabrikant et al. 2010). Investigations with interactive or animated stimulus are surprisingly rare (Coltekin et al. 2009). Most eye-tracking software is geared towards static stimuli and thus, the provided analysis tools and methods a re also focused on static stimuli. Static stimuli are not always desired in cartographic research. Digital maps and map systems are becoming more and more interactive and dynamic. Contemporary examples are map animations, multi component map interfaces, web maps and virtual globes. Neither one have a single static representation that represents typical user behaviour. Thus the current methods of performing and analyzing eye - tracking experiments are ill- suited for these kinds of maps.