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Usability is a big challenge for medical software, on one side because data are of large size and complex and on the other because the context of use is critical. We know that clinicians call for the right amount and to this regard, adaptive user interfaces can help not only identifying these information needs but also alleviating the data overload. However, before implementing user interface adaptations, these particular information demands have to be identified and prioritised. Eye-trackers can help accomplishing such tasks, since they can gather the visual behaviour of users, which depict interest, but using them in a deployed system requires a complex infraestructure. In this contribution, we analyse whether visual behaviour of users on a medication safety dashboard can be inferred from their interaction data. The results show that the use of the mouse interaction and visual behaviour (cognitive load) are somehow connected, measured in terms of the following features respectively: dwell time and mouse hovers between two consecutive clicks, and duration of gaze fixations. The article discusses the significance of this statement for the design of adaptations in medical dashboards.

Arbel mediko baten erabileraren azterketa: nolako elkarrekintza halako portaera-bisuala