Using physiological signals to measure the Quality-of-Experience of Health Care Professionals when interacting with a clinical guideline mobile app

Abstract

Digital content adaptation and personalisation is a crucial component in increasing user engagement, and becoming of interest to designers/developers in areas related to clinical information delivery. In order to achieve this, new data-intensive methods are required that go beyond traditional user-centred design approaches. In this position paper, we discuss how although user-centred design has shown to be useful for generating generalised design guidelines (predominantly driven by qualitative data collection techniques), more quantitative methods and the use of measures such as Quality of Experience, could not only augment standard user research methods but also provide data to inform the adaption and personalisation of interfaces. In this paper we propose a solution-by-design to gather personal preferences through users' physiological data (using pupillometry) and how it would be useful for applications such as mobile apps for clinical guidelines, where access to in-situ data collection is increasingly more challenging.