After decades of mixed reality (MR) research, researchers’ choice of MR-related questionnaires remains limited. A majority of questionnaires used by the community were originally developed for other media platforms. The application of such questionnaires in the context of MR risks undermining the validity of results. In this paper, we propose a method to map both MR and non-MR applications to a shared space to allow using questionnaires from similar non-MR applications as a starting point in the context of investigating their MR counterparts. We identify productivity-entertainment and passive-interactive spectra as two useful dimensions that cut across both MR and non-MR application areas, and combine them to create a 2-dimensional space. The idea is to find where in this space the MR application at hand fits, find its nearest non-MR neighbour, and use the questionnaire(s) targeted at the latter for the MR application under investigation. This approach has the potential to systematise questionnaire selection which in turn can make between-study comparisons more meaningful. We further suggest that research is required to develop new questionnaires that measure meaningful aspects of emerging MR experiences.
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