Towards a taxonomy of quantitative emotion measurement using wearables for inclusive user experience research

User experience research is important to improve the quality and usability of products and applications. The current methods of measuring emotions are mostly subjective, qualitative, and use techniques that are not inclusive to all potential user groups. Quantitative emotion measurement using wearables can offer new possibilities for user experience research because it is inclusive, objective, and does not require cognitive input from the user. This paper presents a taxonomy of the emotion measurement domain which was created with a systematic literature review. 38 papers about emotion measurement were reviewed to increase understanding of what sensors are used, what emotions can be measured, how the data is handled, what accuracies can be achieved, and if the user group influences emotion measurement. The resulting taxonomy can provide other researchers an overview of the current state of emotion measurement and help in determining what sensor and emotion combinations fit their needs to create their own inclusive emotion measurement system.