A framework of technology-supported emotion measurement
K. Thoring (TU Delft - OLD Design Theory and Methodology)
Frederik Bellermann (Technische Hochschule Ostwestfalen-Lippe, Technische Universität Dresden)
RM Mueller (Berlin School of Economics and Law)
PG Badke-Schaub (TU Delft - OLD Design Theory and Methodology)
Pieter M.A. Desmet (TU Delft - Form and Experience)
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Abstract
Emotion measurement is a vital aspect for new product development and product improvements (see e.g. P. Desmet & Schifferstein, 2012). Nowadays, new technological devices, data mining, and social media offer many opportunities to invigorate design research. This paper tries to combine both aspects by exploring the question, how new technologies can be utilized for emotion-focused design research. The range of applicable technologies spans from eye-tracking, to EEG measuring, to semiautomated facial expression recognition in photographs or texts based on data mining technologies or crowdsourcing, etc. Furthermore, many traditional technologies for emotion tracking are becoming smaller and mobile, which allows also in-field research (e.g. mobile EEG headsets). Triangulating different data sources might result in new insights and improve user research significantly. This paper provides an overview of related literature indicating the current state of emotion measurement in the design field, and presents a framework that outlines possible new approaches utilizing new technologies. Thus, this work might contribute as a source of inspiration for other researchers to develop new research approaches for technology-supported emotion measurement.