A framework of technology-supported emotion measurement

Conference paper (2016)

Authors

K.C. Thoring OLD Design Theory and Methodology
Frederik Bellermann Technische Hochschule Ostwestfalen-Lippe, Technische Universität Dresden
Roland M. Mueller Berlin School of Economics and Law
P.G. Badke-Schaub OLD Design Theory and Methodology
P.M.A. Desmet Design Aesthetics - IDE
Research Group
Design Aesthetics (IDE) (TU Delft)
Copyright: © 2016 K.C. Thoring, Frederik Bellermann, Roland M. Mueller, P.G. Badke-Schaub, P.M.A. Desmet
User research Research methodologies and methods New technologies Emotion measurement Science theory
More Info
expand_more

Published Date

2016

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Design Aesthetics

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.