@incollection{kuster_measuring_2017,
	address = {Cham},
	title = {Measuring {Emotions} {Online}: {Expression} and {Physiology}},
	isbn = {978-3-319-43639-5},
	url = {10.1007/978-3-319-43639-5_5">https://doi.org/10.1007/978-3-319-43639-5_5},
	abstract = {Cyberemotions refer to emotions in networks that are a complex function of emotional states in individuals. Thus, measuring cyberemotions frequently involves attempts to estimate emotional states in individuals. Yet, this is not easy, as emotions in individuals are characterized by limited cohesion of the components of response, such as expression in the face, voice, and body, central and peripheral physiological changes, changes in action readiness, as well as subjective experience. There is no gold standard that would identify any of these components by a single criterion. In consequence, modern experimental emotion research has focused on multi-modal assessment of emotions. Different components are targeted at identifying the valence of responses, or the intensity. We will describe paradigms that are particularly tailored for research in the context of cyberemotions and illustrate these with concrete examples of data recorded in our laboratory.},
	booktitle = {Cyberemotions: {Collective} {Emotions} in {Cyberspace}},
	publisher = {Springer International Publishing},
	author = {Küster, Dennis and Kappas, Arvid},
	editor = {Holyst, Janusz A.},
	year = {2017},
	doi = {10.1007/978-3-319-43639-5_5},
	pages = {71--93}
}