This paper introduces a graphical concept and an implementation for visualizing psychophysiological data in human computer interaction. Psychobiological measurements result in huge datasets, which are mandatory for the development of semi-automatic or automated emotion classification and hence a reliable planning and decision-making system called companion system. The mentioned amount of data calls for the need of making dependencies and coherences in those datasets visible for the human eye in addition to algorithmic pattern recognition and feature selection. Seeing through the data by exploring it playfully helps experts understanding the data structure and provokes nonspecialists’ curiosity.
CITATION STYLE
Pross, F., Hazer, D., Traue, H. C., & Hoffmann, H. (2015). A concept for visualizing psychophysiological data in human computer interaction: The featureplotter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9172, pp. 97–106). Springer Verlag. https://doi.org/10.1007/978-3-319-20612-7_10
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