
Proceedings Paper
Emotion-prints: interaction-driven emotion visualization on multi-touch interfacesFormat | Member Price | Non-Member Price |
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Paper Abstract
Emotions are one of the unique aspects of human nature, and sadly at the same time one of the elements that
our technological world is failing to capture and consider due to their subtlety and inherent complexity. But
with the current dawn of new technologies that enable the interpretation of emotional states based on techniques
involving facial expressions, speech and intonation, electrodermal response (EDS) and brain-computer interfaces
(BCIs), we are finally able to access real-time user emotions in various system interfaces. In this paper we
introduce emotion-prints, an approach for visualizing user emotional valence and arousal in the context of
multi-touch systems. Our goal is to offer a standardized technique for representing user affective states in the
moment when and at the location where the interaction occurs in order to increase affective self-awareness,
support awareness in collaborative and competitive scenarios, and offer a framework for aiding the evaluation
of touch applications through emotion visualization. We show that emotion-prints are not only independent
of the shape of the graphical objects on the touch display, but also that they can be applied regardless of the
acquisition technique used for detecting and interpreting user emotions. Moreover, our representation can encode
any affective information that can be decomposed or reduced to Russell's two-dimensional space of valence and
arousal. Our approach is enforced by a BCI-based user study and a follow-up discussion of advantages and
limitations.
Paper Details
Date Published: 8 February 2015
PDF: 15 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970A (8 February 2015); doi: 10.1117/12.2076473
Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)
PDF: 15 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970A (8 February 2015); doi: 10.1117/12.2076473
Show Author Affiliations
Daniel Cernea, Technische Univ. Kaiserslautern (Germany)
Linnaeus Univ. (Sweden)
Christopher Weber, Technische Univ. Kaiserslautern (Germany)
Linnaeus Univ. (Sweden)
Christopher Weber, Technische Univ. Kaiserslautern (Germany)
Achim Ebert, Technische Univ. Kaiserslautern (Germany)
Andreas Kerren, Linnaeus Univ. (Sweden)
Andreas Kerren, Linnaeus Univ. (Sweden)
Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)
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