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Emotion-Prints: Interaction-Driven Emotion Visualization on Multi-Touch Interfaces
Linnaeus University, Faculty of Technology, Department of Computer Science. Univ Kaiserslautern, Germany. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Univ Kaiserslautern, Germany.
Univ Kaiserslautern, Germany.
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2015 (English)In: Proceedings of SPIE 9397: Visualization and Data Analysis 2015, San Francisco, CA, USA, February 8-12, 2015 / [ed] David L. Kao, Ming C. Hao, Mark A. Livingston, and Thomas Wischgoll, SPIE - International Society for Optical Engineering, 2015, 9397-0A- p.Conference paper, Published paper (Refereed)
Abstract [en]

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. 

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2015. 9397-0A- p.
Series
Proceedings of SPIE, ISSN 0277-786X ; 9397
Keyword [en]
emotion visualization, emotion fingerprints, touch events, multi-touch interface, human-centered design, brain-computer interface
National Category
Human Computer Interaction Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-38564DOI: 10.1117/12.2076473ISI: 000350276200009Scopus ID: 2-s2.0-84923902436ISBN: 9781628414875 (print)OAI: oai:DiVA.org:lnu-38564DiVA: diva2:770059
Conference
SPIE 2015 Conference on Visualization and Data Analysis (VDA '15)
Available from: 2014-12-09 Created: 2014-12-09 Last updated: 2015-06-08Bibliographically approved

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Cernea, DanielKerren, Andreas

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Citation style
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