Paper
4 February 2013 Emotion scents: a method of representing user emotions on GUI widgets
Daniel Cernea, Christopher Weber, Achim Ebert, Andreas Kerren
Author Affiliations +
Proceedings Volume 8654, Visualization and Data Analysis 2013; 86540F (2013) https://doi.org/10.1117/12.2001261
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
The world of desktop interfaces has been dominated for years by the concept of windows and standardized user interface (UI) components. Still, while supporting the interaction and information exchange between the users and the computer system, graphical user interface (GUI) widgets are rather one-sided, neglecting to capture the subjective facets of the user experience. In this paper, we propose a set of design guidelines for visualizing user emotions on standard GUI widgets (e.g., buttons, check boxes, etc.) in order to enrich the interface with a new dimension of subjective information by adding support for emotion awareness as well as post-task analysis and decision making. We highlight the use of an EEG headset for recording the various emotional states of the user while he/she is interacting with the widgets of the interface. We propose a visualization approach, called emotion scents, that allows users to view emotional reactions corresponding to di erent GUI widgets without in uencing the layout or changing the positioning of these widgets. Our approach does not focus on highlighting the emotional experience during the interaction with an entire system, but on representing the emotional perceptions and reactions generated by the interaction with a particular UI component. Our research is motivated by enabling emotional self-awareness and subjectivity analysis through the proposed emotionenhanced UI components for desktop interfaces. These assumptions are further supported by an evaluation of emotion scents.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Cernea, Christopher Weber, Achim Ebert, and Andreas Kerren "Emotion scents: a method of representing user emotions on GUI widgets", Proc. SPIE 8654, Visualization and Data Analysis 2013, 86540F (4 February 2013); https://doi.org/10.1117/12.2001261
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Visualization

Human-machine interfaces

Computer programming

Electroencephalography

Brain-machine interfaces

Databases

Visual analytics

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