Share Email Print

Proceedings Paper

Emotion scents: a method of representing user emotions on GUI widgets
Author(s): Daniel Cernea; Christopher Weber; Achim Ebert; Andreas Kerren
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 4 February 2013
PDF: 14 pages
Proc. SPIE 8654, Visualization and Data Analysis 2013, 86540F (4 February 2013); doi: 10.1117/12.2001261
Show Author Affiliations
Daniel Cernea, Technische Univ. Kaiserslautern (Germany)
Linnaeus Univ. (Sweden)
Christopher Weber, Technische Univ. Kaiserslautern (Germany)
Achim Ebert, Technische Univ. Kaiserslautern (Germany)
Andreas Kerren, Linnaeus Univ. (Sweden)

Published in SPIE Proceedings Vol. 8654:
Visualization and Data Analysis 2013
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?