dc.contributor.author | Kovacevic, Nikola | en_US |
dc.contributor.author | Wampfler, Rafael | en_US |
dc.contributor.author | Solenthaler, Barbara | en_US |
dc.contributor.author | Gross, Markus | en_US |
dc.contributor.author | Günther, Tobias | en_US |
dc.contributor.editor | Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta | en_US |
dc.date.accessioned | 2020-05-24T13:52:05Z | |
dc.date.available | 2020-05-24T13:52:05Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-3-03868-106-9 | |
dc.identifier.uri | https://doi.org/10.2312/evs.20201059 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evs20201059 | |
dc.description.abstract | Decades of research in psychology on the formal measurement of emotions led to the concept of affective states. Visualizing the measured affective state can be useful in education, as it allows teachers to adapt lessons based on the affective state of students. In the entertainment industry, game mechanics can be adapted based on the boredom and frustration levels of a player. Visualizing the affective state can also increase emotional self-awareness of the user whose state is being measured, which can have an impact on well-being. However, graphical user interfaces seldom visualize the user's affective state, but rather focus on the purely objective interaction between the system and the user. This paper proposes two graphical user interface widgets that visualize the user's affective state, ensuring a compact and unobtrusive visualization. In a user study with 644 participants, the widgets were evaluated in relation to a baseline widget and were tested on intuitiveness and understandability. Particularly in terms of understandability, the baseline was outperformed by our two widgets. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
dc.subject | Human centered computing | |
dc.subject | Empirical studies in visualization | |
dc.subject | User studies | |
dc.subject | Information visualization | |
dc.title | Glyph-Based Visualization of Affective States | en_US |
dc.description.seriesinformation | EuroVis 2020 - Short Papers | |
dc.description.sectionheaders | Representation, Perception, and ML | |
dc.identifier.doi | 10.2312/evs.20201059 | |
dc.identifier.pages | 121-125 | |