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Conference Paper/Proceeding/Abstract 436 views 125 downloads

Emoji and Chernoff - A Fine Balancing Act or are we Biased?

Ricardo Colasanti, Rita Borgo, Mark Jones Orcid Logo

2019 IEEE Pacific Visualization Symposium (PacificVis), Pages: 102 - 111

Swansea University Author: Mark Jones Orcid Logo

Abstract

We seek to answer the question on whether different geometrical attributes within a glyph can bias interpretation of data. We focus on a specific visual encoding, the Emoji, and evaluate its effectiveness at encoding multidimensional features. Given the anthropomorphic nature of the encoding we seek...

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Published in: 2019 IEEE Pacific Visualization Symposium (PacificVis)
ISBN: 978-1-5386-9227-1 978-1-5386-9226-4
ISSN: 2165-8765 2165-8773
Published: Bangkok, Thailand 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa48170
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Abstract: We seek to answer the question on whether different geometrical attributes within a glyph can bias interpretation of data. We focus on a specific visual encoding, the Emoji, and evaluate its effectiveness at encoding multidimensional features. Given the anthropomorphic nature of the encoding we seek to quantify the amount of bias the encoding itself introduces, and use this to balance the Emoji glyph to remove that bias. We perform our analysis by comparing Emoji with Chernoff faces, of which they can be seen as direct descendant. Results shed light on how this new approach of feature tuning in glyph design can influence overall effectiveness of novel multidimensional encodings.
Start Page: 102
End Page: 111