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Conference Paper/Proceeding/Abstract 675 views 224 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

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DOI (Published version): 10.1109/PacificVis.2019.00020

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
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URI: https://cronfa.swan.ac.uk/Record/cronfa48170
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first_indexed 2019-03-11T14:00:01Z
last_indexed 2020-07-01T19:02:02Z
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spelling 2020-07-01T13:45:07.1413716 v2 48170 2019-01-14 Emoji and Chernoff - A Fine Balancing Act or are we Biased? 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2019-01-14 SCS 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. Conference Paper/Proceeding/Abstract 2019 IEEE Pacific Visualization Symposium (PacificVis) 102 111 Bangkok, Thailand 978-1-5386-9227-1 978-1-5386-9226-4 2165-8765 2165-8773 1 8 2019 2019-08-01 10.1109/PacificVis.2019.00020 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2020-07-01T13:45:07.1413716 2019-01-14T21:24:18.8849943 Ricardo Colasanti 1 Rita Borgo 2 Mark Jones 0000-0001-8991-1190 3 0048170-14012019212512.pdf 2019_GlyphBalancing.pdf 2019-01-14T21:25:12.8300000 Output 723025 application/pdf Accepted Manuscript true 2020-08-01T00:00:00.0000000 true eng
title Emoji and Chernoff - A Fine Balancing Act or are we Biased?
spellingShingle Emoji and Chernoff - A Fine Balancing Act or are we Biased?
Mark Jones
title_short Emoji and Chernoff - A Fine Balancing Act or are we Biased?
title_full Emoji and Chernoff - A Fine Balancing Act or are we Biased?
title_fullStr Emoji and Chernoff - A Fine Balancing Act or are we Biased?
title_full_unstemmed Emoji and Chernoff - A Fine Balancing Act or are we Biased?
title_sort Emoji and Chernoff - A Fine Balancing Act or are we Biased?
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark Jones
author Mark Jones
author2 Ricardo Colasanti
Rita Borgo
Mark Jones
format Conference Paper/Proceeding/Abstract
container_title 2019 IEEE Pacific Visualization Symposium (PacificVis)
container_start_page 102
publishDate 2019
institution Swansea University
isbn 978-1-5386-9227-1
978-1-5386-9226-4
issn 2165-8765
2165-8773
doi_str_mv 10.1109/PacificVis.2019.00020
document_store_str 1
active_str 0
description 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.
published_date 2019-08-01T03:58:28Z
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score 11.01628

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