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Assessing the impact of typeface design in a text-rich automotive user interface

Identifieur interne : 000A45 ( Ncbi/Merge ); précédent : 000A44; suivant : 000A46

Assessing the impact of typeface design in a text-rich automotive user interface

Auteurs : Bryan Reimer ; Bruce Mehler ; Jonathan Dobres ; Joseph F. Coughlin ; Steve Matteson ; David Gould ; Nadine Chahine ; Vladimir Levantovsky

Source :

RBID : PMC:4267594

Abstract

Text-rich driver–vehicle interfaces are increasingly common in new vehicles, yet the effects of different typeface characteristics on task performance in this brief off-road based glance context remains sparsely examined. Subjects completed menu selection tasks while in a driving simulator. Menu text was set either in a ‘humanist’ or ‘square grotesque’ typeface. Among men, use of the humanist typeface resulted in a 10.6% reduction in total glance time as compared to the square grotesque typeface. Total response time and number of glances showed similar reductions. The impact of typeface was either more modest or not apparent for women. Error rates for both males and females were 3.1% lower for the humanist typeface. This research suggests that optimised typefaces may mitigate some interface demands. Future work will need to assess whether other typeface characteristics can be optimised to further reduce demand, improve legibility, increase usability and help meet new governmental distraction guidelines.

Practitioner Summary: Text-rich in-vehicle interfaces are increasingly common, but the effects of typeface on task performance remain sparsely studied. We show that among male drivers, menu selection tasks are completed with 10.6% less visual glance time when text is displayed in a ‘humanist’ typeface, as compared to a ‘square grotesque’.


Url:
DOI: 10.1080/00140139.2014.940000
PubMed: 25075429
PubMed Central: 4267594

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PMC:4267594

Le document en format XML

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<p>Text-rich driver–vehicle interfaces are increasingly common in new vehicles, yet the effects of different typeface characteristics on task performance in this brief off-road based glance context remains sparsely examined. Subjects completed menu selection tasks while in a driving simulator. Menu text was set either in a ‘humanist’ or ‘square grotesque’ typeface. Among men, use of the humanist typeface resulted in a 10.6% reduction in total glance time as compared to the square grotesque typeface. Total response time and number of glances showed similar reductions. The impact of typeface was either more modest or not apparent for women. Error rates for both males and females were 3.1% lower for the humanist typeface. This research suggests that optimised typefaces may mitigate some interface demands. Future work will need to assess whether other typeface characteristics can be optimised to further reduce demand, improve legibility, increase usability and help meet new governmental distraction guidelines.</p>
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<bold>Practitioner Summary:</bold>
Text-rich in-vehicle interfaces are increasingly common, but the effects of typeface on task performance remain sparsely studied. We show that among male drivers, menu selection tasks are completed with 10.6% less visual glance time when text is displayed in a ‘humanist’ typeface, as compared to a ‘square grotesque’.</p>
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<article-id pub-id-type="pmc">4267594</article-id>
<article-id pub-id-type="doi">10.1080/00140139.2014.940000</article-id>
<article-id pub-id-type="publisher-id">940000</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessing the impact of typeface design in a text-rich automotive user interface</article-title>
<fn-group>
<fn>
<p>An earlier presentation of this work appears as a white paper (Reimer, Mehler, and Coughlin
<xref rid="cit0032" ref-type="bibr">2012</xref>
).</p>
</fn>
</fn-group>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Reimer</surname>
<given-names>Bryan</given-names>
</name>
<xref ref-type="aff" rid="aff0001">
<sup>a</sup>
</xref>
<xref ref-type="corresp" rid="an0001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mehler</surname>
<given-names>Bruce</given-names>
</name>
<xref ref-type="aff" rid="aff0001">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dobres</surname>
<given-names>Jonathan</given-names>
</name>
<xref ref-type="aff" rid="aff0001">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Coughlin</surname>
<given-names>Joseph F.</given-names>
</name>
<xref ref-type="aff" rid="aff0001">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matteson</surname>
<given-names>Steve</given-names>
</name>
<xref ref-type="aff" rid="aff0002">
<sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gould</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="aff0002">
<sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chahine</surname>
<given-names>Nadine</given-names>
</name>
<xref ref-type="aff" rid="aff0002">
<sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Levantovsky</surname>
<given-names>Vladimir</given-names>
</name>
<xref ref-type="aff" rid="aff0002">
<sup>b</sup>
</xref>
</contrib>
<aff id="aff0001">
<label>
<sup>a</sup>
</label>
<institution>
<named-content content-type="institution-name">AgeLab, Massachusetts Institute of Technology</named-content>
</institution>
,
<named-content content-type="city">Cambridge</named-content>
,
<named-content content-type="state">MA</named-content>
,
<country>USA</country>
</aff>
<aff id="aff0002">
<label>
<sup>b</sup>
</label>
<institution>
<named-content content-type="institution-name">Monotype Imaging Inc.</named-content>
</institution>
,
<named-content content-type="city">Woburn</named-content>
,
<named-content content-type="state">MA</named-content>
,
<country>USA</country>
</aff>
</contrib-group>
<author-notes>
<corresp id="an0001">
<sup>*</sup>
Corresponding author. Email:
<email xlink:href="reimer@mit.edu">reimer@mit.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<day>2</day>
<month>11</month>
<year>2014</year>
<pmc-comment>string-date: November 2014</pmc-comment>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>7</month>
<year>2014</year>
</pub-date>
<volume>57</volume>
<issue>11</issue>
<fpage seq="4">1643</fpage>
<lpage>1658</lpage>
<history>
<date date-type="received">
<day>20</day>
<month>9</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>6</month>
<year>2014</year>
</date>
</history>
<permissions>
<copyright-statement>© 2014 The Author(s). Published by Taylor & Francis.</copyright-statement>
<copyright-year>2014</copyright-year>
<copyright-holder>The Author(s).</copyright-holder>
<license license-type="open-access">
<license-p>This is an Open Access article. Non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly attributed, cited, and is not altered, transformed, or built upon in any way, is permitted. The moral rights of the named author(s) have been asserted.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="terg-15-1643.pdf"></self-uri>
<abstract>
<p>Text-rich driver–vehicle interfaces are increasingly common in new vehicles, yet the effects of different typeface characteristics on task performance in this brief off-road based glance context remains sparsely examined. Subjects completed menu selection tasks while in a driving simulator. Menu text was set either in a ‘humanist’ or ‘square grotesque’ typeface. Among men, use of the humanist typeface resulted in a 10.6% reduction in total glance time as compared to the square grotesque typeface. Total response time and number of glances showed similar reductions. The impact of typeface was either more modest or not apparent for women. Error rates for both males and females were 3.1% lower for the humanist typeface. This research suggests that optimised typefaces may mitigate some interface demands. Future work will need to assess whether other typeface characteristics can be optimised to further reduce demand, improve legibility, increase usability and help meet new governmental distraction guidelines.</p>
<p>
<bold>Practitioner Summary:</bold>
Text-rich in-vehicle interfaces are increasingly common, but the effects of typeface on task performance remain sparsely studied. We show that among male drivers, menu selection tasks are completed with 10.6% less visual glance time when text is displayed in a ‘humanist’ typeface, as compared to a ‘square grotesque’.</p>
</abstract>
<kwd-group kwd-group-type="author">
<title>Keywords:</title>
<kwd>typography</kwd>
<kwd>driving</kwd>
<kwd>distraction</kwd>
<kwd>display</kwd>
<kwd>legibility</kwd>
</kwd-group>
<funding-group>
<funding-statement>
<funding-source>This collaborative project was underwritten in part by Monotype Imaging Inc. through funding provided to MIT and in contribution of technical support and typographical expertise. The authors would also like to acknowledge the US Department of Transportation's Region I New England University Transportation Center at MIT for additional support.</funding-source>
</funding-statement>
</funding-group>
<counts>
<fig-count count="12"></fig-count>
<table-count count="2"></table-count>
<ref-count count="38"></ref-count>
<page-count count="16"></page-count>
</counts>
</article-meta>
</front>
</pmc>
<affiliations>
<list></list>
<tree>
<noCountry>
<name sortKey="Chahine, Nadine" sort="Chahine, Nadine" uniqKey="Chahine N" first="Nadine" last="Chahine">Nadine Chahine</name>
<name sortKey="Coughlin, Joseph F" sort="Coughlin, Joseph F" uniqKey="Coughlin J" first="Joseph F." last="Coughlin">Joseph F. Coughlin</name>
<name sortKey="Dobres, Jonathan" sort="Dobres, Jonathan" uniqKey="Dobres J" first="Jonathan" last="Dobres">Jonathan Dobres</name>
<name sortKey="Gould, David" sort="Gould, David" uniqKey="Gould D" first="David" last="Gould">David Gould</name>
<name sortKey="Levantovsky, Vladimir" sort="Levantovsky, Vladimir" uniqKey="Levantovsky V" first="Vladimir" last="Levantovsky">Vladimir Levantovsky</name>
<name sortKey="Matteson, Steve" sort="Matteson, Steve" uniqKey="Matteson S" first="Steve" last="Matteson">Steve Matteson</name>
<name sortKey="Mehler, Bruce" sort="Mehler, Bruce" uniqKey="Mehler B" first="Bruce" last="Mehler">Bruce Mehler</name>
<name sortKey="Reimer, Bryan" sort="Reimer, Bryan" uniqKey="Reimer B" first="Bryan" last="Reimer">Bryan Reimer</name>
</noCountry>
</tree>
</affiliations>
</record>

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