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Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems
There is limited research on trade-offs in demand between manual and voice interfaces of embedded and portable technologies. Mehler et al. identified differences in driving performance, visual engagement and workload between two contrasting embedded vehicle system designs (Chevrolet MyLink and Volvo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5215240/ https://www.ncbi.nlm.nih.gov/pubmed/27110964 http://dx.doi.org/10.1080/00140139.2016.1154189 |
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author | Reimer, Bryan Mehler, Bruce Reagan, Ian Kidd, David Dobres, Jonathan |
author_facet | Reimer, Bryan Mehler, Bruce Reagan, Ian Kidd, David Dobres, Jonathan |
author_sort | Reimer, Bryan |
collection | PubMed |
description | There is limited research on trade-offs in demand between manual and voice interfaces of embedded and portable technologies. Mehler et al. identified differences in driving performance, visual engagement and workload between two contrasting embedded vehicle system designs (Chevrolet MyLink and Volvo Sensus). The current study extends this work by comparing these embedded systems with a smartphone (Samsung Galaxy S4). None of the voice interfaces eliminated visual demand. Relative to placing calls manually, both embedded voice interfaces resulted in less eyes-off-road time than the smartphone. Errors were most frequent when calling contacts using the smartphone. The smartphone and MyLink allowed addresses to be entered using compound voice commands resulting in shorter eyes-off-road time compared with the menu-based Sensus but with many more errors. Driving performance and physiological measures indicated increased demand when performing secondary tasks relative to ‘just driving’, but were not significantly different between the smartphone and embedded systems. Practitioner Summary: The findings show that embedded system and portable device voice interfaces place fewer visual demands on the driver than manual interfaces, but they also underscore how differences in system designs can significantly affect not only the demands placed on drivers, but also the successful completion of tasks. |
format | Online Article Text |
id | pubmed-5215240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-52152402017-02-08 Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems Reimer, Bryan Mehler, Bruce Reagan, Ian Kidd, David Dobres, Jonathan Ergonomics Original Articles There is limited research on trade-offs in demand between manual and voice interfaces of embedded and portable technologies. Mehler et al. identified differences in driving performance, visual engagement and workload between two contrasting embedded vehicle system designs (Chevrolet MyLink and Volvo Sensus). The current study extends this work by comparing these embedded systems with a smartphone (Samsung Galaxy S4). None of the voice interfaces eliminated visual demand. Relative to placing calls manually, both embedded voice interfaces resulted in less eyes-off-road time than the smartphone. Errors were most frequent when calling contacts using the smartphone. The smartphone and MyLink allowed addresses to be entered using compound voice commands resulting in shorter eyes-off-road time compared with the menu-based Sensus but with many more errors. Driving performance and physiological measures indicated increased demand when performing secondary tasks relative to ‘just driving’, but were not significantly different between the smartphone and embedded systems. Practitioner Summary: The findings show that embedded system and portable device voice interfaces place fewer visual demands on the driver than manual interfaces, but they also underscore how differences in system designs can significantly affect not only the demands placed on drivers, but also the successful completion of tasks. Taylor & Francis 2016-12-01 2016-04-25 /pmc/articles/PMC5215240/ /pubmed/27110964 http://dx.doi.org/10.1080/00140139.2016.1154189 Text en © 2016 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Original Articles Reimer, Bryan Mehler, Bruce Reagan, Ian Kidd, David Dobres, Jonathan Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title | Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title_full | Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title_fullStr | Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title_full_unstemmed | Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title_short | Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
title_sort | multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5215240/ https://www.ncbi.nlm.nih.gov/pubmed/27110964 http://dx.doi.org/10.1080/00140139.2016.1154189 |
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