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How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction
The automotive industry is working toward driving automation and driver-assistance technology is becoming a norm in modern cars. Warning alert systems support the driver–car interaction and inform drivers about automation system status, upcoming obstacles, or dangers ahead. However, older drivers’ n...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668227/ https://www.ncbi.nlm.nih.gov/pubmed/36405007 http://dx.doi.org/10.1007/s42979-022-01455-9 |
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author | Rukonić, Luka Mwange, Marie-Anne Pungu Kieffer, Suzanne |
author_facet | Rukonić, Luka Mwange, Marie-Anne Pungu Kieffer, Suzanne |
author_sort | Rukonić, Luka |
collection | PubMed |
description | The automotive industry is working toward driving automation and driver-assistance technology is becoming a norm in modern cars. Warning alert systems support the driver–car interaction and inform drivers about automation system status, upcoming obstacles, or dangers ahead. However, older drivers’ needs are not always addressed in research studies, although they make up a large segment of drivers. Therefore, we conducted a qualitative three-round formative evaluation of a warning alert system using video prototypes in lab and remote settings. The goal was to evaluate visual-, sound-, and speech-based alerts based on: (a) their efficiency in informing drivers about the road situation ahead, and (b) participants’ subjective opinions. We evaluated the system’s efficiency using self-reported data measuring participants’ cognitive load, usability, UX, and ease of use. Also, we conducted interviews to collect subjective feedback about proposed prototypes. In this article, we describe the design of warning alerts and report on their evaluation results. Our results show that speech-based warnings, especially when coupled with visual warnings, are efficient and accepted well by the participants. This article illustrates older drivers’ attitude toward the use of different warning modalities in the driving context. |
format | Online Article Text |
id | pubmed-9668227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-96682272022-11-16 How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction Rukonić, Luka Mwange, Marie-Anne Pungu Kieffer, Suzanne SN Comput Sci Original Research The automotive industry is working toward driving automation and driver-assistance technology is becoming a norm in modern cars. Warning alert systems support the driver–car interaction and inform drivers about automation system status, upcoming obstacles, or dangers ahead. However, older drivers’ needs are not always addressed in research studies, although they make up a large segment of drivers. Therefore, we conducted a qualitative three-round formative evaluation of a warning alert system using video prototypes in lab and remote settings. The goal was to evaluate visual-, sound-, and speech-based alerts based on: (a) their efficiency in informing drivers about the road situation ahead, and (b) participants’ subjective opinions. We evaluated the system’s efficiency using self-reported data measuring participants’ cognitive load, usability, UX, and ease of use. Also, we conducted interviews to collect subjective feedback about proposed prototypes. In this article, we describe the design of warning alerts and report on their evaluation results. Our results show that speech-based warnings, especially when coupled with visual warnings, are efficient and accepted well by the participants. This article illustrates older drivers’ attitude toward the use of different warning modalities in the driving context. Springer Nature Singapore 2022-11-16 2023 /pmc/articles/PMC9668227/ /pubmed/36405007 http://dx.doi.org/10.1007/s42979-022-01455-9 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Rukonić, Luka Mwange, Marie-Anne Pungu Kieffer, Suzanne How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title | How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title_full | How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title_fullStr | How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title_full_unstemmed | How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title_short | How Older Drivers Perceive Warning Alerts? Insights for the Design of Driver–Car Interaction |
title_sort | how older drivers perceive warning alerts? insights for the design of driver–car interaction |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668227/ https://www.ncbi.nlm.nih.gov/pubmed/36405007 http://dx.doi.org/10.1007/s42979-022-01455-9 |
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