Evidence map›Paper›PMID 38516201›Full record

ArticleCognition, technology & work (Online)2023

Older Drivers' Attitudes and Preferences about Instrument Cluster Designs in Vehicles Revealed by the Dashboard Questionnaire.

Thomas A Swain, Scott W Snyder, Gerald McGwin, Carrie E Huisingh, Thomas Seder, Cynthia Owsley

Abstract read
In one paragraph

Article in Cognition, technology & work (Online), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thomas A SwainDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, 1720 University Boulevard, Suite 609, Birmingham AL 35233 USA.
Scott W SnyderDepartment of Human Studies, School of Education, University of Alabama at Birmingham, EB 233, Birmingham AL 35294-1250 USA.
Gerald McGwinDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, 1720 University Boulevard, Suite 609, Birmingham AL 35233 USA.
Carrie E HuisinghDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, 1720 University Boulevard, Suite 609, Birmingham AL 35233 USA.
Thomas SederGeneral Motors R&D Center, Warren, MI, 48090 USA.
Cynthia OwsleyDepartment of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, 1720 University Boulevard, Suite 609, Birmingham AL 35233 USA.

Funding

Visual Phenotyping CoreP30EY003039 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAWRENCE C SINCICH · 1985 to 2026
$16.9M
Pilot CoreP30AG022838 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALL, KARLENE K · 2003 to 2020
$5.7M
Older Drivers: An Evidence-Basis for Licensure StandardsR01EY018966 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OWSLEY, CYNTHIA · 2008 to 2018
$5.7M
NEI NIH HHS P30 EY003039NEI NIH HHS R01 EY018966NIA NIH HHS P30 AG022838
6 · The paper itself

Abstract

Background: Older drivers are a rapidly growing demographic group worldwide; many have visual processing impairments. Little is known about their preferences about vehicle instrument cluster design. Methods: We evaluated the psychometric properties of a questionnaire on "dashboard" design for a population-based sample of 1000 older drivers. Topics included gauges, knobs/switches, and interior lighting; items were statements about their visual design. Response options used a Likert-scale ("Definitely True" to "Definitely False"). Factor and Rasch analyses identified underlying subscales. Results: Driver responses revealed four thematic subscales fitting the Rasch model: cognitive processing, lighting, pattern recognition, and obstructions. Internal consistency of subscales was acceptable (0.70-0.87); all possessed a sufficiently unidimensional structure. Opportunities for improvement were identified (item scope, category ordering, discrimination of respondents' perception levels). Conclusions: Assessment of motor vehicle dashboard preferences indicated cognitive processing, lighting, pattern recognition, and obstructions are areas relevant to older drivers. Future work will examine the relationship between older drivers' visual function (e.g., contrast sensitivity, visual processing speed) and their design preferences as revealed by the Dashboard Questionnaire, with the aim to optimize instrument cluster displays for older drivers.

Indexed as

dashboardergonomicsinstrument cluster designolder driversvehicle

Identifiers

PMID38516201
PMCPMC10956641

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.