Adapting a Driving Simulator to Study Pedestrians’ Street-Crossing Decisions: A Feasibility Study.
The decision when to cross a street safely is a challenging task that poses high demands on perception and cognition. Both can be affected by normal aging, neurodegenerative disorder, and brain injury, and there is an increasing interest in studying street-crossing decisions. In this article, we des...
| Publicado en: | Assistive Technology Vol. 27; no. 1; pp. 1 - 9 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Spring2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=101715419&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 101715419 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10400435 YVP jtl: Assistive Technology issn: 10400435 maglogo: Y pubinfo: dt: Spring2015 vid: 27 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 101715419 103778537 103778537 10.1080/10400435.2014.929193 101715419 ppf: 1 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Adapting a Driving Simulator to Study Pedestrians’ Street-Crossing Decisions: A Feasibility Study. aug: au: Jäger, M. Nyffeler, T. Müri, R. Mosimann, U. P. Nef, T. affil: Gerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland sug: subj: Accidents, Traffic Prevention and Control Walking Simulations Decision Making Evaluation Human Switzerland Pilot Studies Comparative Studies Visual Perception Stroke Patients Statistical Significance Age Factors P-Value Physical Performance Young Adult Adult Descriptive Statistics Middle Age Aged Aged, 80 and Over Clinical Assessment Tools Time Factors Automobile Driving Biophysical Instruments Eye Movements Evaluation Head Physiology Questionnaires Equipment Design Kruskal-Wallis Test Consumer Attitudes Patient Attitudes Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over ab: The decision when to cross a street safely is a challenging task that poses high demands on perception and cognition. Both can be affected by normal aging, neurodegenerative disorder, and brain injury, and there is an increasing interest in studying street-crossing decisions. In this article, we describe how driving simulators can be modified to study pedestrians’ street-crossing decisions. The driving simulator’s projection system and the virtual driving environment were used to present street-crossing scenarios to the participants. New sensors were added to measure when the test person starts to cross the street. Outcome measures were feasibility, usability, task performance, and visual exploration behavior, and were measured in 15 younger persons, 15 older persons, and 5 post-stroke patients. The experiments showed that the test is feasible and usable, and the selected difficulty level was appropriate. Significant differences in the number of crashes between young participants and patients (p= .001) as well as between healthy older participants and patients (p= .003) were found. When the approaching vehicle’s speed is high, significant differences between younger and older participants were found as well (p= .038). Overall, the new test setup was well accepted, and we demonstrated that driving simulators can be used to study pedestrians’ street-crossing decisions. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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