Age-Related Changes in the Utilization of Visual Information for Collision Prediction: A Study Using an Affordance-Based Model.
The ability to predict collisions with moving objects deteriorates with aging. We followed the affordance-based model to identify optical variables that older adults had difficulty using for collision prediction. We reproduced a modified version of the interception task used in Steinmetz (Steinmetz,...
| Published in: | Experimental Aging Research Vol. 50; no. 5; pp. 800 - 817 |
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| Main Authors: | , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Oct-Dec2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180554504&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180554504 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0361073X 1HO jtl: Experimental Aging Research issn: 0361073X maglogo: N pubinfo: dt: Oct-Dec2024 vid: 50 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 180554504 173505596 180554504 180554504 10.1080/0361073X.2023.2278985 180554504 ppf: 800 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Age-Related Changes in the Utilization of Visual Information for Collision Prediction: A Study Using an Affordance-Based Model. aug: au: Sato, Kazuyuki Fukuhara, Kazunobu Higuchi, Takahiro affil: Department of Health Promotion Science, Tokyo Metropolitan University, Hachioji, Tokyo, Japan sug: subj: Visual Perception Evaluation Aging Task Performance and Analysis Accidents, Traffic Human Female Male Adult Aged Virtual Reality Age Factors Students, College Comparative Studies Questionnaires T-Tests Effect Size Analysis of Variance Descriptive Statistics Data Analysis Software Adult: 19-44 years Aged: 65+ years Female Male ab: The ability to predict collisions with moving objects deteriorates with aging. We followed the affordance-based model to identify optical variables that older adults had difficulty using for collision prediction. We reproduced a modified version of the interception task used in Steinmetz (Steinmetz, Layton, Powell, & Fajen, 2020, "Affordance-based versus current – future accounts of choosing whether to pursue or abandon the chase of a moving target," Journal of Vision, 20(3), 8) in a virtual reality (VR) environment and newly introduced perturbation for each of three optical variables (vertical and horizontal expansions of a moving object and the bearing angle produced between participants and a moving object). We expected that perturbation would negatively affect the performance only for those who rely on the optical variable to perform the interception task effectively. We tested 18 older and 15 younger adults and showed that older participants were not negatively affected by the perturbation for the vertical and horizontal expansion of a moving object, while they showed decreased performance when the perturbation was introduced with a bearing angle. These findings suggest that predicting collisions with moving objects deteriorates with aging because the perception of object expansion is impaired with aging. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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