{"title":"虚拟现实环境下行人行走凝视分布的年龄差异","authors":"O. Bock, P. R. Brustio, Steliana Borisova","doi":"10.5923/J.IJAP.20160603.03","DOIUrl":null,"url":null,"abstract":"The gaze pattern changes in old age, not only during artificial laboratory tasks but also during quasi-natural behavior. We have recently reported that older adults, walking in a virtual reality pedestrian precinct, spent longer time looking at pedestrian traffic lights than young adults did (Bock et al, 2015). We have interpreted this age-related change as a compensatory strategy, and we now analyze whether this strategy might be potentially hazardous in that it withdraws gaze from other regions that are critical for safe walking. Seventeen young and 16 older adults walked on a non-motorized treadmill linked to the 3D model of a pedestrian precint. The model was displayed on a monitor ahead, such that participants felt as if walking through the simulated world. Along their way, participants met a range of familiar objects such as pedestrian traffic lights, oncoming pedestrians and cats crossing their path. Eye position was recorded by a video-based system. We found that compared to young adults, older ones looked longer at regions of high behavioral relevance and less long at regions of low behavioral relevance. We conclude that looking longer at relevant regions might be a strategy for compensating central processing deficits, but this strategy may not pay off when an unexpected threat emerges in a seemingly irrelevant region.","PeriodicalId":91505,"journal":{"name":"International journal of applied psychology","volume":"6 1","pages":"64-69"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Age Differences of Gaze Distribution during Pedestrian Walking in a Virtual-Reality Environment\",\"authors\":\"O. Bock, P. R. Brustio, Steliana Borisova\",\"doi\":\"10.5923/J.IJAP.20160603.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The gaze pattern changes in old age, not only during artificial laboratory tasks but also during quasi-natural behavior. We have recently reported that older adults, walking in a virtual reality pedestrian precinct, spent longer time looking at pedestrian traffic lights than young adults did (Bock et al, 2015). We have interpreted this age-related change as a compensatory strategy, and we now analyze whether this strategy might be potentially hazardous in that it withdraws gaze from other regions that are critical for safe walking. Seventeen young and 16 older adults walked on a non-motorized treadmill linked to the 3D model of a pedestrian precint. The model was displayed on a monitor ahead, such that participants felt as if walking through the simulated world. Along their way, participants met a range of familiar objects such as pedestrian traffic lights, oncoming pedestrians and cats crossing their path. Eye position was recorded by a video-based system. We found that compared to young adults, older ones looked longer at regions of high behavioral relevance and less long at regions of low behavioral relevance. We conclude that looking longer at relevant regions might be a strategy for compensating central processing deficits, but this strategy may not pay off when an unexpected threat emerges in a seemingly irrelevant region.\",\"PeriodicalId\":91505,\"journal\":{\"name\":\"International journal of applied psychology\",\"volume\":\"6 1\",\"pages\":\"64-69\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5923/J.IJAP.20160603.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5923/J.IJAP.20160603.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
老年人的注视模式不仅在人工实验任务中发生变化,而且在准自然行为中也会发生变化。我们最近报道,在虚拟现实步行区行走的老年人比年轻人花更长的时间看行人红绿灯(Bock et al, 2015)。我们把这种与年龄相关的变化解释为一种补偿策略,现在我们分析这种策略是否可能有潜在的危险,因为它会把注意力从对安全行走至关重要的其他区域转移开。17名年轻人和16名老年人在与步行区3D模型相连的非电动跑步机上行走。模型显示在前方的显示器上,这样参与者就感觉好像在模拟世界中行走。一路上,参与者遇到了一系列熟悉的物体,如行人交通灯、迎面而来的行人和穿过他们道路的猫。眼睛位置由一个基于视频的系统记录。我们发现,与年轻人相比,老年人对高行为相关区域的注视时间更长,而对低行为相关区域的注视时间更短。我们得出的结论是,长时间关注相关区域可能是补偿中央处理缺陷的一种策略,但当意外威胁出现在看似无关的区域时,这种策略可能不会奏效。
Age Differences of Gaze Distribution during Pedestrian Walking in a Virtual-Reality Environment
The gaze pattern changes in old age, not only during artificial laboratory tasks but also during quasi-natural behavior. We have recently reported that older adults, walking in a virtual reality pedestrian precinct, spent longer time looking at pedestrian traffic lights than young adults did (Bock et al, 2015). We have interpreted this age-related change as a compensatory strategy, and we now analyze whether this strategy might be potentially hazardous in that it withdraws gaze from other regions that are critical for safe walking. Seventeen young and 16 older adults walked on a non-motorized treadmill linked to the 3D model of a pedestrian precint. The model was displayed on a monitor ahead, such that participants felt as if walking through the simulated world. Along their way, participants met a range of familiar objects such as pedestrian traffic lights, oncoming pedestrians and cats crossing their path. Eye position was recorded by a video-based system. We found that compared to young adults, older ones looked longer at regions of high behavioral relevance and less long at regions of low behavioral relevance. We conclude that looking longer at relevant regions might be a strategy for compensating central processing deficits, but this strategy may not pay off when an unexpected threat emerges in a seemingly irrelevant region.