识别最佳的图形细节级别,以支持3D地理可视化的定向

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2021-03-08 DOI:10.1080/13875868.2021.1892696
Aaron Gardony, Dalit D. Hendel, Tad T. Brunyé
{"title":"识别最佳的图形细节级别,以支持3D地理可视化的定向","authors":"Aaron Gardony, Dalit D. Hendel, Tad T. Brunyé","doi":"10.1080/13875868.2021.1892696","DOIUrl":null,"url":null,"abstract":"ABSTRACT Limited hardware processing capacities and network bandwidth constrain the quality and quantity of photogrammetrically derived 3D terrain models that users can effectively visualize. In the present study, we examined what graphical level of detail (LOD) is sufficient to support effective spatial localization and orientation in 3D renderings of large-scale environments. We developed an interactive desktop split-screen orienting and geo-visualization task using photogrammetrically derived 3D terrain models, manipulating LOD on a trial-by-trial basis, tracking interactions during geo-visualization, and measuring orienting performance. Results demonstrated moderate (rather than maximum) LOD is sufficient for spatial orientation, suggesting new guidelines for the collection, transmission, and visualization of terrain models on end-user devices. We discuss these findings within the context of spatial perception, cognition, and behavior.","PeriodicalId":46199,"journal":{"name":"Spatial Cognition and Computation","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2021-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying optimal graphical level of detail to support orienting with 3D geo-visualizations\",\"authors\":\"Aaron Gardony, Dalit D. Hendel, Tad T. Brunyé\",\"doi\":\"10.1080/13875868.2021.1892696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Limited hardware processing capacities and network bandwidth constrain the quality and quantity of photogrammetrically derived 3D terrain models that users can effectively visualize. In the present study, we examined what graphical level of detail (LOD) is sufficient to support effective spatial localization and orientation in 3D renderings of large-scale environments. We developed an interactive desktop split-screen orienting and geo-visualization task using photogrammetrically derived 3D terrain models, manipulating LOD on a trial-by-trial basis, tracking interactions during geo-visualization, and measuring orienting performance. Results demonstrated moderate (rather than maximum) LOD is sufficient for spatial orientation, suggesting new guidelines for the collection, transmission, and visualization of terrain models on end-user devices. We discuss these findings within the context of spatial perception, cognition, and behavior.\",\"PeriodicalId\":46199,\"journal\":{\"name\":\"Spatial Cognition and Computation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2021-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spatial Cognition and Computation\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/13875868.2021.1892696\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Cognition and Computation","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/13875868.2021.1892696","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

有限的硬件处理能力和网络带宽限制了用户能够有效可视化的摄影测量衍生的三维地形模型的质量和数量。在本研究中,我们研究了在大规模环境的3D渲染中,什么样的图形细节水平(LOD)足以支持有效的空间定位和定向。我们开发了一个交互式桌面分屏定向和地理可视化任务,使用摄影测量衍生的3D地形模型,在逐个试验的基础上操作LOD,跟踪地理可视化过程中的交互,并测量定向性能。结果表明,中等(而不是最大)LOD足以用于空间定位,这为最终用户设备上地形模型的收集、传输和可视化提供了新的指导方针。我们在空间感知、认知和行为的背景下讨论这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identifying optimal graphical level of detail to support orienting with 3D geo-visualizations
ABSTRACT Limited hardware processing capacities and network bandwidth constrain the quality and quantity of photogrammetrically derived 3D terrain models that users can effectively visualize. In the present study, we examined what graphical level of detail (LOD) is sufficient to support effective spatial localization and orientation in 3D renderings of large-scale environments. We developed an interactive desktop split-screen orienting and geo-visualization task using photogrammetrically derived 3D terrain models, manipulating LOD on a trial-by-trial basis, tracking interactions during geo-visualization, and measuring orienting performance. Results demonstrated moderate (rather than maximum) LOD is sufficient for spatial orientation, suggesting new guidelines for the collection, transmission, and visualization of terrain models on end-user devices. We discuss these findings within the context of spatial perception, cognition, and behavior.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
期刊最新文献
In memoriam: Christian Freksa (1950-2020) Treat robots as humans? Perspective choice in human-human and human-robot spatial language interaction Direction information is more influential than distance information in memory for location relative to landmarks Task-dependent sketch maps Evidence for flexible navigation strategies during spatial learning involving path choices
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1