研究增强现实技术中用户行为和跟踪因素与任务执行和信任之间的关系

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computers & Graphics-Uk Pub Date : 2024-08-06 DOI:10.1016/j.cag.2024.104035
Matt Gottsacker , Hiroshi Furuya , Zubin Datta Choudhary , Austin Erickson , Ryan Schubert , Gerd Bruder , Michael P. Browne , Gregory F. Welch
{"title":"研究增强现实技术中用户行为和跟踪因素与任务执行和信任之间的关系","authors":"Matt Gottsacker ,&nbsp;Hiroshi Furuya ,&nbsp;Zubin Datta Choudhary ,&nbsp;Austin Erickson ,&nbsp;Ryan Schubert ,&nbsp;Gerd Bruder ,&nbsp;Michael P. Browne ,&nbsp;Gregory F. Welch","doi":"10.1016/j.cag.2024.104035","DOIUrl":null,"url":null,"abstract":"<div><p>This research paper explores the impact of augmented reality (AR) tracking characteristics, specifically an AR head-worn display’s tracking registration accuracy and precision, on users’ spatial abilities and subjective perceptions of trust in and reliance on the technology. Our study aims to clarify the relationships between user performance and the different behaviors users may employ based on varying degrees of trust in and reliance on AR. Our controlled experimental setup used a 360° field-of-regard search-and-selection task and combines the immersive aspects of a CAVE-like environment with AR overlays viewed with a head-worn display.</p><p>We investigated three levels of simulated AR tracking errors in terms of both accuracy and precision (+0°, +1°, +2°). We controlled for four user task behaviors that correspond to different levels of trust in and reliance on an AR system: <em>AR-Only</em> (only relying on AR), <em>AR-First</em> (prioritizing AR over real world), <em>Real-Only</em> (only relying on real world), and <em>Real-First</em> (prioritizing real world over AR). By controlling for these behaviors, our results showed that even small amounts of AR tracking errors had noticeable effects on users’ task performance, especially if they relied completely on the AR cues (AR-Only). Our results link AR tracking characteristics with user behavior, highlighting the importance of understanding these elements to improve AR technology and user satisfaction.</p></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"123 ","pages":"Article 104035"},"PeriodicalIF":2.5000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating the relationships between user behaviors and tracking factors on task performance and trust in augmented reality\",\"authors\":\"Matt Gottsacker ,&nbsp;Hiroshi Furuya ,&nbsp;Zubin Datta Choudhary ,&nbsp;Austin Erickson ,&nbsp;Ryan Schubert ,&nbsp;Gerd Bruder ,&nbsp;Michael P. Browne ,&nbsp;Gregory F. Welch\",\"doi\":\"10.1016/j.cag.2024.104035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This research paper explores the impact of augmented reality (AR) tracking characteristics, specifically an AR head-worn display’s tracking registration accuracy and precision, on users’ spatial abilities and subjective perceptions of trust in and reliance on the technology. Our study aims to clarify the relationships between user performance and the different behaviors users may employ based on varying degrees of trust in and reliance on AR. Our controlled experimental setup used a 360° field-of-regard search-and-selection task and combines the immersive aspects of a CAVE-like environment with AR overlays viewed with a head-worn display.</p><p>We investigated three levels of simulated AR tracking errors in terms of both accuracy and precision (+0°, +1°, +2°). We controlled for four user task behaviors that correspond to different levels of trust in and reliance on an AR system: <em>AR-Only</em> (only relying on AR), <em>AR-First</em> (prioritizing AR over real world), <em>Real-Only</em> (only relying on real world), and <em>Real-First</em> (prioritizing real world over AR). By controlling for these behaviors, our results showed that even small amounts of AR tracking errors had noticeable effects on users’ task performance, especially if they relied completely on the AR cues (AR-Only). Our results link AR tracking characteristics with user behavior, highlighting the importance of understanding these elements to improve AR technology and user satisfaction.</p></div>\",\"PeriodicalId\":50628,\"journal\":{\"name\":\"Computers & Graphics-Uk\",\"volume\":\"123 \",\"pages\":\"Article 104035\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Graphics-Uk\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0097849324001705\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Graphics-Uk","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0097849324001705","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

本研究论文探讨了增强现实(AR)追踪特性(特别是 AR 头戴式显示器的追踪注册准确性和精确度)对用户空间能力以及对该技术信任和依赖的主观感受的影响。我们的研究旨在阐明用户表现与用户基于对 AR 不同程度的信任和依赖而采取的不同行为之间的关系。我们的受控实验设置使用了 360° 视场搜索和选择任务,并将类似 CAVE 的沉浸式环境与通过头戴式显示器查看的 AR 叠加效果相结合。我们对用户的四种任务行为进行了控制,这些行为与对 AR 系统的不同信任和依赖程度相对应:AR-Only(仅依赖 AR)、AR-First(优先考虑 AR 而非真实世界)、Real-Only(仅依赖真实世界)和 Real-First(优先考虑真实世界而非 AR)。通过对这些行为进行控制,我们的结果表明,即使是少量的 AR 跟踪错误也会对用户的任务表现产生明显影响,尤其是在用户完全依赖 AR 提示的情况下(仅依赖 AR)。我们的研究结果将 AR 跟踪特征与用户行为联系起来,强调了了解这些因素对于改进 AR 技术和提高用户满意度的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Investigating the relationships between user behaviors and tracking factors on task performance and trust in augmented reality

This research paper explores the impact of augmented reality (AR) tracking characteristics, specifically an AR head-worn display’s tracking registration accuracy and precision, on users’ spatial abilities and subjective perceptions of trust in and reliance on the technology. Our study aims to clarify the relationships between user performance and the different behaviors users may employ based on varying degrees of trust in and reliance on AR. Our controlled experimental setup used a 360° field-of-regard search-and-selection task and combines the immersive aspects of a CAVE-like environment with AR overlays viewed with a head-worn display.

We investigated three levels of simulated AR tracking errors in terms of both accuracy and precision (+0°, +1°, +2°). We controlled for four user task behaviors that correspond to different levels of trust in and reliance on an AR system: AR-Only (only relying on AR), AR-First (prioritizing AR over real world), Real-Only (only relying on real world), and Real-First (prioritizing real world over AR). By controlling for these behaviors, our results showed that even small amounts of AR tracking errors had noticeable effects on users’ task performance, especially if they relied completely on the AR cues (AR-Only). Our results link AR tracking characteristics with user behavior, highlighting the importance of understanding these elements to improve AR technology and user satisfaction.

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
Computers & Graphics-Uk
Computers & Graphics-Uk 工程技术-计算机:软件工程
CiteScore
5.30
自引率
12.00%
发文量
173
审稿时长
38 days
期刊介绍: Computers & Graphics is dedicated to disseminate information on research and applications of computer graphics (CG) techniques. The journal encourages articles on: 1. Research and applications of interactive computer graphics. We are particularly interested in novel interaction techniques and applications of CG to problem domains. 2. State-of-the-art papers on late-breaking, cutting-edge research on CG. 3. Information on innovative uses of graphics principles and technologies. 4. Tutorial papers on both teaching CG principles and innovative uses of CG in education.
期刊最新文献
Enhancing Visual Analytics systems with guidance: A task-driven methodology Learning geometric complexes for 3D shape classification RenalViz: Visual analysis of cohorts with chronic kidney disease Enhancing semantic mapping in text-to-image diffusion via Gather-and-Bind CGLight: An effective indoor illumination estimation method based on improved convmixer and GauGAN
×
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