Show Me the Invisible: Visualizing Hidden Content.

Thomas Geymayer, Markus Steinberger, Alexander Lex, Marc Streit, Dieter Schmalstieg
{"title":"Show Me the Invisible: Visualizing Hidden Content.","authors":"Thomas Geymayer, Markus Steinberger, Alexander Lex, Marc Streit, Dieter Schmalstieg","doi":"10.1145/2556288.2557032","DOIUrl":null,"url":null,"abstract":"<p><p>Content on computer screens is often inaccessible to users because it is hidden, e.g., occluded by other windows, outside the viewport, or overlooked. In search tasks, the efficient retrieval of sought content is important. Current software, however, only provides limited support to visualize hidden occurrences and rarely supports search synchronization crossing application boundaries. To remedy this situation, we introduce two novel visualization methods to guide users to hidden content. Our first method generates awareness for occluded or out-of-viewport content using see-through visualization. For content that is either outside the screen's viewport or for data sources not opened at all, our second method shows off-screen indicators and an on-demand smart preview. To reduce the chances of overlooking content, we use visual links, i.e., visible edges, to connect the visible content or the visible representations of the hidden content. We show the validity of our methods in a user study, which demonstrates that our technique enables a faster localization of hidden content compared to traditional search functionality and thereby assists users in information retrieval tasks.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"CHI -apos14 ","pages":"3705-3714"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196635/pdf/emss-60638.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2556288.2557032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Content on computer screens is often inaccessible to users because it is hidden, e.g., occluded by other windows, outside the viewport, or overlooked. In search tasks, the efficient retrieval of sought content is important. Current software, however, only provides limited support to visualize hidden occurrences and rarely supports search synchronization crossing application boundaries. To remedy this situation, we introduce two novel visualization methods to guide users to hidden content. Our first method generates awareness for occluded or out-of-viewport content using see-through visualization. For content that is either outside the screen's viewport or for data sources not opened at all, our second method shows off-screen indicators and an on-demand smart preview. To reduce the chances of overlooking content, we use visual links, i.e., visible edges, to connect the visible content or the visible representations of the hidden content. We show the validity of our methods in a user study, which demonstrates that our technique enables a faster localization of hidden content compared to traditional search functionality and thereby assists users in information retrieval tasks.

Abstract Image

Abstract Image

Abstract Image

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
让我看到看不见的东西将隐藏内容可视化。
用户通常无法访问计算机屏幕上的内容,因为这些内容被隐藏起来,例如被其他窗口遮挡、在视口之外或被忽略。在搜索任务中,高效检索所需的内容非常重要。然而,目前的软件只能提供有限的支持来可视化隐藏的内容,而且很少支持跨越应用程序边界的同步搜索。为了改变这种状况,我们引入了两种新颖的可视化方法来引导用户查找隐藏内容。我们的第一种方法采用透视可视化技术,让用户意识到被遮挡或超出视口的内容。对于屏幕视口以外的内容或根本没有打开的数据源,我们的第二种方法会显示屏幕外的指示器和按需智能预览。为了降低忽略内容的几率,我们使用可视化链接(即可见边缘)来连接可见内容或隐藏内容的可见表示。我们在一项用户研究中展示了我们方法的有效性,研究表明,与传统搜索功能相比,我们的技术能够更快地定位隐藏内容,从而帮助用户完成信息检索任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition. Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing. Understanding Contexts and Challenges of Information Management for Epilepsy Care.
×
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