利用信息处理认知模型和模糊分析层次过程,开发可视化增强现实/混合现实应用的可用性启发式方法

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
T. V. Sumithra, Leena Ragha, Arpit Vaishya, Rishi Desai
{"title":"利用信息处理认知模型和模糊分析层次过程,开发可视化增强现实/混合现实应用的可用性启发式方法","authors":"T. V. Sumithra,&nbsp;Leena Ragha,&nbsp;Arpit Vaishya,&nbsp;Rishi Desai","doi":"10.1049/ccs2.12109","DOIUrl":null,"url":null,"abstract":"<p>The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones. The key to success lies in innovative research and technology that can reach a wide audience. To ensure a positive user experience, AR/MR glasses must offer interfaces that are easy to use, memorable, and leave a lasting impression. While Nielsen's heuristics are widely accepted as the standard for usability, it is clear that non-traditional applications require a rethinking of these heuristics to best suit their unique needs. A fresh usability heuristic for augmented and MR applications is designed by combining and modifying the existing models, such as Nielsen's 10 heuristics, Technology Acceptance Model, and Software Usability Measurement Inventory. The resulting framework incorporates 21 main heuristics and 60 sub heuristics. The 21 main heuristics are further grouped into the Norman's cognitive theory model based on the three levels of processing. The industry experts evaluated and validated the usability framework and established a higher level of effectiveness in identifying more usability problems compared with Nielsen's heuristics.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"6 1-3","pages":"26-35"},"PeriodicalIF":1.2000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12109","citationCount":"0","resultStr":"{\"title\":\"Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process\",\"authors\":\"T. V. Sumithra,&nbsp;Leena Ragha,&nbsp;Arpit Vaishya,&nbsp;Rishi Desai\",\"doi\":\"10.1049/ccs2.12109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones. The key to success lies in innovative research and technology that can reach a wide audience. To ensure a positive user experience, AR/MR glasses must offer interfaces that are easy to use, memorable, and leave a lasting impression. While Nielsen's heuristics are widely accepted as the standard for usability, it is clear that non-traditional applications require a rethinking of these heuristics to best suit their unique needs. A fresh usability heuristic for augmented and MR applications is designed by combining and modifying the existing models, such as Nielsen's 10 heuristics, Technology Acceptance Model, and Software Usability Measurement Inventory. The resulting framework incorporates 21 main heuristics and 60 sub heuristics. The 21 main heuristics are further grouped into the Norman's cognitive theory model based on the three levels of processing. The industry experts evaluated and validated the usability framework and established a higher level of effectiveness in identifying more usability problems compared with Nielsen's heuristics.</p>\",\"PeriodicalId\":33652,\"journal\":{\"name\":\"Cognitive Computation and Systems\",\"volume\":\"6 1-3\",\"pages\":\"26-35\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12109\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Computation and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/ccs2.12109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Computation and Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ccs2.12109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

技术进步的步伐正在加快,最新的发展之一是作为智能手机延伸的增强现实(AR)和混合现实(MR)眼镜的出现。成功的关键在于创新的研究和技术,并能覆盖广泛的受众。为确保良好的用户体验,AR/MR 眼镜必须提供易于使用、令人难忘并留下深刻印象的界面。虽然尼尔森的启发式方法被广泛接受为可用性的标准,但非传统应用显然需要重新思考这些启发式方法,以最好地满足其独特的需求。通过对尼尔森的 10 个启发式方法、技术接受度模型和软件可用性测量清单等现有模型进行组合和修改,我们为增强和磁共振应用设计了一个全新的可用性启发式方法。由此产生的框架包含 21 个主要启发式和 60 个子启发式。这 21 种主要启发式又根据诺曼认知理论的三个处理层次进一步归类。业内专家对可用性框架进行了评估和验证,认为与尼尔森的启发式方法相比,可用性框架能更有效地发现更多可用性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process

Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process

The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones. The key to success lies in innovative research and technology that can reach a wide audience. To ensure a positive user experience, AR/MR glasses must offer interfaces that are easy to use, memorable, and leave a lasting impression. While Nielsen's heuristics are widely accepted as the standard for usability, it is clear that non-traditional applications require a rethinking of these heuristics to best suit their unique needs. A fresh usability heuristic for augmented and MR applications is designed by combining and modifying the existing models, such as Nielsen's 10 heuristics, Technology Acceptance Model, and Software Usability Measurement Inventory. The resulting framework incorporates 21 main heuristics and 60 sub heuristics. The 21 main heuristics are further grouped into the Norman's cognitive theory model based on the three levels of processing. The industry experts evaluated and validated the usability framework and established a higher level of effectiveness in identifying more usability problems compared with Nielsen's heuristics.

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
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信