为更广泛的适用性和用户接受推进信任可视化

O. Kulyk, B. Reinheimer, Paul Gerber, Florian Volk, M. Volkamer, M. Mühlhäuser
{"title":"为更广泛的适用性和用户接受推进信任可视化","authors":"O. Kulyk, B. Reinheimer, Paul Gerber, Florian Volk, M. Volkamer, M. Mühlhäuser","doi":"10.1109/Trustcom/BigDataSE/ICESS.2017.285","DOIUrl":null,"url":null,"abstract":"There are only a few visualisations targeting the communication of trust statements. Even though there are some advanced and scientifically founded visualisations—like, for example, the opinion triangle, the human trust interface, and T-Viz—the stars interface known from e-commerce platforms is by far the most common one. In this paper, we propose two trust visualisations based on T-Viz, which was recently proposed and successfully evaluated in large user studies. Despite being the most promising proposal, its design is not primarily based on findings from human-computer interaction or cognitive psychology. Our visualisations aim to integrate such findings and to potentially improve decision making in terms of correctness and efficiency. A large user study reveals that our proposed visualisations outperform T-Viz in these factors.","PeriodicalId":170253,"journal":{"name":"2017 IEEE Trustcom/BigDataSE/ICESS","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advancing Trust Visualisations for Wider Applicability and User Acceptance\",\"authors\":\"O. Kulyk, B. Reinheimer, Paul Gerber, Florian Volk, M. Volkamer, M. Mühlhäuser\",\"doi\":\"10.1109/Trustcom/BigDataSE/ICESS.2017.285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are only a few visualisations targeting the communication of trust statements. Even though there are some advanced and scientifically founded visualisations—like, for example, the opinion triangle, the human trust interface, and T-Viz—the stars interface known from e-commerce platforms is by far the most common one. In this paper, we propose two trust visualisations based on T-Viz, which was recently proposed and successfully evaluated in large user studies. Despite being the most promising proposal, its design is not primarily based on findings from human-computer interaction or cognitive psychology. Our visualisations aim to integrate such findings and to potentially improve decision making in terms of correctness and efficiency. A large user study reveals that our proposed visualisations outperform T-Viz in these factors.\",\"PeriodicalId\":170253,\"journal\":{\"name\":\"2017 IEEE Trustcom/BigDataSE/ICESS\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Trustcom/BigDataSE/ICESS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Trustcom/BigDataSE/ICESS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

只有几个可视化的目标是信任语句的沟通。尽管有一些先进的、有科学依据的可视化方法,比如意见三角、人际信任界面和t - viz,但电子商务平台上的明星界面是迄今为止最常见的一种。在本文中,我们提出了两种基于T-Viz的信任可视化,这是最近在大型用户研究中提出并成功评估的。尽管这是最有希望的提议,但它的设计主要不是基于人机交互或认知心理学的发现。我们的可视化旨在整合这些发现,并潜在地提高决策的正确性和效率。一项大型用户研究表明,我们提出的可视化在这些因素上优于T-Viz。
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
Advancing Trust Visualisations for Wider Applicability and User Acceptance
There are only a few visualisations targeting the communication of trust statements. Even though there are some advanced and scientifically founded visualisations—like, for example, the opinion triangle, the human trust interface, and T-Viz—the stars interface known from e-commerce platforms is by far the most common one. In this paper, we propose two trust visualisations based on T-Viz, which was recently proposed and successfully evaluated in large user studies. Despite being the most promising proposal, its design is not primarily based on findings from human-computer interaction or cognitive psychology. Our visualisations aim to integrate such findings and to potentially improve decision making in terms of correctness and efficiency. A large user study reveals that our proposed visualisations outperform T-Viz in these factors.
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
自引率
0.00%
发文量
0
期刊最新文献
Insider Threat Detection Through Attributed Graph Clustering SEEAD: A Semantic-Based Approach for Automatic Binary Code De-obfuscation A Public Key Encryption Scheme for String Identification Vehicle Incident Hot Spots Identification: An Approach for Big Data Implementing Chain of Custody Requirements in Database Audit Records for Forensic Purposes
×
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