Estimation of Problematic Portions in Presentation Slides Based on Analysis of Audience’s Unconscious Reactions and Slide Data

Ko Saito, R. Onuma, H. Nakayama, H. Kaminaga, Y. Miyadera, Shoichi Nakamura
{"title":"Estimation of Problematic Portions in Presentation Slides Based on Analysis of Audience’s Unconscious Reactions and Slide Data","authors":"Ko Saito, R. Onuma, H. Nakayama, H. Kaminaga, Y. Miyadera, Shoichi Nakamura","doi":"10.1109/CSCI54926.2021.00238","DOIUrl":null,"url":null,"abstract":"Opportunities have increased to make presentations using slides to explain the results and progress of work. Therefore, there is an increasing need for students to develop the ability to improve presentation slides. To make students experienced in refining slides by themselves, it is important to suggest problematic portions in slides to them. In this research, we have developed a mechanism for automatically estimating problematic portions in presentations on the basis of an analysis of the compositional features of slides and gaze movements of audiences. We have also been working on the development of a system that presents the results of this estimation in an understandable form so that students can use them in their refinement of slides. This paper mainly describes the features of a system that estimates the problematic portions in slides.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI54926.2021.00238","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

Opportunities have increased to make presentations using slides to explain the results and progress of work. Therefore, there is an increasing need for students to develop the ability to improve presentation slides. To make students experienced in refining slides by themselves, it is important to suggest problematic portions in slides to them. In this research, we have developed a mechanism for automatically estimating problematic portions in presentations on the basis of an analysis of the compositional features of slides and gaze movements of audiences. We have also been working on the development of a system that presents the results of this estimation in an understandable form so that students can use them in their refinement of slides. This paper mainly describes the features of a system that estimates the problematic portions in slides.
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
基于观众无意识反应和幻灯片数据分析的演示幻灯片问题部分评估
使用幻灯片来解释工作结果和进展的机会增加了。因此,学生越来越需要培养改进演示幻灯片的能力。为了让学生有自己修改幻灯片的经验,向他们提出幻灯片中有问题的部分是很重要的。在这项研究中,我们开发了一种机制,在分析幻灯片的组成特征和观众的注视运动的基础上,自动估计演示中的问题部分。我们也一直致力于开发一个系统,以一种可理解的形式呈现这种评估的结果,以便学生可以在改进幻灯片时使用它们。本文主要描述了一个评估幻灯片中问题部分的系统的特点。
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
Remote Video Surveillance Effects of Social Distancing Intention, Affective Risk Perception, and Cabin Fever Syndrome on Perceived Value of E-learning : Type of submission: Late Breaking Paper / Most relevant symposium: CSCI-ISED Cybersecurity Integration: Deploying Critical Infrastructure Security and Resilience Topics into the Undergraduate Curriculum Distributed Algorithms for k-Coverage in Mobile Sensor Networks Software Development Methodologies for Virtual Reality
×
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