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.