Hybrid Analysis of Audience Gaze and Constitutive Features of Slides for Extracting the Defective Portions from Presentation Slides

Shoichi Nakamura, Ryo Onuma, Hiroki Nakayama, Tomohiro Funayama, Youzou Miyadera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The need for training students in presentation skills has been proposed. Skills in the creation, elaboration of slides are particularly important but it is actually difficult to train students in such skills. It is important for students to properly understand defective portions in slides so that they can polish the slides by themselves. However, it is difficult for novices to detect defective portions, it generally depends on individual work by experienced people such as professors. Such work imposes a huge burden on professors, prevents detailed guidance including the linkage of oral explanations, gestures, slide descriptions. This research was aimed at developing a mechanism for extracting the defective portions in slides, providing them to students on the basis of hybrid analysis of two promising sources: (1) constitutive features being inherent in the slide data, (2) audiences' visual tracking behaviors of slide content. This paper mainly describes methods of extracting candidates for problems from presentation slides that inhibit understanding by audiences on the basis of constitutive features of slides, audience gaze.

Original languageEnglish
Title of host publicationProceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages467-474
Number of pages8
ISBN (Electronic)9781509027705
DOIs
Publication statusPublished - 2017 Jan 12
Externally publishedYes
Event13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 - Toulouse, France
Duration: 2016 Jul 182016 Jul 21

Other

Other13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016
CountryFrance
CityToulouse
Period16/7/1816/7/21

Keywords

  • Audience gaze
  • Defective portion in presentation slides
  • Learning analytics
  • Slide constitutive feature
  • Slide elaboration support

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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    Nakamura, S., Onuma, R., Nakayama, H., Funayama, T., & Miyadera, Y. (2017). Hybrid Analysis of Audience Gaze and Constitutive Features of Slides for Extracting the Defective Portions from Presentation Slides. In Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 (pp. 467-474). [7816880] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0084