TY - GEN
T1 - Hybrid Analysis of Audience Gaze and Constitutive Features of Slides for Extracting the Defective Portions from Presentation Slides
AU - Nakamura, Shoichi
AU - Onuma, Ryo
AU - Nakayama, Hiroki
AU - Funayama, Tomohiro
AU - Miyadera, Youzou
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/12
Y1 - 2017/1/12
N2 - 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.
AB - 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.
KW - Audience gaze
KW - Defective portion in presentation slides
KW - Learning analytics
KW - Slide constitutive feature
KW - Slide elaboration support
UR - http://www.scopus.com/inward/record.url?scp=85013188083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013188083&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0084
DO - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0084
M3 - Conference contribution
AN - SCOPUS:85013188083
T3 - 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
SP - 467
EP - 474
BT - 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
A2 - El Baz, Didier
A2 - Bourgeois, Julien
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 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
Y2 - 18 July 2016 through 21 July 2016
ER -