Title
Setting the best view of a virtual teacher in a mixed reality physical-task learning support system
Abstract
In this research, we investigated the virtual teacher's positions and orientations that led to optimal learning outcome in mixed-reality environment. First, this study showed that the virtual teacher's position and orientation have an effect on learning efficiency, when some teacher-settings are more comfortable and easy to watch than others. A sequence of physical-task learning experiments have been conducted using mixed-reality technology. The result suggested that the virtual-teacher's close side-view is the optimal view for learning physical-tasks that include significant one-hand movements. However, when both hands are used, or rotates around, a rotation-angle adjustment becomes necessary. Therefore, we proposed a software automatic-adjustment method governing the virtual teacher's horizontal rotation angle, so that the learner can easily observe important body motions. The proposed software method was revealed to be effective for motions that gradually reposition the most important moving part. Finally, to enhance the proposed method in the future, we conducted an experiment to find out the effect of setting the vertical view-angle. The result recommended that the more motion's rotation involved the more vertical view angles are wanted to see the whole motion clear.
Year
DOI
Venue
2013
10.1016/j.jss.2012.08.060
Journal of Systems and Software
Keywords
Field
DocType
vertical view angle,optimal view,mixed-reality technology,proposed software method,virtual teacher,best view,mixed reality physical-task,important body motion,mixed-reality environment,support system,software automatic-adjustment method,horizontal rotation angle,virtual reality,human computer interaction,mixed reality
Virtual reality,Computer science,Support system,Real-time computing,Human–computer interaction,Software,Task learning,Artificial intelligence,Computer vision,Collaborative computing,Optimal learning,Mixed reality,Instructional simulation
Journal
Volume
Issue
ISSN
86
7
0164-1212
Citations 
PageRank 
References 
2
0.46
25
Authors
2
Name
Order
Citations
PageRank
Mamoun Nawahdah1185.02
Tomoo Inoue235247.23