Paper Info
Title
Helping physical task learning by automatic adjustment of a virtual teacher's rotation angle
Abstract
It is known that a virtual teacher-model's position and orientation influence (a) the number of errors, and (b) the accomplishment time, in physical-task learning using mixed-reality environments. This paper proposes an automatic adjustment method of the virtual teacher's rotation angle so that the learner can observe the important body motion easily. The method divides the whole task motion into fixed duration segments, seeks the most moving part of the body in each segment, and rotates the virtual teacher to show the most important part to the learner accordingly. To test the method, a generic physical task learning experiment has been conducted. The method was revealed to be effective to the motion that gradually changes the most moving part such as manufacturing and cooking tasks.
Year
DOI
Venue
2011
10.1109/CSCWD.2011.5960196
Computer Supported Cooperative Work in Design
Keywords
Field
DocType
computer aided instruction,human computer interaction,virtual reality,accomplishment time,automatic adjustment method,mixed-reality environments,physical task learning,virtual teacher rotation angle,virtual teacher-model orientation,virtual teacher-model position,Human Computer Interaction,Mixed Reality,Physical Task Learning,Virtual Reality
Computer aided instruction,Virtual reality,Computer science,Task learning,Solid modeling,Mixed reality,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4577-0386-7
2
0.39
References 
Authors
10
2
Name
Order
Citations
PageRank
Mamoun Nawahdah1185.02
Tomoo Inoue235247.23