Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/2469
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dc.contributor.authorNawahdah, Mamoun
dc.date.accessioned2016-10-13T05:28:18Z
dc.date.available2016-10-13T05:28:18Z
dc.date.issued2011-6
dc.identifier.citationen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11889/2469
dc.descriptionen_US
dc.description.abstractIt 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 mixedreality 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 experiments have 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.
dc.language.isoenen_US
dc.publisheren_US
dc.subject.lcshVirtual reality
dc.subject.lcshEducation - Effect of technological innovations on
dc.subject.lcshHuman-computer interaction
dc.titleHelping physical task learning by automatic adjustment of a virtual teacher's rotation angleen_US
dc.title.alternativeen_US
dc.typeStudiesen_US
newfileds.departmenten_US
newfileds.custom-issue-dateen_US
newfileds.corporate-authoren_US
newfileds.conferenceen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-progen_US
newfileds.general-subjecten_US
item.grantfulltextopen-
item.languageiso639-1other-
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