Assessment of Collaboration and Feedback on Gesture Performance

This paper proposes gesture performance as one main channel for assessing collaboration skills, while multiple users solve a problem collaboratively on a tangible user interface. Collaborative problem solving incorporates two dimensions, complex problem solving and collaboration. Thus, the technolog...

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Published inTechnology Enhanced Assessment Vol. 1014; pp. 219 - 232
Main Authors Anastasiou, Dimitra, Ras, Eric, Fal, Mehmetcan
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Online AccessGet full text
ISBN3030252639
9783030252632
ISSN1865-0929
1865-0937
DOI10.1007/978-3-030-25264-9_14

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Abstract This paper proposes gesture performance as one main channel for assessing collaboration skills, while multiple users solve a problem collaboratively on a tangible user interface. Collaborative problem solving incorporates two dimensions, complex problem solving and collaboration. Thus, the technology-based assessment of collaborative problem solving includes assessing both problem solving and collaboration skills. Particularly, for assessing collaboration skills, we consider gesture performance as an important indicator. We differentiate between physical 3D mid-air gestures and manipulative gestures; for the latter, we developed a gesture recognition application using Kinect. The method we follow for object and gesture recognition is to merge the logging files from our tangible interface software framework (object recognition) with the Kinect log files (gesture recognition) in one file. The application can analyze the number of object manipulations with respect to timing axis, subject/participant, and handedness.
AbstractList This paper proposes gesture performance as one main channel for assessing collaboration skills, while multiple users solve a problem collaboratively on a tangible user interface. Collaborative problem solving incorporates two dimensions, complex problem solving and collaboration. Thus, the technology-based assessment of collaborative problem solving includes assessing both problem solving and collaboration skills. Particularly, for assessing collaboration skills, we consider gesture performance as an important indicator. We differentiate between physical 3D mid-air gestures and manipulative gestures; for the latter, we developed a gesture recognition application using Kinect. The method we follow for object and gesture recognition is to merge the logging files from our tangible interface software framework (object recognition) with the Kinect log files (gesture recognition) in one file. The application can analyze the number of object manipulations with respect to timing axis, subject/participant, and handedness.
Author Ras, Eric
Fal, Mehmetcan
Anastasiou, Dimitra
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  surname: Anastasiou
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  givenname: Mehmetcan
  surname: Fal
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  email: mehmetcan.fal@tai.com.tr
  organization: Turkish Aerospace, Ankara, Turkey
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Zhou, Lizhu
Kotenko, Igor
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Ghosh, Ashish
Yuan, Junsong
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  organization: Tsinghua University , Beijing, China
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Snippet This paper proposes gesture performance as one main channel for assessing collaboration skills, while multiple users solve a problem collaboratively on a...
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SourceType Publisher
StartPage 219
SubjectTerms Assessment framework
Collaboration
Feed-forward
Feedback
Gestures
Tangible user interfaces
Title Assessment of Collaboration and Feedback on Gesture Performance
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