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  A virtual agent as vocabulary trainer: Iconic gestures help to improve learners’ memory performance

Bergmann, K., & Macedonia, M. (2013). A virtual agent as vocabulary trainer: Iconic gestures help to improve learners’ memory performance. Lecture Notes in Computer Science, 8108, 139-148. doi:10.1007/978-3-642-40415-3_12.

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 Creators:
Bergmann, Kirsten1, Author
Macedonia, Manuela2, 3, Author           
Affiliations:
1Faculty of Technology, University of Bielefeld, Germany, ou_persistent22              
2Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634556              
3Department for Information Systems, Johannes Kepler University, Linz, Austria, ou_persistent22              

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Free keywords: Vocabulary acquisition; Iconic gestures; Memory performance
 Abstract: An important and often laborious task in foreign language acquisition is vocabulary learning. Research has repeatedly demonstrated that performing iconic gestures together with novel words has a beneficial effect on learning performance. Can these findings be transferred onto virtual agents applied in gesture-supported vocabulary training? We present a study investigating whether iconic gestures performed by a virtual agent and imitated by learners have an impact on verbal memory for words in a foreign language. In a within-subject design we compared participants’ memory performance achieved with the help of a virtual agent and those achieved with the help of a human trainer regarding both short-term learning effects and long-term decay effects. The overall results demonstrate improved memory scores when participants learned with a virtual agent. Especially high performers could profit from gesture-supported training with a virtual agent.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-40415-3_12
 Degree: -

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Title: Lecture Notes in Computer Science
  Other : Lect. Notes Comput. Sci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 8108 Sequence Number: - Start / End Page: 139 - 148 Identifier: ISSN: 0302-9743
CoNE: https://pure.mpg.de/cone/journals/resource/954928560451