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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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 Urheber:
Bergmann, Kirsten1, Autor
Macedonia, Manuela2, 3, Autor           
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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Schlagwörter: Vocabulary acquisition; Iconic gestures; Memory performance
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2013
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-642-40415-3_12
 Art des Abschluß: -

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Titel: Lecture Notes in Computer Science
  Andere : Lect. Notes Comput. Sci.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Berlin : Springer
Seiten: - Band / Heft: 8108 Artikelnummer: - Start- / Endseite: 139 - 148 Identifikator: ISSN: 0302-9743
CoNE: https://pure.mpg.de/cone/journals/resource/954928560451