Decision Support Model for the Design of Virtual Avatars Used in Job Training

Martin Manriquez (), Daniel Gálvez (), Pavlo Santander (), Lorena Delgado () and Christopher Cáceres ()
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Martin Manriquez: University of Santiago of Chile (USACH), Industrial Engineering Department, FacultyofEngineering
Daniel Gálvez: University of Santiago of Chile (USACH), Industrial Engineering Department, FacultyofEngineering
Pavlo Santander: University of Santiago of Chile (USACH), Industrial Engineering Department, FacultyofEngineering
Lorena Delgado: University of Santiago of Chile (USACH), Industrial Engineering Department, FacultyofEngineering
Christopher Cáceres: University of Santiago of Chile (USACH), Industrial Engineering Department, FacultyofEngineering

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 105-112 from Springer

Abstract: Abstract Virtual avatars have a great potential to be used as teaching methods, which opens an opportunity to support the training system in companies. However, the success of this type of tools depends on several factors, from their appearance to the way they interact with users. This paper proposes a decision support model for the design of these avatars to improve their positive impact and acceptability to users. A model that complements the AHP and Dematel methods is carried out to identify importance and relationships between the factors that determine the acceptability of a virtual avatar. The results show that the avatar’s movements and face are two of the most relevant factors in the design, in addition, corporality influences the acceptability of the other factors.

Keywords: Job training; Decision making; Virtual Avatar; multicriteria model (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23124-6_13

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DOI: 10.1007/978-3-032-23124-6_13

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