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A systematic narrative review of agent persona on learning outcomes and design variables to enhance personification

Bibliographic Data

ID21744115
AuthorsRobert O Davis (0000-0002-6570-4477, English Linguistics and Language Technology, Hankuk University of Foreign Studies, Imun-ro, Dongdaemun-gu, Korea), Taejung Park (0000-0002-7709-1890, Kyonggi University), Joseph Vincent (0000-0003-2220-965X, Hankuk University of Foreign Studies)
Year2021
Volume53
Issue1
Pages89-106
Publication date2021-01-02
Open AccessNo
TypeARTICLE
VenueJournal of Research on Technology in Education (JOURNAL)
Journal identifiersISSN: 1539-1523 • E-ISSN: 1945-0818
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15391523.2020.1830894
OpenAlexW3134927537
LanguageEN
Citations received10
References cited33

Early researchers suggested that virtual humans (animated pedagogical agents) required a persona if they were to be anthropomorphized by the user. Over the past two decades, research has focused on design features that target the perception of persona in order to increase the anthropomorphization of the agent toward the end of increased learning outcomes. This systematic narrative review analyzes studies that have measured agent persona using the Agent Persona Instrument to assess whether there is evidence that persona increases learning outcomes. Our findings suggest that significantly higher persona ratings have little effect on learning outcomes. However, design features such as facial expressions and gestures were more important moderators of agent persona than voice and agent type, and environmental details such as study domain or student population suggested no clear direction in the perception of persona. The article concludes with a discussion of future directions for study designs and potential frontiers

Art · Gesture · Human–computer interaction · Literature · Narrative · Perception · Persona · Population · Sociology · Computer Science · Design Education and Practice · Empathy and Medical Education · Persona Design and Applications · Psychology · Artificial Intelligence

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Citations per year2
Citation span2021 - 2025 (5)
Highly citedNo

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