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  4. Can We Take Out CARLA from the Uncanny Valley? Analyzing Avatar Design of an Educational Conversational Agent
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Can We Take Out CARLA from the Uncanny Valley? Analyzing Avatar Design of an Educational Conversational Agent

Journal
Advances in Computational Intelligence. MICAI 2023 International Workshops WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings
ISSN
0302-9743
Publisher
Springer
Date Issued
2024-01-01
Author(s)
Macias-Huerta, Pablo Isaac
Lecona-Valdespino, Carlos Natanael
Santamaría-Bonfil, Guillermo
Marmolejo-Ramos, Fernando
Type
Resource Types::text::book::book part
DOI
10.1007/978-3-031-51940-6_6
URL
https://scripta.up.edu.mx/handle/20.500.12552/9990
Abstract
The integration of conversational agents into virtual-reality educational environments holds immense promise. However, the uncanny valley phenomenon looms as a critical challenge, potentially impacting the effectiveness of these educational agents. This manuscript delves into the pivotal role of avatar design within virtual-reality educational systems and its implications for user experience during learning sessions. In this work, a comprehensive comparison of two distinct avatars used by a virtual-reality conversational educational agent was undertaken, exploring their impact on user acceptance and enjoyability. Through user feedback, the avatar design that mitigates the uncanny valley effect was determined, ultimately allowing to choose the best avatar to enhance human-computer interaction.
Subjects

Uncanny Valley

Avatar design

Conversational agent

Educational environme...

Virtual reality

FACS

Educational agent

How to cite
Macias-Huerta, P.I., Lecona-Valdespino, C.N., Santamaría-Bonfil, G., Marmolejo-Ramos, F. (2024). Can We Take Out CARLA from the Uncanny Valley? Analyzing Avatar Design of an Educational Conversational Agent. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science(), vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_6

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