Perceived authenticity of virtual characters makes the difference
Conventionally, human-controlled and machine-controlled virtual characters are studied separately under different theoretical frameworks based on the ontological nature of the particular virtual character. However, in recent years, the technological advancement has made the boundaries between human...
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sg-ntu-dr.10356-1688922023-06-25T15:33:05Z Perceived authenticity of virtual characters makes the difference Huang, Junru Jung, Younbo Wee Kim Wee School of Communication and Information Social sciences::Communication Human-Machine Communication Perceived Realness Conventionally, human-controlled and machine-controlled virtual characters are studied separately under different theoretical frameworks based on the ontological nature of the particular virtual character. However, in recent years, the technological advancement has made the boundaries between human and machine agency increasingly blurred. This manuscript proposes a theoretical framework that can explain how various virtual characters, regardless of their ontological agency, can be treated as unique social actors with a focus on perceived authenticity. Specifically, drawing on the authenticity model in computer-mediated communication proposed by Lee (2020) and a typology of virtual characters, a multi-layered perceived authenticity model is proposed to demonstrate how virtual characters do not have to be perceived as humans and yet can be perceived as authentic to their human interactants. Published version 2023-06-21T06:54:48Z 2023-06-21T06:54:48Z 2022 Journal Article Huang, J. & Jung, Y. (2022). Perceived authenticity of virtual characters makes the difference. Frontiers in Virtual Reality, 3. https://dx.doi.org/10.3389/frvir.2022.1033709 2673-4192 https://hdl.handle.net/10356/168892 10.3389/frvir.2022.1033709 2-s2.0-85146288222 3 en Frontiers in Virtual Reality © 2022 Huang and Jung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf |
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Social sciences::Communication Human-Machine Communication Perceived Realness Huang, Junru Jung, Younbo Perceived authenticity of virtual characters makes the difference |
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Conventionally, human-controlled and machine-controlled virtual characters are studied separately under different theoretical frameworks based on the ontological nature of the particular virtual character. However, in recent years, the technological advancement has made the boundaries between human and machine agency increasingly blurred. This manuscript proposes a theoretical framework that can explain how various virtual characters, regardless of their ontological agency, can be treated as unique social actors with a focus on perceived authenticity. Specifically, drawing on the authenticity model in computer-mediated communication proposed by Lee (2020) and a typology of virtual characters, a multi-layered perceived authenticity model is proposed to demonstrate how virtual characters do not have to be perceived as humans and yet can be perceived as authentic to their human interactants. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Huang, Junru Jung, Younbo |
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Article |
author |
Huang, Junru Jung, Younbo |
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Huang, Junru |
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Perceived authenticity of virtual characters makes the difference |
title_short |
Perceived authenticity of virtual characters makes the difference |
title_full |
Perceived authenticity of virtual characters makes the difference |
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Perceived authenticity of virtual characters makes the difference |
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Perceived authenticity of virtual characters makes the difference |
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perceived authenticity of virtual characters makes the difference |
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2023 |
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https://hdl.handle.net/10356/168892 |
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