Abstract
The Uncanny Valley phenomenon refers to the feeling of unease that arises when interacting with characters that appear almost, but not quite, human-like. First theorised by Masahiro Mori in 1970, it has since been widely observed in different contexts from humanoid robots to video games, in which it can result in players feeling uncomfortable or disconnected from the game, leading to a lack of immersion and potentially reducing the overall enjoyment. The phenomenon has been observed and described mostly through behavioural studies based on self-reported scales of uncanny feeling: however, there is still no consensus on its cognitive and perceptual origins, which limits our understanding of its impact on player experience. In this paper, we present a study aimed at identifying the mechanisms that trigger the uncanny response by collecting and analysing both self-reported feedback and EEG data.
Index Terms—Uncanny Valley, Virtual Characters, Video Games, EEG, ERP, Survey, Perception, Cognition
Index Terms—Uncanny Valley, Virtual Characters, Video Games, EEG, ERP, Survey, Perception, Cognition
Original language | English |
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Title of host publication | Proceedings of the IEEE Conference on Game |
Publisher | IEEE |
Publication date | 2023 |
ISBN (Print) | 979-8-3503-2278-1 |
ISBN (Electronic) | 979-8-3503-2277-4 |
DOIs | |
Publication status | Published - 2023 |
Series | Proceedings of the 2023 IEEE conference on Games |
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Keywords
- Uncanny Valley
- Human-like Characters
- Masahiro Mori
- Humanoid Robots
- Player Immersion
- Behavioural Studies
- Self-reported Scales
- Cognitive Origins
- Perceptual Mechanisms
- EEG Data
- ERP
- Video Game Experience
- Player Feedback
- Cognitive and Perceptual Origins
- Human-Computer Interaction
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Dive into the research topics of 'Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters'. Together they form a unique fingerprint.Datasets
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EEG Recordings of Exposure to Unrealistic, Semi-realistic and Realistic Character Faces
Gorlini, C. (Creator), Dixen, L. (Creator) & Burelli, P. (Creator), ZENODO, 18 May 2023
DOI: 10.5281/zenodo.7948158, https://zenodo.org/record/7948158
Dataset