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Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters (2306.16233v1)

Published 28 Jun 2023 in cs.HC

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.

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References (34)
  1. EEG-Based Assessment of Perceived Realness in Stylized Face Images. In 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), pages 1–4, May 2020. ISSN: 2472-7814.
  2. The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, June 2015.
  3. Timothy A. Brown. Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications, January 2015. Google-Books-ID: tTL2BQAAQBAJ.
  4. The Human Likeness Dimension of the “Uncanny Valley Hypothesis”: Behavioral and Functional MRI Findings. Frontiers in Human Neuroscience, 5, 2011.
  5. Arousal, valence, and the uncanny valley: psychophysiological and self-report findings. Frontiers in Psychology, 6, 2015.
  6. Face Research Lab London Set, 2017. Artwork Size: 88208545 Bytes Pages: 88208545 Bytes.
  7. Independent EEG Sources Are Dipolar. PLoS ONE, 7(2):e30135, February 2012.
  8. A Meta-analysis of the Uncanny Valley’s Independent and Dependent Variables. ACM Transactions on Human-Robot Interaction, 11(1):1:1–1:33, October 2021.
  9. Alexandre Gramfort. MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7, 2013.
  10. Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, 26(6):1508–1518, November 2010.
  11. Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage, 159:417–429, October 2017.
  12. Herbert H Jasper. The ten-twenty electrode system of the International Federation. Electroencephalogr. Clin. Neurophysiol., 10:370–375, 1958.
  13. ERP Components: The Ups and Downs of Brainwave Recordings. December 2011.
  14. Thirty years and counting: Finding meaning in the N400 component of the event related brain potential (ERP). Annual review of psychology, 62:621–647, 2011.
  15. Virtual Faces Evoke Only a Weak Uncanny Valley Effect: An Empirical Investigation With Controlled Virtual Face Images. Perception, 48(10):968–991, October 2019.
  16. The topography of the uncanny valley and individuals’ need for structure: A nonlinear mixed effects analysis. Journal of Research in Personality, 68:96–113, June 2017.
  17. Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Cognition, 146:190–205, January 2016.
  18. Categorization-based stranger avoidance does not explain the uncanny valley effect. Cognition, 161:132–135, April 2017.
  19. The Uncanny Valley [From the Field]. IEEE Robotics & Automation Magazine, 19(2):98–100, June 2012.
  20. How Human Am I?: EEG-based Evaluation of Virtual Characters. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 5098–5108, Denver Colorado USA, May 2017. ACM.
  21. Astrid M. Rosenthal-von Der Pütten and Nicole C. Krämer. How design characteristics of robots determine evaluation and uncanny valley related responses. Computers in Human Behavior, 36:422–439, July 2014.
  22. Bruno Rossion. Understanding face perception by means of human electrophysiology. Trends in Cognitive Sciences, 18(6):310–318, June 2014. Publisher: Elsevier.
  23. The N170: Understanding the time course of face perception in the human brain. In The Oxford handbook of event-related potential components, Oxford library of psychology, pages 115–141. Oxford University Press, New York, NY, US, 2012.
  24. Avoidance of Novelty Contributes to the Uncanny Valley. Frontiers in Psychology, 8:1792, October 2017.
  25. Differential effects of face-realism and emotion on event-related brain potentials and their implications for the uncanny valley theory. Scientific Reports, 7(1):45003, March 2017.
  26. The uncanny valley: No need for any further judgments when an avatar looks eerie. Computers in Human Behavior, 94:100–109, May 2019.
  27. Small is beautiful: In defense of the small-N design. Psychonomic Bulletin & Review, 25(6):2083–2101, December 2018.
  28. Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction. In Communications on Applied Electronics, volume 4, pages 12–19, January 2016. ISSN: 23944714 Issue: 1 Journal Abbreviation: CAE.
  29. Angela Tinwell. The Uncanny Valley in Games and Animation. CRC Press, December 2014. Google-Books-ID: 8mZYBQAAQBAJ.
  30. Facial expression of emotion and perception of the Uncanny Valley in virtual characters. Computers in Human Behavior, 27(2):741–749, March 2011.
  31. Uncanny valley as a window into predictive processing in the social brain. Neuropsychologia, 114:181–185, June 2018.
  32. Scoping review of the neural evidence on the uncanny valley. Computers in Human Behavior Reports, 9:100263, March 2023.
  33. The Uncanny Valley Phenomenon and the Temporal Dynamics of Face Animacy Perception. Perception, 49(10):1069–1089, October 2020.
  34. The Uncanny Valley: Existence and Explanations. Review of General Psychology, 19(4):393–407, December 2015. Publisher: SAGE Publications Inc.
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