QUANTITATIVE ANALYSIS OF EMOTIONAL PERCEPTION IN 3D INTERIOR ANIMATION USING CINEMATIC LIGHTING AND FUZZY LOGIC
DOI:
https://doi.org/10.33480/jitk.v12i1.8022Keywords:
3D Animation, cinematic lighting, emotional perception, fuzzy logic, visual hermeneuticsAbstract
Cinematic visual aspects such as lighting, color, and camera framing play an important role in shaping emotional and narrative experiences in 3D animation. However, their translation into measurable computational emotional outputs remains limited. This study proposes a computational framework for modeling audience emotional perception in a static 3D animated environment by integrating visual hermeneutics, quantitative analysis, and fuzzy logic inference. A total of 450 animation frames from a single 3D interior setting were analyzed across three narrative phases: beginning, climax, and resolution. Qualitative shot-by-shot analysis was used to interpret the symbolic function of visual elements, while quantitative data were obtained from light intensity and color temperature measurements and an emotional perception questionnaire analyzed using repeated measures ANOVA. The results show significant differences in depression, tension, and hope across narrative phases (p < 0.001), corresponding to systematic changes in lighting, color, and framing. The study formalizes cinematic visual parameters as fuzzy input variables and produces a measurable emotional index through defuzzification, consistent with the ANOVA findings. The novelty of this study lies in integrating visual hermeneutics and fuzzy logic to model emotion in a static 3D environment and validate it statistically. Practically, the model can support animators and multimedia designers in planning emotion-oriented lighting strategies and evaluating visual scenes more systematically.
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[1] L. Lu et al., “Visual Constructs of Conflict and Solidarity: The Role of Visual Framing on Public Perceptions and Engagement Intentions with Social Protests,” Visual Communication Quarterly, vol. 32, no. 1, pp. 17–32, Jan. 2025, doi: 10.1080/15551393.2025.2452959.
[2] S. Huttunen, “Ecological Approach to Cinematographic Lighting of the Human Face – A Pilot Study,” Baltic Screen Media Review, vol. 10, no. 2, pp. 274–291, Dec. 2022, doi: 10.2478/bsmr-2022-0020.
[3] M. Bagherzadeh, E. Sanati, and M. Naghipour, “Exposing the world through Emanuel Lubezki’s method,” CINEJ Cinema Journal, vol. 11, no. 1, pp. 193–215, Oct. 2023, doi: 10.5195/cinej.2023.447.
[4] M. C. Wibowo, S. Nugrhono, and A. Wibowo, “Visual aesthetics of narrative animation of 3D computer graphics: From both realist and expressive points of view,” Humanities, Arts and Social Sciences Studies, Apr. 2024, doi: 10.69598/hasss.24.1.260646.
[5] M. C. Wibowo, S. Nugrhono, and A. Wibowo, “Visual aesthetics of narrative animation of 3D computer graphics: From both realist and expressive points of view,” Humanities, Arts and Social Sciences Studies, Apr. 2024, doi: 10.69598/hasss.24.1.260646.
[6] S. Li, “Visual Communication of Light in 3D Film and Television Animation,” 2022, pp. 79–85. doi: 10.1007/978-981-16-5854-9_10.
[7] P. N. B. binti Sharizan and Mohd. S. Juhan, “Illuminating Emotion: The Role of Lighting in Shaping Atmosphere in Kubo and The Two Strings (2016),” International Journal of Research and Innovation in Applied Science, vol. X, no. VIII, pp. 1806–1811, 2025, doi: 10.51584/IJRIAS.2025.100800157.
[8] M. Russo, “Shared cartoon style in CG animation to maximize empathy,” Punctum. International Journal of Semiotics, vol. 10, no. 1, pp. 205–228, 2024, doi: 10.18680/hss.2024.0011.
[9] M. Niazi, A. Shoukat, and A. S. Saif, “Illuminating the Cinematic Palette: A Comparative Analysis of Lightning Techniques and their Emotional Impact in Horror Films,” Human Nature Journal of Social Sciences, vol. 5, no. 4, pp. 143–156, Dec. 2024, doi: 10.71016/hnjss/1td3wd35.
[10] Y. Kim, “Study on the Meaning of Characters’ Colors in the 3D Animation Elemental,” TECHART: Journal of Arts and Imaging Science, vol. 11, no. 1, pp. 29–35, Feb. 2024, doi: 10.15323/techart.2024.2.11.1.29.
[11] A. Mostafavi, J. G. Cruz-Garza, and S. Kalantari, “Enhancing lighting design through the investigation of illuminance and correlated color Temperature’s effects on brain activity: An EEG-VR approach,” Journal of Building Engineering, vol. 75, p. 106776, Sep. 2023, doi: 10.1016/j.jobe.2023.106776.
[12] J. J. Y. Chung, M. Roemmele, and M. Kreminski, “Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols,” in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, Apr. 2025, pp. 1–23. doi: 10.1145/3706598.3713435.
[13] K. Lee and T. Kim, “Single Emotion Recognition from Multiple Faces with Fuzzy System,” Moving Image & Technology (MINT), vol. 2, no. 4, pp. 7–11, Nov. 2022, doi: 10.15323/MINT.2022.11.2.4.7.
[14] S. Huttunen, “Ecological Approach to Cinematographic Lighting of the Human Face – A Pilot Study,” Baltic Screen Media Review, vol. 10, no. 2, pp. 274–291, Dec. 2022, doi: 10.2478/bsmr-2022-0020.
[15] D. Prasetyo, N. Ramadhani, M. Hariadi, and I. Rizky Mutiaz, “Lighting Dynamics for Emotional Perception: A Technology-Driven Virtual Simulation Approach,” Engineering, Technology & Applied Science Research, vol. 15, no. 2, pp. 22196–22202, Apr. 2025, doi: 10.48084/etasr.10434.
[16] K. Lee and T. Kim, “Single Emotion Recognition from Multiple Faces with Fuzzy System,” Moving Image & Technology (MINT), vol. 2, no. 4, pp. 7–11, Nov. 2022, doi: 10.15323/MINT.2022.11.2.4.7.
[17] A. Andreas, M. Hariadi, M. Purnomo, and K. Kondo, “Two Stage Fuzzy Inference Systems for Autonomous Lighting in 3D Animated Movie Scene,” International Journal of Intelligent Engineering and Systems, vol. 13, no. 5, pp. 211–225, Oct. 2020, doi: 10.22266/ijies2020.1031.19.
[18] X. Du, S. Zhao, D. Zhang, and Y. Yu, “Comparative analysis of light environment perception, eye movement and physiology in university professional classroom based on virtual reality experiment,” Indoor and Built Environment, vol. 32, no. 6, pp. 1152–1169, Jul. 2023, doi: 10.1177/1420326X231153922.
[19] A. Mostafavi, T. B. Xu, and S. Kalantari, “Effects of illuminance and correlated color temperature on emotional responses and lighting adjustment behaviors,” Journal of Building Engineering, vol. 86, p. 108833, Jun. 2024, doi: 10.1016/j.jobe.2024.108833.
[20] M. Conlen, J. Heer, H. Mushkin, and S. Davidoff, “Cinematic Techniques in Narrative Visualization,” Jan. 2023, [Online]. Available: http://arxiv.org/abs/2301.03109
[21] Z. Bhatii, H. O. Farooq, N. Azeema, N. Shahid, A. Y. Amir, and M. A. H. Sany, “LIGHT MANIPULATION AND LENS CHOICES: INFLUENCE THE MOOD AND LOOK OF SCENES,” Insights-Journal of Life and Social Sciences, vol. 3, no. 1, pp. 41–53, Jan. 2025, doi: 10.71000/n4nvr719.
[22] J. G. Negrão, P. R. Bazán, R. M. de Azevedo Neto, S. S. Lacerda, E. Ekman, and E. H. Kozasa, “Baseline emotional state influences on the response to animated short films: A randomized online experiment,” Front. Psychol., vol. 13, Dec. 2022, doi: 10.3389/fpsyg.2022.1009429.
[23] N. Ramadhani, D. Prasetyo, M. Hariadi, and I. R. Mutiaz, “Digital Twin-Driven Virtual Cinematography: Statistical Analysis of Camera Techniques for Enhanced Narrative Engagement in Drama Production,” Engineering, Technology & Applied Science Research, vol. 15, no. 4, pp. 25915–25921, Aug. 2025.
[24] P. N. B. binti Sharizan and Mohd. S. Juhan, “Illuminating Emotion: The Role of Lighting in Shaping Atmosphere in Kubo and The Two Strings (2016),” International Journal of Research and Innovation in Applied Science, vol. X, no. VIII, pp. 1806–1811, 2025, doi: 10.51584/IJRIAS.2025.100800157.
[25] S. Kwak, D. Lim, D. Terekhina, H. Kim, J. P. Purwojuwono, and K. Choi, “The Interplay of Material, Lighting Color Temperature, and Lighting Type: Assessing Emotional Responses in Exhibition Environments,” Journal of Korea Society of Color Studies, vol. 38, no. 1, pp. 55–63, Feb. 2024, doi: 10.17289/jkscs.38.1.202402.55.
[26] R. McDonnell, B. Vyas, U. Sikimic, and P. Wisessing, “Feeling Blue or Seeing Red? Investigating the effect of light color, shadow and realism on the perception of emotion of real and virtual humans,” in Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers, New York, NY, USA: ACM, Aug. 2025, pp. 1–11. doi: 10.1145/3721238.3730728.
[27] Z. Bhatii, H. O. Farooq, N. Azeema, N. Shahid, A. Y. Amir, and M. A. H. Sany, “LIGHT MANIPULATION AND LENS CHOICES: INFLUENCE THE MOOD AND LOOK OF SCENES,” Insights-Journal of Life and Social Sciences, vol. 3, no. 1, pp. 41–53, Jan. 2025, doi: 10.71000/n4nvr719.
[28] J. J. Y. Chung, M. Roemmele, and M. Kreminski, “Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols,” in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, Apr. 2025, pp. 1–23. doi: 10.1145/3706598.3713435.
[29] J. Xu et al., “Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation,” Jan. 2025, doi: https://doi.org/10.48550/arXiv.2501.01700.
[30] J. Chen, “Visual Style Innovation and Practice in Animation Design,” Highlights in Art and Design, vol. 9, no. 1, pp. 19–23, Jan. 2025, doi: 10.54097/aspt3c46.
[31] U. Tandon and R. Sharma, “CHANGES IN 3D ANIMATION IN INDIA FROM EARLY 2010S TO 2024,” INTERNATIONAL JOURNAL OF GRAPHICS AND MULTIMEDIA, vol. 12, no. 1, pp. 1–12, Jan. 2025, doi: 10.34218/IJGM_12_01_001.
[32] Dewi Widiyastutin Suripto, Ramli S, and Ansir Launtu, “Storytelling Marketing, Positive Emotion, and Impulse Buying Behavior on Buying Decisions in Retail,” Jurnal e-bussiness Institut Teknologi dan Bisnis Muhammadiyah Polewali Mandar, vol. 4, no. 2, pp. 6–15, Jan. 2025, doi: 10.59903/ebussiness.v4i2.120.
[33] A. Karmakar, “The Impact of Viewers’ Response on Animation Character Design: Exploring Emotional Engagement,” SSRN Electronic Journal, 2025, doi: 10.2139/ssrn.5086644.
[34] S. Li, “Visual Communication of Light in 3D Film and Television Animation,” 2022, pp. 79–85. doi: 10.1007/978-981-16-5854-9_10.
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Copyright (c) 2026 Didit Prasetyo, Nugrahardi Ramadhani, Kartika Kusuma Wardani, Nurina Orta Darmawati

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