Research on the Design of Color Emotional Preferences in Products for Children with Autism Spectrum Disorder Based on Physiological Measurements and Random Forests
Pages 114 - 123
Abstract
This study explores whether professionals engaged in Autism Spectrum Disorder (ASD) rehabilitation work develop similar color preferences through prolonged interactions with ASD children. The aim is to utilize these preferences for conducting color emotion research with ASD children, thereby mitigating challenges and limitations posed by ASD children in experiments. Physiological measurements, including Electrodermal Activity (EDA) and Electrocardiogram (ECG), were obtained from ASD rehabilitation teachers during specific color stimuli. The study aimed to reveal whether there are emotional tendencies similar to ASD children in color emotions. Industrial design undergraduate students were invited to participate in the evaluation, utilizing their physiological signals and a random forest model to establish a dual-layer correlation structure of "physiological signals - wearable color distance perception" for emotional image evaluation. The model was compared with GBDT, Adaboost, Xgboost, and RF algorithm models. Experimental results indicate (1) ASD rehabilitation teachers exhibit color preferences similar to ASD children; (2) the dual-modal (EDA + ECG) product color emotion image evaluation model based on random forests achieves a prediction accuracy of 85.35%; (3) wearable products (bracelets) based on the yellow + green combination provide a deeper sense of affinity.
References
[1]
Devillez H, Mollison M V, Hagen S. Color and spatial frequency differentially impact early stages of perceptual expertise training [J]. Neuropsychologia, 2019, 122: 62-75.
[2]
Nair, Ashwini Sunil, "A case study on the effect of light and colors in the built environment on autistic children's behavior." Frontiers in psychiatry 13, 2022: 1042641.
[3]
Riazi Haratemeh, Zahra, and Maryam Ghasemi Sichani. "Color Application in Educational Spaces for Children with Autism." Journal of Studies in Color World 8.4, 2019: 39-50.
[4]
Man, D. I. N. G., "Product color emotional design method based on implicit measurement and BP neural network." Computer Integrated Manufacturing System 29.2, 2023: 616.
[5]
Ding, Man, "Using event-related potentials to identify user's moods induced by product color stimuli with different attributes." Displays 74, 2022: 102198.
[6]
Ding, Man, "The emotional design of product color: An eye movement and event‐related potentials study." Color Research & Application 46.4, 2021: 871-889.
[7]
Brave S, Nass C. Emotion in human-computer interaction[M]//The human-computer interaction handbook. CRC Press, 2007: 103-118. https://dl.acm.org/doi/10.5555/772072.772081
[8]
Lidwell W, Holden K, Butler J. Universal principles of design, revised and updated: 125 ways to enhance usability, influence perception, increase appeal, make better design decisions, and teach through design [M]. Rockport Pub, 2010.
[9]
Chung S, Son J W. Visual perception in autism spectrum disorder: a review of neuroimaging studies[J]. Journal of the Korean Academy of Child and Adolescent Psychiatry, 2020, 31(3): 105. https://doi.org/10.5765/jkacap.200018
[10]
Desai U, Shetty A D. Electrodermal activity (EDA) for treatment of neurological and psychiatric disorder patients: a review[C]//2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021, 1: 1424-1430. https://doi.org/10.1109/ICACCS51430.2021.9441808
[11]
Houssein, Essam H., Moataz Kilany, and Aboul Ella Hassanien. "ECG signals classification: a review." International Journal of Intelligent Engineering Informatics 5.4, 2017: 376-396.
[12]
Ritchey T, Ritchey T. General morphological analysis (GMA)[J]. Wicked Problems–Social Messes: Decision Support Modelling with Morphological Analysis, 2011: 7-18.
[13]
Albertazzi L, Da Pos O. Color names, stimulus color, and their subjective links[J]. Color Research & Application, 2017, 42(1): 89-101.
[14]
Natalia Distefano, Salvatore Leonardi, Giulia Pulvirenti, Richard Romano, Erwin Boer, Ellie Wooldridge, Mining of the association rules between driver electrodermal activity and speed variation in different road intersections, IATSS Research, Volume 46, Issue 2, 2022, Pages 200-213, ISSN 0386-1112,https://doi.org/10.1016/j.iatssr.2021.12.002.
[15]
Wang X, Chen Z, Ma D, Relationship between Visual and Thermal Comfort and Electrodermal Activity in Campus Blue–Green Spaces: A Case Study of Guangzhou, China[J]. Sustainability, 2023, 15(15): 11742.
[16]
Grandgeorge M, Masataka N. Atypical color preference in children with autism spectrum disorder[J]. Frontiers in psychology, 2016, 7: 1976.
[17]
Tao Zhiqi. Application and research of data mining classification algorithm in product classification[J]. Modern Business, 2016, No.443(34):86-88.
[18]
Devilbiss D M, Waterhouse B D. Phasic and tonic patterns of locus coeruleus output differentially modulate sensory network function in the awake rat [J]. Journal of neurophysiology, 2011, 105(1): 69-87.
[19]
Browne, Michael W. "Cross-validation methods." Journal of mathematical psychology 44.1, 2000: 108-132.
Index Terms
- Research on the Design of Color Emotional Preferences in Products for Children with Autism Spectrum Disorder Based on Physiological Measurements and Random Forests
Recommendations
Comments
Information & Contributors
Information
Published In

December 2023
917 pages
ISBN:9798400716669
DOI:10.1145/3659211
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 May 2024
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
BDEIM 2023
BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management
December 8 - 10, 2023
Zhengzhou, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 19Total Downloads
- Downloads (Last 12 months)19
- Downloads (Last 6 weeks)4
Reflects downloads up to 28 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format