Open Access Paper
22 May 2024 A study based on user behavior models and visual immersion strategies: exploring the impact of color in digital spaces on the autism community (Withdrawal Notice)
Lingzi Tang, Muhan Guo, Kuan Zhang, Younghwan Pan
Author Affiliations +
Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131762H (2024) https://doi.org/10.1117/12.3029335
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
Publisher's Note: This paper, originally published on 22 May 2024, was withdrawn on 03 June 2024 per author request.

1.

INTRODUCTION

Research on digital immersion spaces has become a focal point across various fields, offering a unique environment where individuals can fully immerse themselves in experiences crafted by digital technology. However, enhancing user experience remains a key area of investigation. Understanding and effectively leveraging the relationship between user behavior elements and visual immersion components is crucial for achieving personalized content optimization that highly satisfies user needs. This paper explores methods for understanding and analyzing the visual and user behavior elements in digital immersion spaces, studying how changes in user behavior can dynamically optimize content. The goal is to establish a model that can analyze and understand the relationship between user behavior and visual components, thereby achieving content optimization within digital immersion spaces. We have designed and implemented an optimization system that can dynamically adjust visual content based on user behavior, better meeting user experience needs. The effectiveness of this optimization system has been validated through empirical research, with further optimizations and improvements made to enhance the user experience in digital immersion spaces. This paper investigates the effects of art therapy interventions on the autism community through visual color experiments conducted at the Mental Disorder Recovery Center in Zhongshan District, Dalian Province,China focusing on the color preferences and cognitive abilities of the autism group, to create digital immersion spaces for emotional healing interventions in the autistic population.

2.

LITERATURE REVIEW

The Fogg Behavior Model is an essential framework for understanding the generation of behavior. The model explicitly states that the occurrence of a behavior (Behavior, B) requires the fulfillment of three elements: motivation (Motivation, M), ability (Ability, A), and triggers (Triggers, T). When these three elements are present simultaneously, behavior occurs. Motivation is an individual’s desire for a specific behavior, ability is the individual’s actual capacity to execute the behavior, and triggers are stimuli that prompt the individual to act. This theoretical framework provides a significant perspective for understanding user behavior, particularly when analyzing user behavior patterns in digital immersive spaces, where the three elements of motivation, ability, and trigger offer profound insights into user behavior. [1]M represents color preferences, A behalves dwelling behavior in color spaces, and T signifies customized immersive color spaces.

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Meanwhile, Dr. Haneunjing from Hongik University in Korea made an important contribution to immersion theory in her research on digital immersion. She divided immersion into cognition factors, scene factors, and psychological factors. Cognitive immersion emphasizes user thinking and understanding, situational immersion focuses on the relationship between the environment and user, and psychological immersion mainly targets the user’s emotional response. Based on this, Dr. Haneunjing further subdivided nine immersive characteristics represented by physicality, interactivity, and playfulness, along with fifteen immersive factors. As shown in Figure 1.These subdivided characteristics and factors provide us with rich theoretical tools for understanding and designing digital immersive spaces. [2]

Fig. 1

Color samples of Phase I Experiments

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Prior research by Elaine C. Zachi, Thiago L. Costa, Mirella T. S. Barboni, Marcelo F. Costa, Daniela M. O. Bonci, and Dora F. Ventura in “Color Vision Losses in Autism Spectrum Disorders” [3] and by Anna Franklin, Paul Sowden, Rachel Burley, Leslie Notman, and Elizabeth Alder in “Color Perception in Children with Autism” [4] indicates that individuals with autism have reduced color perception abilities. Therefore, this study was designed to better understand the color preferences of the autism community by setting up immersive color spaces. In the visual design of digital immersive spaces, color elements play a crucial role. Especially within visual spaces designed for special groups, colors are the easiest to recognize, which are one of the key factors that can trigger audience perception.

3.

COLOR PERCEPTION EXPERIMENT

3.1

Phase I Experiment

An experiment was conducted by the Dalian Multidimensional Education Center involving 25 individuals with autism to test their color discrimination ability. Different color systems were utilized, such as NCS[5], GRA[6], and HBS, which was adopted for this study. The experiment provided colors of various shades based on the HBS changes. Specifically, each color varied according to the following parameters: H=0, 25, 50, 100, 175, 225, 290, with B and S both ranging from 50% to 100%, resulting in a total of 70 colors (see Figure 1). The test color samples were presented to the participants in a gradient arrangement, asking them to choose their preferred color. All participants took part in the experiment and made their color selections in turns, with two rounds of selection conducted, ultimately yielding 50 sets of experimental data.

From Figure 2, it can be observed that the experimental data show the largest flow area between different saturations (S) and brightness levels (B) for yellow and green, with the longest colored bars in the middle of the area, indicating a preference for choosing yellow and green the most. The results demonstrate that the autism spectrum disorder group has lower sensitivity to saturation and brightness, only being able to recognize different hues, indicating lower color recognition ability. Additionally, it was found that the participants had a narrower field of view, preferring colors closest to their eyes, specifically yellow, green, and teal, which were positioned in the middle of the samples, compared to choosing their preferred colors. Furthermore, during the experiment, stereotypical behaviors such as imitation and following were observed among all participants in the same room, which interfered with the experimental data. Based on these two reasons, a second phase of the experiment was subsequently designed.

Fig. 2

Schematic diagram of the results of Phase I Experiment

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3.2

Phase II Experiment

Combining the results of Phase I with Phase II, the latter phase selected seven solid colors from the choices of Phase I as test samples (see Figure 3), and presented these colors to the participants in a random order for selection. Similarly, this stage of the experiment once again involved the same 25 participants with autism from Phase I for two rounds of testing, totaling 50 instances. To eliminate the misleading effects of stereotypical behavior on the experiment, participants were processed randomly, ensuring that only one participant made a selection at any given time. The testing procedure provided samples of the seven solid colors, allowing participants to freely choose their preferred color and record it. As shown in Figure 4, yellow was the most chosen color, accounting for 29.63% of the selections, differing from Phase I where the number of people choosing green significantly decreased, proving that Phase II effectively eliminated the interference of visual field issues on the experiment.

Fig. 3

Color samples of Phase II Experiments

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Fig. 4

Schematic diagram of the results of the selection of Phase II Experiment

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4.

DIGITAL SPACE DESIGN

4.1

Experimental procedures

Through the two phases of the experiment, solid colors were applied to a space composed of six faces, forming a completely enclosed shape. The size of the space was set to match the dimensions of a typical bedroom area in the homes of individuals with autism.It refers to specific dimensions reference in the schematic diagram (Figure 5). This round of experiments aimed to test the feasibility of the results from the first two experiments in a real-world setting, transforming flat color stimuli into spatial visual stimuli. For this round, 50 individuals with autism were selected to participate in the testing. The experimental procedure allowed these 50 participants to choose which of the seven solid color spaces they wished to enter, based on color samples placed next to the doors of each space (see Figure 6). The order of entry was determined by the participants themselves, but they were required to enter all seven spaces, with each participant making two rounds of choices, for a total of 100 instances. Furthermore, participants could refuse to enter a space, and observations were recorded on the length of time each participant stayed in different colored spaces.

Figure 5.

Space schematic

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Figure 6.

Seven color space diagrams

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4.2

Experimental data processing

In the processing of experimental data, the user behavior optimization model t=A(P+a) was referenced as a standard for data processing to check the reliability of the experimental data from this design. Due to a lower level of cooperation within the experimental group, with some instances of refusal to enter, if a participant did not enter a particular color space, the coefficient A in the model is 0 (A=0); if they entered, then coefficient A is 1 (A=1). The dwell time for each participant is recorded as Pn (n∈N, N={1,2,3,4,…24,25}), and the cumulative dwell time for participants entering each color space is ΣPn, with the expected dwell time in space P0 being 60 seconds (P0=60). The ratio of the cumulative dwell time for participants entering each color space to the total dwell time is calculated as ΣPn/25×P0 (n∈N, N={1,2,3,4,…49,50}), with the results of the completion rate shown in Figure 7. Visitation and non-visitation data are statistically analyzed, and the t value for each color is calculated according to formula [7], with the final t value being the average.

Fig 7.

Statistical chart of the results of one round of completion rate

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Due to the uncontrollable factors in the emotional states of individuals with autism spectrum disorder compared to the general population, the final results were calculated using the average of this method to determine the extent of color impact on the autism spectrum disorder group. The average results, as shown in Figure 8, indicate that yellow had the highest value, whereas the shortest duration of stay was in the purple space, with an average value of only 0.001.

Figure 8.

Histogram of one-round averages

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To ensure the accuracy of the experimental data, the 50 participants were allowed to make a second round of selections on another day. This process was identical to the first round of study, with each individual from the autism community sequentially choosing their preferred color. The time spent in each of the seven color spaces was also recorded. The completion rates Pn for the seven color spaces are shown in Figure 9, and the average t results are shown in Figure 10. Both charts indicate that the autism community prefers yellow, with more participants refusing to enter the purple room.

Figure 9.

Statistical chart of the results of the second round of completion rates

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Figure 10.

Histogram of second-round averages

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4.3

Experimental results

To minimize fluctuations within the data, the experimental data were controlled within the interval (0, 0.1). According to statistical results, aside from the noticeably higher average value for yellow, which may approach 0.9, the averages for other colors were generally within the lower range (0.00≤t≤0.033). Based on the average completion rates, yellow accumulated the highest number of hours across both rounds of testing, reaching 32% in the first round and 30% in the second round. Orange had the second-highest completion rate after yellow, with both rounds achieving 20%. The results for green were slightly lower than orange, at 12% in the first round and 16% in the second round. Red, blue, cyan, and purple did not exceed 20% in any round of testing.

5.

METHOD

Compared to neurotypical individuals, those with autism experience significantly reduced attention spans. This study found that visual stimuli can effectively enhance the attention of the autism community, with color stimuli serving as one of the effective elements that can intuitively express the emotional state of the group. This experience combined questionnaire surveys and sampling investigations, repeatedly collecting data, and analyzed the attention and emotional regulation levels of the subjects. In the data processing phase, the study employed a “user behavior optimization” approach to handle statistical data. Special factors pertaining to the autism community were also considered when setting parameters.

6.

CONCLUSION

The first phase of the experiment showed that the autism community has a preference for orange, yellow, and green among seven colors, but the research community was unable to distinguish colors of the same hue with different tones and saturations. They tend to choose yellow and green, the colors closest to the eye, cause a narrower field of view. The second phase of the experiment eliminated the interference from stereotypical behaviors and field of view issues present in the first phase, the results showing the highest preference for yellow within the autism group. The spatial color test results found that yellow remained the most frequently preferred color, indicating that yellow is the favorite color among the autism community. Differences in color preferences within the set immersive space were reflected in the duration of stay within color spaces. Furthermore, three rounds of experiments revealed that individuals with autism have a poor perception of color saturation and are unable to distinguish similar differences in colors. The findings of this study can also serve as a guide for color preferences in designs related to special communities. The importance of considering the special needs of individuals with autism when designing digital and physical environments is underscored. Understanding the preferences and responses of individuals with autism to specific visual stimuli can guide the creation of more inclusive and adaptive environments, thereby enhancing their engagement and experience. Considering these visual and perceptual factors may aid in developing more effective digital tools and environmental design strategies to better serve the autism community.

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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lingzi Tang, Muhan Guo, Kuan Zhang, and Younghwan Pan "A study based on user behavior models and visual immersion strategies: exploring the impact of color in digital spaces on the autism community (Withdrawal Notice)", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131762H (22 May 2024); https://doi.org/10.1117/12.3029335
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KEYWORDS
Color

Visualization

Design

Visual analytics

Color vision

Mathematical optimization

Data modeling

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