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Article

Methodology for Assessing Spatial Perception in Martial Arts

by
Vyacheslav Romanenko
1,
Wojciech J. Cynarski
2,
Yrui Tropin
1,
Yuliya Kovalenko
1,
Georgiy Korobeynikov
3,4,*,
Svitlana Piatysotska
1,
Volodymyr Mikhalskyi
1,
Valerii Holokha
1 and
Shukurjon Gaziyev
4
1
Kharkiv State Academy of Physical Culture, 61058 Kharkiv, Ukraine
2
Faculty of Physical Culture Sciences, University of Rzeszow, 35-310 Rzeszow, Poland
3
Department of Combat Sports, National University of Ukraine on Physical Education and Sport, 02000 Kyiv, Ukraine
4
Department of Theory and Methodology of International Types of Wrestling, Uzbek State University of Physical Education and Sports, Chirchik 100173, Uzbekistan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(6), 3413; https://doi.org/10.3390/app15063413
Submission received: 10 February 2025 / Revised: 18 March 2025 / Accepted: 19 March 2025 / Published: 20 March 2025
(This article belongs to the Special Issue Athletes Performance and Analysis in Combat Sports and Martial Arts: Second Edition)
Browse Figures
Versions Notes

Abstract

:
The study of the mechanisms underlying the perception of visual information, as well as the speed and adequacy of its processing, is of practical interest to martial artists. This study aims to develop and validate a methodology for assessing spatial perception in martial arts. It involved 57 participants practicing taekwondo, representing various age groups and skill levels (age: 18.6 years, SD = 3.52; qualifications: 8th Gup to 1st Dan). At the first stage of the research, the newly developed “Spatial Perception” application was preliminarily tested to determine its reliability and validity. In the second stage, the specific features of spatial perception among martial artists of different ages and qualifications were examined. The findings indicate that the rotation of objects provides additional information for object recognition, which reduces reaction time and the number of errors in response selection. The speed of processing dynamic visual cues reflects athletes’ psychophysiological capabilities, which are crucial during competitive bouts. Adult, qualified martial artists with relevant competitive experience possess a greater volume of visual images, which reduces the time of their spatial perception, thus confirming the hypothesis proposed in this study. Athletes at this level can maintain focus on objects and are less affected by distracting visual stimuli. The results obtained may assist martial arts coaches in improving the monitoring of athletes’ functional states and optimizing training processes.

1. Introduction

The study of psychophysiological parameters has garnered significant interest among scientists from numerous countries [1,2]. Experts indicate that psychophysiological traits are more predictable, genetically more conservative, and less dynamic in ontogenesis [3,4]. Assessing the psychophysiological functions of athletes provides critical information regarding their functional state. A thorough analysis of this information enables specialists to address tasks related to monitoring and adjusting the training process [5,6].
Psychophysiological parameters vary depending on the research focus, objectives, measurement methods, and the athletes’ qualifications and ages. It has been shown that the same respondent may exhibit different reaction times depending on the type of reaction measured [7,8,9]. Studies have demonstrated that athletes generally exhibit shorter reaction times compared to non-athletes in tasks involving perceptual–cognitive skills [10,11,12,13]. An increase in reaction time can be associated with the complexity of test tasks, which engage additional psychophysiological processes influencing decision-making speed [14,15,16]. It has been established that combat sports athletes are better at anticipating opponents’ actions based on information perceived before and during an attack [17,18].
Given the high speed and short duration of strikes in combat sports [19], the demands for reaction time increase. It is important to note that at the elite level of combat sports, the cognitive abilities required—such as memory, attention, perception, and information processing—become increasingly crucial. Competitive activities in combat sports demand athletes to rapidly evaluate situations, make complex decisions under time constraints, and respond promptly to stimuli and stressors [20,21]. Cognitive traits, including spatial perception, play a significant role in combat sports athletes. Individual typological characteristics shape an athlete’s unique combat style, which impacts competitive outcomes [22,23].
Spatial skills refer to the ability to create, remember, reproduce, and transform well-organized visual images. Spatial abilities are evaluated as both a component of intelligence and an area where specific talents are expressed. A significant correlation has been established between spatial abilities and academic performance in mathematics [24]. Recent research highlights the connection between spatial abilities and achievements in STEM fields (science, technology, engineering, and mathematics) [25,26].
When observing the environment, individuals may feel they are aware of everything, but in reality, they perceive very little. However, with eye movements, they can quickly access any visual information as needed. Observers acquire relevant information precisely when it is useful. Information unrelated to the current task is deemed unimportant and may fall outside the focus of attention [27,28]. Vision is not a passive registration of information. Visual perception is determined by two types of processes—those guided by visual information (light striking the retina) and those directed by attentional demands, which are dictated by task requirements [29].
Experimental studies suggest that space can be conceptualized in terms of three dimensions or planes—height (vertical), width (horizontal), and depth (sagittal). Humans do not perceive binocular space (separate visual worlds from each eye) but instead perceive a “cyclopean space”, where images merge to create a unified field of vision. Environmental information is perceived only to the extent that it relates to the individual’s goals, needs, or physiological state at the time [30].
Sporting activities in martial arts are closely related to the continuous analysis of various visual information. This information includes the opponent’s movements, the position of their hands or feet, and the actions of the referee and side judges, as well as information displayed on monitors near the competition area (e.g., electronic scoring in taekwondo) and more. The athlete’s rapid perception of visual information and the immediate determination of appropriate actions enable victory in combat sports. This generates interest in studying the mechanisms of visual information perception, as well as its processing speed and accuracy. Understanding these processes allows for the identification of key parameters for assessing spatial perception and the quality of visual information processing. This is crucial when predicting the sports performance of martial artists, determining their individual typological characteristics, and evaluating the condition of their functional systems. The study of spatial perception issues led to the hypothesis of this research, i.e., adult, qualified martial artists demonstrate shorter response times for perceiving and processing visual information due to higher cognitive flexibility and faster visuomotor response. It is expected that these indicators will vary depending on age and level of sports expertise. Therefore, the aim of this study was to develop and validate a methodology for assessing spatial perception in martial artists. This methodology should enable the assessment of the perception speed of various visual stimuli (static, dynamic, 2D, and 3D objects). Additionally, the test tasks must incorporate distracting visual stimuli.

2. Materials and Methods

2.1. Participants

The study involved 57 male ITF taekwondo athletes of various ages and skill levels (mean age: 18.6 years, SD = 3.52; qualification: 8th Gup to 1st Dan), who are members of the ITF Taekwondo Federation of Ukraine. All participants provided informed consent for their involvement in the study. They were briefed about the study’s objectives, testing procedures, and their right to withdraw at any time and for any reason. Parental consent was obtained for underage participants, and parents were present during the measurements. At the time of the study, all participants were in good health. The study adhered to the fundamental principles of bioethics, including the Council of Europe’s Convention on Human Rights and Biomedicine (4 April 1997), the World Medical Association’s Declaration of Helsinki on ethical principles for medical research involving human subjects (1964–2008), and the Ministry of Health of Ukraine’s Order No. 690 (23 September 2009). The ethical review of the study was conducted by the Biomedical Ethics Committee of the National University of Ukraine on Physical Education and Sport (dated 10 February 2025, protocol No. 2).

2.2. Procedure

The “Spatial Perception” application was installed on two 9th-generation iPad mobile devices with a 10.2 inch screen. Athletes individually completed the test exercise. The research was conducted in several stages. At the preliminary stage, twenty taekwondo athletes (mean age: 11.4 years, SD = 2.48; qualification: 6th–4th Gup) participated in the initial testing of the developed application to assess its reliability and validity. Two measurements were conducted three weeks apart. At the main stage, the study aimed to further validate the application and analyze spatial perception differences among athletes of varying ages and skill levels. Participants were divided into two groups—group 1–33 athletes (mean age: 11.5 years, SD = 2.02; qualification: 8th–3rd Gup) and group 2–24 athletes (mean age: 18.2 years, SD = 2.40; qualification: 2nd Gup–1st Dan). Before testing at each stage, a warm-up session was conducted using tennis balls to activate visual and motor coordination mechanisms. The warm-up included throwing and catching the ball from the floor, in pairs, and against a wall. Each exercise lasted 2 min.
A mobile application called “Spatial Perception” was developed for iOS devices using Swift 5 programming language and libraries such as UIKit, CoreData, AVFoundation, UniformTypeIdentifiers, and SceneKit. The visual stimuli (2D and 3D geometric shapes) were created using the 3D modeling software Blender (version 4.0.2). The application includes four stages of tasks requiring participants to compare geometric shapes. Stage 1—comparison of 2D shapes (e.g., square, rhombus, hexagon, circle, triangle). Each shape is randomly rotated before display. Stage 2—comparison of 3D shapes (e.g., cube, cylinder, sphere, hexagonal prism, octahedron). Shapes are displayed in random positions within a three-dimensional space (Figure 1). During the 3rd Stage, shapes begin rotating for 300 ms before stopping, after which the comparison task is performed. Stage 4—similar to Stage 3, but with additional distracting visual stimuli in the background (Figure 2). Participants responded by selecting the appropriate field: “Same” (green field) if the shapes were identical or “Different” (red field) if the shapes were different.

2.3. Sample of Variables

The mobile application includes settings that allow users to familiarize themselves with the geometric shapes presented in the test tasks, customize their textures, select the number of stages, and set the number of attempts. It allows for a determination of the speed of geometric shape recognition and provides the following measurement information for each stage: reaction time (mean, ms), standard deviation (SD, ms), error percentage (%), and duration of the test exercise (s). Selecting the “2D Shapes” option enables users to view the two-dimensional shapes included in the test. The “3D Shapes” option provides an interactive display of three-dimensional shapes, allowing rotation in any direction to give users a spatial understanding of these figures. The application also features a “Demo” mode, which offers a shortened version of the test exercise (5 attempts per stage). Additionally, users can choose the texture of the shapes from three available options, which can be configured in the application settings (Figure 3). Texture selection is tailored based on the age and athletic qualifications of the participants. The application allows users to specify the number of attempts per stage, ranging from 10 to 40. For the study’s test tasks across all stages, the “Color Abstraction” texture was selected, with 20 attempts per stage. The duration of a test exercise with 20 attempts per stage is approximately 2.5 min.
In the “Settings” section, users can manage measurement data using several options, as follows: “Save backup” to save a backup of the measurements in JSON format; “Add backup” to merge measurement data from another device running iPadOS; “Replace backup” to overwrite existing measurement data with new data; and “Delete all data” to erase all saved data.

2.4. Statistical Analysis

The mathematical and statistical analysis was conducted using the licensed program RStudio (version 2023.12.1+40). Descriptive statistics were presented as mean, standard deviation, 1st and 3rd quartiles, and median. To determine the statistical relationship between the first and second measurements in the first stage of the study, a non-parametric statistical method—the Spearman rank correlation coefficient (r)—was used. The strength of the correlation was interpreted as follows: 0.80–1.0: “Very strong”; 0.60–0.79: “Strong”; 0.40–0.59: “Moderate”; 0.20–0.39: “Weak”; and 0.00–0.19: “Very weak” [31].
The internal consistency of the measurements (test–retest reliability) was evaluated using Cronbach’s alpha coefficient. The metrics included Alpha (r)—unstandardized correlation; std. alpha (r)—standardized correlation; and average (r)—average correlation. The strength of consistency was categorized as follows: > 0.9: “Excellent”; 0.8–0.9: “Good”; 0.7–0.8: “Acceptable”; and <0.7: “Low” [32]. A Bland–Altman plot [33] was created to visualize the consistency analysis between the two measurements. To identify test–retest differences for paired comparisons of dependent sample results, the Wilcoxon signed-rank test was employed. For independent samples, the Mann–Whitney U test was used.
Statistical significance was set at a confidence level of p < 0.05.

3. Results

The results of the first and second measurements of the first stage of the study are presented in Table 1.
A comparison of the results from the first and second measurements indicates no statistically significant differences (p > 0.05) in reaction time across all test stages. A very strong correlation (r ≥ 0.80) was observed between the measurements for reaction time during the second and fourth stages of the test. A strong correlation (r ≥ 0.60) was noted for the first and third stages (Table 1).
To assess the internal consistency and reliability of the results between the first and second measurements, Cronbach’s alpha coefficient was calculated (Table 2), and a Bland–Altman plot was constructed (Figure 4).
A high α value of 0.96 was observed according to Cronbach’s alpha (Table 2). The analysis of the Bland–Altman plot (Figure 4) indicates that most of the values lie within the limits of agreement.
The results of the spatial perception assessment of martial artists in the second stage of the study are presented in Table 3 and Table 4.
As previously noted, each stage of the test differs in the complexity of the impact of visual stimuli. To determine this effect, a comparison of reaction times across the test stages was conducted (Table 5).
The analysis of the differences in reaction time between martial artists at different stages of the test shows a statistically significant correlation only between the first and second stages (p < 0.05).
Given that the athletes in the second group are older and have a higher qualification than those in the first group, a comparison of reaction time results between the two groups was conducted (Table 6).
The differences in reaction time between qualified martial artists and beginner martial artists across all stages of the test exercise are statistically significant (p < 0.05).
A correlation analysis of these relationships was conducted to determine the influence of the result shown at each stage of the test on the overall reaction time for the entire test (Figure 5).
The results of the analysis of the relationships between reaction times at each stage of the test and the overall reaction time indicate that the final result of qualified martial artists is least influenced by the outcome shown at the fourth stage of the test, where visual stimuli that interfere are present (Figure 5).

4. Discussion

This study aimed to develop and validate a method for assessing spatial perception in martial artists. Spatial perception refers to the ability to determine the position or direction of objects or points in space [34,35]. Various methods are available for assessing spatial perception, such as tasks where participants are asked to determine whether a rotated figure corresponds to a stimulus figure [36]. Similar computerized versions of such tasks have also been developed [37,38].
Visual characteristics of objects, such as color and shape, affect observers in different ways. Studies investigating the impact of visual information, specifically shape and color, on human attention have shown that figures with appealing or prominent attributes (e.g., bright colors and large sizes) tend to capture attention more effectively than those with less distinctive attributes. Colors can be effective in enhancing attention, while simple and clear shapes reduce cognitive load and improve object recognition speed [29,39].
The choice of simple 2D and 3D geometric shapes for the “Spatial Perception” application’s test tasks was motivated by the fact that these shapes possess distinctive, familiar features that allow for differentiation. The terrestrial environment consists of objects with clearly defined surfaces, textures, colors, and a variety of shapes. Given the properties of the everyday world, it can be assumed that humans develop similar visual systems, regardless of cultural context. Everyone probably sees in essentially the same way. Visualization represents a physical process that enables individuals, when detailed forms are not visible, to identify an object in three-dimensional space [29].
The first phase of the study focused on the validation of the developed application and the assessment of its reliability and measurement accuracy. According to recommendations [40], the second measurement of spatial perception in martial artists was conducted after three weeks (test–retest). A comparative analysis of the first and second measurements showed no statistically significant differences (p > 0.05) between them and a strong correlation across all stages of the test (r ≥ 0.70) (Table 1). The high Cronbach’s alpha score (α = 0.96) (Table 2) for the reaction time over the entire test and the distribution of values on the Bland–Altman plot (Figure 4) indicate that most of these values lie within the consistency range. Therefore, it can be concluded that the test for assessing spatial perception demonstrates sufficient reliability, which also suggests the possibility of reproducing test results over a set time.
Regarding the reliability and usability of the “Spatial Perception” application, the validation showed that athletes of varying ages and qualifications easily understand its working algorithm, and the “Demo test” mode allows users to practice the test task beforehand.
Determining the validity of any test is a complex process that requires the consideration of multiple factors. Kane [41] provides an overview of validity theory and argues that the focus of validation lies in the interpretation and use of test scores. The argument-based approach to validity can be simplified. The author believes that instead of requiring practitioners to provide complex reasoning, the validation process should be adapted to their needs and ensure the practical value of the test. Validity should be oriented toward practical benefit, not just formal justification. If test developers appropriately articulate the intended goals of test tasks, there is no need for an interpretative argument. Tests should be designed to accomplish one or more predetermined goals [42]. The test tasks in the “Spatial Perception” application for assessing spatial perception are clearly formulated, i.e., in Stage 1—“quickly recognize 2D shapes”; and in Stages 2–4—“quickly recognize 3D shapes.” Spatial abilities are essential for interpreting and understanding the geometric world [43]. Spatial skills include understanding the characteristics of two-dimensional and three-dimensional forms and recognizing the relationships between figures [44]. The test tasks provided in the “Spatial Perception” application indeed assess the ability to quickly recognize figures of different shapes in both two-dimensional and three-dimensional spaces, thus confirming the construct validity of the proposed methodology for evaluating spatial perception. It should be noted that the results of the spatial perception assessment for the group of younger athletes (mean age: 11.5 years, SD = 2.02; qualification: 8th–3rd Gup) specifically reflect the abilities of these athletes to recognize static and dynamic visual stimuli. The data obtained for this group can be used to predict the sports performance of martial artists. The results of adult athletes (mean age: 18.2 years, SD = 2.40; qualification: 2nd Gup–1st Dan), who possess high sports qualifications, reflect their spatial skills. This information will be crucial in determining the individual typological characteristics of martial artists, such as when improving their competitive fighting style.
The results of this study indicate that adult, qualified martial artists exhibit better spatial perception than unqualified athletes. This is related both to the age differences among the athletes studied and to their sports qualifications, which affect the level of visual–motor coordination. This suggests that the test exercise reflects differences in reaction speed and confirms that the provided methodology has criterion validity. Content validity is supported by the fact that the test exercise covers various aspects of spatial perception, specifically the reaction to 2D and 3D geometric shapes, the impact of dynamic changes in the position of shapes in space, and the reaction to distracting visual stimuli. These aspects reflect the key characteristics of spatial perception in conditions similar to those found in martial arts activities.
In the second phase of the study, the features of spatial perception in martial artists of different ages and qualifications were identified (Table 3 and Table 4). It is important to note that individuals employ different strategies for object recognition in space. In a study by Boucheix and Chevret [45], four main strategies were identified. The first two were categorized as imaginative strategies (mental rotation and perspective), while the other two were classified as analytical strategies. It was also noted that some participants may use a combination of strategies. Similarly, in martial arts, athletes use various strategies to recognize the movements of their opponents. Based on interviews with experienced athletes, it was observed that they typically focus on the center of the opponent’s chest and, through peripheral vision, detect changes in the position of the hands or legs. Peripheral vision plays a crucial role in martial arts [46]. Human perception requires more time to detect stimuli that are farther from the fixation point. The decline in peripheral vision function is explained by the physiological properties of the retina, as visual acuity rapidly decreases starting from 5° of the visual angle from the fixation point [47].
Research [1,2,48] has shown that athletes are not distinguished from non-athletes by visual function, but rather by visual “software,” meaning their ability to efficiently process and interpret visual information using various strategies acquired through practice. It was noted that during the test exercise presented by the application, more experienced martial artists focused on the center of the tablet screen. With this strategy, peripheral vision was sufficient to recognize simple shapes. However, when more complex visual stimuli were presented, athletes shifted their gaze to one of the shapes for more detailed recognition. Beginner martial artists, on the other hand, used a different strategy. They initially looked at one shape, then at another, and only after that, did they decide on their response. The choice of one or another object recognition strategy in space is determined by the athlete’s perception level and the speed at which visual information is processed. Similar results have been obtained previously [13].
The dynamics of reaction time changes in martial artists from the studied groups throughout the test show similar trends. The best reaction time was observed during the first stage of the test in both groups (reaction to 2D figures). This can be explained by the fact that recognizing simple two-dimensional shapes, which do not require additional cognitive effort, occurs faster than recognizing static 3D figures. In the second stage of the test, a deterioration in reaction time was observed in both groups (reaction to static 3D figures); this was statistically significant (p < 0.05) (Table 5). This can be explained by the fact that reacting to static 3D figures requires significant cognitive abilities, demanding more attention from the performer and the use of strategies to review each figure separately. In the third stage of the test, an improvement in reaction time was observed, but the differences were not statistically significant (p > 0.05) (Table 5). The reaction time at the third stage (rotation of 3D figures) was better than at the second stage (static 3D figures) in both groups. The rotation of 3D figures at this stage of the test provides visual information about the third dimension of three-dimensional space, namely depth, which provides additional information for recognition. The duration of rotation was chosen based on the duration of striking actions in martial artists, as studied by Vences Brito et al. [19]. When an object moves, the brain receives more information about its geometry, improving the ability to quickly identify it when it stops. The work carried out in [17] shows that dynamic cues enhance perceptual integration, leading to more accurate object perception. Our findings confirm this statement. The reduction in the number of errors also indicates improved object recognition at this stage. The effect of additional visual stimuli for the quick recognition of objects in three-dimensional space is also reflected in the sports duel, where it relates to the tactical informativeness of offensive or defensive actions. Any additional information regarding an opponent’s potential tactical actions is a foundation for effective counterattacks. This has been confirmed in previous research [49].
At the fourth stage of the test, there are discrepancies in the dynamics of reaction time changes between the studied groups. This stage is characterized by the introduction of distracting visual stimuli (Figure 2). Such stimuli create additional false signals. The intensity of these signals was experimentally determined and set in the mobile application at alpha = 0.3, which constitutes 30% of the original image. Increasing this parameter would impair object recognition capabilities, while decreasing it would improve them. The results of our study, specifically the reaction time at the fourth stage of the test, where the visual stimuli that interfere are present, show that more experienced martial artists, who have more competitive experience, are less affected by these visual stimuli. This is also supported by the correlation analysis between the results at each stage of the test and the overall reaction time (Figure 5). Therefore, the final result for qualified martial artists is least influenced by the outcome shown at the fourth stage of the test, where distracting visual stimuli are present (Figure 5). This statement is also corroborated by the findings of previous studies [16,18].
In martial arts, particularly during training or competitive bouts, situations arise where the athlete must instantly determine many parameters regarding the circumstances. During the match, a skilled athlete simultaneously processes a lot of visual information, such as the color of the floor (wrestling mat, ring, dojang, or tatami), the color of protective gear, the opponent’s position, and the positions of their individual body parts, among other things. All actions in the duel occur under the constant influence of distracting visual stimuli [50]. Naturally, athletes with more competitive experience possess a larger set of visual patterns and images, which can help form appropriate responses to situations that arise during the bout. According to the results of our research, the outcomes of qualified martial artists are statistically significantly (p < 0.05) better than those of beginner martial artists (Table 6).
The application allows users to select the texture under which the figures in the test will be presented. According to research [29,39] relating to color and shape perception, the mobile application “Spatial Perception” offers several textures for the test tasks. To increase the difficulty of the task, a complex, bright texture called “Color Abstraction” is available. This texture creates a high level of visual stimulation, which enhances attention and alertness. This figure presentation mode for assessing spatial perception is recommended for experienced athletes who are accustomed to intensive visual and physical loads. The “Chess Texture” provides moderate visual stimulation compared to the first, colorful texture. The presence of visual details helps maintain attention and stimulates the development of recognition skills under moderate distraction conditions. This mode can be recommended for athletes of medium qualification. The “Gray Wood” texture helps easily recognize shapes, being the most homogeneous and neutral, with minimal distracting details, and does not overload with visual information. This mode is recommended for beginner athletes.
Using mobile devices (smartphones or tablets) in combination with specialized software developed for assessing spatial perception enables the optimization of data collection and storage while enhancing the accuracy of measurement result processing. This is particularly crucial for the practical application of the obtained results in the training process, facilitating the prediction of combat athletes’ sports performance, the identification of their individual typological characteristics, and the assessment of their functional systems’ condition [51,52].

5. Conclusions

This study developed and tested the mobile application “Spatial Perception” for assessing spatial perception in martial artists and experimentally confirmed its reliability and validity. The study results indicate that the prior rotation of objects provides additional information for their recognition. This reduces reaction time and the number of errors in selecting responses. The speed with which the athlete processes dynamic cues reflects their psychophysiological abilities, which can be crucial in competitive bouts. Adult, qualified martial artists with relevant competitive experience possess a greater volume of visual images, which reduces the time of their spatial perception, thus confirming the hypothesis proposed in this study.

Author Contributions

Conceptualization, V.R.; Methodology, W.J.C., Y.K. and G.K.; Software, Y.K. and V.H.; Validation, V.M.; Formal analysis, W.J.C., Y.T., S.P. and S.G.; Investigation, G.K.; Resources, Y.K. and G.K.; Data curation, S.P. and V.H.; Writing—original draft, V.R., Y.T. and S.G.; Writing—review & editing, S.P.; Supervision, G.K.; Project administration, Y.T. and V.M.; Funding acquisition, S.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest. The authors state that no intellectual property rights or any other legal rights related to the “Spatial Perception” application have been violated at any stage of the study or in any part of the manuscript.

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Figure 1. Main interface of the “Spatial Perception” application.
Figure 1. Main interface of the “Spatial Perception” application.
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Figure 2. Test task of the fourth stage of the “Spatial Perception” application.
Figure 2. Test task of the fourth stage of the “Spatial Perception” application.
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Figure 3. Textures.
Figure 3. Textures.
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Figure 4. Assessment of reaction time consistency across the entire test for the first and second measurements.
Figure 4. Assessment of reaction time consistency across the entire test for the first and second measurements.
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Figure 5. Relationship between the results at each stage of the test and the overall reaction time for the entire test.
Figure 5. Relationship between the results at each stage of the test and the overall reaction time for the entire test.
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Table 1. Results of the first and second measurements of the first stage of the study (n = 20).
Table 1. Results of the first and second measurements of the first stage of the study (n = 20).
MeasurementWhole Test1st Stage2nd Stage3rd Stage4th Stage
1st measurement (ms)901.2 ± 157.9883.2 ± 190.8892.1 ± 210.0886.9 ± 147.0960.1 ± 155.8
2nd measurement (ms)898.7 ± 166.5876.5 ± 203.0901.9 ± 206.6877.9 ± 174.0938.6 ± 169.4
Wilcoxon testsV = 121
p = 0.571		V = 102
p = 0.925		V = 189
p = 0.779		V= 123
p = 0.522		V = 135
p = 0.277
Correlation (r-Spearman)0.870.730.800.750.82
Table 2. Assessment of consistency and reliability of measurement results (Cronbach’s alpha coefficient).
Table 2. Assessment of consistency and reliability of measurement results (Cronbach’s alpha coefficient).
StagesAlpha (r)Std. Alpha (r)Average (r)Mean (ms)SD (ms)
Stage 10.890.890.81871187
Stage 20.910.910.84897200
Stage 30.910.920.85882155
Stage 40.900.900.82949155
For the entire test0.960.960.92900159
Table 3. Results of the measurements of martial arts in the first group (n = 33).
Table 3. Results of the measurements of martial arts in the first group (n = 33).
CharacteristicsWhole Test1st Stage2nd Stage3rd Stage4th Stage
Mean (ms)908.0882.2916.0893.5940.2
SD (ms)149.4160.8183.0150.8173.9
1st Quarter (ms)782.8750.8794.8775.7828.0
Median (ms)875.6847.3853.1862.8925.1
3rd Quarter (ms)995.91002.91008.2994.71075.8
Errors (%)9.68.69.28.012.4
Table 4. Results of the measurements of martial arts in the second group (n = 24).
Table 4. Results of the measurements of martial arts in the second group (n = 24).
CharacteristicsWhole Test1st Stage2nd Stage3rd Stage4th Stage
Mean (ms)795.0747.9813.6802.5816.0
SD (ms)94.6123.0128.088.599.2
1st Quarter (ms)716.7672.8710.4724.5737.4
Median (ms)779.5711.4801.5792.2777.6
3rd Quarter (ms)877.0782.7910.4881.9909.1
Errors (%)4.73.86.54.04.8
Table 5. Differences in reaction time of martial arts across different test stages (Wilcoxon tests).
Table 5. Differences in reaction time of martial arts across different test stages (Wilcoxon tests).
StagesFirst Group (n = 33)Second Group (n = 24)
S1 and S2V = 168, p = 0.044V = 54, p = 0.005
S2 and S3V = 343, p = 0.271V = 173, p = 0.527
S3 and S4V = 175, p= 0.060V = 101, p = 0.169
Table 6. Differences in reaction time between martial arts of the studied groups.
Table 6. Differences in reaction time between martial arts of the studied groups.
StagesFirst Group (n = 33)Second Group (n = 24)Mann–Whitney Test
S1882.2 ± 160.8747.9 ± 123.0W = 604.5, p < 0.001
S2916.0 ± 183.0813.6 ± 128.0W = 519, p = 0.047
S3893.5 ± 150.8802.5 ± 88.5W = 542, p = 0.019
S4940.2 ± 173.9816.0 ± 99.2W = 572, p = 0.004
The whole test908.0 ± 149.4795.0 ± 94.6W = 580, p = 0.002
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MDPI and ACS Style

Romanenko, V.; Cynarski, W.J.; Tropin, Y.; Kovalenko, Y.; Korobeynikov, G.; Piatysotska, S.; Mikhalskyi, V.; Holokha, V.; Gaziyev, S. Methodology for Assessing Spatial Perception in Martial Arts. Appl. Sci. 2025, 15, 3413. https://doi.org/10.3390/app15063413

AMA Style

Romanenko V, Cynarski WJ, Tropin Y, Kovalenko Y, Korobeynikov G, Piatysotska S, Mikhalskyi V, Holokha V, Gaziyev S. Methodology for Assessing Spatial Perception in Martial Arts. Applied Sciences. 2025; 15(6):3413. https://doi.org/10.3390/app15063413

Chicago/Turabian Style

Romanenko, Vyacheslav, Wojciech J. Cynarski, Yrui Tropin, Yuliya Kovalenko, Georgiy Korobeynikov, Svitlana Piatysotska, Volodymyr Mikhalskyi, Valerii Holokha, and Shukurjon Gaziyev. 2025. "Methodology for Assessing Spatial Perception in Martial Arts" Applied Sciences 15, no. 6: 3413. https://doi.org/10.3390/app15063413

APA Style

Romanenko, V., Cynarski, W. J., Tropin, Y., Kovalenko, Y., Korobeynikov, G., Piatysotska, S., Mikhalskyi, V., Holokha, V., & Gaziyev, S. (2025). Methodology for Assessing Spatial Perception in Martial Arts. Applied Sciences, 15(6), 3413. https://doi.org/10.3390/app15063413

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