Visual work efficiency collection system based on virtual reality and collection method thereof

Abstract

The invention discloses a virtual reality-based visual work efficiency collection system and a collection method thereof, belongs to the technical field of building visual work efficiency, and particularly relates to a virtual reality-based sports building visual work efficiency collection system and a collection method thereof. The problems that a traditional light environment evaluation method often neglects the importance of subjective evaluation, subjective and objective feelings of a user cannot be comprehensively reflected, and the user experience is poor are solved. The system comprises a visual work efficiency data processing and analyzing module; and the visual work efficiency data processing and analyzing module is used for performing visual perception analysis on different variable parameters and visual work efficiency parameters in a light environment. The visual work efficiency collection system based on virtual reality and the collection method thereof are suitable for visual work efficiency data collection of a sports building scene and analysis of visual perception.

Description

Technical Field

[0001] The present invention relates to the technical field of building visual ergonomics, and in particular to a sports building visual ergonomics collection system based on virtual reality and a collection method thereof. Background Art

[0002] In the design of sports venues, the quality of natural lighting is restricted by many factors, including but not limited to the orientation of the venue, interface structure and form, lighting method, shape, position, size of the lighting opening, and the characteristics of indoor and outdoor materials. These factors are mainly determined based on the type and scale of the building in the early stage of architectural design. Although there are basic lighting specifications to control the lighting comfort of major competition venues, it still needs to be further optimized based on the emerging human factors evaluation standards. At the same time, these emerging evaluation systems also urgently need further systematic integration and comprehensive construction. Therefore, in-depth research on the human factors evaluation of major competition venues in sports buildings is of vital importance to promoting the sustainable development of sports buildings.

[0003] The evaluation of indoor light environment of sports buildings is currently mainly achieved through two methods: field measurement and performance simulation. Field measurement is mostly used to verify simulation results or evaluate the light environment performance of completed buildings, while performance simulation focuses on the restoration of objective indicators (i.e., evaluation based on the threshold of objective environmental data), but often ignores the importance of subjective evaluation, cannot fully reflect the subjective and objective feelings of users, and has poor user experience. Summary of the invention

[0004] The present invention proposes a visual ergonomics collection system based on virtual reality and a collection method thereof, which solves the problems that traditional light environment evaluation methods often ignore the importance of subjective evaluation, cannot fully reflect the subjective and objective feelings of users, and have poor user experience.

[0005] The present invention discloses a visual ergonomics collection system based on virtual reality, and its technical solution is as follows:

[0006] The system includes three modules: a virtual scene construction module, a visual ergonomics data acquisition module and a visual ergonomics data processing and analysis module.

[0007] The virtual scene construction module is used to perform parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; and is also used to change the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface;

[0008] The visual ergonomics data acquisition module is used to collect visual ergonomics data under different variable parameters and light environments; the visual ergonomics data includes subjective psychological data, objective physiological data and attention measurement task performance data;

[0009] The visual ergonomics data processing and analysis module is used to preprocess the collected visual ergonomics data; it is also used to perform visual perception analysis on visual ergonomics parameters under different variable parameters and light environments based on the preprocessed visual ergonomics data; it is also used to perform visual ergonomics evaluation with visual ergonomics evaluation factors based on the results of the visual perception analysis to obtain visual ergonomics evaluation results.

[0010] Further, a preferred embodiment is provided, wherein the different interface forms of the top interface are four different skylight forms added on the basis of retaining the X-shaped high side window form of the virtual building site three-dimensional model:

[0011] There are no new skylights, new point-shaped skylights, new strip skylights, and new circular skylights.

[0012] Further, a preferred embodiment is provided, wherein the different interface forms of the side interface include four typical working conditions;

[0013] The side window coverage ratios of the four typical working conditions are 0.0, 0.3, 0.7 and 1.0.

[0014] Further, a preferred embodiment is provided, wherein the objective physiological data includes skin conductance and heart rate;

[0015] The subjective psychological data includes comprehensive evaluation information of light environment, psychological perception information, Igroup existence information and virtual reality disease information;

[0016] The attention measurement task performance data includes visual search task data, continuous operation task data, cue switching task data, and spatial cueing task data.

[0017] Further, a preferred embodiment is provided, wherein the visual ergonomics data processing and analysis module includes a preprocessing submodule;

[0018] The preprocessing submodule is used to preprocess the collected visual ergonomics data;

[0019] The preprocessing submodule includes a basic preprocessing unit, a physiological data preprocessing unit and an attention preprocessing unit;

[0020] The basic pre-processing unit is used to perform time domain and frequency domain analysis, down sampling and pre-filtering on the visual ergonomics data;

[0021] The physiological data preprocessing unit is used to remove objective physiological data of response or broken signals;

[0022] The attention preprocessing unit is used to eliminate extreme values ​​whose reaction time exceeds three standard deviations in the attention measurement task performance data.

[0023] Further, a preferred embodiment is provided, wherein the visual ergonomics data processing and analysis module includes: a Scheirer-Ray-Hare test unit, a Kruskal-Wallis test unit, a Nemenyi test unit, a principal component analysis unit, and a correlation test unit;

[0024] The Scheirer-Ray-Hare test unit is used to evaluate the main effects of the two categorical factors, namely, the different forms of the top interface and the side interface, on visual perception and the interaction effect of the two factors using the Scheirer-Ray-Hare test method;

[0025] The Kruskal-Wallis test is used to evaluate simple effects using the Kruskal-Wallis test when there are interaction effects evaluated according to the Scheirer-Ray-Hare test;

[0026] The Nemenyi test unit is used to identify differences between the parameters of variables with main effects using the Nemenyi test method when evaluating the presence of main effects but no interaction effects according to the Scheirer-Ray-Hare test method;

[0027] The principal component analysis unit is used to condense information of different visual ergonomics evaluation factors using principal component analysis, determine the visual ergonomics comprehensive evaluation score, and obtain integrated data;

[0028] The correlation test unit is used to use the Spearman correlation coefficient to perform a correlation test on the principal component factor, the visual ergonomics comprehensive evaluation factor and the visual ergonomics original measured factor.

[0029] The present invention also proposes a method for collecting visual ergonomics based on virtual reality, and its technical solution is as follows:

[0030] The method comprises the following steps:

[0031] Step 1: performing parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; changing the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface;

[0032] Step 2: Collect visual ergonomics data under different variable parameters and light environments, wherein the visual ergonomics data includes subjective psychological data, objective physiological data, and attention measurement task performance data;

[0033] Step 3: Preprocess the collected visual ergonomics data; perform visual perception analysis on the visual ergonomics parameters under different variable parameters and their light environments based on the preprocessed visual ergonomics data; perform visual ergonomics evaluation with visual ergonomics evaluation factors based on the results of the visual perception analysis to obtain visual ergonomics evaluation results.

[0034] The present invention also proposes a computer device, and its technical solution is as follows:

[0035] A computer device includes: a processor and a memory, wherein the memory is used to store executable instructions of the processor, and the processor is configured to execute the above-mentioned method for collecting visual ergonomics based on virtual reality by executing the executable instructions.

[0036] The present invention also proposes a computer storage medium, and its technical solution is as follows:

[0037] A computer storage medium stores a computer program, and when the computer program is run, the above-mentioned method for collecting visual ergonomics based on virtual reality is executed.

[0038] The present invention also proposes a computer program product, and its technical solution is as follows:

[0039] A computer program product includes a computer program / instruction, which implements the steps of the above-mentioned method for collecting visual ergonomics based on virtual reality when executed by a processor.

[0040] The present invention has the following beneficial effects:

[0041] The virtual reality-based visual ergonomics collection system described in the present invention simulates the changes in different interface forms and natural light environments of sports buildings based on virtual reality technology, collects the subjective psychological data, objective physiological data and attention measurement task performance data of experimenters under virtual conditions, and then analyzes the impact of interface form on visual ergonomics, which can fully reflect the subjective and objective reactions of users, improve user experience, and provide an important basis for sports building interface design, so that architects can adjust interface form design parameters in time according to visual ergonomics results during the scheme design stage, achieve people-oriented healthy building design goals, and effectively improve the visual environment and visual safety of competition venues.

[0042] The virtual reality-based visual ergonomics collection system and collection method described in the present invention are suitable for collecting visual ergonomics data of sports building scenes and analyzing visual perception. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A flowchart of a method for collecting visual ergonomics based on virtual reality in one embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a process for collecting visual ergonomic data under different variable parameters and light environments in one embodiment of the present invention;

[0046] Figure 3 Schematic diagram of a virtual reality environment and the distribution of physiological sensor locations in one embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the technical solutions and advantages of the present invention more clearly described, the specific implementation methods of the present invention will be further described in detail and completely in conjunction with the accompanying drawings. The various implementation methods described below are only part of the preferred solutions of the present invention, rather than all implementation methods; the various implementation methods described below are intended to explain the present invention and cannot be understood as limitations on the present invention; the reasonable combination of technical features defined in the various implementation methods of the present invention, and all other implementation methods obtained by ordinary technicians in the field without creative work based on the implementation methods of the present invention, are within the scope of protection of the present invention.

[0048] One embodiment provides a visual ergonomics collection system based on virtual reality:

[0049] The system includes three modules: a virtual scene construction module, a visual ergonomics data acquisition module and a visual ergonomics data processing and analysis module.

[0050] The virtual scene construction module is used to perform parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; and is also used to change the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface;

[0051] The visual ergonomics data acquisition module is used to collect visual ergonomics data under different variable parameters and light environments; the visual ergonomics data includes subjective psychological data, objective physiological data and attention measurement task performance data;

[0052] The visual ergonomics data processing and analysis module is used to preprocess the collected visual ergonomics data; it is also used to perform visual perception analysis on visual ergonomics parameters under different variable parameters and light environments based on the preprocessed visual ergonomics data; it is also used to perform visual ergonomics evaluation with a visual ergonomics evaluation factor (VEA) based on the results of the visual perception analysis to obtain a visual ergonomics evaluation result.

[0053] In this embodiment, the system further includes a virtual display module;

[0054] The virtual display module is used to display the virtual building site three-dimensional model and the simulated different light environments as a virtual reality environment (scene) for experimenters (experiment participants) to roam.

[0055] In addition, in one embodiment, the virtual display module includes a CAVE (virtual reality) device;

[0056] The CAVE device displays virtual reality environments in different interface forms and light environments through a laser projector and a curved rear projection screen;

[0057] Five SONNOC SNP-LW6500 laser projectors and a curved rear-projection screen with a resolution of 1280x2840 pixels can be used to present the virtual reality environment.

[0058] The curved rear-projection screens can all be controlled by a computer equipped with an E5-2603 CPU and a GTX NVIDIAQuadro M4000.

[0059] The experimental site of the CAVE device also includes seats for experimenters (participants), a CAVE monitoring terminal and an attention task interface.

[0060] In this embodiment, the virtual scene construction module can use Rhino software to construct a three-dimensional model of a virtual building site.

[0061] In this embodiment, the three-dimensional model of the virtual building venue includes the geometric shape of the virtual building venue, including the building (sports) venue itself and key venue elements such as seats in the venue.

[0062] In this embodiment, the visual ergonomics data under different variable parameters and light environments are collected as follows:

[0063] Collect visual ergonomics data of experimenters (experimental participants) under different variable parameters and lighting environments.

[0064] In this embodiment, the visual ergonomics data acquisition module includes a subjective evaluation acquisition unit, a physiological data acquisition unit, and an attention measurement task efficiency acquisition unit.

[0065] In this embodiment, different interface morphologies of the top interface and the side interface, or different forms of the top interface and the side interface, correspond to different light environments.

[0066] In this implementation, the different (natural / natural) light environments refer to different natural light intensities and distribution forms.

[0067] In this embodiment, the system is used to evaluate the visual ergonomics of sports building competition venues during the architectural design stage to guide architects in selecting solutions.

[0068] In this implementation manner, the building site in the virtual building site three-dimensional model refers to the gymnasium building site, that is, the competition venue.

[0069] It should be noted that in terms of subjective evaluation tests, it is quite challenging to achieve quantitative control of the light environment for complex buildings. Therefore, in order to take into account both the accuracy and diversity of the evaluation, this embodiment uses virtual scenes to conduct experiments to achieve accurate restoration and control of complex light environments. In the virtual environment, researchers change the properties of the light environment by adjusting the morphology of the top and side interfaces, and then conduct in-depth research on people's subjective feelings, objective reactions and attention levels, collect visual ergonomics data, and conduct in-depth analysis of their perception and evaluation. This method provides an important scientific basis for the lighting design of sports buildings.

[0070] In this implementation manner, the visual ergonomics assessment factor is referred to as VEA in English.

[0071] It should be noted that the traditional light environment evaluation method is based on the threshold of objective environmental data for evaluation, for example, whether the brightness and illumination meet the standard requirements. The system described in this embodiment uses visual ergonomics (evaluation) factors as evaluation factors, and integrates subjective psychological data, objective physiological data, and standard paradigm (attention) task efficiency (performance) to evaluate the impact of the environment on user perception, integrating visual safety, work efficiency and visual comfort, and can evaluate with the user as the center, thus improving the user experience.

[0072] It should be noted that the visual ergonomics factor is a comprehensive evaluation index that involves the intersection of multiple fields such as light environment, human visual system, neuroscience, psychology and engineering, and its application is relatively complex.

[0073] The indoor light environment affects the user's physiological, psychological and cognitive attention levels, and there is mutual regulation between the three and the environment, forming a complex cognitive triangle. Under the stimulation of stressor signals, the user's stress response is also accompanied, which ultimately affects visual ergonomics.

[0074] In short, the overall impact of the light environment on users can be comprehensively reflected through evaluation based on visual ergonomic factors, but there is a lack of relevant research in this field.

[0075] In addition, in one embodiment, the different interface forms of the top interface are four different skylight forms added on the basis of retaining the X-shaped high side window form of the virtual building site three-dimensional model:

[0076] There are no new skylights (SL1), new dot-shaped skylights (SL2), new strip-shaped skylights (SL3) and new circular skylights (SL4).

[0077] In addition, in one embodiment, the different interface forms of the side interface include four typical working conditions;

[0078] The side window coverage ratios of the four typical working conditions are 0.0 (SFCR1), 0.3 (SFCR2), 0.7 (SFCR3) and 1.0 (SFCR4).

[0079] In this embodiment, the top interface and the side interface are each divided into four typical interface forms. By combining the different forms of the top interface and the side interface, an orthogonal working condition matrix containing 16 working conditions is constructed, and each working condition corresponds to a different natural light environment of the competition venue. The orthogonal working condition matrix provides a comprehensive and systematic analysis framework for realizing the visualization of the stadium light environment based on interface control.

[0080] In addition, in one embodiment:

[0081] The objective physiological data include skin conductance and heart rate;

[0082] The subjective psychological data includes comprehensive evaluation information of light environment, psychological perception information, Igroup existence information and virtual reality disease information;

[0083] The attention measurement task performance data includes visual search task data, continuous operation task data, cue switching task data, and spatial cueing task data.

[0084] In this embodiment, skin conductance (EDA) and heart rate variability (HRV) sensors are installed on the fingers and earlobes of the experimenter respectively to collect real-time skin conductance and heart rate of the human body to obtain vital signs data (i.e., objective physiological data).

[0085] After the experiments (data collection) of all working conditions were completed, the physiological sensors (skin conductance, skin conductance sensor) were removed.

[0086] In this implementation, in each working condition, after the experimenter completes roaming in the virtual reality environment, a subjective questionnaire is used to collect subjective psychological data.

[0087] The subjective questionnaires included a comprehensive evaluation questionnaire on light environment, a psychological perception questionnaire, an Igroup presence questionnaire (IPQ), and a virtual reality sickness questionnaire (VRSQ).

[0088] In this embodiment, attention measurement task performance data is collected by performing an attention test in the E-Prime program.

[0089] In this embodiment, before collecting physiological (reaction) data, the experimenter is asked to close his eyes and sit quietly in the experimental field of the CAVE device for three minutes. During this period, the experimenter's baseline data is measured to compare with the collected objective physiological data to eliminate unreasonable data.

[0090] In this embodiment, before conducting the attention test and collecting the attention measurement task performance data, the experimenter can first complete a ten-minute attention task training on the computer to ensure that the participant's response accuracy reaches more than 90% and avoid experience differences. The computer used for training can be equipped with an i7-9750H CPU and an NVIDIA GeForceGTX1660Ti.

[0091] In this embodiment, during the data collection process of attention measurement task performance data and subjective psychological data, the objective physiological data of the experimenter is recorded throughout the process, and the experimenter is required to place his hands on the table to minimize the impact of hand movement on the objective physiological data.

[0092] In addition, in one embodiment, the visual ergonomics data processing and analysis module includes a preprocessing submodule;

[0093] The preprocessing submodule is used to preprocess the collected visual ergonomics data;

[0094] The preprocessing submodule includes a basic preprocessing unit, a physiological data preprocessing unit and an attention preprocessing unit; the basic preprocessing unit is used to perform time domain and frequency domain analysis, down sampling and filtering on the visual ergonomics data; the physiological data preprocessing unit is used to eliminate objective physiological data of response or broken signals;

[0095] The attention preprocessing unit is used to eliminate extreme values ​​whose reaction time exceeds three standard deviations in the attention measurement task performance data.

[0096] In this embodiment, the basic preprocessing unit can perform basic data preprocessing based on the Ergo Lab platform, including time domain and frequency domain analysis, downsampling and pre-filtering, so as to improve data quality and analysis efficiency, and ensure accurate extraction of key physiological features to evaluate visual ergonomics.

[0097] In this embodiment, the (original) objective physiological data of responses or broken signals can be eliminated through image recognition and visual inspection.

[0098] In this embodiment, if an objective physiological data item is abnormal (response or broken signal), another data item associated with it (attention measurement task performance data, subjective psychological data) is also eliminated.

[0099] In addition, in one embodiment, the visual ergonomics data processing and analysis module includes: a Scheirer-Ray-Hare test unit, a Kruskal-Wallis test unit, a Nemenyi test unit, a principal component analysis unit, and a correlation test unit;

[0100] The Scheirer-Ray-Hare test unit is used to evaluate the main effects of the two categorical factors, namely, the different forms of the top interface and the side interface, on visual perception and the interaction effect of the two factors using the Scheirer-Ray-Hare test method;

[0101] The Kruskal-Wallis test is used to evaluate simple effects using the Kruskal-Wallis test when there are interaction effects evaluated according to the Scheirer-Ray-Hare test;

[0102] The Nemenyi test unit is used to identify differences between the parameters of variables with main effects using the Nemenyi test method when evaluating the presence of main effects but no interaction effects according to the Scheirer-Ray-Hare test method;

[0103] The principal component analysis unit is used to condense information of different visual ergonomics evaluation factors using principal component analysis (PCA), determine the visual ergonomics comprehensive evaluation score, and obtain integrated data;

[0104] The correlation test unit is used to use the Spearman correlation coefficient to perform a correlation test on the principal component factor, the visual ergonomics comprehensive evaluation factor and the visual ergonomics original measured factor.

[0105] In this implementation, a correlation test is performed between the principal component factors, the comprehensive evaluation factors of visual ergonomics and the original measured factors of visual ergonomics, in order to verify the effectiveness of the PCA analysis and reveal the specific relationship between the principal component factors and visual ergonomics, thereby ensuring that the extracted principal components can accurately reflect the key information in the original data and provide strong support for subsequent analysis and prediction.

[0106] One implementation method provides a method for collecting visual ergonomics based on virtual reality:

[0107] The method comprises the following steps:

[0108] Step 1: performing parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; changing the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface;

[0109] Step 2: Collect visual ergonomics data under different variable parameters and light environments, wherein the visual ergonomics data includes subjective psychological data, objective physiological data, and attention measurement task performance data;

[0110] Step 3: Preprocess the collected visual ergonomics data; perform visual perception analysis on the visual ergonomics parameters under different variable parameters and their light environments based on the preprocessed visual ergonomics data; perform visual ergonomics evaluation with visual ergonomics evaluation factors based on the results of the visual perception analysis to obtain visual ergonomics evaluation results.

[0111] In this embodiment, the method is implemented using the system in the above embodiment.

[0112] The technical solution provided by the present invention is further described in detail above through several specific implementation modes in order to highlight the advantages and benefits of the technical solution provided by the present invention. However, the several specific implementation modes described above are not intended to be used as limitations on the present invention. Any reasonable changes and improvements to the present invention, reasonable combinations of implementation modes and equivalent substitutions based on the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A visual ergonomics collection system based on virtual reality, characterized in that: The system includes three modules: a virtual scene construction module, a visual ergonomics data acquisition module and a visual ergonomics data processing and analysis module. The virtual scene construction module is used to perform parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; and is also used to change the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface; The visual ergonomics data acquisition module is used to collect visual ergonomics data under different variable parameters and light environments; the visual ergonomics data includes subjective psychological data, objective physiological data and attention measurement task performance data; The visual ergonomics data processing and analysis module is used to preprocess the collected visual ergonomics data; it is also used to perform visual perception analysis on visual ergonomics parameters under different variable parameters and light environments based on the preprocessed visual ergonomics data; it is also used to perform visual ergonomics evaluation with visual ergonomics evaluation factors based on the results of the visual perception analysis to obtain visual ergonomics evaluation results.

2. The virtual reality-based visual ergonomics collection system according to claim 1, characterized in that: The different interface forms of the top interface are four different skylight forms added on the basis of retaining the X-shaped high side window form of the virtual building site three-dimensional model: There are no new skylights, new point-shaped skylights, new strip skylights, and new circular skylights.

3. The virtual reality-based visual ergonomics collection system according to claim 1, characterized in that: The different interface forms of the side interface include four typical working conditions; The side window coverage ratios of the four typical working conditions are 0.0, 0.3, 0.7 and 1.

0.

4. The virtual reality-based visual ergonomics collection system according to claim 1, characterized in that: The objective physiological data include skin conductance and heart rate; The subjective psychological data includes comprehensive evaluation information of light environment, psychological perception information, Igroup existence information and virtual reality disease information; The attention measurement task performance data includes visual search task data, continuous operation task data, cue switching task data, and spatial cueing task data.

5. The virtual reality-based visual ergonomics collection system according to claim 1, characterized in that: The visual ergonomics data processing and analysis module includes a preprocessing submodule; The preprocessing submodule is used to preprocess the collected visual ergonomics data; The preprocessing submodule includes a basic preprocessing unit, a physiological data preprocessing unit and an attention preprocessing unit; The basic pre-processing unit is used to perform time domain and frequency domain analysis, down sampling and pre-filtering on the visual ergonomics data; The physiological data preprocessing unit is used to remove objective physiological data of response or broken signals; The attention preprocessing unit is used to eliminate extreme values ​​whose reaction time exceeds three standard deviations in the attention measurement task performance data.

6. The virtual reality-based visual ergonomics collection system according to claim 1, characterized in that: The visual ergonomics data processing and analysis module includes: a Scheirer-Ray-Hare test unit, a Kruskal-Wallis test unit, a Nemenyi test unit, a principal component analysis unit and a correlation test unit; The Scheirer-Ray-Hare test unit is used to evaluate the main effects of the two categorical factors, namely, the different forms of the top interface and the side interface, on visual perception and the interaction effect of the two factors using the Scheirer-Ray-Hare test method; The Kruskal-Wallis test is used to evaluate simple effects using the Kruskal-Wallis test when there are interaction effects evaluated according to the Scheirer-Ray-Hare test; The Nemenyi test unit is used to identify differences between the parameters of variables with main effects using the Nemenyi test method when evaluating the presence of main effects but no interaction effects according to the Scheirer-Ray-Hare test method; The principal component analysis unit is used to condense information of different visual ergonomics evaluation factors using principal component analysis, determine the visual ergonomics comprehensive evaluation score, and obtain integrated data; The correlation test unit is used to use the Spearman correlation coefficient to perform a correlation test on the principal component factor, the visual ergonomics comprehensive evaluation factor and the visual ergonomics original measured factor.

7. A method for collecting visual ergonomics based on virtual reality, characterized in that: The method comprises the following steps: Step 1: performing parametric modeling to obtain a three-dimensional model of a virtual building site, wherein the three-dimensional model of the virtual building site includes fixed parameters and variable parameters; changing the variable parameters of the three-dimensional model of the virtual building site to simulate different light environments; the variable parameters are different interface forms of the top interface and the side interface; Step 2: Collect visual ergonomics data under different variable parameters and light environments, wherein the visual ergonomics data includes subjective psychological data, objective physiological data, and attention measurement task performance data; Step 3: Preprocess the collected visual ergonomics data; perform visual perception analysis on the visual ergonomics parameters under different variable parameters and their light environments based on the preprocessed visual ergonomics data; perform visual ergonomics evaluation with visual ergonomics evaluation factors based on the results of the visual perception analysis to obtain visual ergonomics evaluation results.

8. A computer device comprising: A processor and a memory, wherein the memory is used to store executable instructions of the processor, and the processor is configured to execute the virtual reality-based visual ergonomics collection method of claim 7 by executing the executable instructions.

9. A computer storage medium, characterized in that The storage medium stores a computer program, and when the computer program is run, the method for collecting visual ergonomics based on virtual reality described in claim 7 is executed.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method for collecting visual ergonomics based on virtual reality described in claim 7 are implemented.

Images