Method, device and apparatus for assessing the impact of vertical greening on mood of a building

Abstract

The application provides a method, device and equipment for evaluating the influence of three-dimensional greening of a building on emotion, and belongs to the technical field of data processing under the internet industry, and comprises the following steps: obtaining a target building model, the target building model corresponding to a three-dimensional greening scheme; obtaining a first psychological scale score before each subject watches the target building model, an eye movement parameter when the subject watches the target building model, and a second psychological scale score after the subject watches the target building model; obtaining an emotion change value according to the first psychological scale score and the second psychological scale score; and generating a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameter and the emotion change value. The comprehensiveness and result reliability of the evaluation of the influence of the three-dimensional greening scheme of the building on emotion can be improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of data processing, and particularly relates to a method, device and equipment for evaluating the influence of three-dimensional greening of a building on emotions. BACKGROUND

[0002] In the field of building design, building three-dimensional greening, as an important means to improve the living environment and enhance the quality of space, its influence on the emotional state of users has gradually become a key basis for design optimization. However, the current evaluation technology for the emotional influence of building three-dimensional greening still has obvious deficiencies.

[0003] Most existing evaluation methods rely on single-dimensional data collection and analysis, or only collect user feelings through subjective evaluation questionnaires, or only make judgments based on simple physiological indicators, lacking systematic combination of objective data related to visual perception and emotional changes, resulting in one-sided evaluation dimensions. At the same time, the emotional state difference before and after the intervention of the greening scheme cannot be accurately captured in the evaluation process, making it difficult to establish an effective correlation between visual observation features and emotional responses, resulting in insufficient objectivity of the evaluation results. In addition, most evaluation results are mainly qualitative descriptions, lacking unified and scientific quantitative evaluation standards, and the emotional influence effect of different three-dimensional greening schemes cannot be accurately compared horizontally. The credibility and reference value of the evaluation results are limited, and it is difficult to directly provide clear and feasible guidance for the optimization of building three-dimensional greening engineering design schemes, restricting the efficient application of three-dimensional greening technology in building engineering. SUMMARY

[0004] The application provides a method, device and equipment for evaluating the influence of three-dimensional greening of a building on emotions, to improve the comprehensiveness and result credibility of the evaluation of the emotional influence of building three-dimensional greening schemes.

[0005] The application provides a method for evaluating the influence of three-dimensional greening of a building on emotions, comprising:

[0006] obtaining a target building model corresponding to a three-dimensional greening scheme;

[0007] obtaining a first psychological scale score before each subject watches the target building model, an eye movement parameter when the subject watches the target building model, and a second psychological scale score after the subject watches the target building model, respectively;

[0008] obtaining an emotional change value according to the first psychological scale score and the second psychological scale score;

[0009] generating a quantitative score of the influence of the three-dimensional greening scheme on emotions according to the eye movement parameter and the emotional change value.

[0010] According to the method for evaluating the influence of the three-dimensional greening of a building on emotions provided in the present application, before the emotion change value is obtained according to the first psychological scale score and the second psychological scale score, the method further comprises: obtaining the score of each emotional category in the second psychological scale score of each subject; obtaining the average value of the scores of each emotional category in the second psychological scale score of all subjects; determining a plurality of eye movement feature values according to the eye movement parameters; determining the Pearson correlation coefficient between each emotional category and each eye movement feature value according to the score of each emotional category of each subject, the average value of the scores of each emotional category, and each eye movement feature value of each subject; and determining at least one target emotional category and at least one target eye movement feature value according to the Pearson correlation coefficient, the at least one target emotional category having a correlation relationship with the at least one target eye movement feature value.

[0011] According to the method for evaluating the influence of the three-dimensional greening of a building on emotions provided in the present application, the emotion change value is obtained according to the first psychological scale score and the second psychological scale score, which comprises: dividing the at least one target emotional category into a positive emotional type and a negative emotional type; obtaining a first emotional score sum of the positive emotional type and a second emotional score sum of the negative emotional type according to the first psychological scale score; obtaining a first emotional chaos total score according to the first emotional score sum and the second emotional score sum; obtaining a third emotional score sum of the positive emotional type and a fourth emotional score sum of the negative emotional type according to the second psychological scale score; obtaining a second emotional chaos total score according to the third emotional score sum and the fourth emotional score sum; and obtaining the emotion change value according to the first emotional chaos total score and the second emotional chaos total score.

[0012] According to the method for evaluating the influence of the three-dimensional greening of a building on emotions provided in the present application, the quantitative score of the influence of the three-dimensional greening scheme on emotions is generated according to the eye movement parameters and the emotion change value, which comprises: obtaining the visual appeal of the three-dimensional greening scheme according to the eye movement parameters; determining the emotional improvement degree of the three-dimensional greening scheme according to the emotion change value; obtaining the feeling evaluation data of each subject after viewing the target building model; determining the adaptability of the three-dimensional greening scheme according to the feeling evaluation data; and generating the quantitative score of the influence on emotions according to the visual appeal, the emotional improvement degree, and the adaptability.

[0013] According to the method for evaluating the influence of the three-dimensional greening of a building on emotion provided in the application, the visual attraction of the three-dimensional greening scheme is obtained according to the eye movement parameters, which comprises: obtaining the gaze point trajectory of each subject when the subject watches the target building model; obtaining the average gaze duration, pupil diameter and first gaze duration of each subject in each region of the target building model; and obtaining the visual attraction of the three-dimensional greening scheme according to the gaze point trajectory, the average gaze duration, the pupil diameter and the first gaze duration.

[0014] According to the method for evaluating the influence of the three-dimensional greening of a building on emotion provided in the application, the method further comprises: obtaining a quantitative score of the influence of a plurality of three-dimensional greening schemes on emotion; obtaining a relative cost and an implementation feasibility score of each three-dimensional greening scheme in the plurality of three-dimensional greening schemes; and evaluating each three-dimensional greening scheme according to the quantitative score, the relative cost and the implementation feasibility score.

[0015] According to the method for evaluating the influence of the three-dimensional greening of a building on emotion provided in the application, the evaluation of each three-dimensional greening scheme according to the quantitative score, the relative cost and the implementation feasibility score comprises: obtaining the highest quantitative score in the quantitative scores of the influence of the plurality of three-dimensional greening schemes on emotion; obtaining a score ratio of the quantitative score of each three-dimensional greening scheme to the highest quantitative score; normalizing the relative cost to obtain a target relative cost; obtaining a weight value of the quantitative score, the relative cost and the implementation feasibility score, respectively; and evaluating each three-dimensional greening scheme according to the weight value, the score ratio, the target relative cost and the implementation feasibility score.

[0016] The application further provides a device for evaluating the influence of the three-dimensional greening of a building on emotion, which comprises:

[0017] a first obtaining unit, configured to obtain a target building model, the target building model corresponding to a three-dimensional greening scheme;

[0018] a second obtaining unit, configured to respectively obtain a first psychological scale score before each subject watches the target building model, eye movement parameters when the subject watches the target building model, and a second psychological scale score after the subject watches the target building model;

[0019] a third obtaining unit, configured to obtain an emotion change value according to the first psychological scale score and the second psychological scale score;

[0020] a scoring unit, configured to generate a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameters and the emotion change value.

[0021] The application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the method for evaluating the influence of the three-dimensional greening of a building on emotion when executing the computer program.

[0022] The application further provides a non-transitory computer-readable storage medium, which stores a computer program, and the computer program implements the method for evaluating the influence of the three-dimensional greening of a building on emotion when executed by a processor.

[0023] The application further provides a computer program product, which includes a computer program, and the computer program implements the method for evaluating the influence of the three-dimensional greening of a building on emotion when executed by a processor.

[0024] According to the method, device and equipment for evaluating the influence of the three-dimensional greening of a building on emotion, the electronic device first acquires a target building model, the target building model corresponding to a three-dimensional greening scheme, then acquires a first psychological scale score before each subject watches the target building model, an eye movement parameter when the subject watches the target building model, and a second psychological scale score after the subject watches the target building model, then acquires an emotion change value according to the first psychological scale score and the second psychological scale score, and finally generates a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameter and the emotion change value. By combining the psychological scale scores before and after the subject watches the target building model to acquire the emotion change value, and comprehensively analyzing the eye movement parameter in the watching process to generate the quantitative score, the objectivity, comprehensiveness and result reliability of the evaluation of the influence of the three-dimensional greening scheme of the building on emotion can be improved, and accurate guidance can be provided for engineering design optimization. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present application or prior art, the following will briefly introduce the drawings needed in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0026] Figure 1 is a flowchart of a method for evaluating the influence of the three-dimensional greening of a building on emotion provided by the present application.

[0027] Figure 2 is an intention of representing a mental state provided by the present application.

[0028] Figure 3 is a building model region division schematic diagram provided by the present application.

[0029] Figure 4 is a schematic diagram of a building model provided by the present application.

[0030] Figure 5 is a schematic diagram of a change in mood of a subject provided by the present application.

[0031] Figure 6 is a statistical chart of eye movement features provided by the present application.

[0032] Figure 7 is a radar chart of a feeling evaluation provided by the present application.

[0033] Figure 8 is a functional unit composition block diagram of a device for evaluating the effect of vertical greening of a building on mood provided by the present application.

[0034] Figure 9 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0035] In order to make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0036] The terms “first”, “second”, and the like in the specification of the present application and the above-described drawings are used to distinguish different objects, rather than to describe a particular order. In addition, the terms “include” and “have” and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or device.

[0037] Reference to “an embodiment” in this text means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that embodiments described herein can be combined with other embodiments.

[0038] The existing evaluation method for the emotional influence of building vertical greening mainly depends on single-dimensional data collection and analysis, or only collects user feelings through subjective evaluation questionnaires, or only makes judgments based on simple physiological indicators, lacks systematic combination of objective data related to visual perception and emotional changes, and leads to one-sided evaluation dimensions.

[0039] To solve the above problems, the present application provides a method, device and equipment for evaluating the emotional influence of building vertical greening. The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0040] Please refer to Figure 1 , Figure 1 is a flowchart of a method for evaluating the emotional influence of building vertical greening provided by the present application. The method for evaluating the emotional influence of building vertical greening includes the following steps.

[0041] S101, obtaining a target building model.

[0042] The target building model corresponds to a vertical greening scheme. The vertical greening scheme refers to a greening design and implementation scheme for the building facade, such as the wall surface and the exterior facade, which is different from the traditional ground greening. It is a building appearance design scheme that combines ecological benefits, visual effects and emotional regulation by integrating greening elements and related functional modules on the building facade. Different vertical greening schemes can include different layout forms, such as horizontally arranged and regularly distributed greening configurations; different functional combination modes, such as composite schemes integrating photovoltaic panels and greening plants.

[0043] S102, respectively obtaining a first psychological scale score before each subject watches the target building model, an eye movement parameter when watching the target building model, and a second psychological scale score after watching the target building model.

[0044] The first psychological scale score and the second psychological scale score can be obtained by a mood state table, which includes a plurality of questions, each question corresponds to an emotional category, and an emotional category can be indicated by a plurality of questions. For example, the mood state table is as follows Figure 2The mood state table includes the subject number, age, name, and gender, and includes instructions for the subject to fill in the mood state table. The mood state table includes a plurality of questions reflecting the current emotion of the user, such as including "tense, angry, not spirited, unhappy, happy, panic, embarrassed, irritable, furious, tired, sad, energetic, unable to concentrate, confident, restless, angry, exhausted, sad, positive, panic, fidgety, tired, " and the like. At the same time, a plurality of emotion categories are included, such as "tension, anger, fatigue, depression, energy, panic, and self-related emotions", and each emotion category can be indicated by a plurality of questions.

[0045] That is, the subject can fill in the mood state table once before watching the target building model, and obtain a first psychological scale score. Then fill in the mood state table again after watching the target building model, and obtain a second psychological scale score. That is, the first psychological scale score corresponds to the initial emotional data of the subject before watching the target building model, and the second psychological scale score corresponds to the emotional data after watching. Both of them contain negative emotional dimension scores such as tension and anger, and positive emotional dimension scores such as energy and self-related emotions, i.e. self-esteem, which can comprehensively capture the emotional state difference of the subject before and after the intervention of the three-dimensional greening scheme.

[0046] The first psychological scale data and the second psychological scale data collected can be entered and checked respectively to ensure the accuracy and integrity of the data, and then the raw scores of each subscale are summarized to obtain the corresponding psychological scale score through norm conversion.

[0047] In a specific implementation, when the subject watches the target building model, the subject can watch the target building model on the display device by wearing an eye tracker.

[0048] S103, obtaining an emotional change value according to the first psychological scale score and the second psychological scale score.

[0049] S104, generating a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameter and the emotional change value.

[0050] It can be seen that in the embodiment, the emotional change value is obtained by combining the psychological scale scores before and after the subject watches the target building model, and the eye movement parameter in the watching process is comprehensively analyzed to generate a quantitative score, which can improve the objectivity, comprehensiveness and result reliability of the emotional influence evaluation of the building three-dimensional greening scheme, and provide accurate guidance for engineering design optimization.

[0051] In a possible embodiment, before the acquiring of the emotion change value according to the first psychological scale score and the second psychological scale score, the method further comprises: acquiring a score of each emotion category of each subject in the second psychological scale score; acquiring an average value of the scores of each emotion category of all subjects in the second psychological scale score; determining a plurality of eye movement feature values according to the eye movement parameters; determining a Pearson correlation coefficient of each emotion category and each eye movement feature value according to the scores of each emotion category of each subject, the average value of the scores of each emotion category, and each eye movement feature value of each subject; and determining at least one target emotion category and at least one target eye movement feature value according to the Pearson correlation coefficient, the at least one target emotion category having a correlation relationship with the at least one target eye movement feature value.

[0052] The emotion categories can include tension, anger, fatigue, depression, energy, panic, and self-esteem, and the like. The eye movement parameters can include a gaze point trajectory, an average gaze duration, an average pupil diameter, a first gaze duration, a gaze ratio, and the like. The corresponding eye movement feature values can be quantitative data extracted based on the parameters, such as a concentration degree index of the gaze point trajectory, a first gaze duration value of a specific region, and the like. The eye movement feature values can be obtained by processing through eye movement tracking software.

[0053] Next, the correlation between each emotion category and each eye movement feature value can be calculated by using a Pearson correlation coefficient formula. In the calculation process, data analysis can be performed by using SPSS 22.0 software to improve the calculation efficiency and the result reliability. Before the calculation, the eye movement feature values and the emotion category scores of all subjects can be standardized. The correlation between the eye movement feature and the emotion category can be calculated by using the following formula:

[0054]

[0055] wherein, is a Pearson correlation coefficient r corresponding to an eye movement feature X (for example, an average pupil diameter) and an emotion category score Y (for example, a score of a tension emotion). N is the number of subjects, X i is an eye movement feature value of the i th subject, Y i is an emotion category score Y of the i th subject, is an average value of the eye movement features of all subjects, is an average value of the emotion category scores of all subjects.

[0056] Through correlation analysis, potential correlations between different emotion categories and eye movement characteristic values can be found, for example, it can be found that the fatigue emotion category is negatively correlated with the average pupil diameter (r=-0.382, p<0.15), etc. These correlation results are consistent with the physiological mechanism and actual experience of emotion processing.

[0057] Finally, at least one target emotion category and at least one target eye movement characteristic value can be determined according to the absolute value of the Pearson correlation coefficient and a preset significance level (such as p<0.01 or p<0.05), for example, an emotion category with a correlation coefficient absolute value greater than a preset threshold and passing a significance test is determined as a target emotion category, and the corresponding eye movement characteristic value is determined as a target eye movement characteristic value, so that the subsequent emotion change value calculation and evaluation process can focus on the core indicators that are truly correlated, effectively exclude the interference of irrelevant variables, and make the evaluation results more scientific and valuable.

[0058] In one possible embodiment, the obtaining of the emotion change value according to the first psychological scale score and the second psychological scale score comprises: dividing the at least one target emotion category into a positive emotion type and a negative emotion type; obtaining a first emotion score sum of the positive emotion type and a second emotion score sum of the negative emotion type according to the first psychological scale score; obtaining a first emotion total disturbance score according to the first emotion score sum and the second emotion score sum; obtaining a third emotion score sum of the positive emotion type and a fourth emotion score sum of the negative emotion type according to the second psychological scale score; obtaining a second emotion total disturbance score according to the third emotion score sum and the fourth emotion score sum; and obtaining the emotion change value according to the first emotion total disturbance score and the second emotion total disturbance score.

[0059] The positive emotion type can include an energy classification and a self-esteem classification, and the negative emotion type can include a nervousness classification, an anger classification, a fatigue classification, a depression classification, and a panic classification. When obtaining the first emotion total disturbance score, the scores of the energy classification and the self-esteem classification under the positive emotion type can be extracted from the first psychological scale score, and the scores are added to obtain the first emotion score sum. Meanwhile, the scores of the five types of nervousness, anger, fatigue, depression, and panic under the negative emotion type are extracted, and the scores are added to obtain the second emotion score sum. Then, according to the standard calculation method of the emotion total disturbance (TMD), the second emotion score sum is subtracted from the first emotion score sum, and then 100 is added, so that the first emotion total disturbance score of the initial emotion state of the subject before watching the target building model is obtained.

[0060] Similarly, when obtaining the second emotional chaos score, the same calculation logic can be used to extract the scores of positive emotional types from the second psychological scale scores and add them up to obtain the third emotional score sum, extract the scores of negative emotional types and add them up to obtain the fourth emotional score sum, and obtain the second emotional chaos score of the emotional state of the subject after watching the target building model by subtracting the third emotional score sum from the fourth emotional score sum and adding 100.

[0061] Among them, the emotional chaos score as a key indicator to measure the emotional state, the score more than 100 usually indicates that the subject is in a negative emotional state, and less than 100 is biased towards a positive emotional state, therefore the emotional change value can be calculated by the difference between the second emotional chaos score and the first emotional chaos score, the difference is negative and the absolute value is greater, the more significant the three-dimensional greening scheme is to the subject. The relief effect of negative emotions, this calculation method can integrate the changes of various emotional dimensions into an intuitive comprehensive index, which can not only fully reflect the intervention effect of the three-dimensional greening scheme on the overall emotional state of the subject, but also ensure the objectivity and reliability of the emotional change value through standardized calculation logic, providing accurate core data support for subsequent quantitative scoring.

[0062] In one possible embodiment, the generating the quantitative score of the emotional impact of the three-dimensional greening scheme according to the eye movement parameters and the emotional change value comprises: obtaining the visual appeal of the three-dimensional greening scheme according to the eye movement parameters; determining the emotional improvement degree of the three-dimensional greening scheme according to the emotional change value; obtaining the feeling evaluation data of the target building model after each subject watches the target building model; determining the adaptability of the three-dimensional greening scheme according to the feeling evaluation data; and generating the quantitative score of the emotional impact according to the visual appeal, the emotional improvement degree and the adaptability.

[0063] Among them, the determination of the emotional improvement degree can directly rely on the emotional change value, which is calculated based on the difference between the first emotional chaos score and the second emotional chaos score. The determination of the adaptability, i.e. the subjective acceptance, can rely on the feeling evaluation data of the subject after watching the target building model, which can be obtained by semantic difference scale (Semantic Differential Scale, SDS). The semantic difference scale can include multiple groups of emotional word pairs, and the subject can select the emotional words in each emotional word pair to obtain the feeling evaluation data of the subject based on the selection. For example, the semantic difference scale can be as follows:

[0064]

[0065] The scale adopts a 7-level rating system of emotional adjectives, covering multiple evaluation dimensions such as happy-bored, attractive-repulsive, orderly-disorderly, ecological-artificial, warm-cold, etc., and also includes a total score item with a 10-point scale. The quantification of adaptability can be achieved by aggregating the scale data of all subjects, calculating the average score of each evaluation dimension and the average value of the overall score. The higher the score of the subject in the core evaluation dimension and the better the overall score, the higher the degree of fit between the three-dimensional greening scheme and the subject's subjective needs, and the stronger the adaptability.

[0066] Finally, when generating the quantitative score, a weighted comprehensive calculation method can be used, and reasonable weights can be set for visual attractiveness, emotional improvement degree, and adaptability according to the core objectives of architectural design. The final quantitative score is obtained by weighted summation. The weight value can be flexibly adjusted to match the needs of different engineering scenarios. This score can systematically integrate objective eye movement data, emotional intervention effect data, and subjective perception evaluation data, comprehensively and accurately reflect the comprehensive influence of the three-dimensional greening scheme on emotions, and provide direct and reliable quantitative reference for the optimization of architectural three-dimensional greening engineering design scheme.

[0067] In one possible embodiment, the visual attractiveness of the three-dimensional greening scheme is obtained according to the eye movement parameters, including: obtaining the gaze point trajectory of each subject when watching the target building model; obtaining the average gaze duration, pupil diameter, and first gaze duration of each subject in each region of the target building model; and obtaining the visual attractiveness of the three-dimensional greening scheme according to the gaze point trajectory, the average gaze duration, the pupil diameter, and the first gaze duration.

[0068] Wherein, the target building model corresponding to the three-dimensional greening scheme can be constructed by building modeling software first, and then rendered by rendering software to enhance the sense of reality. Subsequently, the target building model is divided into multiple regions according to the preset rules. For example Figure 3 As shown, the division method can include specific regions such as sky, building facade 1, building facade 2, building facade 3, other greening 1, and other greening 2. It can also be divided into functional regions such as sky region, surrounding environment region, building facade non-greening region, and building facade greening region according to the evaluation needs, laying a foundation for subsequent accurate analysis of eye movement data.

[0069] The collection of eye movement parameters can be achieved by using a head-mounted eye tracker. The subject wears the device to watch the target building model for a certain period of time, for example, three minutes, in an experimental room without natural light interference. The gaze point trajectory of the subject is recorded and obtained in real time by the eye tracker software, as well as the average gaze duration, pupil diameter, and first gaze duration in each region, etc. Core data, ensuring that the collected data is true and reliable.

[0070] In analyzing visual attraction, the physiological and psychological meanings of various eye movement parameters can be combined for comprehensive judgment. The fixation point trajectory can intuitively reflect the attention distribution characteristics of the subjects. If the fixation point trajectory is more concentrated in the building facade greening area, and the trajectory continuity is strong, it means that the area has stronger visual guiding force on the subjects and is more likely to capture attention. The longer the average fixation duration, the more intense the subjects' visual interest in the area, the higher the degree of active attention, and the stronger the visual attraction of the area. The change of pupil diameter is related to the emotional arousal level caused by visual stimulation. If the pupil diameter state of the subjects when watching the building facade greening area is more in line with the characteristics of positive visual experience, it can further prove the attraction of the area. The shorter the first fixation duration, the faster the area can attract the initial attention of the subjects, and the stronger the initial visual impact. In addition, the eye movement data of all subjects can be summarized to calculate the group average value of the average fixation duration and the first fixation duration of each area. Combined with the distribution proportion of the fixation point trajectory in each area, the capture ability and maintenance effect of the core greening area in the three-dimensional greening scheme on the visual attention of the subjects can be comprehensively judged, and finally the evaluation result of the visual attraction of the three-dimensional greening scheme can be formed.

[0071] It can be seen that the scheme can improve the objectivity and accuracy of visual attraction evaluation by comprehensively collecting the fixation point trajectory of the subjects watching the target building model, and the average fixation duration, pupil diameter and first fixation duration of each area of the target building model to analyze the visual attraction of the three-dimensional greening scheme, and more truly reflect the capture effect of the three-dimensional greening scheme on the visual attention of the subjects.

[0072] In one possible embodiment, the method further comprises: obtaining quantitative scores of the influence of the multiple three-dimensional greening schemes on emotions; obtaining relative costs and implementation feasibility scores of each three-dimensional greening scheme in the multiple three-dimensional greening schemes; and evaluating each three-dimensional greening scheme according to the quantitative scores, the relative costs and the implementation feasibility scores.

[0073] Wherein, the relative cost of each vertical greening scheme can be calculated by combining the cost of greening materials required for scheme implementation, construction labor cost, post-maintenance cost and other factors, and after calculation, it can be normalized to a scoring standard of 1-10 points, the lower the score, the lower the cost, facilitating intuitive comparison of cost differences of different schemes. The implementation feasibility score can be evaluated by a team of professional engineers and designers from the actual engineering perspective of building structure adaptability, construction technology maturity, site construction condition matching degree, and post-maintenance convenience, using a scoring system of 1-10 points, the higher the score, the stronger the actual landing feasibility of the scheme. When conducting comprehensive evaluation, a weighted comprehensive evaluation method can be used, and reasonable weights can be set according to the core objectives, relative costs and implementation feasibility scores of specific projects. The core objectives can be, for example, to prioritize emotional improvement effect, cost control or construction convenience, etc. For example, the emotional benefit weight corresponding to the quantitative score can be set to 0.5, the relative cost weight can be set to 0.3, and the implementation feasibility score weight can be set to 0.2, and the weight values can also be flexibly adjusted according to project needs.

[0074] This comprehensive evaluation method can fully consider the emotional impact effect of vertical greening schemes and the cost and feasibility factors in engineering practical application, avoiding the single focus on emotional benefits while ignoring the landing difficulty or cost pressure of the scheme. As in the scientific research practice examples, some schemes have outstanding emotional benefits, but due to the high relative cost, the comprehensive performance score is not as good as the more balanced schemes. Through this evaluation step, the comprehensive value of each scheme can be fully measured, providing a scientific and comprehensive decision basis for the final determination of the building vertical greening engineering design scheme.

[0075] In one possible embodiment, the evaluation of each vertical greening scheme according to the quantitative score, the relative cost and the implementation feasibility score includes: obtaining the highest quantitative score in the quantitative scores of the emotional impact of the multiple vertical greening schemes; obtaining a score ratio of the quantitative score of each vertical greening scheme to the highest quantitative score; normalizing the relative cost to obtain a target relative cost; obtaining the weight values of the quantitative score, the relative cost and the implementation feasibility score respectively; and evaluating each vertical greening scheme according to the weight values, the score ratio, the target relative cost and the implementation feasibility score.

[0076] Wherein, each vertical greening scheme can be evaluated by the following formula:

[0077]

[0078] Wherein, is the highest quantitative score, The relative cost of a three-dimensional greening scheme can be normalized to 1-10 points, with a lower score indicating lower cost. ES is the quantitative score for each three-dimensional greening scheme, and Feasibility is the implementation feasibility score. w1, w2, and w3 are weight values.

[0079] This calculation method can systematically integrate the three core factors of emotional impact effect, cost control level, and engineering feasibility. It can not only highlight the core value of emotional improvement reflected by the quantitative score, but also take into account the cost pressure and execution difficulty in actual engineering applications. Just as in scientific research, some schemes with high emotional benefits have lower overall performance scores than more balanced schemes due to their relatively high costs. This evaluation method can filter out the optimal three-dimensional greening scheme that has good emotional impact effect, reasonable cost, and high feasibility, providing a scientific and comprehensive quantitative basis for the final decision of the building three-dimensional greening engineering design scheme.

[0080] The overall process of evaluating multiple three-dimensional greening schemes based on comparative experiments is explained below.

[0081] First, for example, the building modeling software completes the modeling of the control group and the experimental group. The control group is a normal building (without greening facade), and the experimental group is a building with different types of three-dimensional greening schemes. Then use rendering software to render the model to enhance the realism of the model. And divide the model space into regions, such as sky area, surrounding environment area, building facade non-greening area, and building facade greening area, for subsequent accurate analysis of eye movement data. For example Figure 4 As shown in Figure 4 (a) in (a) is the control group, i.e. a normal building, Figure 4 (b) in (b) is experimental group 1: combining indirect vertical greening with photovoltaic panels arranged in intervals (IVG-1), Figure 4 (c) in (c) is experimental group 2: combining indirect vertical greening with photovoltaic panels on parallel walls (IVG-2), Figure 4 (d) in (d) is experimental group 3: combining indirect vertical greening with photovoltaic panels arranged through the wall (IVG-3).

[0082] Then prepare for the experiment, including: preparing the experimental room, eye tracker experimental instruments, supporting computers, and eye tracker supporting software.

[0083] Room: Since light has a significant impact on eye tracker data collection, the experiment is conducted in a room without natural light to ensure that the eye movement data collected from each subject is true and reliable.

[0084] Eye tracker experimental instruments: a professional device that tracks and records eye movement trajectories to quantitatively analyze user visual attention and cognitive processing.

[0085] Computer: with data transmission, recording, saving and other functions. The computer can include two computers, one of which cooperates with the eye tracker to present the eye movement experiment photos and store the eye movement data, and is installed with eye movement tracking supporting software. The other computer is used to browse the experimental photos when filling out the questionnaire.

[0086] Eye tracker supporting software: with experimental design, data collection, data analysis, data visualization and other functions.

[0087] Then the subjects are divided into experimental group and control group: the experimental group will watch the stereoscopic green building in the subsequent experiment; the control group will watch the ordinary building (without stereoscopic green) in the subsequent experiment.

[0088] The specific experimental steps include: at the beginning of the experiment, the subjects are induced to produce negative emotions through a stress induction experiment, such as playing a video that is easy to make people feel down. The subjects fill out the mood state scale to obtain the first psychological scale score.

[0089] Then, all subjects wear eye trackers and watch building models for a certain length of time, for example, three minutes. The experimental group subjects watch the stereoscopic green building model to obtain the intervention effect information of the green facade on emotions. The control group subjects watch the ordinary building model as a reference group for natural recovery of emotions. At the same time, the eye tracking device is used to record the eye movement parameters of the subjects when observing the facade, including the gaze point trajectory, average gaze time, pupil diameter and first gaze time, etc.

[0090] After the subjects observe the building model, the subjects fill out the mood state scale again to obtain the second psychological scale score.

[0091] And use the semantic difference scale to collect the subjects' subjective evaluation of the buildings they watched to obtain the feeling evaluation data.

[0092] Finally, the first psychological scale score, the second psychological scale score, the feeling evaluation data and the eye movement parameters of each subject obtained are processed and analyzed.

[0093] For example Figure 5The pre-and post-experimental emotional comparison chart shows that the square broken line represents the TMD scores of 55 experimental participants before the experiment, and the round dot broken line represents the change of their TMD scores after the experiment. The triangular broken line represents the difference between the TMD scores before and after the experiment, providing a visual sense of the change. After observing the green infrastructure environment pictures, most of the experimental participants (35 people) significantly reduced the emotional chaos compared to before the experiment, which obviously reflected the change of their emotional valence from negative to positive. In the other control experiment, the change of the emotional chaos of the experimental participants (20 people) after observing the blank pictures was small, even without fluctuation, which reflected that their emotional valence did not change significantly.

[0094] Before the experiment, the average TMD of the subjects reached 116.12, and the TMD scores of 50 experimental participants exceeded 100, which indicated that most of the participants were in a negative emotional state before the experiment. The highest TMD value reached 145, and the lowest value was 92, which further confirmed that most of the experimental participants experienced high levels of stress and negative tension during the stress phase. However, after the experiment, the average TMD decreased to 101.70, and the TMD scores of 24 people were lower than 100, which indicated that most of the experimental participants had changed to positive emotional valence after the experiment. Although a small part of the experimental participants maintained the original positive or negative emotional valence throughout the experiment, which was likely caused by excessive tension or individual differences, overall, the emotional chaos (TMD) scores of all participants showed a decreasing trend. Specifically, the average decrease was 14.41, the highest decrease was 43, and the lowest decrease was -4. These data fully proved that the photovoltaic green facade had a positive effect on improving the emotional valence of the experimental participants.

[0095] The eye movement data was processed using the eye movement tracking software provided with the experimental instrument, and the relationship between vision and building facade was measured using relevant eye movement indicators, which were drawn as follows: Figure 6The six groups are building facade 1, building facade 2, building facade 3, other green 1, other green 2 and sky. Through the analysis of eye movement data of different groups, it can be found that there is a significant difference in visual attention mode between the experimental group (IVG) and the control group (C). Overall, the attention of all subjects is mainly concentrated on building facade 1, but the fixation proportion (FC%) and the first fixation duration (FFD) of the experimental group on this area are significantly higher than those of the control group, indicating that the intervention effectively enhances the attention investment and early processing depth of the main target. At the same time, the fixation proportion of the experimental group on the "other green" area is generally reduced, and it is particularly noteworthy that the attention of IVG-2 and IVG-3 to the sky is almost negligible. This pattern of give and take shows that the intervention may have led to a weakening of attention to peripheral environmental elements while successfully directing attention to focus on the core building facade, showing a tendency towards attention centralization. The subtle differences in data between different experimental groups suggest that the intensity or method of intervention may produce different degrees of effect.

[0096] Please refer to the radar chart as shown in Figure 7 The radar chart is generated based on the feeling evaluation data after watching the building model of the control group and different experimental groups, including the feelings of the subjects in "pleasure, attractiveness, order, richness, transparency, ecological, warm and integration". Based on the radar chart, it can be known that the control group (ordinary building scheme) has a poor experience in emotional factors such as pleasure, attractiveness and spatial atmosphere. It is easy to give people a monotonous and stiff impression in terms of spatial atmosphere shaping. In comparison, the experimental groups (IVG-1, IVG-2, IVG-3) perform more evenly in various aspects. Among them, IVG-2 is more prominent in terms of pleasure and attractiveness than the other two schemes, which is consistent with the results of the eye tracking heat map before. This shows that people prefer horizontal placement of photovoltaic panels and more regular greenery.

[0097] Then, based on the weight value, score ratio, target relative cost and implementation feasibility score of each solid green scheme, the final score is obtained, for example, as shown in the following table:

[0098] Group ES Relative ES Score Relative Cost Cost Score (1 / Cost) Feasibility Total Score C 2.05 0.62 1.0 (Benchmark) 1 9 1.48 IVG-2 3.31 1.00 3.0 (More Expensive) 0.33 7 1.23 IVG-3 3.02 0.91 2.5 0.4 8 1.33 IVG-1 2.21 0.67 1.5 0.67 9 1.60

[0099] Looking at the emotional benefits alone, IVG-2 is the best. But after adding the cost and feasibility, due to its high assumed cost, the overall performance score of IVG-2 is lowered. IVG-1 scheme, with its balanced performance (good ES, lower cost, high feasibility), is higher in total score than IVG-2, becoming the most cost-effective choice.

[0100] The device for evaluating the influence of three-dimensional greening of a building on emotion provided by the embodiment of the present application is described below, and the device for evaluating the influence of three-dimensional greening of a building on emotion described below can be correspondingly referred to the method for evaluating the influence of three-dimensional greening of a building on emotion described above.

[0101] Please refer to Figure 8 The device 800 for evaluating the influence of three-dimensional greening of a building on emotion comprises: a first acquisition unit 801 configured to acquire a target building model, the target building model corresponding to a three-dimensional greening scheme; a second acquisition unit 802 configured to respectively acquire a first psychological scale score of each subject before watching the target building model, an eye movement parameter of each subject when watching the target building model, and a second psychological scale score of each subject after watching the target building model; a third acquisition unit 803 configured to acquire an emotion change value according to the first psychological scale score and the second psychological scale score; and a scoring unit 804 configured to generate a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameter and the emotion change value.

[0102] In one possible embodiment, before the emotion change value is acquired according to the first psychological scale score and the second psychological scale score, the third acquisition unit 803 is further configured to: acquire a score of each emotion classification in the second psychological scale score of each subject; acquire an average value of the scores of each emotion classification in the second psychological scale score of all subjects; determine a plurality of eye movement feature values according to the eye movement parameter; determine a Pearson correlation coefficient of each emotion classification and each eye movement feature value according to each eye movement feature value of each subject, the score of each emotion classification, and the average value of the scores of each emotion classification; and determine at least one target emotion classification and at least one target eye movement feature value according to the Pearson correlation coefficient, the at least one target emotion classification having a correlation relationship with the at least one target eye movement feature value.

[0103] In a possible implementation, in the emotion change value acquisition based on the first psychological scale score and the second psychological scale score, the third acquisition unit 803 is specifically configured to: divide the at least one target emotion classification into a positive emotion type and a negative emotion type; acquire a first emotion score sum of the positive emotion type and a second emotion score sum of the negative emotion type based on the first psychological scale score; acquire a first emotion chaos total score based on the first emotion score sum and the second emotion score sum; acquire a third emotion score sum of the positive emotion type and a fourth emotion score sum of the negative emotion type based on the second psychological scale score; acquire a second emotion chaos total score based on the third emotion score sum and the fourth emotion score sum; and acquire the emotion change value based on the first emotion chaos total score and the second emotion chaos total score.

[0104] In a possible implementation, in the generation of the quantitative score of the emotion impact of the stereoscopic greening scheme based on the eye movement parameter and the emotion change value, the scoring unit 804 is specifically configured to: acquire visual attraction of the stereoscopic greening scheme based on the eye movement parameter; determine emotion improvement degree of the stereoscopic greening scheme based on the emotion change value; acquire feeling evaluation data of the target building model after the each subject watches the target building model; determine adaptability of the stereoscopic greening scheme based on the feeling evaluation data; and generate the quantitative score of the emotion impact based on the visual attraction, the emotion improvement degree, and the adaptability.

[0105] In a possible implementation, in the acquisition of the visual attraction of the stereoscopic greening scheme based on the eye movement parameter, the scoring unit 804 is specifically configured to: acquire a gaze point trajectory of the each subject when the each subject watches the target building model; acquire average gaze duration, pupil diameter, and first gaze duration of each region of the target building model of the each subject; and acquire the visual attraction of the stereoscopic greening scheme based on the gaze point trajectory, the average gaze duration, the pupil diameter, and the first gaze duration.

[0106] In a possible implementation, the scoring unit 804 is further configured to: acquire quantitative scores of emotion impacts of a plurality of stereoscopic greening schemes; acquire relative costs and implementation feasibility scores of each stereoscopic greening scheme in the plurality of stereoscopic greening schemes; and evaluate the each stereoscopic greening scheme based on the quantitative scores, the relative costs, and the implementation feasibility scores.

[0107] In a possible implementation, in the evaluation of each vertical greening scheme according to the quantification score, the relative cost and the implementation feasibility score, the scoring unit 804 is specifically configured to: obtain a highest quantification score in the quantification scores of the emotional influence of the plurality of vertical greening schemes; obtain a score ratio of the quantification score of each vertical greening scheme and the highest quantification score; normalize the relative cost to obtain a target relative cost; obtain a weight value of the quantification score, the relative cost and the implementation feasibility score respectively; and evaluate each vertical greening scheme according to the weight value, the score ratio, the target relative cost and the implementation feasibility score.

[0108] Referring to Figure 9 , Figure 9 An entity structure diagram of a communication device is exemplified. The communication device can be a terminal, a first network device or a second network device. It can include a processor 910, a communication interface 920, a memory 930 and a communication bus 940, wherein the processor 910, the communication interface 920 and the memory 930 complete mutual communication through the communication bus 940. The processor 910 can invoke a computer program in the memory 930 to execute a method for evaluating the emotional influence of vertical greening of a building, which includes: obtaining a target building model, the target building model corresponding to a vertical greening scheme; obtaining a first psychological scale score of each subject before watching the target building model, an eye movement parameter when watching the target building model and a second psychological scale score after watching the target building model respectively; obtaining an emotional change value according to the first psychological scale score and the second psychological scale score; and generating a quantification score of the emotional influence of the vertical greening scheme according to the eye movement parameter and the emotional change value.

[0109] Further, the logic instructions in the memory 930 described above can be implemented in the form of software functional units and sold or used as standalone products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0110] In another aspect, the embodiments of the present application also provide a computer program product, the computer program product comprising a computer program, the computer program being stored in a non-transitory computer readable storage medium, and the computer program being executable by a processor to cause a computer to execute the method for evaluating the influence of three-dimensional greening of a building on emotions provided by the above-mentioned embodiments, the method comprising: obtaining a target building model, the target building model corresponding to a three-dimensional greening scheme; obtaining a first psychological scale score before each subject views the target building model, an eye movement parameter when the subject views the target building model, and a second psychological scale score after the subject views the target building model; obtaining an emotion change value according to the first psychological scale score and the second psychological scale score; and generating a quantitative score of the influence of the three-dimensional greening scheme on emotions according to the eye movement parameter and the emotion change value.

[0111] In another aspect, the embodiments of the present application also provide a processor readable storage medium, the processor readable storage medium storing a computer program, the computer program being used to cause a processor to execute the method for evaluating the influence of three-dimensional greening of a building on emotions provided by the above-mentioned embodiments, the method comprising: obtaining a target building model, the target building model corresponding to a three-dimensional greening scheme; obtaining a first psychological scale score before each subject views the target building model, an eye movement parameter when the subject views the target building model, and a second psychological scale score after the subject views the target building model; obtaining an emotion change value according to the first psychological scale score and the second psychological scale score; and generating a quantitative score of the influence of the three-dimensional greening scheme on emotions according to the eye movement parameter and the emotion change value.

[0112] The device embodiments described above are merely illustrative, wherein the units illustrated as separate components can or can not be physically separate, and the components illustrated as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0113] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software products can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of the embodiments or some parts of the embodiments.

[0114] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of assessing the impact of vertical greening on mood in a building, characterized in that, The method comprises: obtaining a target building model corresponding to a three-dimensional greening scheme; obtaining a first psychological scale score of each subject before watching the target building model, an eye movement parameter when watching the target building model, and a second psychological scale score after watching the target building model; obtaining an emotional change value according to the first psychological scale score and the second psychological scale score; generating a quantitative score of the influence of the three-dimensional greening scheme on emotion according to the eye movement parameter and the emotional change value; obtaining quantitative scores of the influence of a plurality of three-dimensional greening schemes on emotion; obtaining a relative cost and an implementation feasibility score of each three-dimensional greening scheme in the plurality of three-dimensional greening schemes; obtaining the highest quantitative score in the quantitative scores of the influence of the plurality of three-dimensional greening schemes on emotion; obtaining a score ratio of the quantitative score of each three-dimensional greening scheme to the highest quantitative score; normalizing the relative cost to obtain a target relative cost; obtaining a weight value of the quantitative score, the relative cost, and the implementation feasibility score respectively, the weight value being determined according to a core target of the project, the core target including considering emotional improvement effect, cost control, or construction convenience; evaluating each three-dimensional greening scheme according to the weight value, the score ratio, the target relative cost, and the implementation feasibility score.

2. The method of claim 1, wherein, Before the emotional change value is obtained according to the first psychological scale score and the second psychological scale score, the method further comprises: obtaining a score of each emotional classification in the second psychological scale score of each subject; obtaining an average value of the scores of each emotional classification in the second psychological scale score of all subjects; determining a plurality of eye movement characteristic values according to the eye movement parameter; determining a Pearson correlation coefficient of each emotional classification and each eye movement characteristic value according to each eye movement characteristic value of each subject, the score of each emotional classification, and the average value of the scores of each emotional classification; determining at least one target emotional classification and at least one target eye movement characteristic value according to the Pearson correlation coefficient, the at least one target emotional classification having a correlation relationship with the at least one target eye movement characteristic value.

3. The method of claim 2, wherein, The emotional change value is obtained according to the first psychological scale score and the second psychological scale score, comprising: dividing the at least one target emotional classification into a positive emotional type and a negative emotional type; obtaining a first emotional score sum of the positive emotional type and a second emotional score sum of the negative emotional type according to the first psychological scale score; obtaining a first emotional clutter total score according to the first emotional score sum and the second emotional score sum; obtaining a third emotional score sum of the positive emotional type and a fourth emotional score sum of the negative emotional type according to the second psychological scale score; obtaining a second emotional clutter total score according to the third emotional score sum and the fourth emotional score sum; obtaining the emotional change value according to the first emotional clutter total score and the second emotional clutter total score.

4. The method of claim 3, wherein, The generating the quantitative score of the influence on emotion of the stereoscopic greening scheme according to the eye movement parameter and the emotion change value comprises: obtaining visual attraction of the stereoscopic greening scheme according to the eye movement parameter; determining emotion improvement degree of the stereoscopic greening scheme according to the emotion change value; obtaining feeling evaluation data of each subject after watching the target building model; determining adaptability of the stereoscopic greening scheme according to the feeling evaluation data; generating the quantitative score of the influence on emotion according to the visual attraction, the emotion improvement degree and the adaptability.

5. The method of claim 4, wherein, The obtaining visual attraction of the stereoscopic greening scheme according to the eye movement parameter comprises: obtaining gaze point trajectory of each subject when watching the target building model; obtaining average gaze time, pupil diameter and first gaze time of each subject in each region of the target building model; obtaining visual attraction of the stereoscopic greening scheme according to the gaze point trajectory, the average gaze time, the pupil diameter and the first gaze time.

6. An apparatus for assessing the emotional impact of vertical greening of a building, characterized in that, comprise: a first obtaining unit, configured to obtain a target building model, the target building model corresponding to a stereoscopic greening scheme; a second obtaining unit, configured to respectively obtain a first psychological scale score of each subject before watching the target building model, eye movement parameters of each subject when watching the target building model, and a second psychological scale score of each subject after watching the target building model; a third obtaining unit, configured to obtain an emotion change value according to the first psychological scale score and the second psychological scale score; a scoring unit, configured to generate a quantitative score of the influence on emotion of the stereoscopic greening scheme according to the eye movement parameters and the emotion change value; the scoring unit is further configured to obtain quantitative scores of the influence on emotion of a plurality of stereoscopic greening schemes; obtain a relative cost and an implementation feasibility score of each stereoscopic greening scheme in the plurality of stereoscopic greening schemes; obtain a highest quantitative score in the quantitative scores of the influence on emotion of the plurality of stereoscopic greening schemes; obtain a score ratio of the quantitative score of each stereoscopic greening scheme to the highest quantitative score; normalize the relative cost to obtain a target relative cost; obtain weight values of the quantitative score, the relative cost and the implementation feasibility score respectively, the weight values being determined according to core targets of a project, the core targets including considering emotion improvement effect, cost control or construction convenience; and evaluate each stereoscopic greening scheme according to the weight values, the score ratio, the target relative cost and the implementation feasibility score.

7. An electronic device, comprising: The computer program is stored in the memory and run on the processor, and the processor implements the method for evaluating the influence on emotion of stereoscopic greening of a building according to any one of claims 1-5 when executing the computer program.

8. A non-transitory computer-readable storage medium, comprising: The computer program is stored in the memory and run on the processor, and the processor implements the method for evaluating the influence on emotion of stereoscopic greening of a building according to any one of claims 1-5 when executing the computer program.

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