Method, device and equipment for evaluating influence of three-dimensional greening of building on emotion

Abstract

The invention provides a method, device and equipment for evaluating the influence of three-dimensional greening of a building on emotions, and belongs to the technical field of data processing under the Internet industry, and the method comprises the steps: obtaining a target building model, and enabling the target building model to correspond to a three-dimensional greening scheme; respectively obtaining 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; acquiring an emotion change value according to the first psychological scale score and the second psychological scale score; and according to the eye movement parameter and the emotion change value, generating a quantitative score of the influence of the three-dimensional greening scheme on the emotion. The comprehensiveness and the result credibility of the emotion influence evaluation of the building three-dimensional greening scheme can be improved.

Description

Technical Field

[0001] This application belongs to the field of data processing technology, specifically relating to a method, apparatus, and device for assessing the impact of vertical greening on mood. Background Technology

[0002] In the field of architectural design, vertical greening is an important means of improving the living environment and enhancing spatial quality, and its impact on users' emotional state is gradually becoming a key basis for design optimization. However, current assessment techniques for the emotional impact of vertical greening still have significant shortcomings.

[0003] Current assessment methods often rely on single-dimensional data collection and analysis, either through subjective questionnaires to gather user feedback or based solely on simple physiological indicators. They lack a systematic integration of objective data related to visual perception and emotional changes, leading to a one-sided assessment. Furthermore, the assessment process often fails to accurately capture the differences in emotional states before and after the greening intervention, making it difficult to establish an effective correlation between visual observation characteristics and emotional responses, thus compromising the objectivity of the assessment results. In addition, most assessment results are primarily qualitative descriptions, lacking unified and scientific quantitative evaluation standards. Accurate horizontal comparisons of the emotional impact of different vertical greening schemes are impossible, limiting the credibility and reference value of the assessment results. This hinders the provision of clear and feasible guidance for optimizing architectural vertical greening engineering design schemes, thus restricting the efficient application of vertical greening technology in building engineering. Summary of the Invention

[0004] This application provides a method, apparatus, and equipment for assessing the emotional impact of vertical greening on buildings, in order to improve the comprehensiveness and reliability of the assessment of the emotional impact of vertical greening schemes.

[0005] This application provides a method for assessing the emotional impact of vertical greening on buildings, including:

[0006] Obtain a target building model, which corresponds to a vertical greening scheme;

[0007] The scores of the first psychological scale for each subject before viewing the target building model, the eye movement parameters while viewing the target building model, and the scores of the second psychological scale after viewing the target building model were obtained respectively.

[0008] The emotional change value is obtained based on the scores of the first psychological scale and the second psychological scale.

[0009] A quantitative score of the impact of the vertical greening scheme on emotions is generated based on the eye movement parameters and the emotion change values.

[0010] According to the method for assessing the impact of vertical greening on emotions provided in this application, before obtaining the emotion change value based on the first psychological scale score and the second psychological scale score, the method further includes: obtaining the score of each subject for each emotion category in the second psychological scale score; obtaining the average score of all subjects for each emotion category in the second psychological scale score; determining multiple eye movement feature values ​​based on the eye movement parameters; determining the Pearson correlation coefficient between each emotion category and each eye movement feature value based on each subject's eye movement feature value, the score of each emotion category, and the average score of each emotion category; and determining at least one target emotion category and at least one target eye movement feature value based on the Pearson correlation coefficient, wherein the at least one target emotion category and the at least one target eye movement feature value are correlated.

[0011] According to the method for assessing the impact of vertical greening on emotions provided in this application, the step of obtaining an emotion change value based on the first psychological scale score and the second psychological scale score includes: classifying the at least one target emotion into a positive emotion type and a negative emotion type; obtaining the sum of a first emotion score for the positive emotion type and the sum of a second emotion score for the negative emotion type based on the first psychological scale score; obtaining a first emotion disorder score based on the sum of the first emotion score and the sum of the second emotion score; obtaining the sum of a third emotion score for the positive emotion type and the sum of a fourth emotion score for the negative emotion type based on the second psychological scale score; obtaining a second emotion disorder score based on the sum of the third emotion score and the sum of the fourth emotion score; and obtaining the emotion change value based on the first emotion disorder score and the second emotion disorder score.

[0012] According to the method for assessing the impact of vertical greening on emotions provided in this application, the step of generating a quantitative score of the impact of the vertical greening scheme on emotions based on the eye-tracking parameters and the emotion change value includes: obtaining the visual attractiveness of the vertical greening scheme based on the eye-tracking parameters; determining the degree of emotional improvement of the vertical greening scheme based on the emotion change value; obtaining the feeling evaluation data of each subject after viewing the target building model; determining the suitability of the vertical greening scheme based on the feeling evaluation data; and generating a quantitative score of the impact on emotions based on the visual attractiveness, the degree of emotional improvement, and the suitability.

[0013] According to the method for assessing the impact of vertical greening on emotions provided in this application, the step of obtaining the visual appeal of the vertical greening scheme based on the eye movement parameters includes: obtaining the gaze point trajectory of each subject when viewing the target building model; obtaining the average gaze duration, pupil diameter, and first gaze duration of each subject in each area of ​​the target building model; and obtaining the visual appeal of the vertical greening scheme based on the gaze point trajectory, the average gaze duration, the pupil diameter, and the first gaze duration.

[0014] According to the method for assessing the emotional impact of vertical greening on buildings provided in this application, the method further includes: obtaining quantitative scores of the emotional impact of multiple vertical greening schemes; obtaining relative cost and implementation feasibility scores for each of the multiple vertical greening schemes; and evaluating each vertical greening scheme based on the quantitative scores, the relative costs, and the implementation feasibility scores.

[0015] According to the method for assessing the emotional impact of vertical greening on buildings provided in this application, the evaluation of each vertical greening scheme based on the quantitative score, the relative cost, and the implementation feasibility score includes: obtaining the highest quantitative score among the quantitative scores of the emotional impact of the multiple vertical greening schemes; obtaining the 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 based on the weight values, the score ratio, the target relative cost, and the implementation feasibility score.

[0016] This application also provides a device for assessing the emotional impact of vertical greening on buildings, comprising:

[0017] The first acquisition unit is used to acquire a target building model, wherein the target building model corresponds to a three-dimensional greening scheme.

[0018] The second acquisition unit is used to acquire, respectively, the first psychological scale score of each subject before viewing the target building model, the eye movement parameters when viewing the target building model, and the second psychological scale score after viewing the target building model;

[0019] The third acquisition unit is used to acquire the emotion change value based on the first psychological scale score and the second psychological scale score;

[0020] The scoring unit is used to generate a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change values.

[0021] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement any of the methods described above for assessing the impact of vertical greening on mood.

[0022] This application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the methods described above for assessing the impact of vertical greening on mood.

[0023] This application also provides a computer program product, including a computer program that, when executed by a processor, implements any of the methods described above for assessing the emotional impact of vertical greening on buildings.

[0024] According to the method, apparatus, and equipment provided in this application for assessing the emotional impact of vertical greening on buildings, the electronic device first acquires a target building model, which corresponds to a vertical greening scheme. Then, it acquires a first psychological scale score for each subject before viewing the target building model, eye-tracking parameters during viewing, and a second psychological scale score after viewing the target building model. Next, it obtains an emotional change value based on the first and second psychological scale scores. Finally, it generates a quantitative score on the emotional impact of the vertical greening scheme based on the eye-tracking parameters and the emotional change value. By combining the emotional change value obtained from the psychological scale scores before and after viewing the target building model with the eye-tracking parameters during viewing to generate a quantitative score, the objectivity, comprehensiveness, and reliability of the assessment of the emotional impact of vertical greening schemes can be improved, providing precise guidance for engineering design optimization. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating a method for assessing the emotional impact of vertical greening in buildings, as provided in this application.

[0027] Figure 2 This is the intended expression of mood state provided in this application.

[0028] Figure 3 This is a schematic diagram of the area division of an architectural model provided in this application.

[0029] Figure 4 This is a schematic diagram of the architectural model provided in this application.

[0030] Figure 5 This is a diagram illustrating the emotional changes of the subjects provided in this application.

[0031] Figure 6 This is a schematic diagram of the eye movement feature statistics provided in this application.

[0032] Figure 7 This is the sensory evaluation radar chart provided in this application.

[0033] Figure 8 This is a block diagram of the functional units of a device for assessing the impact of vertical greening on emotions, as provided in this application.

[0034] Figure 9 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0036] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0037] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0038] Existing assessment methods for the emotional impact of vertical greening in buildings often rely on single-dimensional data collection and analysis, or collect user feelings solely through subjective evaluation questionnaires, or make judgments based solely on simple physiological indicators. They lack a systematic combination of objective data related to visual perception and emotional changes, resulting in a one-sided assessment dimension.

[0039] To address the aforementioned issues, this application provides a method, apparatus, and device for assessing the impact of vertical greening on mood. The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0040] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for assessing the emotional impact of vertical greening on buildings, as provided in this application. The method for assessing the emotional impact of vertical greening on buildings includes the following steps.

[0041] S101, Obtain the target building model.

[0042] The target building model corresponds to a vertical greening scheme. A vertical greening scheme refers to a greening design and implementation plan for building facades, such as walls and exterior walls, which differs from traditional ground-level greening. It integrates greening elements and related functional modules into the building facade to create an architectural design scheme that combines ecological benefits, visual appeal, and emotional regulation. Different vertical greening schemes may include different layout forms, such as horizontally arranged or regularly distributed greening configurations; and different functional combination modes, such as composite schemes integrating photovoltaic panels and green plants.

[0043] S102, obtain the first psychological scale score of each subject before viewing the target building model, the eye movement parameters when viewing the target building model, and the second psychological scale score after viewing the target building model.

[0044] The scores of both the first and second psychological scales can be obtained from a mood state scale. This scale includes multiple questions, each corresponding to an emotion category, and an emotion category can be indicated by multiple questions. For example, the mood state scale is as follows: Figure 2As shown. This mood status form includes the subject's ID, age, name, and gender, as well as instructions for completing the form. The form includes multiple questions reflecting the user's current emotion, such as "nervous, angry, listless, unhappy, happy, flustered, embarrassed, irritable, exasperated, tired, sad, energetic, unable to concentrate, confident, anxious, angry, exhausted, sad, optimistic, flustered, restless, irritable, tired," etc. It also includes multiple emotion categories, such as "nervous, angry, tired, depressed, energetic, flustered, self-related emotions," with each category potentially indicated by multiple items.

[0045] Before viewing the target architectural model, participants fill out a mood status questionnaire, obtaining a score on the first psychological scale. After viewing the model, they fill out the questionnaire again, obtaining a score on the second psychological scale. The first scale score corresponds to the participant's initial emotional data before viewing the model, while the second scale score corresponds to their emotional data after viewing. Both scales include scores for negative emotions such as tension and anger, as well as scores for positive emotions such as energy and self-related emotions, including self-esteem, comprehensively capturing the differences in participants' emotional states before and after the vertical greening intervention.

[0046] First, the collected data from the first and second psychological scales can be entered and verified to ensure the accuracy and completeness of the data. Then, the raw scores of each subscale can be summarized and the corresponding psychological scale scores can be obtained through norm conversion.

[0047] In practice, when viewing the target building model, the subject can wear an eye tracker to view the target building model on the display device.

[0048] S103, obtain the emotion change value based on the first psychological scale score and the second psychological scale score.

[0049] S104, Generate a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change value.

[0050] As can be seen, in this embodiment, by combining the psychological scale scores of the subjects before and after viewing the target building model to obtain the emotional change value, and by comprehensively analyzing it with the eye movement parameters during the viewing process to generate a quantitative score, the objectivity, comprehensiveness and reliability of the assessment of the emotional impact of the building vertical greening scheme can be improved, providing precise guidance for engineering design optimization.

[0051] In one possible embodiment, before obtaining the emotion change value based on the first psychological scale score and the second psychological scale score, the method further includes: obtaining the score of each subject for each emotion category in the second psychological scale score; obtaining the average score of all subjects for each emotion category in the second psychological scale score; determining multiple eye movement feature values ​​based on the eye movement parameters; determining the Pearson correlation coefficient between each emotion category and each eye movement feature value based on each eye movement feature value of each subject, the score of each emotion category, and the average score of each emotion category; and determining at least one target emotion category and at least one target eye movement feature value based on the Pearson correlation coefficient, wherein the at least one target emotion category and the at least one target eye movement feature value are correlated.

[0052] The emotion categories can include tension, anger, fatigue, depression, energy, anxiety, and self-esteem, among others. Eye-tracking parameters can include fixation trajectory, average fixation duration, average pupil diameter, first fixation duration, and fixation ratio. The corresponding eye-tracking feature values ​​can be quantitative data extracted based on these parameters, such as the concentration index of the fixation trajectory and the first fixation duration value of a specific area. These eye-tracking feature values ​​can be obtained by processing them using eye-tracking software.

[0053] Next, the correlation between each emotion category and each eye movement feature value can be calculated using the Pearson correlation coefficient formula. SPSS 22.0 software can be used for data analysis during the calculation process to improve computational efficiency and result reliability. Furthermore, the eye movement feature values ​​and emotion category scores of all subjects can be standardized before calculation. The correlation analysis between eye movement features and emotion categories can be calculated using the following formula:

[0054]

[0055] in, denoted by r, the Pearson correlation coefficient between eye movement feature X (e.g., mean pupil diameter) and emotion classification score Y (e.g., score for anxiety). N represents the number of subjects, and X... i Y represents the eye movement feature value of the i-th subject. i Let Y be the emotion classification score of the i-th subject. The average of the eye movement characteristics of all subjects. The average emotion classification score for all subjects.

[0056] Correlation analysis revealed potential associations between different emotion categories and eye-tracking feature values. For example, a negative correlation was found between the fatigue emotion category and the average pupil diameter (r=-0.382, p<0.15). These association results are consistent with the physiological mechanisms of emotion processing and actual experience.

[0057] Finally, at least one target emotion category and at least one target eye movement feature value can be determined based on the absolute value of the Pearson correlation coefficient and the preset significance level (such as p<0.01 or p<0.05). For example, the emotion category with an absolute value of the correlation coefficient greater than the preset threshold and passing the significance test can be determined as the target emotion category, and the corresponding eye movement feature value can be determined as the target eye movement feature value. This ensures that the subsequent calculation and evaluation of emotion change values ​​can focus on the core indicators that are truly related, effectively eliminate the interference of irrelevant variables, and make the evaluation results more scientific and valuable.

[0058] In one possible embodiment, obtaining the emotion change value based on the first psychological scale score and the second psychological scale score includes: classifying the at least one target emotion into a positive emotion type and a negative emotion type; obtaining the sum of a first emotion score for the positive emotion type and the sum of a second emotion score for the negative emotion type based on the first psychological scale score; obtaining a first emotion disorder score based on the sum of the first emotion score and the sum of the second emotion score; obtaining the sum of a third emotion score for the positive emotion type and the sum of a fourth emotion score for the negative emotion type based on the second psychological scale score; obtaining a second emotion disorder score based on the sum of the third emotion score and the sum of the fourth emotion score; and obtaining the emotion change value based on the first emotion disorder score and the second emotion disorder score.

[0059] Positive emotion types can include energy and self-esteem categories, while negative emotion types can include tension, anger, fatigue, depression, and anxiety categories. To obtain the total first emotion disturbance score, the scores for the energy and self-esteem categories under the positive emotion types are extracted from the first psychological scale score, and these two scores are summed to obtain the total first emotion score. Simultaneously, the scores for the tension, anger, fatigue, depression, and anxiety categories under the negative emotion types are extracted and summed to obtain the total second emotion score. Then, following the standard calculation method for Total Mood Disturbance (TMD), the total second emotion score is subtracted from the total first emotion score, and then 100 is added to obtain the total first emotion disturbance score for the corresponding subject's initial emotional state before viewing the target architectural model.

[0060] Similarly, when obtaining the total score of the second emotional disturbance, the same calculation logic can be used. The scores of positive emotional types are extracted from the scores of the second psychological scale and summed to obtain the total score of the third emotional type. The scores of negative emotional types are extracted and summed to obtain the total score of the fourth emotional type. The total score of the second emotional disturbance is obtained by subtracting the total score of the third emotional type from the total score of the fourth emotional type and then adding 100.

[0061] Among them, the total score of emotional disturbance is a key indicator for measuring emotional state. A score above 100 usually indicates that the subject is in a negative emotional state, while a score below 100 indicates a more positive emotional state. Therefore, the emotional change value can be calculated by the difference between the second total score of emotional disturbance and the first total score of emotional disturbance. The larger the negative absolute value of the difference, the more significant the effect of the vertical greening scheme on alleviating the subject's negative emotions. This calculation method can integrate the changes of various emotional dimensions into an intuitive comprehensive indicator, which can not only comprehensively reflect the intervention effect of the vertical 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, generating a quantitative score of the emotional impact of the vertical greening scheme based on the eye-tracking parameters and the emotion change value includes: obtaining the visual attractiveness of the vertical greening scheme based on the eye-tracking parameters; determining the emotional improvement degree of the vertical greening scheme based on the emotion change value; obtaining the feeling evaluation data of each subject after viewing the target building model; determining the suitability of the vertical greening scheme based on the feeling evaluation data; and generating a quantitative score of the emotional impact based on the visual attractiveness, the emotional improvement degree, and the suitability.

[0063] The degree of mood improvement can be directly determined based on the mood change value, which is calculated from the difference between the total score of the first mood disturbance and the total score of the second mood disturbance. Adaptability, i.e., subjective acceptance, can be determined based on the subject's emotional evaluation data after viewing the target architectural model. This data can be collected using a Semantic Differential Scale (SDS). This SDS can include multiple pairs of emotional words, and subjects can select emotional words from each pair, with the selections used to obtain the subject's emotional evaluation data. For example, the SDS might look like this:

[0064]

[0065] This scale uses a 7-point rating system with pairs of affective adjectives, covering multiple evaluation dimensions such as pleasant-bored, attractive-resistant, orderly-disorganized, ecological-artificial, and warm-cold. It also includes a 10-point overall rating. The suitability can be quantified by aggregating the scale data from all participants, calculating the average score for each evaluation dimension and the average overall score. Higher scores on the core evaluation dimensions and better overall scores indicate a higher degree of alignment between the vertical greening plan and the participant's subjective needs, thus demonstrating stronger suitability.

[0066] Finally, when generating the quantitative score, a weighted comprehensive calculation method can be used. Based on the core objectives of architectural design—visual appeal, emotional improvement, and adaptability—reasonable weights are assigned, and the final quantitative score is obtained through weighted summation. The weight values ​​can be flexibly adjusted to match the needs of different engineering scenarios. This score can systematically integrate objective eye-tracking data, emotional intervention effect data, and subjective feeling evaluation data, comprehensively and accurately reflecting the overall impact of vertical greening schemes on emotions, providing a direct and reliable quantitative reference for optimizing architectural vertical greening engineering design schemes.

[0067] In one possible embodiment, obtaining the visual appeal of the three-dimensional greening scheme based on the eye-tracking parameters includes: obtaining the gaze trajectory of each subject when viewing the target building model; obtaining the average gaze duration, pupil diameter, and first gaze duration of each subject in each area of ​​the target building model; and obtaining the visual appeal of the three-dimensional greening scheme based on the gaze trajectory, the average gaze duration, the pupil diameter, and the first gaze duration.

[0068] This process involves first constructing a target building model for the corresponding vertical greening scheme using architectural modeling software, then rendering the model using rendering software to enhance realism, and finally dividing the target building model into multiple areas according to preset rules. For example... Figure 3 As shown, the division can include specific areas such as the sky, building facade 1, building facade 2, building facade 3, other green areas 1 and other green areas 2. Alternatively, it can be divided into clearly defined functional areas such as the sky area, the surrounding environment area, the non-green area of ​​the building facade, and the green area of ​​the building facade, laying the foundation for subsequent accurate analysis of eye-tracking data.

[0069] Eye-tracking parameters can be collected using a head-mounted eye tracker. Subjects wear the device in a laboratory room free from natural light interference and view a target architectural model for a certain period of time, such as three minutes. Simultaneously, the eye tracker's accompanying software records and acquires the subject's fixation trajectory in real time, as well as key data such as the average fixation duration, pupil diameter, and initial fixation duration in each of the aforementioned areas, ensuring the accuracy and reliability of the collected data.

[0070] When analyzing visual appeal, a comprehensive judgment can be made by combining the physiological and psychological significance of various eye movement parameters. The fixation trajectory directly reflects the distribution characteristics of the subject's attention. If the fixation trajectory is more concentrated in the green area of ​​the building facade and has strong continuity, it indicates that this area has a stronger visual guiding force on the subject and is more likely to capture attention. A longer average fixation duration usually indicates a stronger visual interest and a higher degree of active attention from the subject, indirectly reflecting the area's visual appeal. Changes in pupil diameter are related to the level of emotional arousal induced by visual stimuli. If the pupil diameter of the subject when viewing the green area of ​​the building facade is more consistent with the characteristics of a positive visual experience, it further corroborates the area's appeal. A shorter initial fixation duration indicates that the area can quickly attract the subject's initial attention and has a stronger initial visual impact. Furthermore, by summarizing the eye movement data of all subjects, calculating the average fixation duration and the group average of the initial fixation duration for each area, and combining this with the distribution ratio of fixation trajectories in each area, a comprehensive judgment can be made on the ability of the core green area in the vertical greening scheme to capture and maintain the subject's visual attention, ultimately forming an evaluation result that objectively reflects the visual appeal of the vertical greening scheme.

[0071] It is evident that this approach, by comprehensively collecting the gaze trajectory of subjects when viewing the target building model, as well as the average gaze duration, pupil diameter, and first gaze duration of each area of ​​the target building model, can improve the objectivity and accuracy of visual attractiveness assessment and more realistically reflect the effect of the vertical greening scheme on capturing the visual attention of subjects.

[0072] In one possible embodiment, the method further includes: obtaining quantitative scores of the impact of multiple vertical greening schemes on emotions; obtaining relative cost and implementation feasibility scores for each of the multiple vertical greening schemes; and evaluating each vertical greening scheme based on the quantitative scores, the relative costs, and the implementation feasibility scores.

[0073] The relative cost of each vertical greening scheme can be calculated by comprehensively considering factors such as the cost of greening materials, construction labor costs, and subsequent maintenance costs. This cost can be standardized to a 1-10 point rating system, with higher scores indicating lower costs, facilitating a direct comparison of cost differences between different schemes. The feasibility assessment can be conducted by a professional team of engineers and designers, comprehensively evaluating aspects such as building structure adaptability, construction technology maturity, on-site construction condition matching, and ease of subsequent maintenance. This assessment also uses a 1-10 point rating system, with higher scores indicating stronger feasibility for implementation. A weighted comprehensive evaluation method can be used, assigning appropriate weights to the core objectives, relative costs, and feasibility scores for each specific project. Core objectives can prioritize factors such as emotional well-being, cost control, or ease of construction. For example, the weight for emotional benefits could be set at 0.5, relative costs at 0.3, and feasibility at 0.2. These weights can also be flexibly adjusted according to project needs.

[0074] This comprehensive evaluation method can fully consider the emotional impact of vertical greening schemes with the cost and feasibility factors in actual engineering applications. It avoids focusing solely on emotional benefits while ignoring the difficulty of implementation or cost pressures. For example, in scientific research practice, some schemes may have outstanding emotional benefits, but their relatively high costs result in lower overall performance scores than more balanced schemes. This evaluation step can comprehensively measure the overall value of each scheme, providing a scientific and comprehensive decision-making basis for the final determination of the design scheme for building vertical greening projects.

[0075] In one possible embodiment, evaluating each vertical greening scheme based on the quantitative score, the relative cost, and the implementation feasibility score includes: obtaining the highest quantitative score among the quantitative scores of the impact of the multiple vertical greening schemes on emotions; obtaining the 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 based on the weight values, the score ratio, the target relative cost, and the implementation feasibility score.

[0076] Each vertical greening scheme can be evaluated using the following formula:

[0077]

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

[0079] This calculation method can systematically integrate three core factors: the effect of emotional impact, the level of cost control, and the feasibility of project implementation. It can highlight the core value of emotional improvement reflected by quantitative scores, while also taking into account the cost pressure and execution difficulty in actual engineering applications. Just as some solutions with outstanding emotional benefits in scientific research practice have lower overall performance scores than solutions with stronger balance due to their relatively high costs, this evaluation method can screen out the optimal vertical greening solution that combines good emotional impact, reasonable cost, and high feasibility, providing a scientific and comprehensive quantitative basis for the final decision on the design scheme of building vertical greening projects.

[0080] The following explains the overall process of evaluating multiple vertical greening schemes based on comparative experiments.

[0081] First, architectural modeling software is used to create models for both the control and experimental groups. The control group consists of ordinary buildings (without green facades), while the experimental groups consist of buildings employing different types of vertical greening schemes. Then, rendering software is used to render the models to enhance their realism. The models are then divided into spatial regions, such as the sky area, the surrounding environment area, the non-greened area of ​​the building facade, and the greened area of ​​the building facade, for subsequent precise analysis of eye-tracking data. For example... Figure 4 As shown, Figure 4 (a) in the figure represents the control group, i.e., ordinary buildings. Figure 4 (b) in the figure represents Experimental Group 1: combining indirect vertical greening with spaced photovoltaic panels (IVG-1). Figure 4 (c) in the figure represents Experimental Group 2: combining indirect vertical greening with photovoltaic panels on parallel walls (IVG-2). Figure 4 (d) in the figure represents experimental group 3: combining indirect vertical greening with photovoltaic panels arranged throughout the wall (IVG-3).

[0082] Then, experimental preparations are carried out, including: preparing the experimental room, eye tracker experimental equipment, matching computer, and eye tracker software.

[0083] Room: Since light has a significant impact on the acquisition of eye-tracking data, the experiment was conducted in a room without natural light to ensure the authenticity and reliability of the eye-tracking data collected from each subject.

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

[0085] The accompanying computers have data transmission, recording, and storage functions. Two computers may be included: one computer works with the eye tracker to present eye-tracking experiment photos and store eye-tracking data, and is equipped with eye-tracking software; the other computer is used to view the experiment photos while completing the questionnaire.

[0086] The eye tracker software includes functions such as experimental design, data acquisition, data analysis, and data visualization.

[0087] The subjects were then divided into an experimental group and a control group: the experimental group would view vertical green buildings in subsequent experiments; the control group would view ordinary buildings (without vertical greening) in subsequent experiments.

[0088] Specific experimental steps include: At the start of the experiment, negative emotions are induced in the participants through a stress-inducing experiment, such as playing videos that easily cause depression. Participants complete a mood status scale and obtain scores on the first psychological scale.

[0089] Then, all participants wore eye trackers and viewed the architectural model for a certain period of time, such as three minutes. The experimental group participants viewed the vertical green building model to obtain information on the intervention effect of the green facade on emotions. The control group participants viewed a regular architectural model as a reference group for natural emotional recovery. Simultaneously, eye-tracking devices were used to record the participants' eye movement parameters while observing the facade, including fixation point trajectory, average fixation duration, pupil diameter, and initial fixation duration.

[0090] After observing the architectural model, the subjects then completed a mood status scale to obtain scores on the second psychological scale.

[0091] In addition, the semantic difference scale was used to collect the subjects' subjective feelings and evaluations of the buildings they viewed, and to obtain feelings and evaluation data.

[0092] Finally, the scores of the first and second psychological scales, the sensory evaluation data, and the eye movement parameters obtained for each subject were processed and analyzed.

[0093] For example Figure 5In the schematic diagram of the comparison of emotions before and after the experiment, the square broken line depicts the TMD scores of 55 experimental participants before the experiment, while the dot broken line shows the changes in their TMD scores after the experiment. The triangular broken line represents the difference in TMD scores before and after the experiment, providing an intuitive sense of the magnitude of the change. Most of the experimental participants (35 people) had a significantly lower level of emotional turmoil after observing pictures of the green infrastructure environment compared to before the experiment, which clearly reflected a change in their emotional valence from negative to positive. In another control experiment, the experimental participants (20 people) showed a smaller change or even no fluctuation in their emotional turmoil after observing blank photos, indicating that their emotional valence did not change significantly.

[0094] Before the experiment began, the average TMD of the subjects reached 116.12, and 50 experimental participants had TMD scores above 100, indicating that most participants were in a negative emotional state before the experiment started. The highest TMD value reached 145, and the lowest value was 92, further confirming that during the stress phase, most experimental participants experienced a high level of stress and negative tension. However, after the experiment ended, the average TMD decreased to 101.70, and 24 people had TMD scores below 100, suggesting that after the experiment, most experimental participants had changed to a positive emotional valence. Although there was a very small number of experimental participants who maintained their original positive or negative emotional valence throughout the experiment, probably due to excessive tension caused by the experimental process or individual trait differences, overall, the scores of the emotional turmoil (TMD) 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 demonstrate that the photovoltaic green facade has a positive effect on improving the emotional valence of experimental participants.

[0095] The eye movement data was processed using the eye movement tracking software配套 to the experimental instrument, and relevant eye movement indicators were used to measure the relationship between vision and the building facade, and it was plotted as Figure 6The chart shown illustrates this. There are six groups: Building Facade 1, Building Facade 2, Building Facade 3, Other Greenery 1, Other Greenery 2, and Sky. Analysis of eye-tracking data from different groups reveals significant differences in visual attention patterns between the experimental group (IVG) and the control group (C). Overall, all participants primarily focused their attention on Building Facade 1, but the experimental group showed significantly higher fixation percentage (FC%) and first fixation duration (FFD) for this area compared to the control group, indicating that the intervention effectively enhanced attentional engagement and early processing depth towards the primary target. Simultaneously, the experimental group generally showed a lower fixation percentage for the "Other Greenery" area. Notably, attention to the sky was almost negligible in groups IVG-2 and IVG-3. This inverse relationship suggests that while the intervention successfully guided attention to the core building facade, it may have also weakened attention to surrounding environmental elements, exhibiting a tendency towards focused attention. Subtle differences in data between the different experimental groups suggest that the intensity or method of intervention may produce varying degrees of effect.

[0096] Please see as follows Figure 7 The radar chart shown is generated based on the sensory evaluation data after viewing architectural models of the control group and different experimental groups. It includes participants' feelings in multiple aspects such as "pleasure, attractiveness, orderliness, richness, transparency, ecology, warmth, and integration." The radar chart shows that the control group (ordinary architectural design) did not provide a good experience in terms of emotional factors such as pleasure and attractiveness, as well as spatial atmosphere. Furthermore, it tended to give a monotonous and dull impression in terms of spatial atmosphere creation. In comparison, the experimental groups (IVG-1, IVG-2, IVG-3) performed more evenly across all aspects. IVG-2 showed significantly higher levels of pleasure and attractiveness compared to the other two designs, which is consistent with previous eye-tracking heatmap results. This indicates that people prefer horizontally placed photovoltaic panels and more regular greenery.

[0097] Then, based on the weight value, scoring ratio, target relative cost, and implementation feasibility score of each vertical greening scheme, the final score is obtained, as shown in the table below:

[0098] Group ES Relative ES score relative cost Cost Score (1 / Cost) feasibility Total Score C 2.05 0.62 1.0 (Baseline) 1 9 1.48 IVG-2 3.31 1.00 3.0 (Relatively 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 solely at emotional benefits, IVG-2 is the best. However, when cost and feasibility are factored in, its overall performance score is lowered due to its higher assumed costs. IVG-1, with its balanced performance (good emotional value, lower cost, and high feasibility), scores higher overall than IVG-2, making it the most cost-effective choice.

[0100] The apparatus for assessing the impact of vertical greening on emotions provided in the embodiments of this application will be described below. The apparatus for assessing the impact of vertical greening on emotions described below can be referred to in correspondence with the method for assessing the impact of vertical greening on emotions described above.

[0101] Please see Figure 8 The device 800 for assessing the impact of vertical greening on emotions includes: a first acquisition unit 801 for acquiring a target building model, the target building model corresponding to a vertical greening scheme; a second acquisition unit 802 for acquiring a first psychological scale score for each subject before viewing the target building model, eye movement parameters while viewing the target building model, and a second psychological scale score after viewing the target building model; a third acquisition unit 803 for acquiring an emotion change value based on the first psychological scale score and the second psychological scale score; and a scoring unit 804 for generating a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change value.

[0102] In one possible embodiment, before obtaining the emotion change value based on the first psychological scale score and the second psychological scale score, the third acquisition unit 803 is further configured to: acquire the score of each subject for each emotion category in the second psychological scale score; acquire the average score of all subjects for each emotion category in the second psychological scale score; determine multiple eye movement feature values ​​based on the eye movement parameters; determine the Pearson correlation coefficient between each emotion category and each eye movement feature value based on each eye movement feature value of each subject, the score of each emotion category, and the average score of each emotion category; and determine at least one target emotion category and at least one target eye movement feature value based on the Pearson correlation coefficient, wherein the at least one target emotion category and the at least one target eye movement feature value are correlated.

[0103] In one possible embodiment, in obtaining the emotion change value based on the first psychological scale score and the second psychological scale score, the third acquisition unit 803 is specifically configured to: classify the at least one target emotion into a positive emotion type and a negative emotion type; obtain the sum of a first emotion score for the positive emotion type and the sum of a second emotion score for the negative emotion type based on the first psychological scale score; obtain a first emotion disorder score based on the sum of the first emotion score and the sum of the second emotion score; obtain the sum of a third emotion score for the positive emotion type and the sum of a fourth emotion score for the negative emotion type based on the second psychological scale score; obtain a second emotion disorder score based on the sum of the third emotion score and the sum of the fourth emotion score; and obtain the emotion change value based on the first emotion disorder score and the second emotion disorder score.

[0104] In one possible embodiment, in generating a quantitative score of the emotional impact of the vertical greening scheme based on the eye-tracking parameters and the emotion change value, the scoring unit 804 is specifically configured to: obtain the visual attractiveness of the vertical greening scheme based on the eye-tracking parameters; determine the degree of emotional improvement of the vertical greening scheme based on the emotion change value; obtain the feeling evaluation data of each subject after viewing the target building model; determine the suitability of the vertical greening scheme based on the feeling evaluation data; and generate a quantitative score of the emotional impact based on the visual attractiveness, the degree of emotional improvement, and the suitability.

[0105] In one possible embodiment, in obtaining the visual appeal of the three-dimensional greening scheme based on the eye-tracking parameters, the scoring unit 804 is specifically configured to: obtain the gaze trajectory of each subject when viewing the target building model; obtain the average gaze duration, pupil diameter, and first gaze duration of each subject in each area of ​​the target building model; and obtain the visual appeal of the three-dimensional greening scheme based on the gaze trajectory, the average gaze duration, the pupil diameter, and the first gaze duration.

[0106] In one possible embodiment, the scoring unit 804 is further configured to: obtain a quantitative score of the impact of multiple vertical greening schemes on emotions; obtain a relative cost and implementation feasibility score for each of the multiple vertical greening schemes; and evaluate each vertical greening scheme based on the quantitative score, the relative cost, and the implementation feasibility score.

[0107] In one possible embodiment, in evaluating each vertical greening scheme based on the quantitative score, the relative cost, and the implementation feasibility score, the scoring unit 804 is specifically configured to: obtain the highest quantitative score among the quantitative scores of the impact of the plurality of vertical greening schemes on emotions; obtain the score ratio of the quantitative score of each vertical greening scheme to the highest quantitative score; normalize the relative cost to obtain a target relative cost; obtain the weight values ​​of the quantitative score, the relative cost, and the implementation feasibility score respectively; and evaluate each vertical greening scheme based on the weight values, the score ratio, the target relative cost, and the implementation feasibility score.

[0108] Please see Figure 9 , Figure 9 A schematic diagram of the physical structure of a communication device is provided. This communication device can be a terminal, a first network device, or a second network device. It may 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 communicate with each other via the communication bus 940. The processor 910 can call a computer program in the memory 930 to execute a method for evaluating the impact of vertical greening on emotions. This method includes: acquiring a target building model, the target building model corresponding to a vertical greening scheme; acquiring a first psychological scale score for each subject before viewing the target building model, eye movement parameters while viewing the target building model, and a second psychological scale score after viewing the target building model; obtaining an emotion change value based on the first psychological scale score and the second psychological scale score; and generating a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change value.

[0109] Furthermore, the logical instructions in the aforementioned memory 930 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0110] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method provided in the above embodiments for evaluating the impact of vertical greening on emotions. The method includes: acquiring a target building model, the target building model corresponding to a vertical greening scheme; acquiring a first psychological scale score for each subject before viewing the target building model, eye movement parameters while viewing the target building model, and a second psychological scale score after viewing the target building model; acquiring an emotion change value based on the first psychological scale score and the second psychological scale score; and generating a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change value.

[0111] On the other hand, embodiments of this application also provide a processor-readable storage medium storing a computer program. The computer program is used to cause a processor to execute the method provided in the above embodiments for evaluating the impact of vertical greening on emotions. The method includes: acquiring a target building model, the target building model corresponding to a vertical greening scheme; acquiring a first psychological scale score for each subject before viewing the target building model, eye-tracking parameters while viewing the target building model, and a second psychological scale score after viewing the target building model; obtaining an emotion change value based on the first psychological scale score and the second psychological scale score; and generating a quantitative score for the impact of the vertical greening scheme on emotions based on the eye-tracking parameters and the emotion change value.

[0112] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0113] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for assessing the impact of vertical greening on mood in buildings, characterized in that, include: Obtain a target building model, which corresponds to a vertical greening scheme; The scores of the first psychological scale for each subject before viewing the target building model, the eye movement parameters while viewing the target building model, and the scores of the second psychological scale after viewing the target building model were obtained respectively. The emotional change value is obtained based on the scores of the first psychological scale and the second psychological scale. A quantitative score of the impact of the vertical greening scheme on emotions is generated based on the eye movement parameters and the emotion change values.

2. The method according to claim 1, characterized in that, Before obtaining the emotion change value based on the first psychological scale score and the second psychological scale score, the method further includes: Obtain each subject's score for each emotion category in the second psychological scale; Obtain the average score of all subjects for each emotion category in the second psychological scale; Multiple eye movement feature values ​​are determined based on the eye movement parameters; Based on each eye movement feature value of each subject, the score of each emotion category, and the average score of each emotion category, the Pearson correlation coefficient between each emotion category and each eye movement feature value is determined; At least one target emotion category and at least one target eye-tracking feature value are determined based on the Pearson correlation coefficient, wherein the at least one target emotion category and the at least one target eye-tracking feature value are correlated.

3. The method according to claim 2, characterized in that, The step of obtaining the emotion change value based on the first psychological scale score and the second psychological scale score includes: The at least one target emotion is classified into positive emotion type and negative emotion type; The sum of the first emotion scores for the positive emotion type and the sum of the second emotion scores for the negative emotion type are obtained based on the scores of the first psychological scale. The first emotional disorder score is obtained by summing the first emotional score and summing the second emotional score. The sum of the third emotion scores for the positive emotion type and the sum of the fourth emotion scores for the negative emotion type are obtained based on the scores of the second psychological scale. The total score for the second emotional disorder is obtained by summing the third emotional score and summing the fourth emotional score. The emotional change value is obtained based on the first total score of emotional disturbance and the second total score of emotional disturbance.

4. The method according to claim 3, characterized in that, The step of generating a quantitative score for the impact of the vertical greening scheme on emotions based on the eye-tracking parameters and the emotion change values ​​includes: The visual appeal of the three-dimensional greening scheme is obtained based on the eye-tracking parameters; The degree of emotional improvement of the vertical greening scheme is determined based on the emotional change value. Obtain the evaluation data of each subject's feelings after viewing the target building model; The suitability of the vertical greening scheme is determined based on the aforementioned sensory evaluation data; A quantitative score of the impact on emotion is generated based on the visual attractiveness, the degree of mood improvement, and the suitability.

5. The method according to claim 4, characterized in that, The step of obtaining the visual appeal of the three-dimensional greening scheme based on the eye-tracking parameters includes: Acquire the gaze trajectory of each subject as they view the target building model; The average fixation duration, pupil diameter, and first fixation duration of each subject in each region of the target architectural model were obtained. The visual appeal of the three-dimensional greening scheme is obtained based on the gaze point trajectory, the average gaze duration, the pupil diameter, and the initial gaze duration.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Quantitative scores were obtained on the impact of multiple vertical greening schemes on emotions; Obtain the relative cost and feasibility score of each of the multiple vertical greening schemes; Each vertical greening scheme is evaluated based on the quantitative score, the relative cost, and the implementation feasibility score.

7. The method according to claim 6, characterized in that, The evaluation of each vertical greening scheme based on the quantitative score, the relative cost, and the implementation feasibility score includes: Obtain the highest quantitative score among the quantitative scores of the impact of the multiple vertical greening schemes on emotions; Obtain the ratio of the quantitative score of each vertical greening scheme to the highest quantitative score; The relative cost is normalized to obtain the target relative cost; The weight values ​​of the quantitative score, the relative cost, and the implementation feasibility score are obtained respectively. Each vertical greening scheme is evaluated based on the weight value, the score ratio, the target relative cost, and the implementation feasibility score.

8. A device for assessing the emotional impact of vertical greening in buildings, characterized in that, include: The first acquisition unit is used to acquire a target building model, wherein the target building model corresponds to a three-dimensional greening scheme. The second acquisition unit is used to acquire, respectively, the first psychological scale score of each subject before viewing the target building model, the eye movement parameters when viewing the target building model, and the second psychological scale score after viewing the target building model; The third acquisition unit is used to acquire the emotion change value based on the first psychological scale score and the second psychological scale score; The scoring unit is used to generate a quantitative score of the impact of the vertical greening scheme on emotions based on the eye movement parameters and the emotion change values.

9. An electronic device, characterized in that, The system includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor, when executing the computer program, implements the method for assessing the emotional impact of vertical greening of a building as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium, characterized in that, The system contains a computer program that, when executed by a processor, implements the method for assessing the emotional impact of vertical greening of a building as described in any one of claims 1-7.

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