Office environment control method and system

Abstract

To provide a method and a system for objectively obtaining effects of productivity improvement and health management and automatically controlling an office environment.SOLUTION: A system comprises a wearable device 201 that acquires vital data of a user 2 engaged in work in an office 1, and a main server 10 that controls at least part of the environment of the office, wherein the main server 10 estimates an emotion of the user 2 from the vital data using an emotion estimation model in which a plurality of emotions are arranged (103), and the environment of at least part of the office 1 is controlled so that the estimated emotion is included in a predetermined emotion area (104, 105), if the estimated emotion is not included in the predetermined emotion area that matches the work of the user 2 on the emotion estimation model.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an office environment control technology that takes into consideration the health and productivity of office users. [Background technology]

[0002] In recent years, with the decline in the working population, management that includes not only improving productivity but also managing the health of workers has been drawing increasing attention, and various office environment control systems have been proposed for this purpose. For example, Patent Document 1 discloses a system that calculates health management indicators based on employees' health data and work data.

[0003] Regarding employee health management, a health management support system has been proposed that uses vital data of employees and data on the surrounding environment to determine the health condition of employees (Patent Document 2). Regarding environmental control, a building management system has been proposed that enables temperature control or lighting control to suit the physical sensation of occupants by allowing occupants to request changes to temperature or lighting from their own terminals (Patent Document 3). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2019-185416 A [Patent Document 2] JP 2020-149150 A [Patent Document 3] JP 2019-207050 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, in the background art described above, the current situation is that users (employees or people present) control air conditioning and lighting individually, and the effects of introducing the system are understood subjectively through questionnaires, etc. In other words, these systems are premised on the user noticing and consciously acting, and since awareness of consciousness always lags behind changes in the body's condition, appropriate environmental control is difficult. Furthermore, systems that collect vital data and use it for health management only measure it, and when data indicating a feeling of fatigue or the like appears, the condition is notified to the worker, or it is merely used as a management index.

[0006] In short, in the above-mentioned background technology, either the system provides services to users in response to conscious requests from office users, or the system collects health data from users and uses it for management or user notification. Since there is no system configuration that provides feedback on the effects of productivity improvement and health management, it is not possible to efficiently improve productivity while taking health conditions into consideration.

[0007] SUMMARY OF THE PRESENT EMBODIMENT An object of the present invention is to provide a method and system for objectively obtaining the effects of improved productivity and health care and automatically controlling the office environment. [Means for solving the problem]

[0008] According to one aspect of the present invention, a system for controlling an office environment includes a vital data acquisition device that acquires vital data of a user engaged in work in the office, and a control device that controls an environment of at least a part of the office, the control device infers an emotion of the user from the vital data using an emotion estimation model in which a plurality of emotions are arranged, and the estimated emotion is Prescribed If the vital data is included in the emotional domain, the environment of at least a part of the office can be controlled in a direction that improves the user's work productivity based on a predetermined model that shows the relationship between the vital data and productivity. According to one aspect of the present invention, the control device can determine whether the estimated emotion is suitable for the user's task based on a plurality of emotion areas into which the plurality of emotions are classified according to task type. According to one aspect of the present invention, the user's emotion can be estimated from data regarding the user's pulse rate included in the vital data. According to one aspect of the present invention, the emotion estimation model can use a Russell Circumference Model in which the multiple emotions are arranged using arousal and pleasantness as indices. According to one aspect of the present invention, there is provided a method for controlling an office environment, the method comprising: a vital data acquisition device acquires vital data of a user engaged in work in the office; a control device estimates an emotion of the user from the vital data using an emotion estimation model in which a plurality of emotions are arranged; and Prescribed If the vital data is included in the emotional domain, the environment of at least a part of the office can be controlled in a direction that improves the user's work productivity based on a predetermined model that shows the relationship between the vital data and productivity. According to one aspect of the present invention, the control device can determine whether the estimated emotion is suitable for the user's task based on a plurality of emotion areas into which the plurality of emotions are classified according to task type. According to one aspect of the present invention, there is provided an apparatus for controlling an environment of an office, the apparatus comprising: an interface for network connection to a vital data acquisition device that acquires vital data of a user engaged in work in the office; and a processor for controlling an environment of at least a part of the office, the processor inferring an emotion of the user from the vital data of the user received from the vital data acquisition device using an emotion inference model in which a plurality of emotions are arranged, and the estimated emotion is Prescribed If the vital data is included in the emotional domain of the user, the environment of at least a part of the office is controlled in a direction that improves the productivity of the user's work based on a predetermined model that shows the relationship between the vital data and productivity. According to one aspect of the present invention, there is provided a program for causing a computer to function as a device for controlling an office environment, the program comprising: a function for acquiring vital data of a user engaged in work in the office from a vital data acquisition device; a function for estimating an emotion of the user from the vital data of the user using an emotion estimation model in which a plurality of emotions are arranged; and a function for calculating an emotion of the user based on the estimated emotion. Prescribed and if the vital data is included in the emotional domain of the user, a function of controlling the environment of at least a part of the office in a direction that improves the productivity of the user's work based on a predetermined model that shows the relationship between the vital data and productivity is realized in the computer. Effect of the Invention

[0009] The office environment control system according to one aspect of the present invention can quantitatively estimate the user's emotions to provide feedback on the effects of the environment control, and can automatically optimize the work environment based on quantitative data. In other words, the entire or part of the office space can be optimized for each type of work while grasping the user's health condition, and productivity can be improved while taking into consideration the user's health condition. According to one aspect of the present invention, by using a plurality of emotion areas in which a plurality of emotions are classified according to the type of task, it is possible to easily determine whether or not a user's emotion is suitable for the task on an emotion estimation model. According to one aspect of the present invention, pulse rate data is used to estimate emotions, so that necessary vital data can be easily obtained, for example, from the user's wrist. According to one aspect of the present invention, by using a Russell circle model in which emotions are arranged on a plane, it becomes easy to classify emotional areas, and it is easy to determine whether the user's estimated emotions are appropriate for work. The method for controlling the office environment according to one aspect of the present invention can quantitatively estimate the user's emotions to provide feedback on the effect of the environmental control, and can automatically optimize the work environment based on quantitative data. In other words, the entire or part of the office space can be optimized for each type of work while grasping the user's health condition, and productivity can be improved while taking into consideration the user's health condition. The office environment control device according to one aspect of the present invention can be connected to other devices such as a vital data acquisition device through a network, and can quantitatively estimate the user's emotions and feed back the effects of the environmental control to automatically optimize the work environment based on the quantitative data. In other words, the entire or part of the office space can be optimized for each type of work while grasping the user's health condition, thereby achieving improved productivity that takes the user's health condition into consideration. A program according to one aspect of the present invention can cause a computer to function as an office environment control device, and a general-purpose server or the like can be configured as the office environment control device of the present invention. This makes it possible to quantitatively estimate the user's emotions and feed back the effects of environmental control, thereby automatically optimizing the work environment based on quantitative data. In other words, the entire or part of the office space can be optimized for each type of work while grasping the user's health condition, thereby achieving productivity improvement that takes the user's health condition into consideration. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a block diagram showing a schematic overall configuration of an office environment control system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram showing a detailed functional configuration of the main server in the office environment control system according to this embodiment. [Diagram 3] FIG. 3 is a schematic diagram showing an example of mapping of vital data to an emotion estimation model in this embodiment. [Figure 4]FIG. 4 is a schematic diagram showing an example of mapping of intellectual activity to an emotion estimation model in this embodiment. [Diagram 5] FIG. 5 is a schematic diagram showing an example of the intellectual activity-environmental performance causal model used in this embodiment. [Figure 6] FIG. 6 is a schematic diagram showing an example of the relationship between the awakening level and the productivity used in this embodiment. [Figure 7] FIG. 7 is a flowchart showing the office environment control method according to the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. However, the components described in the following embodiments are merely examples, and are not intended to limit the technical scope of the present invention.

[0012] 1. System Configuration As shown in the example of Figure 1, one or more users 2 are engaged in work as workers, employees or office workers in an office space 1 in a building, and the lighting, temperature, humidity and sound in the office space 1 can be adjusted by environmental equipment 3. The environmental equipment 3 is made up of lighting equipment LC, air conditioning equipment AC and sound equipment SC, etc., and may be capable of adjusting not only the environment of the entire office space 1, but also that of a part of the office space 1 or the environment of an individual user.

[0013] A vital data acquisition device is provided near the user 2 or worn by the user 2 himself to acquire vital data (biological information) of the user 2. As exemplified in this embodiment, an example of the vital data acquisition device is a wearable device 201. That is, when the user 2 wears the wearable device 201, the wearable device 201 can acquire the user's own vital data. In addition, a plurality of environmental sensors 202 are provided around the user 2, and environmental data such as the temperature and brightness around the user is acquired.

[0014] One or more parent units 4 of measuring equipment are installed in the office space 1, and the parent units 4 are connected to the wearable device 201, the environmental sensor 202, and the environmental equipment 3 via wireless LAN or the like. The parent units 4 of measuring equipment are connected to an edge server 5, and the edge server 5 receives vital data and environmental data through the parent units 4, and transmits the data to a main server 10 via an intra-building network. The main server 10 is a control device that executes the office environment control according to this embodiment, as described later. The building management server 11 controls the lighting equipment LC, the air conditioning equipment AC, and / or the audio equipment SC of the environmental equipment 3 according to instructions from the main server 10. The edge server 5 may control the lighting equipment LC, the air conditioning equipment AC, and / or the audio equipment SC of the environmental equipment 3 according to instructions from the main server 10 or the building management server 11.

[0015] Vital data includes facial color, heart rate, heart rate variability, LF / HF value of heart rate variability, RR interval (RRI), pulse wave, pulse rate variability, brain wave, respiratory rate, respiratory volume, blood flow, blood flow variability, blood pressure, blood pressure variability, oxygen saturation, body temperature, and skin temperature. As will be described later, it is desirable to have data that allows for emotion estimation and is as easy to measure as possible.

[0016] The wearable device 201 is preferably one that does not cause stress to the user 2, for example, a wristwatch type or a glasses type. In particular, various wristwatch type wearable devices 201 are commercially available, and can acquire vital data such as the heart rate, pulse measurement, and activity level of the user 2. Furthermore, a glasses type wearable device 201 can detect the movement of the user's eyeballs and body to measure the concentration and drowsiness of the user. Furthermore, a clothing type wearable device 201 can measure vital data such as the heart rate and respiratory rate. In this embodiment, a wristwatch type wearable device 201 that can measure the pulse and pulse wave that can estimate emotions, which will be described later, is adopted, but a glasses type or a clothing type wearable device may be used, or a combination of these may be used.

[0017] As illustrated in FIG. 2, vital data of a user 2 acquired by a wearable device 201 and environmental data acquired by an environmental sensor 202 are transmitted to a main server 10 via a parent measuring device 4 and an edge server 5 .

[0018] The main server 10, which acts as a control device for controlling the office environment, is composed of a computer equipped with a CPU (Central Processing Unit), and constitutes an intra-building network together with the edge server 5 and the building management server 11. The main server 10, the edge server 5, and the building management server 11 are equipped with an interface (not shown) that enables network communication. The functions realized by the main server 10 are as follows.

[0019] The data collection unit 101 collects vital data and environmental data from the edge server 5 and outputs them to the data analysis unit 102. The data analysis unit 102 analyzes the vital data, and if there is no abnormality, outputs components that can be used to estimate emotions to the emotion estimation unit 103, as described below. The emotion estimation unit 103 estimates emotions indicated by the vital data based on a predetermined emotion estimation model. In this embodiment, the Russell Circumplex model, the validity of which has been verified in many studies, is used as the emotion estimation model.

[0020] The determination unit 104 classifies emotion groups of the emotion estimation model into areas suitable for each type of work, as described below, and determines whether the estimated emotion of the user 2 falls within the area suitable for the work of the user 2. The optimization control unit 105 controls the building management server 11 based on the determination result of the determination unit 104, a causal model 106 between a predetermined intellectual activity and the environment, and the past vital data of the user 2, and adjusts the environmental equipment 3 so that the environment of the user 2 is optimal for the user 2. Details will be described later. The past vital data of the user 2 is stored in the vital data storage unit 107 from the data analysis unit 102.

[0021] Each function of the data collection unit 101, the data analysis unit 102, the emotion estimation unit 103, the determination unit 104, and the optimization control unit 105 can be realized by executing a program read from a program memory 109 on a processor 108.

[0022] 2. Mapping to emotion estimation model As illustrated in FIG. 3, the emotion estimation unit 103 estimates the emotion indicated by the vital data based on the Russell Circumference Model. The Russell Circumference Model arranges various emotions felt by a person on a plane with the degree of arousal (arousal level) on the Y axis (vertical axis) and the degree of pleasantness or unpleasantness (comfort level) on the X axis (horizontal axis). The emotion of the user can be estimated by detecting the arousal level and comfort level from the vital data of the user 2, particularly data related to the pulse rate, and mapping the detected arousal level and comfort level to the Russell Circumference Model. The arousal level and comfort level can be detected from the vital data by various methods.

[0023] As an example, the HF (High Frequency) component of the pulse can be used as an index of alertness. HF is the magnitude of the high frequency component obtained by frequency analysis of the pulse interval. The HF value is generally known to be correlated with the activity of the parasympathetic nerves, and indicates a high value when relaxed. In this embodiment, the HF value of the pulse is used as an index of alertness on the Y-axis.

[0024] The comfort level can also be calculated using data on the pulse rate. It is known that when the average skin temperature rises, the heart rate increases, and the heart rate interval and its variance tend to become smaller as the temperature and humidity increase, and that high temperatures and humidity are associated with biological reactions similar to those observed when the subject is under mental stress. In addition, according to Yuhei Ikeda's "Supporting awareness by visualizing emotions using biological information" (Information Processing Society of Japan Interaction 2017, pp. 634-637), it is proposed to use pNN50 calculated from the pulse rate as an index for the horizontal axis (comfort level) of the Russell circle model. In this embodiment, the pulse rate is used as an index for comfort level on the X-axis.

[0025] The data analysis unit 102 calculates the HF value as the arousal level and the pulse rate as the comfort level from the pulse rate or pulse wave, which is vital data of the user 2. The emotion estimation unit 103 estimates the emotion of the user 2 by mapping the calculated arousal level and comfort level to a Russell circle model. Note that the vital data is not limited to the pulse wave. As long as it is vital data from which emotions can be estimated, the above-mentioned voice, face image, blood oxygen concentration, blood pressure, body temperature, etc. may be used, and emotion estimation may be performed by combining these.

[0026] 3. Compliance assessment In this embodiment, the determination unit 104 classifies the Russell circle model into three emotion regions (i.e. emotion groups), and performs the suitability determination depending on which emotion region the estimated emotion of the user 2 falls into. Hereinafter, a description will be given with reference to Figs. 4 and 5.

[0027] As shown in FIG. 4, the plane consisting of the X-axis (comfort level) and Y-axis (arousal level) of the Russell Circle Model is divided into an administrative compatible area 301 in the first quadrant, a creative compatible area 302 in the fourth quadrant, and an unsuitable area 303 in the second and third quadrants. Here, as an example, the tasks are classified into administrative and creative tasks, but they can be further classified. In any case, if the comfort level is low, that is, if the task is mapped to unpleasant emotions, the efficiency of the task decreases, so the emotional areas in the second and third quadrants are unsuitable areas 303. Among the emotional areas with high comfort levels, the one with high arousal level is the administrative compatible area 301, and the one with low arousal level is the creative compatible area 302. This is because administrative tasks 401 involve a lot of tasks in the first layer (information processing) and second layer (knowledge processing) that require increased attention to memorize and calculate. In addition, creative tasks 402 involve tasks in the third layer (knowledge creation), such as analysis, synthesis, recall, and inspiration. However, this classification is just one example, and classification from other perspectives is also possible.

[0028] The determination unit 104 determines that the estimated emotion of a user engaged in an office-related task is suitable if it is in the office-related suitable area 301 on the Russell Circle Model, but determines that the estimated emotion is unsuitable if it is in the unsuitable area 303 or the creative suitable area 302 on the Russell Circle Model. If it is determined that the estimated emotion is unsuitable, the optimization control unit 105 controls the environment (temperature, humidity, lighting, etc.) so that the estimated emotion of the user moves to the office-related suitable area 301 on the Russell Circle Model, as described later. Similarly, if the estimated emotion of a user engaged in a creative task is in the creative suitable area 302 on the Russell Circle Model, it is determined that the estimated emotion is suitable, but if it is in the unsuitable area 303 or the office-related suitable area 301, it is determined that the estimated emotion is unsuitable. If it is determined that the estimated emotion is unsuitable, the optimization control unit 105 controls the environment (temperature, humidity, lighting, etc.) so that the estimated emotion of the user moves to the creative suitable area 302 on the Russell Circle Model, as described later.

[0029] 4 is merely an example, and in this embodiment, the emotion area of ​​the Russell Circle model can be divided differently and the judgment unit 104 can make a judgment. The hierarchy and task classification of intellectual activities in the clerical work 401 and creative work 402 are part of the causal network of intellectual activities and environmental performance illustrated in FIG. 5, and are exemplified by those described in the 2009 Intellectual Productivity Research Committee Report of the Ministry of Land, Infrastructure, Transport and Tourism.

[0030] 4. Optimal Control As illustrated in FIG. 5, it is known that intellectual activities in clerical work 401 and creative work 402 are influenced by various environmental conditions through human reactions. Therefore, the conditions suitable for the hierarchy or work contents of the intellectual activities of the user 2 can be controlled based on past accumulated data by changing the thermal environment and air environment by air conditioning, the light environment by lighting, and the sound environment by acoustics. When the optimization control unit 105 determines that the estimated emotion of the user is incompatible, it controls the environmental equipment 3 based on the causal model 106 of intellectual activities and environmental performance and the past vital data of the user 2, and adjusts the estimated emotion of the user 2 so that it falls within the area suitable for the user 2 on the Russell circle model. The specific method of adjusting the environmental equipment 3 may be determined by reflecting the past vital data of the user 2.

[0031] Furthermore, it is desirable that the optimum control unit 105 takes into consideration the relationship between alertness and productivity, particularly in clerical work 401, and controls the environmental equipment 3 based on a causal model 106 of intellectual activity and environmental performance and past vital data of the user 2. The Yerkes-Dodson law is known as a model that shows the relationship between alertness and productivity in clerical work.

[0032] As shown in Figure 6, according to the Yerkes-Dodson Law, when arousal exceeds a certain amount Aoptimal, which is the optimal level, productivity tends to decrease. Normally, as arousal increases, productivity also tends to increase, but when arousal exceeds the moderate level due to strong emotions, productivity decreases. Therefore, in particular in clerical work 401, productivity can be further improved by adjusting the environmental facilities 3 in consideration of the Yerkes-Dodson Law.

[0033] 5.Office Climate Control Hereinafter, the operation of the processor 108 in the office environment control system according to the present embodiment will be described with reference to FIG.

[0034] 7, when the processor 108 collects vital data and environmental data of the user 2 from the edge server 5 (operation 501), it judges whether or not there is an abnormality in the vital data or the environmental data that is serious enough to cause a problem in carrying out the work (operation 502). If there is no abnormality (NO in operation 502), the processor 108 analyzes the vital data to detect components that can be used for emotion estimation, and estimates the emotion indicated by the vital data of the user 2 by using the components and the emotion estimation model (operation 503). In one example of this embodiment, as described in FIG. 3, emotion estimation is performed by detecting the HF value and pulse rate from the vital data and mapping them to the Russell circle model as arousal level and comfort level.

[0035] Next, the processor 108 determines which of the pre-classified emotion areas the estimated emotion of the user 2 belongs to (operation 504). In one example of this embodiment, it is determined whether the estimated emotion falls into the clerical suitability area 301, the creative suitability area 302, or the unsuitable area 303 shown in FIG. 4. Next, the processor 108 determines whether the determined emotion area matches the type of work of the user 2 (operation 505). In one example of this embodiment, it is determined whether the work of the user 2 falls into the clerical suitability area 301 if the work of the user 2 is clerical, and whether the work falls into the creative suitability area 302 if the work of the user 2 is creative, as described in FIG. 4.

[0036] If the determined emotion area does not match the type of work of the user 2 (NO in operation 505), the processor 108 controls the environmental equipment 3 through the building management server 11 based on the relationship between intellectual activity and the environment and the past accumulated data of the user 2, and changes the office space 1 or the environment around the user 2 (temperature, humidity, lighting, sound, etc.) in a direction that matches the emotion area of ​​the user 2 with the type of work (operation 506). If the control is not completed (NO in operation 508), the processor 108 repeats operations 501 to 506 until the determined emotion area matches the type of work of the user 2. It is preferable that the amount of change in the environment (temperature, humidity, lighting, sound, etc.) per time is not so large that the user notices it.

[0037] If the determined emotional area matches the type of work of the user 2 (YES in operation 505), the processor 108 controls the environmental equipment 3 through the building management server 11 so as to maximize productivity in the emotional area of ​​the matched work (operation 507). In particular, in the case of clerical work 401, since the relationship between alertness and productivity, as illustrated in Fig. 6, is known, it is desirable to control the environmental equipment 3 so that alertness is in the optimal range.

[0038] If an abnormality is detected in operation 502 (YES in operation 502), the processor 108 issues an alert, notifies the user 2 and the system administrator of the abnormality detection (operation 509), and can terminate control if necessary (YES in operation 508). If the vital data of user 2 is outside the normal range, the user 2 may be notified individually, or the administrator of the relevant work may be notified. Furthermore, if the environmental data indicates an abnormality, appropriate measures such as issuing an alert or notifying the system administrator can be taken depending on the urgency.

[0039] 6.Effects As described above, according to this embodiment, the effect of environmental control can be fed back by quantitatively grasping the emotions of each user, and the optimization of the work environment based on quantitative data can be automatically realized. That is, the whole or part of the office space, or the environment of each user, can be optimized for each type of work while grasping the health condition of the user, and productivity improvement that takes into consideration the health condition of the user can be achieved. [Industrial Applicability]

[0040] The present invention is generally applicable to systems for controlling the environment of an office. [Explanation of symbols]

[0041] 1. Office Space 2. Users 3 Environmental equipment 4. Master unit of measuring equipment 5 Edge Server 10 Main Server 11 Building Management Server 101 Data Collection Department 102 Data Analysis Department 103 Emotion estimation part 104 Judgment section 105 Optimal Control Unit 106 Intellectual Activity-Environmental Performance Causal Model 107 Vital Data Storage Unit 108 processors 109 Program Memory 201 Wearable Devices 202 Environmental Sensor

Claims

1. A system for controlling an office environment, comprising: A vital data acquisition device that acquires vital data of a user who is engaged in work in the office; A control device for controlling an environment of at least a part of the office; Equipped with The control device includes: Estimating the emotion of the user from the vital data using an emotion estimation model in which a plurality of emotions are arranged; If the estimated emotion is included in a predetermined emotion area, an environment of at least a part of the office is controlled in a direction to improve the productivity of the user's work based on a predetermined model indicating a relationship between the vital data and productivity. An office environment control system comprising:

2. 2. The office environment control system according to claim 1, wherein the control device determines whether the estimated emotion is suitable for the user's work based on a plurality of emotion areas into which the plurality of emotions are classified according to the type of work.

3. 3. The office environment control system according to claim 1, wherein the user's emotion is estimated from data related to the user's pulse rate included in the vital data.

4. 3. The office environment control system according to claim 1, wherein the emotion estimation model is a Russell Circumplex model in which the emotions are arranged using arousal and comfort levels as indices.

5. 1. A method for controlling an office environment, comprising: a vital data acquisition device acquires vital data of a user who is engaged in work in the office; The control device, Estimating the emotion of the user from the vital data using an emotion estimation model in which a plurality of emotions are arranged; If the estimated emotion is included in a predetermined emotion area, an environment of at least a part of the office is controlled in a direction to improve the productivity of the user's work based on a predetermined model indicating a relationship between the vital data and productivity.

13. An office environment control method comprising:

6. 6. The office environment control method according to claim 5, wherein the control device determines whether the estimated emotion is suitable for the user's work based on a plurality of emotion areas into which the plurality of emotions are classified according to the type of work.

7. An apparatus for controlling an office environment, comprising: an interface for network connection to a vital data acquisition device that acquires vital data of users working in the office; a processor for controlling an environment of at least a portion of the office; It consists of: The processor, Estimating an emotion of the user from the vital data of the user received from the vital data acquisition device using an emotion estimation model in which a plurality of emotions are arranged; If the estimated emotion is included in a predetermined emotion area, an environment of at least a part of the office is controlled in a direction to improve the productivity of the user's work based on a predetermined model indicating a relationship between the vital data and productivity. An office environment control device comprising:

8. A program for causing a computer to function as a device for controlling an office environment, comprising: A function of acquiring vital data of a user who is engaged in work in the office from a vital data acquisition device; A function of estimating an emotion of the user using an emotion estimation model in which a plurality of emotions are arranged based on the vital data of the user; a function of controlling an environment of at least a part of the office in a direction that improves the productivity of the user's work based on a predetermined model showing a relationship between the vital data and productivity when the estimated emotion is included in a predetermined emotion area; A program for causing the computer to execute the above.

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