Personnel evaluation device, personnel evaluation program, and personnel evaluation system

Abstract

To provide a personnel evaluation device capable of more appropriately evaluating personnel affairs.SOLUTION: A personnel evaluation device (Internet service company server 2) comprises: an evaluation information acquisition unit (interface and CPU of Internet service company server 2) which acquires evaluation information for evaluating a person being evaluated, the information including at least any information of the object person's speech, behavior, and facial expressions acquired by an imaging camera (video cameras 5-1, 5-2, ..., 5-n) and / or an audio collection device; a behavior evaluation unit 7 which evaluates the behavior of the person being evaluated in accordance with evaluation items on the basis of the evaluation information acquired by the evaluation information acquisition unit; and a personnel evaluation unit 8 which subjects the person being evaluated to personnel evaluation on the basis of the behavior evaluation conducted by the behavior evaluation unit 7 over a predetermined period.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a personnel evaluation device, a personnel evaluation program, and a personnel evaluation system for evaluating individuals.

Background Art

[0002] Conventionally, in store management, importance has been attached to how to satisfy customers and increase the repeat visit rate. For example, in the service industry, the response of the staff who actually serves customers is an important factor in determining whether customers will visit again.

[0003] In view of such points, for example, in Patent Document 1, individual sales data is acquired from a POS register, face image data for customer service is acquired from a camera, the expression of a store clerk during customer service is specified from the face image data corresponding to the customer service time zone included in the individual sales data, and a customer service response point indicating an evaluation value of the response during customer service is calculated according to the expression. A customer service response evaluation device has been proposed.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] Since the customer service response evaluation device described in Patent Document 1 calculates the customer service response point from the face image data corresponding to the customer service time zone, the period for performing personnel evaluation is limited, and it cannot be said that the personnel evaluation is sufficiently fair.

[0006] The present invention has been made in view of the above situation, and an object thereof is to provide a personnel evaluation device, a personnel evaluation program, and a personnel evaluation system capable of performing more appropriate personnel evaluation.

Means for Solving the Problems

[0007] The personnel evaluation device according to the invention of claim 1 includes an evaluation information acquisition unit that acquires evaluation information for evaluating an evaluatee including at least any information on the speech, actions, attitudes, and expressions of the subject person acquired by an imaging camera and / or a sound collection device, an action evaluation unit that performs an action evaluation on the evaluatee in accordance with evaluation items based on the evaluation information acquired by the evaluation information acquisition unit, and a personnel evaluation unit that performs a personnel evaluation on the evaluatee based on the action evaluation performed by the action evaluation unit over a predetermined period.

[0008] The personnel evaluation device according to the invention of claim 2 is such that the action evaluation is performed by being calculated as a score for each of the evaluation items.

[0009] The personnel evaluation device according to the invention of claim 3 is such that the personnel evaluation unit calculates the amount of remuneration received by the evaluatee based on the score.

[0010] The personnel evaluation device according to the invention of claim 4 is such that the action evaluation unit performs the action evaluation on a plurality of the evaluatees in accordance with the evaluation items, and the personnel evaluation unit calculates the respective amounts of remuneration received by the plurality of the evaluatees based on the scores calculated in the action evaluation on the plurality of the evaluatees performed by the action evaluation unit.

[0011] The personnel evaluation device according to the invention of claim 5 is such that the action evaluation unit performs the action evaluation on a plurality of the evaluatees in accordance with a plurality of the evaluation items, and the personnel evaluation unit adds action evaluation identification information, which is information capable of identifying the action evaluations that do not meet a predetermined criterion or meet the predetermined criterion, among the action evaluations on the plurality of the evaluatees in the plurality of the evaluation items performed by the action evaluation unit.

[0012] The personnel evaluation program of the invention according to claim 6 causes a computer to function as an evaluation information acquisition unit that acquires evaluation information for evaluating an evaluatee including at least any information on the speech, behavior, and expression of the subject person acquired by an imaging camera and / or a sound collection device, an action evaluation unit that performs an action evaluation on the evaluatee in accordance with evaluation items based on the evaluation information acquired by the evaluation information acquisition unit, and a personnel evaluation unit that performs a personnel evaluation on the evaluatee based on the action evaluation performed by the action evaluation unit over a predetermined period.

[0013] The personnel evaluation system of the invention according to claim 7 includes a plurality of imaging cameras arranged in a restaurant, an action evaluation unit, and a personnel evaluation unit. The action evaluation unit performs an action evaluation on an evaluatee working in the restaurant by artificial intelligence based on information on the speech and behavior of the evaluatee from the imaging cameras. The personnel evaluation unit performs a personnel evaluation on an evaluatee working in the restaurant by artificial intelligence based on the evaluation results of all the action evaluation units during the period for which the personnel evaluation is performed.

[0014] In the personnel evaluation system of the invention according to claim 8, the action evaluation unit performs an action evaluation based on the speech and subsequent behavior of teaching between an evaluatee and another evaluatee, or the speech and subsequent behavior of being taught between an evaluatee and another evaluatee.

[0015] In the personnel evaluation system of the invention according to claim 9, the action evaluation unit performs an action evaluation based not only on the speech and behavior of the evaluatee but also on the speech and behavior of the customers visited by the evaluatee.

[0016] In the personnel evaluation system of the invention according to claim 10, the personnel evaluation unit performs the same evaluation regardless of the proximity in time to the time of performing the personnel evaluation during the evaluation target period.

[0017] In the personnel evaluation system of the invention according to claim 11, the personnel evaluation unit performs the same evaluation regardless of the proximity in time to the time of performing the personnel evaluation during the evaluation target period, and if there is a tendency to improve or deteriorate, makes a correction based on that.

[0018] The personnel evaluation system of the invention according to claim 12 includes a plurality of imaging cameras arranged in any workplace of the accommodation industry, the food and beverage service industry, and the service industry, a behavior evaluation unit, and a personnel evaluation unit. The behavior evaluation unit performs a behavior evaluation of an evaluated person working in the workplace by artificial intelligence based on the information of the evaluated person from the imaging camera. The personnel evaluation unit performs a personnel evaluation of the evaluated person working in the workplace by artificial intelligence based on the evaluation results of all the behavior evaluation units during the period of performing the personnel evaluation.

Effect of the Invention

[0019] The personnel evaluation system in the present invention can perform more appropriate personnel evaluations.

Brief Description of the Drawings

[0020]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

[0021] [Embodiment of the Present Invention] Hereinafter, with reference to FIGS. 1 to 5, embodiments of the present invention will be described in detail. The embodiments of the present invention introduce a personnel evaluation system that discriminates changes in a person's face, voice, and body movements obtained from a surveillance camera by artificial intelligence (AI), and automatically determines the labor value by artificial intelligence.

[0022] [Configuration of the Embodiment] Figure 1 is a block diagram showing the schematic configuration of a personnel evaluation system according to an embodiment of the present invention. Figure 2 is an explanatory diagram showing a restaurant where a personnel evaluation system according to an embodiment of the present invention is introduced. Figure 3 is a first flowchart showing the processing of a personnel evaluation system according to an embodiment of the present invention. Figure 4 is a second flowchart showing the processing of a personnel evaluation system according to an embodiment of the present invention. Figure 5 is a table showing the action evaluation of a personnel evaluation system according to an embodiment of the present invention. Figure 5(a) shows the action evaluation of a cook, Figure 5(b) shows the action evaluation of a customer service staff, and Figure 5(c) shows the action evaluation of a construction site worker.

[0023] As shown in Figure 1, the personnel evaluation system 1 of the present embodiment includes an Internet service company server 2 that provides services of the personnel evaluation system via the Internet, the Internet 3, restaurant terminals 4-1, 4-2, 4-3... 4-m installed in restaurants that use the personnel evaluation system, a plurality of video cameras 5-1, 5-2... 5-n respectively connected to the restaurant terminals 4-1, 4-2, 4-3... 4-m, and a smell sensor 6.

[0024] The Internet service company server 2 has a personnel evaluation program and, according to the contract with each restaurant, transmits data including a check sheet for personnel evaluation to the restaurant terminals 4-1, 4-2, 4-3... 4-m of each restaurant using a web page.

[0025] A plurality of video cameras 5-1, 5-2... 5-n respectively connected to the restaurant terminals 4-1, 4-2, 4-3... 4-m and the smell sensor 6 are connected to the Internet service company server 2 via the restaurant terminals 4-1, 4-2, 4-3... 4-m and further via the Internet 3.

[0026] The Internet service company server 2 has an action evaluation unit 7 and a personnel evaluation unit 8.

[0027] The action evaluation unit 7 performs an action evaluation of the evaluatee working in the restaurant by artificial intelligence based on information from a plurality of video cameras 5-1, 5-2, …, 5-n and the smell sensor 6.

[0028] The personnel evaluation unit 8 performs a personnel evaluation of the evaluatee working in the restaurant by artificial intelligence based on all the evaluation results of the action evaluation unit 8 during the period when the personnel evaluation is performed.

[0029] In FIG. 2, on the roof 11 of the restaurant 10, lighting fixtures 12, a plurality of video cameras 6-1, 6-2, …, 6-n, and a smell sensor 7 are attached.

[0030] Inside the restaurant 10, a plurality of tables 13-1, 13-2, … for customers, a plurality of chairs 14-1, 14-2, … for customers, a counter 15, and desks 17 are arranged.

[0031] Inside the counter 15, various cooking utensils 16-1, 16-2, … are arranged, and a register 18 is arranged on the desk 17.

[0032] In the backyard of the restaurant 10, a restaurant terminal 4-1 is arranged. The restaurant terminal 4-1 can be used by a manager or a president to view information such as personnel evaluation results and countermeasures.

[0033] Inside the restaurant 10, there are a clerk 21 in charge of customer service, a clerk 22 in charge of cooking, and a customer 23. Note that there may be other people not shown in the figure, such as a delivery person from a supplier or a cleaner from a cleaning company, inside the restaurant 10.

[0034] The clerk 21 in charge of customer service, the clerk 22 in charge of cooking, and the customer 23 are photographed by a plurality of video cameras 5-1, 5-2, …, 5-n, and voices such as conversations are recorded. The smell inside the restaurant 10 is detected by the smell sensor 6.

[0035] <Processing of the personnel evaluation system 1> Next, the operation evaluation unit 7 of the Internet service company server 2, the personnel evaluation unit 8, and the data exchange between the restaurant terminal will be described using the flowcharts of FIGS. 3 and 4.

[0036] In FIGS. 3 and 4, one of the restaurant terminals 4-1, 4-2, 4-3…4-n… will be described as the restaurant terminal.

[0037] As shown in FIG. 3, in step S1, the restaurant terminal acquires the video and audio data of a plurality of video cameras 5-1, 5-2…, 5-n arranged inside the restaurant 10.

[0038] Next, in step S2, the restaurant terminal transmits the acquired video and audio data to the operation evaluation unit 7 via the Internet.

[0039] As a result, in step S3, the operation evaluation unit 7 receives the video and audio data from the restaurant terminal, in step S4, analyzes the in-store video and audio data with artificial intelligence (AI), in step S5, evaluates the actions of the store staff (the clerk 21 in charge of customer service and the clerk 22 in charge of cooking) with artificial intelligence (AI), and in step S6, transmits the data of the action evaluation results of the store staff based on the in-store video and audio to the personnel evaluation unit 8.

[0040] As a result, in step S7, the personnel evaluation unit 8 receives the data of the action evaluation results of the store staff based on the in-store video and audio from the operation evaluation unit 7, and in step S8, stores the data of the action evaluation results based on the received in-store video and audio in the database.

[0041] Next, in step S9, the restaurant terminal acquires the in-store smell data detected by the smell sensor 6 arranged inside the restaurant 10.

[0042] Next, in step S10, the restaurant terminal transmits the acquired smell data to the operation evaluation unit 7 via the Internet.

[0043] As a result, in step S11, the behavior evaluation unit 7 receives the odor data from the food service terminal, in step S12, analyzes the in-store odor data with artificial intelligence (AI), in step S13, conducts a behavior evaluation of the store staff (the clerk 21 in charge of customer service and the clerk 22 in charge of cooking) with artificial intelligence (AI), and in step S14, transmits the data of the behavior evaluation result of the store staff based on the in-store odor to the personnel evaluation unit 8.

[0044] As a result, in step S15, the personnel evaluation unit 8 receives the data of the behavior evaluation result of the store staff based on the odor from the behavior evaluation unit 7, and in step S16, stores the data of the behavior evaluation result based on the received in-store odor in the database.

[0045] Next, in step S17, the personnel evaluation unit 8 determines whether or not all the periods for conducting the personnel evaluation have ended. If all the periods for conducting the personnel evaluation (evaluation target periods) have not ended, the process returns to step S1. If all the periods for conducting the personnel evaluation have ended, the process proceeds to step S18.

[0046] As shown in FIG. 4, in step S18, the personnel evaluation unit 8 analyzes with artificial intelligence (AI) the data of the behavior evaluation result based on the in-store video and audio and the data of the behavior evaluation result based on the in-store odor for all the periods for which the personnel evaluation is stored in the database. In step S19, the personnel evaluation result of the store staff (the clerk 21 in charge of customer service and the clerk 22 in charge of cooking) is created. In step S20, a countermeasure corresponding to the personnel evaluation result is created. In step S21, the data of the personnel evaluation result and the countermeasure are transmitted to the food service terminal.

[0047] Here, in step S21, if it is the evaluation target period, regardless of the temporal proximity to the time when the personnel evaluation is to be conducted, after conducting the same evaluation, if there is a tendency of improvement or deterioration, a countermeasure is created to make a correction based on that.

[0048] As a result, in step S22, the restaurant terminal receives the personnel evaluation results of the store staff and the data of the countermeasures from the personnel evaluation department 8, and in step S23, the received personnel evaluation results of the store staff and the data of the countermeasures are displayed on the restaurant terminal.

[0049] The personnel evaluation results and countermeasures of the store staff displayed on the restaurant terminal are viewed by the manager or president of restaurant 10.

[0050] <Behavior Evaluation of Store Staff Based on Video and Audio Data> Hereinafter, the behavior evaluation of store staff (clerk 21 in charge of customer service, clerk 22 in charge of cooking) based on in-store video and audio data executed by the behavior evaluation unit 7 in steps S4 and S5 using artificial intelligence (AI) will be described.

[0051] (Communication with Customers) Based on the in-store video and audio data, the smiling face, tone of voice, choice of words, and easy-to-hear voice of the store staff are discriminated.

[0052] (Consideration) Based on the in-store video and audio data, the number of times of gratitude (e.g., thank you) from customers and facial expressions are quantified.

[0053] (Intimidating Attitude) Based on the in-store video and audio data, attitudes and words that are not appropriate for store staff are discriminated.

[0054] (Smiling Face) Based on the in-store video data, the smiling time of the staff in the store is discriminated.

[0055] (Customer Communication Distance) Based on the in-store video and audio data, it is discriminated whether the distance between the store staff and the customer (in the case of Fig. 2, the customer 23 who comes to the store) is appropriate. In addition, the quantification of the distance from the customer is set for each business type (restaurant, izakaya, entertainment business, etc.).

[0056] (Customer reaction) Based on in-store video and audio data, determine the smiles and voice tones of customers (in the case of Figure 2, in-store customers 23) during service and provision. Also, based on in-store video and audio data, determine communication, consideration, intimidating attitudes, language use, and positive statements with customers.

[0057] (Employee interaction) Based on in-store video and audio data, determine whether store staff are considerate of each other regardless of hierarchical relationships. For example, determine whether the teaching posture of the teaching side of the store staff is appropriate based on language use, attitude, and attentiveness.

[0058] Regarding the learning posture of the learning side of the store staff, determine based on language use, attitude, and whether they are willing to learn. Regarding covering for store staff mistakes, determine whether they notify other store staff by sound, vibration, or earphone when an anomaly is detected.

[0059] For handling irregularities (customer requests outside a certain routine, covering for mistakes), determine the accuracy of pre-response preparations and enable recording and review of how they are handled. Regarding the accuracy of store staff pre-response preparations, determine whether they follow the manual.

[0060] Regarding the behavior of store staff showing a relaxed state (e.g., not showing areas that are being worked on), determine whether they can respond with a smile and avoid using rough language when busy or when there are staff mistakes. Regarding unnecessary conversations of store staff, determine whether they are using unnecessary words and the frequency.

[0061] (Appropriate shift) Based on in-store video and audio data, when there are few shifts, link with timing. Shift management should be set up so that a better shift leads to higher evaluation.

[0062] (Overall atmosphere of the store) Regarding the overall atmosphere of the store, it is quantified based on the attitude of the store staff and whether customers are enjoying themselves.

[0063] (What the other party thinks) What the other party thinks is determined by the number of times customers express gratitude, the duration of their smiles, and who the customers are coming to see (visible).

[0064] (Communication) As staff cooperation, confirmation, and instructions, it is determined whether instructions are confirmed, returned, and the results reported, and whether they are conveyed to the other party verbally.

[0065] (Cleaning check) Based on in-store video and audio data, it is determined regarding dirt and the arrangement of equipment. (Proper purchasing, no overstocking) Based on in-store video and audio data, artificial intelligence determines and evaluates whether normal orders are being placed.

[0066] (Attitude towards suppliers) Based on in-store video and audio data, it is determined whether the language use, attitude, smiles, etc. towards suppliers are appropriate.

[0067] (Completion speed after an order is placed) Based on in-store video and audio data, hourly wage linkage is carried out for evaluation based on individual production capacity.

[0068] (Service speed after the food is prepared) Based on in-store video and audio data, hourly wage linkage is carried out for evaluation based on individual production capacity. (Proper plating of food and drinks) Based on in-store video, it is determined whether the plating is done according to the manual.

[0069] (Proper amount of food and drinks) Based on the in-store video, determine whether the quantity is served according to the manual.

[0070] (Proper cooking method for food and drinks) Based on the in-store video, determine whether the cooking is done according to the manual.

[0071] (Accounting) Based on the in-store video and audio data, determine whether the money put in and the check match (i.e., whether there is no fraud), and also check whether the amount paid in conjunction with the accounting system is correct by looking at it on hand.

[0072] (Evaluation of store staff behavior based on in-store smell data) The following describes the evaluation of the behavior of store staff (customer service staff 21 and cooking staff 22) based on the in-store smell data, which is executed by the behavior evaluation unit 7 using artificial intelligence (AI) in steps S12 and S13.

[0073] (In-store smell check) Based on the smell data detected by the smell sensor 6, determine cleaning, hygiene management, and air conditioning. If the smell sensor 6 detects a smell different from normal (gas leakage or strange smell) as a detection result, immediately notify the store staff using the alarm device.

[0074] (Configuration and effects of the embodiment) Summarizing the configuration and effects of the embodiment of the present invention, the personnel evaluation device (Internet service company server 2) includes an evaluation information acquisition unit (interface and CPU of the Internet service company server 2) that acquires evaluation information for evaluating an evaluated person including at least any information on the speech, attitude, and expression of the target person acquired by the imaging camera (video cameras 5-1, 5-2,..., 5-n) or / and the sound collection device, a behavior evaluation unit 7 that performs a behavior evaluation on the evaluated person according to the evaluation items based on the evaluation information acquired by the evaluation information acquisition unit, and a personnel evaluation unit 8 that performs a personnel evaluation on the evaluated person based on the behavior evaluation performed by the behavior evaluation unit 7 in a predetermined period.

[0075] The action evaluation is performed by calculating a score for each of the evaluation items.

[0076] The personnel evaluation unit 8 calculates the amount of remuneration received by the evaluated person based on the score.

[0077] The action evaluation unit 7 performs the action evaluation on a plurality of the evaluated persons in accordance with the evaluation items, and the personnel evaluation unit 8 calculates the respective amounts of remuneration received by the plurality of the evaluated persons based on the scores calculated in the action evaluation on the plurality of the evaluated persons performed by the action evaluation unit 7.

[0078] The action evaluation unit 7 performs the action evaluation on a plurality of the evaluated persons in accordance with a plurality of the evaluation items, and the personnel evaluation unit 8 adds action evaluation identification information, which is information capable of identifying the action evaluation that does not meet a predetermined standard or meets a predetermined standard among the action evaluations on the plurality of the evaluated persons in the plurality of the evaluation items performed by the action evaluation unit 7.

[0079] The personnel evaluation program of the present invention causes a computer (Internet service company server 2) to function as an evaluation information acquisition unit (interface and CPU of the Internet service company server 2) that acquires evaluation information for evaluating an evaluated person including at least any one of information on the speech, attitude, and expression of the target person acquired by an imaging camera or / and a sound collection device, an action evaluation unit 7 that performs an action evaluation on the evaluated person in accordance with evaluation items based on the evaluation information acquired by the evaluation information acquisition unit, and a personnel evaluation unit 8 that performs a personnel evaluation on the evaluated person based on the action evaluation performed by the action evaluation unit 7 in a predetermined period.

[0080] The personnel evaluation system 1 includes a plurality of imaging cameras (video cameras 5-1, 5-2, …, 5-n) arranged inside the restaurant 10, a behavior evaluation unit 7, and a personnel evaluation unit 8. The behavior evaluation unit 7 performs an action evaluation of the evaluated person (store staff (the clerk 21 in charge of customer service and the clerk 22 in charge of cooking)) working inside the restaurant 10 by artificial intelligence based on the information of the words and deeds of the evaluated person from the imaging cameras. The personnel evaluation unit performs a personnel evaluation of the evaluated person working inside the restaurant 10 by artificial intelligence based on all the evaluation results of the behavior evaluation unit 7 during the period when the personnel evaluation is performed.

[0081] The behavior evaluation unit 7 performs an action evaluation based on the words and deeds of teaching between the evaluated person and other evaluated persons and the subsequent actions, or the words and deeds of being taught between the evaluated person and other evaluated persons and the subsequent actions.

[0082] The behavior evaluation unit 7 performs an action evaluation based not only on the words and deeds of the evaluated person but also on the words and deeds of the customer 23 who has been served by the evaluated person.

[0083] The personnel evaluation unit 8 performs the same evaluation regardless of the temporal proximity to the time when the personnel evaluation is conducted during the evaluation target period.

[0084] The personnel evaluation unit 8 performs the same evaluation regardless of the temporal proximity to the time when the personnel evaluation is conducted during the evaluation target period, and if there is a tendency of improvement or deterioration, makes a correction based on that.

[0085] According to the personnel evaluation system 1 with such a configuration, since the personnel evaluation unit performs a personnel evaluation of the evaluated person working inside the restaurant 10 by artificial intelligence based on all the evaluation results of the behavior evaluation unit 7 during the period when the personnel evaluation is performed, a more appropriate personnel evaluation can be performed.

[0086] Note that the evaluated person is, for example, a cook, a customer service staff, or a field worker. The target persons are, for example, the evaluated person (cook, customer service staff, field worker, etc.), customers, on-site supervisors, managers, and superiors. That is, the evaluated person may or may not be included in the target persons.

[0087] The imaging camera or / and the sound collecting device may be provided at a predetermined location, may be worn by the person to be evaluated, or may be provided on a movable drone, robot, or the like. Examples of the sound collecting device include a microphone and a recorder.

[0088] Behavior evaluation is an evaluation conducted in accordance with evaluation items. In the behavior evaluation of the chef shown in Fig. 5(a), the evaluation items for the chef include, for example, the food serving speed, the number of order repeats, impressions of the taste of the food, the expressions of customers, and the cooking procedures. Based on these evaluation items, the total evaluation scores of chefs A, B, C, and D are calculated.

[0089] In the behavior evaluation of the customer service staff shown in Fig. 5(b), the evaluation items for the customer service staff include, for example, the conversation time with customers, the expressions of customers, the expressions of the staff, the number of customers visiting the store, and the choice of words. Based on these evaluation items, the total evaluation scores of customer service staff A, B, C, and D are calculated.

[0090] In the behavior evaluation of the construction site workers shown in Fig. 5(c), the evaluation items for the construction site workers include, for example, approval from the on-site supervisor (responsible person), the amount of work, the working hours, and the distance moved. Based on these evaluation items, the total evaluation scores of construction site workers A, B, C, and D are calculated.

[0091] The behavior evaluation may be conducted qualitatively (e.g., choice of words: good / ordinary / bad, expression of customers: good / ordinary / bad), or may be conducted quantitatively using scores or the like (see the table). The scores of the behavior evaluation may be calculated in a point-adding or / and point-deducting manner. It may be possible to obtain the evaluation information used in calculating the scores of the behavior evaluation. For example, the evaluation information for each evaluation item, date and time, and person may be recorded in a server or the like.

[0092] The score in the behavioral evaluation may be calculated, for example, by setting predetermined criteria and calculating the score based on such criteria. For example, when the evaluation item for a cook is the number of order repeats per month, if the number of order repeats is 100 or more per month, the score can be set to 100, and if the actual number of order repeats for a cook is 45 per month, the score can be set to 45. Alternatively, for example, when the evaluation item for a customer service staff is the conversation time with customers per month, if the conversation time with customers is 30 hours or more per month, the score can be set to 100, and if the actual conversation time with customers is 15 hours per month, the score can be set to 50. Note that the method of calculating the score can be determined for each evaluation item, and the score can be calculated based on quantitative or qualitative evaluation information. Further, reference information serving as a criterion (such as cooking procedures, the expressions of customer service staff, the expressions of customers, etc.) for calculating the score may be set, and the score may be calculated by comparing with the reference data.

[0093] The score in the behavioral evaluation is calculated, for example, weekly, monthly, quarterly, or annually. The evaluation items may be set, changed (added or deleted) by an administrator or the like. Further, the evaluation items may be set, changed (added or deleted) for each person to be evaluated.

[0094] The personnel evaluation may be partially the same as the behavioral evaluation (may include a part of the behavioral evaluation), or may be a completely different evaluation from the behavioral evaluation. The personnel evaluation may be conducted qualitatively or quantitatively using a score or the like.

[0095] The personnel evaluation (behavioral evaluation) may include the amount of remuneration received by the person to be evaluated. The personnel evaluation (behavioral evaluation) may be an evaluation related to promotion or salary increase.

[0096] The reward may be a monthly salary, or it may be a performance-based reward or a bonus. For example, the total amount of performance-based rewards for multiple evaluatees may be set and distributed according to the ratio of the numerical values of the total scores of each evaluatee in the behavioral evaluation. Specifically, for example, the total amount of performance-based rewards for 4 customer service staff (Customer Service Staff A, Customer Service Staff B, Customer Service Staff C, Customer Service Staff D) is set at 1 million yen in total, and it may be distributed according to the ratio of the numerical values of the total scores of each customer service staff in the behavioral evaluation. For example, calculated based on the table, the performance-based reward amount for Customer Service Staff A is 370 / (370 + 265 + 342 + 230) * 1 million yen = approximately 306,545 yen. Similarly, the performance-based reward amount for Customer Service Staff B is 265 / (370 + 265 + 342 + 230) * 1 million yen = approximately 219,553 yen, the performance-based reward amount for Customer Service Staff C is 342 / (370 + 265 + 342 + 230) * 1 million yen = approximately 283,347 yen, and the performance-based reward amount for Customer Service Staff D is 230 / (370 + 265 + 342 + 230) * 1 million yen = approximately 190,555 yen.

[0097] In addition, the calculation of the reward amount and the determination of promotion and salary increase based on the personnel evaluation (behavioral evaluation) may be carried out by cumulative evaluation. For example, the average of the monthly scores of the personnel evaluation (behavioral evaluation) of the evaluatee in the past one year may be calculated, and the calculation of the basic salary amount and the determination of promotion and salary increase may be carried out according to the average. Also, the personnel evaluation (behavioral evaluation) of the evaluatee in a specific month may be used for the calculation of the bonus amount, and the personnel evaluation (behavioral evaluation) of the evaluatee in the past one year may be used for the calculation of the basic salary amount. In this way, the target period of the personnel evaluation (behavioral evaluation) performed on the evaluatee may be divided according to the type of reward.

[0098] In order to identify the behavioral evaluations that do not meet or meet the predetermined criteria, for example, the scores of the corresponding behavioral evaluations may be blacked out and displayed on the terminal in a visualized state (see the table). Thereby, the problems and excellent points in the behavioral evaluation of the evaluatee can be easily recognized.

[0099] In the embodiments shown in FIGS. 1 to 5, the behavior evaluation and personnel evaluation of the person to be evaluated were performed based on data from a plurality of video cameras 5-1, 5-2,..., 5-n and the odor sensor 6. However, other combinations may be used, for example, the behavior evaluation and personnel evaluation of the person to be evaluated may be performed based only on voice data from a microphone, or other sensors such as a temperature sensor may be added to perform the behavior evaluation and personnel evaluation.

[0100] In the embodiments shown in FIGS. 1 to 5, the person to be evaluated was a store staff (the clerk 21 in charge of customer service and the clerk 22 in charge of cooking). However, the person to be evaluated may include a president, a store manager, an area manager, etc.

[0101] In the embodiments shown in FIGS. 1 to 5, the behavior evaluation unit 7 performed the behavior evaluation of the person to be evaluated working in the restaurant 10 by artificial intelligence based on the behavior itself of the person to be evaluated (information on the words and deeds of the store staff) from the imaging camera. However, the behavior evaluation unit 7 may perform the behavior evaluation of the person to be evaluated based on the results of the person to be evaluated's behavior (for example, the completed dishes, the result of cleaning, the smiles of customers, etc.).

[0102] [Modification Examples of Embodiments of the Present Invention] The modification example of the embodiment of the present invention is an application of the personnel evaluation system shown in FIGS. 1 to 5 not only to restaurants but also to any workplace in the accommodation industry, food service industry, or service industry.

[0103] The personnel evaluation system of the modification example of the embodiment includes a plurality of imaging cameras (video cameras 5-1, 5-2,..., 5-n, see FIG. 1) arranged in any workplace in the accommodation industry, food service industry, or service industry, a behavior evaluation unit 7 (see FIG. 1), and a personnel evaluation unit 8 (see FIG. 1). The behavior evaluation unit 7 performs the behavior evaluation of the person to be evaluated working in the workplace by artificial intelligence based on the information of the person to be evaluated (president, store manager, area manager, employee, worker, etc.) from the imaging camera, and the personnel evaluation unit performs the personnel evaluation of the person to be evaluated working in the workplace by artificial intelligence based on all the evaluation results of the behavior evaluation unit 7 during the period of personnel evaluation.

[0104] Furthermore, when applying the personnel evaluation system to the construction industry, the evaluation by the action evaluation unit 7 uses the area in square meters of construction work performed. According to such a modification example, appropriate personnel evaluations can be performed not only in restaurants but also in any workplace in the accommodation industry, food service industry, or service industry.

[0105] Note that the evaluation system and the devices and means constituting the personnel evaluation system of the present invention are not limited to those described above, and depending on the purpose of use of the evaluation system and the personnel evaluation system, etc., only the necessary devices and means can be configured, or other devices and means can be appropriately added.

[0106] Also, instead of configuring each means as separate, it may be configured as a means integrating a plurality of functions. It is also possible to combine two or more systems into one, or conversely, to configure and connect one system from two or more other systems.

[0107] For example, in the embodiments shown in FIGS. 1 to 5, the action evaluation unit 7 and the personnel evaluation unit 8 are provided in the Internet service company server 2 separate from the restaurant terminal, but the action evaluation unit 7 and the personnel evaluation unit 8 may be set in the restaurant terminal so that action evaluation and personnel evaluation can be performed only with the facilities in the restaurant.

[0108] Also, the above-described embodiments and modification examples are merely the best forms or forms close thereto at present.

Industrial Applicability

[0109] The evaluation system and the personnel evaluation system of the present invention can be effectively used not only in restaurants but also by businesses and corporations.

Explanation of Signs

[0110] 1: Personnel evaluation system 2: Internet service company server 3: Internet 4-1, 4-2, 4-3…: Restaurant terminals 5-1, 5-2…5-n: Video camera 6: Odor sensor 7: Behavior evaluation unit 8: Personnel evaluation unit 10: Restaurant 11: Roof 12: Lighting fixture 13-1, 13-2…: Table 14-1, 14-2…: Chair 15: Counter 16-1, 16-2…: Cooking appliance 17: Table 18: Cash register 21: Clerk in charge of customer service 22: Clerk in charge of cooking 23: Customer who comes to the store

Claims

1. An evaluation information acquisition unit that acquires evaluation information for evaluating an evaluatee including at least any one of the speech, actions, attitudes, and expressions of the subject person acquired by an imaging camera and / or a sound collection device; An action evaluation unit that performs an action evaluation on the evaluatee in accordance with evaluation items based on the evaluation information acquired by the evaluation information acquisition unit; A personnel evaluation device comprising a personnel evaluation unit that performs a personnel evaluation on the evaluatee based on the action evaluation performed by the action evaluation unit over a predetermined period.

2. The personnel evaluation device according to claim 1, wherein the action evaluation is performed by being calculated as a score for each of the evaluation items.

3. The personnel evaluation device according to claim 2, wherein the personnel evaluation unit calculates the amount of remuneration received by the evaluatee based on the score.

4. The action evaluation unit performs the action evaluation on a plurality of the evaluatees in accordance with the evaluation items, The personnel evaluation unit calculates the respective amounts of remuneration received by the plurality of evaluatees based on the scores calculated in the action evaluation on the plurality of evaluatees performed by the action evaluation unit. The personnel evaluation device according to claim 3.

5. The action evaluation unit performs the action evaluation on a plurality of the evaluatees in accordance with a plurality of the evaluation items, The personnel evaluation unit adds action evaluation identification information, which is information capable of identifying the action evaluation that does not meet or meets a predetermined criterion among the action evaluations on the plurality of evaluatees in the plurality of evaluation items performed by the action evaluation unit. The personnel evaluation device according to claim 1.

6. A personnel evaluation program that causes a computer to function as an evaluation information acquisition unit that acquires evaluation information for evaluating an evaluatee including at least any one of the speech, actions, attitudes, and expressions of the subject person acquired by an imaging camera and / or a sound collection device; An action evaluation unit that performs an action evaluation on the evaluatee in accordance with evaluation items based on the evaluation information acquired by the evaluation information acquisition unit; A personnel evaluation unit that performs a personnel evaluation on the evaluatee based on the action evaluation performed by the action evaluation unit over a predetermined period.

7. A plurality of imaging cameras arranged in a restaurant, An action evaluation unit, A personnel evaluation unit, and having The action evaluation unit is based on the information of the speech and actions of the evaluatee from the imaging camera Evaluating the behavior of the evaluated person working in a restaurant by artificial intelligence, The personnel evaluation department Performs a personnel evaluation of the evaluated person working in a restaurant by artificial intelligence based on the evaluation results of all the behavior evaluation departments during the period of personnel evaluation. Personnel evaluation system.

8. The behavior evaluation department Based on the words and deeds of teaching between the evaluated person and other evaluated persons and their subsequent behaviors, or Based on the words and deeds of being taught between the evaluated person and other evaluated persons and their subsequent behaviors, Conducts a behavior evaluation The personnel evaluation system according to claim 7.

9. The behavior evaluation department conducts a behavior evaluation based not only on the words and deeds of the evaluated person but also on the words and deeds of the customers who visited the store and were served by the evaluated person. The personnel evaluation system according to claim 7.

10. The personnel evaluation department conducts the same evaluation regardless of the temporal proximity to the time of conducting the personnel evaluation during the evaluation target period. The personnel evaluation system according to claim 7.

11. The personnel evaluation department During the evaluation target period, regardless of the temporal proximity to the time of conducting the personnel evaluation, after conducting the same evaluation, if there is a tendency to improve or deteriorate, a correction based on that is made. The personnel evaluation system according to claim 10.

12. A plurality of imaging cameras arranged in any workplace of the accommodation industry, the food and beverage service industry, or the service industry, A behavior evaluation department, A personnel evaluation department, and has The behavior evaluation department Based on the information of the evaluated person from the imaging camera, Evaluates the behavior of the evaluated person working in the workplace by artificial intelligence, The personnel evaluation department Performs a personnel evaluation of the evaluated person working in the workplace by artificial intelligence based on the evaluation results of all the behavior evaluation departments during the period of personnel evaluation. Personnel evaluation system.

Images