Information processing device and information processing method

Abstract

An information processing device (10) is provided with: a reception unit (11) that receives information pertaining to a task; a determination unit (12) that determines the priority of a task on the basis of information including at least one of a degree of importance and a degree of urgency of the task, the degree of importance and the degree of urgency being included in the received information pertaining to the task or acquired from the information pertaining to the task; and an output unit (13) that outputs, to a generative AI model (LLM (30)), an instruction sentence for instructing generation of advice for task management on the basis of the determined priority of the task.

Description

Information processing device and information processing method

[0001] The present disclosure relates to an information processing device and an information processing method.

[0002] In modern work environments, people are required to efficiently execute many tasks using various communication tools (e.g., email, video conferencing systems, message exchange systems, etc.). Each task has a level of importance and urgency, and a technology has been proposed that determines priorities according to the importance and urgency of each task (see Patent Literature 1).

[0003] Website: "Jooto Magazine article: 'Prioritize tasks with a matrix of urgency and importance'", Published: July 4, 2022, https: / / www.jooto.com / contents / priority-matrix /

[0004] Meanwhile, in recent years, various types of content have been generated using generative artificial intelligence (AI) models. A generative AI model is a model that, in response to input of various pieces of generation request information, generates a generation result (content) in accordance with the instructions, context, questions, and output format indicated in the generation request information, and returns the generation result as response information.

[0005] However, the technology of Non-Patent Document 1 does not consider how to effectively utilize generative AI models. Therefore, there is a need for more efficient task management by effectively utilizing generative AI models.

[0006] Taking the above circumstances into consideration, the present disclosure aims to effectively utilize generative AI models to manage tasks more efficiently.

[0007] The information processing device according to the present disclosure includes a reception unit that receives information related to a task, a determination unit that determines the priority of the task based on information including at least one of the importance and urgency of the task contained in the received information related to the task or obtained from the information related to the task, and an output unit that outputs generation request information to a generation AI model to instruct the generation of task management advice based on the determined priority of the task.

[0008] According to the present disclosure, generative AI models can be effectively utilized to manage tasks more efficiently.

[0009] 1 is a configuration diagram of an entire system including an information processing device; FIG. 2 is a flow diagram of processing executed by the information processing device; FIG. 3 is a diagram for explaining information related to a task; (a) is a diagram showing a first example of generated advice, and (b) is a diagram showing a second example of generated advice; (a) is a diagram showing a first modified example related to the system configuration, and (b) is a diagram showing a second modified example related to the system configuration; and (b) is a diagram showing an example of the hardware configuration of an information processing device.

[0010] Hereinafter, an embodiment of an information processing device and an information processing method according to the present disclosure will be described with reference to the drawings. In the following embodiment, a form will be described in which a large language model (LLM) that is mainly used for text generation is used as an example of a generative AI model.

[0011] FIG. 1 illustrates a configuration diagram of a system 1 including an information processing device 10 according to the present disclosure. As illustrated in FIG. 1, the system 1 includes a terminal 20 operated by a user, an external server (hereinafter referred to as "LLM") 30 running a large-scale language model (LLM), and the information processing device 10. The information processing device 10 is a device constituting a Retrieval-Augmented Generation (RAG) system. The RAG system is a type of prompt extension technology used for corporate information linkage of LLMs. Specifically, when issuing a generation request to an LLM based on an instruction statement (generation request information), the system searches for similar documents, etc. in a search system in advance, and outputs the obtained similar documents, etc., along with the instruction statement to the LLM to request generation. To realize the functions according to the present disclosure, the information processing device 10 includes a receiving unit 11, a determining unit 12, and an output unit 13. The functions of each unit are described below.

[0012] The reception unit 11 is a functional unit that receives information related to a task from the terminal 20 or an external server (not shown). The information related to the task includes, for example, various pieces of information acquired from various communication tools (email, Slack (registered trademark), etc.). Specific examples of the information related to the task will be described later.

[0013] The determination unit 12 is a functional unit that determines the priority of a task based on information including at least one of the importance and urgency of the task, which is included in the received information about the task or acquired from the information about the task. In this embodiment, an example will be described in which the determination unit 12 determines the priority of a task based on both the importance and urgency of the task. However, the determination unit 12 may also determine the priority of a task based on only one of the importance and urgency of the task, which will be described later as a modified example.

[0014] The output unit 13 is a functional unit that outputs, to the LLM 30, directives for instructing the generation of task management advice based on the determined task priority. Specifically, the output unit 13 outputs directives, including instructions for changing the level of detail and display method of the generated advice according to the task priority, to a prompt that is input to the LLM 30. For example, when the task priority is high, the output unit 13 may output directives including instructions to provide more detailed advice content, to highlight the advice using a different font, underlining, etc. On the other hand, when the task priority is low, the output unit 13 may output directives including instructions to simplify the advice content, to avoid highlighting the advice, etc. Furthermore, in response to the input of the directives to the LLM 30, the output unit 13 receives task management advice from the LLM 30 as a generation result output from the LLM 30 and outputs the advice to the terminal 20.

[0015] The process executed by the information processing device 10 (the process related to the information processing method of the present disclosure) will be described below with reference to the flow diagram of FIG.

[0016] First, the reception unit 11 receives information related to a task (step S1). FIG. 3 shows an example of information related to a task. A specific example of "information related to a task" is "There is a meeting with Company A next Monday. Therefore, please prepare the materials for the meeting by 5:00 PM this Friday." Further explaining "information related to a task," when the recipient needs to take action in response to something, such as "Please complete it by XX / XX," "Please consider regarding XX," "Please take care of the XX matter," or "Please prepare XX by next week," these phrases are considered "information related to a task."

[0017] Next, the determination unit 12 acquires the importance and urgency of the task (step S2). For example, the determination unit 12 may determine the urgency of the task based on the "required time for the task" and the "remaining time until the deadline" included in the information about the task. As an example, the determination unit 12 may determine the urgency of the task based on the remaining time obtained by subtracting the "required time for the task" from the "remaining time until the deadline." Furthermore, the determination unit 12 may determine the importance of the task based on at least one of the type and content of the task included in the information about the task. As an example, if the type of task is a task related to an important project involving many people across multiple departments, the determination unit 12 may determine the importance of the task to be a relatively high value, and if the type of task is a task related to an unimportant project involving only a small number of people in a single department, the determination unit 12 may determine the importance of the task to be a relatively low value.

[0018] Next, the determination unit 12 determines the priority of the task based on the importance and urgency of the task (step S3). For example, the determination unit 12 may determine the priority of the task based on a combination of urgency and importance as follows: Assuming that the urgency and importance are each determined as three levels, namely, "high," "normal," and "low," the determination unit 12 determines the priority to be "10" (the highest value on a 10-level scale) when the urgency is "high" and the importance is "high," according to correspondence information that previously associates "combinations of urgency and importance" with "priorities." Similarly, the determination unit 12 determines the priority to be "9" when the urgency is "high" and the importance is "normal," the priority to be "8" when the urgency is "normal" and the importance is "high," the priority to be "7" when the urgency is "normal" and the importance is "normal," and the priority to be "6" when the urgency is "low" and the importance is "high." For cases other than those described above, the determination unit 12 also determines the priority according to the correspondence information. At this time, between the urgency and the importance, the urgency may be given more importance, or the importance may be given more importance.

[0019] Next, the output unit 13 outputs an instruction statement to the prompt that is input to the LLM 30 to instruct the LLM 30 to generate task management advice based on the determined task priority (i.e., instructs the LLM 30 to generate the advice) (step S4).

[0020] Thereafter, if there is a response of the generation result (task management advice) from the LLM 30 (YES in step S5), the output unit 13 acquires the task management advice described below from the LLM 30 as the generation result from the LLM 30, and outputs the acquired task management advice to the terminal 20 (step S6). This allows the user to check the content of the task management advice.

[0021] Below are two examples of generated results (task management advice). In the following examples, "priority" is expressed as a 10-point scale from 1 to 10, as in the previous example. First, as shown in Figure 4(a), an example of a generated result is as follows: "Task name (1): Create meeting materials for Company A and Product B - Time required for completion: 2 hours - Priority: 10 - Urgency: High. Only 40 hours remaining until the deadline (12 noon this Friday). Requires confirmation from the section manager. - Importance: High. This material will be shown to someone outside the company (Company A) and is related to the sales performance of Product B. - Task summary: Create materials necessary for the meeting with Company A. - The materials should include the features and price of Product B, as well as proposals and estimates tailored to Company A's needs and challenges. - Complete by 12 noon this Friday and have the section manager review it."

[0022] As shown in Figure 4(b), another example of the generated results is: "Task name (2): Register your own achievements - Time required for completion: 1 hour - Priority: 6 - Urgency: Low. The estimated time required is 1 hour, the deadline for response is the end of this month, and there are 200 hours remaining, so there is ample time. - Importance: High. This is linked to your own evaluation, and if you do not respond by the deadline, your personnel evaluation may be lowered. - Task summary: Quantify your achievements, get approval from your superior, and then register them in the system. Deadline for response: March 31, 2024, 12:00."

[0023] According to the embodiment described above, the priority of a task is appropriately determined based on the importance and urgency of the task obtained from information about the task, an instruction statement for instructing the generation of task management advice based on the determined priority is output to the LLM, and the generated result (task management advice) is obtained from the LLM, so that tasks can be managed more efficiently by effectively utilizing the LLM.

[0024] (Modifications of the Determining Unit 12) Various modifications of the determining unit 12 will be described below.

[0025] When determining the priority of a task based on both the importance and urgency of the task, the determination unit 12 may determine the priority of the task by weighting each of the importance and urgency in accordance with a predetermined "weighting degree" for each of the importance and urgency. In this case, the priority of the task can be appropriately determined in accordance with the predetermined weighting degree for each of the importance and urgency.

[0026] Alternatively, the determination unit 12 may obtain only the urgency of a task based on the "required time for the task" and the "remaining time until the deadline" included in the information about the task, and determine the priority of the task based only on the urgency. This allows the priority of a task to be determined based only on the urgency of the task even in a situation where the importance of the task cannot be properly obtained due to, for example, a lack of information.

[0027] Alternatively, the determination unit 12 may obtain only the importance of a task based on at least one of the type and content of the task included in the information about the task, and determine the priority of the task based only on the importance. For example, for a task for which no specific deadline is set, the urgency is low, so the determination unit 12 may obtain only the importance of the task as described above and determine the priority of the task based only on the importance. This makes it possible to determine the priority of a task based only on the importance of the task in cases where the urgency of the task is not a major issue (such as cases where a task for which no specific deadline is set is being targeted).

[0028] (Variations of System 1) System 1 is not limited to the configuration shown in FIG. 1 . As shown in FIG. 5A, the information processing device 10 may be included in the terminal 20. This configuration can be realized, for example, by installing an application that executes the functions of the information processing device 10 on the terminal 20. The LLM 30 resides externally (e.g., on the cloud). Alternatively, as shown in FIG. 5B, the information processing device 10 and the LLM 30 may be included in the terminal 20. This configuration can be realized, for example, by installing an application that executes the functions of the information processing device 10 and an application that executes the functions of the LLM 30 on the terminal 20. In any of the configurations shown in FIGS. 1, 5A, and 5B, an external server (e.g., an internal server of a company) that can be used to obtain task-related information (e.g., information obtained from a communication tool) resides externally (e.g., on a network).

[0029] The gist of the present disclosure lies in the following [1] to [9]. [1] An information processing device comprising: a receiving unit that receives information related to a task; a determination unit that determines a priority of the task based on information including at least one of the importance and urgency of the task included in the received information related to the task or acquired from the information related to the task; and an output unit that outputs generation request information to a generative AI model to instruct generation of task management advice based on the determined priority of the task. [2] The information processing device according to [1], wherein the information related to the task includes information acquired from a communication tool. [3] The information processing device according to [1] or [2], wherein the determination unit determines the priority of the task based on a combination of the importance and urgency of the task and predetermined weighting degrees of each of the importance and urgency. [4] The information processing device according to [1] or [2], wherein the determination unit obtains the urgency of the task based on the required time and the time remaining until the deadline of the task included in the information related to the task, and determines the priority of the task based on the urgency. [5] The information processing device according to [1] or [2], wherein the determination unit obtains the importance of the task based on at least one of the type and content of the task included in information about the task, and determines the priority of the task based on the importance. [6] The information processing device according to any one of [1] to [5], wherein the output unit outputs the generation request information including an instruction to change a level of detail of the advice to be generated in accordance with the priority of the task. [7] The information processing device according to any one of [1] to [6], wherein the output unit outputs the generation request information including an instruction to change a display method of the advice to be generated in accordance with the priority of the task. [8] The information processing device according to any one of [1] to [7], wherein the output unit receives and outputs the task management advice as a generation result output from the generative AI model in accordance with input of the generation request information.[9] An information processing method comprising: a step in which an information processing device receives information related to a task; a step in which the information processing device determines a priority of the task based on information including at least one of the importance and urgency of the task contained in the received information about the task or obtained from the information about the task; and a step in which the information processing device outputs generation request information to a generative AI model to instruct the generation of task management advice based on the determined priority of the task.

[0030] [Explanation of Terms, Explanation of Hardware Configuration (FIG. 6), etc.] The block diagrams used in the description of the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are directly or indirectly connected (e.g., wired, wireless, etc.) and these multiple devices. The functional block may also be realized by combining software with the single device or multiple devices.

[0031] Functions include, but are not limited to, judgment, determination, assessment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, consideration, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

[0032] For example, an information processing device according to an embodiment of the present disclosure may function as a computer that executes the processes of the present disclosure. Fig. 6 is a diagram illustrating an example of a hardware configuration of an information processing device 10 according to an embodiment of the present disclosure. The information processing device 10 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0033] In the following description, the term "apparatus" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the information processing device 10 may be configured to include one or more of the apparatuses shown in the drawings, or may be configured to exclude some of the apparatuses.

[0034] Each function of the information processing device 10 is realized by loading specified software (programs) onto hardware such as the processor 1001 and memory 1002, causing the processor 1001 to perform calculations, control communication via the communication device 1004, and control at least one of reading and writing data in the memory 1002 and storage 1003.

[0035] The processor 1001 controls the entire computer by running, for example, an operating system, and may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc.

[0036] The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. While the various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The programs may be transmitted from a network via a telecommunications line.

[0037] The memory 1002 is a computer-readable recording medium and may be configured by, for example, at least one of a read-only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a random access memory (RAM), etc. The memory 1002 may also be called a register, a cache, a main memory (primary storage device), etc. The memory 1002 can store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to an embodiment of the present disclosure.

[0038] Storage 1003 is a computer-readable recording medium, and may be composed of at least one of, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray (registered trademark) disk), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, etc. Storage 1003 may also be referred to as an auxiliary storage device. The above-mentioned storage medium may be, for example, a database, a server, or other appropriate medium including at least one of memory 1002 and storage 1003.

[0039] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, etc. The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD).

[0040] The input device 1005 is an input device (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device 1006 is an output device (e.g., a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may be integrated into one device (e.g., a touch panel).

[0041] Furthermore, each device, such as the processor 1001 and the memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

[0042] The information processing device 10 may also be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized by the hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0043] The notification of information is not limited to the aspects / embodiments described in the present disclosure and may be performed using other methods. For example, the notification of information may be performed by physical layer signaling (e.g., Downlink Control Information (DCI) and Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information (Master Information Block (MIB) and System Information Block (SIB))), other signals, or a combination thereof. Furthermore, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

[0044] Each aspect / embodiment described in the present disclosure may be implemented using any of the following standards: LTE (Long Term Evolution), LTE-Advanced (LTE-A), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), 6th generation mobile communication system (6G), xth generation mobile communication system (xG) (xG (x is, for example, an integer or a decimal number)), FRA (Future Radio Access), NR (new Radio), New radio access (NX), Future generation radio access (FX), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (Wi-Fi (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (Wi-Fi (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), IEEE 802.34 ( The present invention may be applied to at least one of systems using 802.20, UWB (Ultra-Wide Band), Bluetooth (registered trademark), or other suitable systems, and next-generation systems that are extended, modified, created, or defined based on these systems. The present invention may also be applied to a combination of multiple systems (e.g., a combination of LTE and / or LTE-A with 5G).

[0045] The order of the procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless it is consistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0046] Input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be transmitted to another device.

[0047] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0048] The aspects / embodiments described in this disclosure may be used alone, in combination, or switched depending on the implementation. Notification of predetermined information (e.g., notification that "X is true") is not limited to explicit notification, but may be implicit (e.g., not notifying the predetermined information).

[0049] Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the present disclosure as defined by the claims. Therefore, the description of the present disclosure is intended to be illustrative and does not have any limiting meaning on the present disclosure.

[0050] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0051] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then these wired and / or wireless technologies are included within the definition of transmission media.

[0052] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0053] Note that terms described in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Furthermore, a signal may be a message. Furthermore, a component carrier (CC) may be called a carrier frequency, a cell, a frequency carrier, etc.

[0054] As used in this disclosure, the terms "system" and "network" are used interchangeably.

[0055] Furthermore, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, relative values ​​from a predetermined value, or other corresponding information. For example, a radio resource may be indicated by an index.

[0056] The names used for the above-described parameters are not intended to be limiting in any way. Furthermore, the mathematical expressions using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (e.g., PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

[0057] As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching in a table, database, or other data structure), ascertaining, and the like. "Determining" and "determining" may also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and the like. Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0058] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0059] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

[0060] When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

[0061] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0062] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0063] 1...system, 10...information processing device, 11...reception unit, 12...decision unit, 13...output unit, 20...terminal, 30...LLM (generative AI model), 1001...processor, 1002...memory, 1003...storage, 1004...communication device, 1005...input device, 1006...output device, 1007...bus.

Claims

1. An information processing device comprising: a reception unit that receives information related to a task; a determination unit that determines the priority of the task based on information including at least one of the importance and urgency of the task contained in the received information about the task or obtained from the information about the task; and an output unit that outputs generation request information to a generative AI model to instruct the generation of task management advice based on the determined priority of the task.

2. The information processing device according to claim 1, wherein the information relating to the task includes information acquired from a communication tool.

3. The information processing device according to claim 1, wherein the determination unit determines the priority of the task based on a combination of the importance and urgency of the task and a predetermined weighting degree for each of the importance and urgency.

4. The information processing device according to claim 1, wherein the determination unit obtains the urgency of the task based on the required time for the task and the time remaining until the deadline contained in the information about the task, and determines the priority of the task based on the urgency.

5. The information processing device according to claim 1, wherein the determination unit obtains the importance of the task based on at least one of the type and content of the task included in the information about the task, and determines the priority of the task based on the importance.

6. The information processing device according to claim 1, wherein the output unit outputs the generation request information including an instruction to change the level of detail of the advice to be generated according to the priority of the task.

7. The information processing device according to claim 1, wherein the output unit outputs the generation request information including an instruction to change the display method of the advice to be generated according to the priority of the task.

8. The information processing device according to claim 1, wherein the output unit receives and outputs the task management advice as a generation result output from the generative AI model in response to input of the generation request information.

9. An information processing method comprising: a step in which an information processing device receives information regarding a task; a step in which the information processing device determines a priority of the task based on information including at least one of the importance and urgency of the task contained in the received information regarding the task or obtained from the information regarding the task; and a step in which the information processing device outputs an instruction statement to a large-scale language model to instruct the generation of task management advice based on the determined priority of the task.

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