Questioning methods by generative AI, AI agents, or conversational AI systems

Abstract

To easily achieve the objectives of the dialogue. [Solution] A method by which a generative AI, AI agent, or conversational AI system contributes to achieving the objective of a dialogue through dialogue with a respondent, wherein during the dialogue process, one or a combination of the following are increased in stages: affinity with the respondent, trustworthiness, sense of security, engagement building, trust relationship, willingness to respond, emotional resonance, willingness to answer, consistency of answers, concentration, level of interest, response speed, and emotional response, thereby contributing to achieving the objective of the dialogue.

Description

Technical Field

[0001] The present invention relates to a method of asking questions by a generative AI, an AI agent, or an interactive AI system.

Background Art

[0002] For example, Patent Document 1 discloses that an AI agent responds according to a human emotion.

Prior Art Documents

Non-Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the AI agent of Patent Document 1 does not engage in a conversation but merely responds to a human emotion.

Means for Solving the Problems

[0005] A method in which a generative AI, an AI agent, or an interactive AI system contributes to the realization of the conversation purpose through a conversation with a responder, and in the conversation process, any one or combination of the affinity, reliability, sense of security, engagement building degree, trust relationship degree, willingness to respond, emotional resonance degree, willingness to answer, consistency of answer, concentration degree, interest degree, reaction speed, and emotional reaction degree with the responder is gradually increased, and characterized by a method of asking questions by a generative AI, an AI agent, or an interactive AI system that contributes to the realization of the conversation purpose.

Effects of the Invention

[0006] According to the present invention, the conversation purpose can be easily realized.

Brief Description of the Drawings

[0007] [Figure 1] This is a schematic diagram illustrating a method according to an embodiment of the present invention. [Modes for carrying out the invention]

[0008] (Research objectives) We will gain a detailed understanding of consumer usage and impressions of the newly released sports watch, and use this information to improve the next model and develop marketing strategies.

[0009] (Research Methodology) First, in the survey method according to this embodiment shown in Figure 1, as shown in Q1, a generating AI, an AI agent, or a conversational AI system asks the monitor questions about the product being surveyed. The monitor responds with their impressions of using the product, as shown in A1.

[0010] Next, as shown in Q2, a generating AI, AI agent, or conversational AI system will confirm with the monitors how they use the product. This is done to increase affinity, trust, and confidence with the monitors in order to achieve the objectives of this survey. In response, the monitors will answer questions about their usage scenarios, as shown in A2.

[0011] Then, as shown in Q3, the generating AI, AI agent, or conversational AI system asks which features are useful. This question further increases the level of familiarity, trust, and confidence with the monitor. In response, the monitor answers, as shown in A3, that it is the heart rate monitoring function.

[0012] Furthermore, as shown in Q4, the generating AI, AI agent, or conversational AI system asks how that function is specifically helpful. As shown in A4, the monitor responds that it has become easier to balance aerobic and anaerobic exercise.

[0013] Finally, a generative AI, AI agent, or conversational AI system asks the monitor questions about the functional improvements that were the objective of the study. With this, the objective has been achieved.

[0014] (Generative AI, AI agent, or conversational AI system) When creating a generative AI, AI agent, or conversational AI system for research, the research objectives, constraints, and strategy are defined. This can be indicated, for example, through prompts. In the interaction with a monitor of the generative AI, AI agent, or conversational AI system, the monitor's responses are analyzed, the monitor's current state is estimated, and optimal questions are generated according to the strategy.

[0015] In this embodiment, the monitor was initially prompted to provide a verbal response, but it is also possible to ask, for example, a picture of a product the monitor recently purchased and liked. This can, of course, be done at any time during the conversation.

[0016] In this embodiment, affinity, trustworthiness, and sense of security were mentioned, but other factors that could be considered include engagement level, trust level, willingness to respond, emotional resonance level, willingness to answer, consistency of answers, concentration level, level of interest, response speed, and emotional response level.

[0017] Furthermore, while this embodiment uses a dialogue with a monitor in a survey as an example, it can also be used in other dialogue systems between questioners and respondents. For example, in a dialogue between a provider and a user, a generative AI, AI agent, or conversational AI system may answer the user's question after understanding the intent behind the user's unclear question.

[0018] In this embodiment, a generative AI, AI agent, or conversational AI system intentionally selects questions that are easy for the monitor to answer in order to first increase affinity and build a relationship. As the monitor relaxes and answers, it naturally extracts in-depth information about the target "areas for improvement in sports watches," thereby increasing the final level of objective fulfillment. In this way, an approach that increases affinity, trust, and a sense of security functions as a strategy that contributes to achieving the objective.

[0019] <Other Embodiments> This disclosure is not limited to the embodiments described above. The components of this disclosure can be modified and implemented in practice without departing from its essence. Furthermore, various disclosures can be formed by appropriate combinations of the components disclosed in the embodiments described above. For example, some components may be removed from all the components shown in the embodiments. Moreover, components may be appropriately combined in different embodiments.

Claims

1. A method by which a generative AI, AI agent, or conversational AI system contributes to achieving the objective of a dialogue through dialogue with a respondent, wherein, during the dialogue process, one or a combination of the following factors is gradually increased, thereby contributing to the achievement of the objective of the dialogue: affinity with the respondent, trustworthiness, sense of security, engagement building, trust relationship, willingness to respond, emotional resonance, willingness to answer, consistency of answers, concentration, level of interest, response speed, and emotional responsiveness.

2. The method of asking questions using a generating AI, AI agent, or conversational AI system according to claim 1, characterized in that, during the aforementioned dialogue, the respondent is asked questions to obtain an image as a response.

3. A generative AI, AI agent, or conversational AI system characterized by using the questioning method described in claim 1 or claim 2.

4. A method by a generative AI, AI agent, or conversational AI system to contribute to the realization of a dialogue objective through dialogue with a respondent, wherein the dialogue objective, constraints, and strategy are set in advance, and during the dialogue process, one or a combination of the following are increased in stages: affinity with the respondent, trustworthiness, sense of security, engagement building, trust relationship, willingness to respond, emotional resonance, willingness to answer, consistency of answers, concentration, level of interest, response speed, and emotional responsiveness, thereby contributing to the realization of the dialogue objective.

5. The method of asking questions using a generating AI, AI agent, or conversational AI system according to claim 4, characterized in that, during the aforementioned dialogue, the respondent is asked questions to obtain an image as a response.

6. A generative AI, AI agent, or conversational AI system characterized by using the questioning method described in claim 4 or claim 5.

Images