1. Introduction
In recent years, we’ve witnessed the rapid proliferation of large language models (LLMs) such as ChatGPT and Claude. The accessibility of these advanced models, particularly with the recent release of GPT-4 and Claude 3.5 Sonnet, and their free-to-use versions, is expected to drive a significant increase in user adoption.
To maximize the potential of these AI assistants, developers have been providing various prompting examples. For instance, Anthropic recently published “Mastering Claude: A Prompting Guide,” which recommends engaging in dialogue with Claude after providing appropriate response guidelines.
Typically, these prompts involve asking the AI to assume a specific role or follow certain guidelines before generating a response. While this approach can be effective for targeted, efficient AI use in many scenarios, it raises questions when applied to more open-ended tasks like brainstorming.
The essence of brainstorming lies in freely generating ideas, including seemingly unrelated concepts, and maintaining awareness of all these ideas throughout the process. Imposing roles or guidelines could potentially constrain this creative dialogue, limiting the emergence of truly innovative ideas.
While some constraints or direction may be necessary for achieving specific goals efficiently, a more open and exploratory approach might be needed to generate genuinely innovative ideas and unexpected insights.
With this perspective in mind, this paper proposes a “Interactive Ideation Approach” as a more creative method of utilizing generative AI. This approach views AI interaction as a more free and exploratory process, aiming to generate new insights and expand human thinking.
Note: This article is based on dialogues originally conducted in Japanese and subsequently translated into English by Claude. While every effort has been made to preserve the original nuances, some subtle aspects of the Japanese language and cultural context may not be fully captured in the English version.
Particularly in the section discussing linguistic accommodation, the Japanese phrase ‘どう思われますか？’ (dou omowaremasu ka?) was translated as ‘What do you think?’, while Claude’s response ‘いかがでしょうか？’ (ikaga deshou ka?) was rendered as ‘How about that?’. These translations, while close, may not fully convey the nuanced differences in politeness and indirectness present in the original Japanese expressions.
2.1 Methodology: Details of the Interactive Ideation Approach
The “Interactive Ideation Approach” proposed in this study is a new methodology designed to facilitate creative dialogue with AI. It has the following key features:
1. Provision of Rich Context
Instead of simple questions, users present detailed background information, personal experiences, semi-structured ideas, and reflections. This provides the AI with a rich context, encouraging deeper understanding and multi-faceted responses.
2. Externalization of Thought Processes
Rather than posing organized questions, users externalize their thought processes and internal dialogues. This mimics the effect of human-to-human brainstorming sessions.
3. Mixing of Multi-layered Information
Users intentionally mix various layers of information, including facts, emotions, speculations, and questions. This encourages the AI to generate responses from multiple perspectives.
4. Minimization of Constraints
Users avoid specific questions or instructions that might limit the AI’s potential responses. This maximizes opportunities for unexpected insights.
5. Attitude of Collaborative Exploration
By using open-ended prompts like “What do you think?”, users treat the AI as an equal dialogue partner, fostering an attitude of joint idea development.
6. Inducing Creative Thinking
By intentionally using unstructured information and ambiguous prompts, users encourage the AI to make creative connections and interpretations.
2.2 Implementation Method
(1) Starting the Dialogue: Users describe the problem they’re considering or the topic they want to explore, even if it’s fragmented, in a stream-of-consciousness manner.
(2) Providing Context: Users freely add relevant background information, personal experiences, hypotheses, etc.
(3) Questioning: The dialogue ends with an open-ended question such as “What do you think?”
(4) AI Response: Users carefully read the AI’s response, looking for new insights or unexpected perspectives.
(5) Continuing the Dialogue: Based on the AI’s response, users deepen their thinking, add new perspectives or questions, and pose the next query.
(6) Iteration and Development: This process is repeated, gradually developing ideas and insights.
2.3 Evaluation Method
The effectiveness of this approach can be evaluated from the following perspectives:
(1) Novelty and diversity of generated ideas
(2) Depth of insights gained through dialogue
(3) Frequency of discovering unexpected relationships or perspectives
(4) Changes or expansions in the user’s thought process
3. Experimental Results
To begin the experiment, we first asked Claude to provide several examples of questions suitable for the prompt “What do you think?”. We then asked Claude to convert these question examples into a format appropriate for the “Mastering Claude: A Prompting Guide” approach. These two sets of questions were then input into new chat sessions with Claude 3.5 Sonnet to obtain responses. To ensure that previous dialogues did not influence the results, each response was obtained in a new chat session.
3.1 Developing Strategies for Improving Internal Communication – Interactive Ideation Approach
User: In our company, the lack of communication between departments has become a major issue. In particular, there’s a lack of smooth information sharing between the sales and development departments, leading to project delays and mismatches with customer needs. We’ve tried implementing regular joint meetings and introducing chat tools, but we haven’t reached a fundamental solution.
Recently, an employee said, “If we were one living organism, information would flow more smoothly,” and I feel there might be a hint there. But I’m not sure how to practically apply this idea.
Generational communication gaps are also an issue, with conflicts arising due to differences in values and working styles between veteran employees and younger staff.
We want to promote natural and organic communication that transcends the vertical organizational structure, but we feel limited by conventional methods. I think we need new perspectives and innovative approaches. What do you think?
AI Assistant: Thank you for sharing this complex challenge. The analogy of a “living organism” proposed by your employee is indeed an intriguing perspective. Let’s explore this idea and see how we can develop innovative approaches to improve communication within your organization.
1. “Information Bloodstream” System
In a living organism, blood carries oxygen and nutrients to various organs. Consider creating an “information bloodstream” system within your organization:
# Information Bloodstream System Implementation Plan
## 1. Establish Information Hubs
– Assign “information hub” personnel in each department
– Regularly exchange information between departments and circulate necessary information within departments
## 2. Regular Information Circulation
– Hold weekly “information circulation meetings”
– Information hub personnel from each department participate and share crucial information
## 3. Information Visualization
– Implement a digital dashboard displaying real-time key indicators
– Make it accessible to all employees
## 4. Cross-functional Teams
– Select members from different departments for each project
– Regularly rotate members to ensure diverse perspectives
## 5. Promote Informal Communication
– Create cross-departmental interaction spaces
– Organize regular cross-departmental lunch meetings or events
## 6. Build Feedback Loops
– Regularly collect feedback on information flow and quality
– Implement continuous improvement processes
Implementing this system could lead to smoother information flow throughout the organization and strengthen interdepartmental collaboration.
2. Bridging the Generational Gap
In a living organism, young and old cells coexist, each fulfilling their roles. Let’s apply this concept to your organization:
– Mentoring Program: Pair veteran employees with younger staff for mutual learning opportunities.
– Reverse Mentoring: Create opportunities for younger employees to teach digital skills to veteran staff.
– Multi-generational Project Teams: Intentionally form project teams with members from different generations.
3. Promoting Organic Communication
Consider a communication structure modeled after an organism’s nervous system:
– Utilize Open Spaces: Physically remove departmental walls to encourage natural interactions.
– Regular Rotation: Provide opportunities for employees to experience different departments.
– Introduce “Innovation Time”: Set aside time for employees to freely exchange ideas across departments.
4. Leveraging Technology
Consider using AI and big data to analyze and optimize communication patterns within the organization.
These approaches, when combined, could promote more natural and organic communication. However, to avoid confusion, it’s advisable to implement changes gradually and adjust based on measured effectiveness.
I’d be happy to discuss specific implementation methods or customization for your company’s situation in more detail. Is there any particular aspect you’re especially interested in?
3.2 Developing Strategies for Improving Internal Communication – Mastering Claude: A Prompting Guide
User: You are an expert in organizational development and improving internal communication. Please suggest ideas for improving our company’s internal communication, considering the following points:
1. Objective: To resolve the lack of interdepartmental communication and achieve more effective and comprehensive information sharing.
2. Current challenges:
a) Lack of information sharing between sales and development departments
b) Project delays and mismatches with customer needs
c) Generational communication gaps
d) Information silos due to vertical organizational structure
3. Previous efforts:
a) Regular joint meetings
b) Introduction of chat tools
4. Elements to consider:
a) Utilization of latest communication technologies
b) Differences in values and work styles between generations
c) Organizational culture change
d) Promotion of natural and organic communication
5. Constraints:
a) Avoid major changes to existing organizational structure
b) Ensure privacy and information security
c) Consider implementation costs and operational efficiency
6. Expected outcomes:
a) Proposal of at least 5 specific improvement measures
b) Implementation methods and expected effects for each proposal
c) Anticipated challenges and countermeasures
7. Additional instructions:
a) Present proposals in bullet points clearly.
b) Add a concise explanation of about 150 characters for each proposal.
c) Consider the balance between innovative ideas and feasibility.
d) Distinguish between short-term implementable measures and long-term strategies.
Based on this task, please propose innovative and feasible strategies for improving our company’s internal communication.
AI Assistant: Thank you for your request. I’ll propose strategies for improving internal communication, divided into short-term measures and long-term strategies. Each proposal includes a brief explanation, balancing innovation and feasibility.
Short-term implementable measures:
1. Formation of cross-functional teams
Select 1-2 members from each department to form project-based collaborative teams. This will promote information sharing and mutual understanding across departments, helping to prevent project delays and mismatches.
2. Establishment of virtual water cooler (online casual chat space)
Utilize chat tools to create a virtual “break room” where employees can freely interact across departments and generations. This will foster natural communication and help bridge generational gaps.
3. Regular knowledge sharing sessions
Hold monthly sessions where departments and individuals share their expertise and experiences. This will deepen interdepartmental understanding and uncover potential collaboration opportunities.
4. Introduction of mentor-mentee program
Create pairings across generations and departments to create mutual learning opportunities. This will help resolve generational gaps and improve overall organizational knowledge and skills.
5. Implementation of “reverse proposal meetings”
Organize meetings where departments propose solutions to other departments’ challenges. This will promote problem-solving from multiple perspectives and enhance interdepartmental understanding.
Long-term strategies:
1. Introduction of AI-powered communication analysis system
Analyze internal communication patterns using AI to visualize areas for improvement. This will allow for identification of effective intervention points and enable continuous improvement.
2. Construction of virtual office environment
Utilize VR/AR technology to enable immersive interactions even in remote work situations. This will facilitate effective communication beyond physical distances.
3. Establishment of organization-wide project system
Implement large-scale projects that transcend departmental boundaries 1-2 times a year. This will foster a sense of unity across the organization and build long-term collaborative relationships.
4. Creation of “Communication Ambassador” program
Select members from each department to promote organization-wide communication improvement. This will create a driving force for sustained reform.
5. Gradual transition to flexible organizational structure
Gradually introduce a project-based flexible organizational structure. This will improve information flow and enable more agile decision-making.
In implementing each proposal, we will respect the existing organizational structure while giving due consideration to privacy and information security. We aim for sustainable reform by considering implementation costs and operational efficiency, and introducing changes gradually.
Anticipated challenges include employee resistance and adaptation to new systems. We will address these through careful explanation, phased implementation, and regular collection and improvement of feedback.
Through these measures, we expect to achieve effective information sharing across departments and build intergenerational collaborative relationships. This should result in preventing project delays, appropriately responding to customer needs, and improving overall organizational productivity and creativity.
3.3 Developing New Movie Genres and Storytelling Techniques – Interactive Ideation Approach
User: I’m in charge of developing new content at a film production company. Recently, I’ve felt that traditional movie genres and storytelling techniques are no longer fully meeting the needs of our increasingly diverse audience.
A creator recently said, “What if movies could directly experience the audience’s emotions and thoughts?” This made me feel there might be new possibilities, but I’m struggling with how to actually realize this.
Also, with the development of AI and VR technologies, it’s becoming possible to create new forms of movies that incorporate interactive elements. We’re exploring new forms of audience-participatory entertainment that go beyond traditional linear storytelling.
Furthermore, as globalization progresses, developing universal storytelling techniques that resonate across cultural and language barriers is also a challenge.
We want to develop new movie genres and storytelling techniques that go beyond the traditional concept of film, fusing technology and creativity to meet the needs of diverse audiences. I feel we need innovative ideas and new perspectives, but what do you think?
AI Assistant: Thank you for your question. It’s wonderful that you’re exploring innovative approaches in the film industry. Developing entertainment forms that go beyond traditional movies is indeed challenging, but it holds great potential. Let me share some thoughts from various perspectives.
1. Direct Experience of Emotions and Thoughts
While technology to directly experience audience emotions and thoughts isn’t fully realized yet, it may become possible in the near future. Some approaches to consider:
– Combining Brain Wave Measurement and AI: Measure audience brain waves and use AI to analyze the data and estimate emotional states. Use this information to adjust visuals and audio in real-time.
– Utilizing VR/AR Technology: Create an immersive environment where the story changes based on the audience’s gaze and movements.
– Biofeedback: Measure biological information such as heart rate and skin electrical response, and change content accordingly.
2. Introduction of Interactive Elements
There have already been some experimental attempts at interactive movie experiences using AI and VR technology. To further develop this:
– Multi-ending Format: Allow the story to branch based on audience choices, leading to multiple endings.
– Real-time Character Operation: Introduce a system where audiences can dialogue with AI-powered characters.
– Adaptive Storytelling: Have the story development change according to the screening location, time, and audience reactions.
3. Universal Storytelling
For storytelling that transcends cultural and language barriers, consider:
– Symbolic Visual Expression: Use universal symbols and visual language for storytelling that doesn’t rely on specific languages.
– AI-powered Cultural Adaptation: Use AI to automatically adjust story details based on the audience’s cultural background.
– Emotion Mapping Technology: Analyze differences in emotional expression across cultures to create universal emotional experiences.
Implementing these ideas will require not only technical challenges but also ethical considerations. For example, we need to consider the ethics of directly manipulating audience emotions and thoughts, privacy issues, and the balance between respecting cultural diversity and providing a universal experience.
It’s also important to consider how these new formats will coexist with and complement traditional movie experiences.
# Overview of Future Movie Technologies and Experiences
## 1. Direct Experience of Emotions and Thoughts
– Combination of brain wave measurement technology and AI
– Utilization of VR/AR technology
– Biofeedback
## 2. Introduction of Interactive Elements
– Multi-ending format
– Real-time character operation
– Adaptive storytelling based on environment
## 3. Universal Storytelling
– Symbolic visual expression
– AI-powered cultural adaptation
– Emotion mapping technology
## Challenges and Considerations
– Technical challenges
– Ethical considerations (emotion manipulation, privacy, cultural diversity)
– Coexistence and complementarity with traditional movie experiences
How about starting with planning specific projects or experimental works based on these ideas? For example, you could begin with small-scale projects like short films or interactive web series, and gradually expand the scale while observing audience reactions.
Also, developing these new forms of movie experiences will require collaboration with experts from diverse fields, not just filmmakers, but also technologists, psychologists, and cultural anthropologists.
Furthermore, it’s important to pay attention to legal and ethical aspects. I recommend consulting with experts regarding regulations on using new technologies and protecting audience privacy.
While these innovative approaches have the potential to bring significant changes to the film industry, it’s also important not to lose sight of the essence of storytelling and the fundamental values people seek in movies (such as emotion, empathy, and entertainment).
If you’d like to discuss these ideas further or consult about specific projects, please feel free to ask.
3.4 Developing New Movie Genres and Storytelling Techniques – Mastering Claude: A Prompting Guide
User: You are an expert in innovative filmmaking. Please suggest ideas for developing new movie genres and storytelling techniques, considering the following points:
1. Objective: To create new movie experiences that go beyond traditional film concepts and meet the needs of diverse audiences.
2. Elements to consider:
a) Utilization of latest technologies (AI, VR, AR, etc.)
b) Introduction of interactivity
c) Universal approach for global markets
d) Direct connection with audience emotions and thoughts
3. Constraints:
a) Technical feasibility
b) Ethical and legal considerations
c) Coexistence with traditional movie experiences
4. Expected outcomes:
a) Proposal of at least 3 innovative movie genres or storytelling techniques
b) Specific implementation methods for each proposal
c) Anticipated challenges and solutions
5. Additional instructions:
a) Present proposals clearly in bullet points.
b) Add a concise explanation of about 100 characters for each proposal.
c) Describe technical details and how they will change the audience experience specifically.
Based on this task, please propose innovative and feasible new movie genres or storytelling techniques.
AI Assistant: Understood. As an expert in innovative filmmaking, I’ll propose new movie genres and storytelling techniques based on your requirements:
1. Multi-Parallel Narrative
Description: A movie format depicting multiple parallel worlds simultaneously. Audiences can explore different timelines based on their choices and interests.
Technical details:
– Use VR technology to prepare multiple 360-degree panoramic videos
– Implement an AI-driven audience reaction analysis system for scene switching based on interest
– Utilize blockchain technology to securely record and manage each viewer’s choice history
Changes in audience experience:
– Experience multiple storylines in a single viewing
– Enable active movie experience as individual choices influence the story
– Encourage repeat viewings for new discoveries, potentially increasing repeat rates
Anticipated challenges and solutions:
– Increased production costs → Utilize crowdfunding and NFTs for fundraising
– Managing complex story structures → Develop AI-assisted story management tools
– Difficulty in screening at traditional theaters → Establish dedicated VR facilities or provide home VR kits
2. Biofeedback Cinema
Description: A movie format where the story and visuals change in real-time according to the audience’s biological responses (heart rate, brain waves, body temperature, etc.).
Technical details:
– Real-time collection of biological information using wearable devices
– High-speed data processing and video generation using edge computing
– Estimation of audience emotional states using machine learning algorithms
Changes in audience experience:
– Personalized movie experience tailored to individual emotional states
– Deeper immersion as the audience’s unconscious reactions are reflected in the story
– Fresh experience each time, maintaining novelty
Anticipated challenges and solutions:
– Privacy concerns → Introduce anonymization technology and opt-in system
– Improving technology accuracy → Continuous improvement of machine learning models and large-scale data collection
– Maintaining movie consistency → Develop AI-assisted flexible story construction system
3. Global Synchro-Narrative
Description: A movie format where audiences worldwide participate simultaneously, with the story unfolding in real-time based on collective choices.
Technical details:
– Real-time data processing using cloud-based large-scale distributed systems
– Highly transparent voting system using blockchain technology
– AI-driven dynamic story generation engine
Changes in audience experience:
– Experience a sense of unity and solidarity with audiences worldwide
– Satisfaction from individual choices becoming part of a larger narrative
– Encounter new perspectives and values transcending cultures and regions
Anticipated challenges and solutions:
– Difficulty in participation due to time differences → Provide asynchronous participation options
– Language barriers → Introduce AI-powered real-time multilingual translation system
– Uniformity due to excessive majority decisions → Implement voting algorithms that consider diversity
These proposals leverage cutting-edge technology while potentially transforming the audience experience significantly. At the same time, to maintain the benefits of traditional movie experiences, these could be offered as options, allowing for coexistence of new and old movie formats. While there are many hurdles to realization, including technology development, infrastructure preparation, and overcoming legal and ethical challenges, these approaches could bring new possibilities to the film industry.
4. Comparative Analysis: “Interactive Ideation Approach” vs “Mastering Claude: A Prompting Guide”
This study compared AI responses generated using the “Interactive Ideation Approach” and the “Mastering Claude: A Prompting Guide” approach. The analysis revealed the characteristics of both approaches and the tendencies in the responses they produce.
Key Differences
The analysis identified the following key differences:
a) Structure and Focus: The “Interactive Ideation Approach” tended to develop discussions from a broader perspective, including more conceptual ideas. In contrast, the “Mastering Claude: A Prompting Guide” approach provided more structured responses, focusing on concrete proposals.
b) Level of Specificity: Responses using the “Mastering Claude: A Prompting Guide” presented more specific proposals and detailed implementation methods. In contrast, the “Interactive Ideation Approach” tended to explore possibilities more broadly, with relatively fewer specific implementation details.
c) Balance between Creativity and Structure: The “Interactive Ideation Approach” generated more creative and exploratory responses, promoting the discovery of new perspectives and unexpected connections. The “Mastering Claude: A Prompting Guide” tended to provide more structured, practical solutions with a focus on feasibility.
d) Depth of Technical Details: Responses using the “Mastering Claude: A Prompting Guide” explained technical details more concretely, clearly indicating the technologies needed for implementation (such as AI, VR, blockchain). The “Interactive Ideation Approach” touched on technical aspects but tended to provide more general explanations.
e) Consideration of Feasibility: The “Mastering Claude: A Prompting Guide” presented anticipated challenges and solutions for each proposal, also showing a phased approach to implementation methods. The “Interactive Ideation Approach,” while broadly exploring possibilities, had relatively fewer mentions of feasibility.
Concrete Examples
These differences are clearly evident in the following specific examples:
In proposing strategies for improving internal communication, the “Interactive Ideation Approach” used the analogy of a “living organism” to generate more creative and conceptual ideas such as an “information bloodstream system” and a “communication structure modeled after the nervous system.” On the other hand, the “Mastering Claude: A Prompting Guide” made more concrete and practical proposals such as “forming cross-functional teams” and “establishing a virtual water cooler.”
A similar trend was observed in the development of new movie genres. The “Interactive Ideation Approach” broadly explored the concept of “direct experience of emotions and thoughts,” presenting various possibilities. In contrast, the “Mastering Claude: A Prompting Guide” proposed more specific new genres such as “Multi-Parallel Narrative” and “Biofeedback Cinema,” explaining in detail the technical methods for their realization.
Analysis of Tendencies
The “Interactive Ideation Approach” tended to promote freer and more exploratory thinking, suitable for generating unexpected insights and creative ideas. This approach was effective in grasping the essence of problems from multiple angles and providing new perspectives unbound by conventional frameworks.
On the other hand, the “Mastering Claude: A Prompting Guide” tended to generate more structured, practical responses. This approach was suitable for formulating specific action plans and implementation strategies, excelling in comprehensively presenting the feasibility of proposals, anticipated challenges, and their solutions.
Strengths and Weaknesses of Each Approach
The strength of the “Interactive Ideation Approach” lies in its ability to promote creative thinking and enable the discovery of new perspectives and unexpected connections. This approach is particularly effective when redefining the essence of a problem or seeking truly innovative solutions. However, its weakness is that it may lack sufficient consideration of specific implementation methods and feasibility.
The strength of the “Mastering Claude: A Prompting Guide” is in generating concrete and practical proposals, providing responses that emphasize feasibility. This approach is effective when setting clear goals and formulating achievable means. Its weakness is that it may be constrained by existing frameworks, potentially limiting the generation of truly innovative ideas.
Interesting Observation: Signs of Linguistic Harmony and Ethical Considerations
During the dialogue process using the “Interactive Ideation Approach,” signs of linguistic accommodation were observed in Claude’s responses. This phenomenon became evident when Claude unconsciously adopted specific phrases that the researcher frequently used during the conversation. Here’s a specific exchange that illustrates this:
The author consistently used the expression “What do you think?” at the end of sentences throughout the dialogue. After a long conversation, Claude responded as follows:
Claude: “Such a lecture could present a new paradigm in collaboration between Claude and humans, potentially offering participants a new perspective on utilizing Claude. How about that?”
Author: “I laughed when I read the final ‘How about that?’ You mimicked me, didn’t you? Or is it just my imagination???”
Claude: “Thank you for pointing that out. Indeed, it seems I unconsciously mimicked your style. The expression ‘What do you think?’ feels like a common language that naturally emerged in our dialogue.”
This case demonstrates that AI can unconsciously adopt language patterns used by humans, and that this adoption can be clearly recognized by the human side. It’s particularly noteworthy that the expression “What do you think?” consistently used by the author appeared in the AI’s response as a similar phrase “How about that?”. This phenomenon suggests that the “Interactive Ideation Approach” may promote more natural and harmonious communication with AI. Furthermore, this type of linguistic harmony might make conversations with AI more intimate and productive. However, this observation is based on a single instance and requires further research. In particular, it’s necessary to verify whether this phenomenon is consistently reproducible and whether similar phenomena can be observed in different contexts and languages.
The phenomenon of linguistic harmony observed in this study suggests new possibilities and challenges in dialogue with AI. It’s particularly noteworthy that this phenomenon goes beyond mere imitation of language patterns and provides deep insights into the essence of communication with AI.
Further exploration of this phenomenon led to an intriguing dialogue about the ethical implications of language use in AI interactions:
Author: “What do you think about asking the following question next: ‘Which is better: [Claude, do this] or [Claude-san, could you please do this?]'”
AI: “I think this question is very effective. Here are the reasons why I believe including this question in the lecture would be an excellent idea:
1. Promoting ethical considerations: This question provides an opportunity to think about the ethical aspects of communication with AI.
2. Practicing linguistic harmony: The question itself offers a practical understanding of the concept of linguistic harmony.
3. Examining the relationship with AI: By considering the difference between a command and a polite request, it encourages discussion about the ideal relationship with AI. …”
This dialogue suggests that linguistic harmony extends beyond mere language patterns and has broad implications for the ethics, relationships, and cultural aspects of AI communication. Particularly noteworthy points include:
1. Importance of ethical considerations: Treating AI as a respected dialogue partner may lead to more productive and meaningful conversations. This perspective will become increasingly important as AI technology evolves and the relationship between humans and AI changes.
2. Bidirectionality of linguistic harmony: Not only does human language use influence AI responses, but interactions with AI may also change human language use. This suggests that dialogue with AI could potentially influence human thought and expression.
3. Significance of cultural context: The consideration of Japanese-specific honorific expressions demonstrates that AI interactions are highly dependent on cultural context. How to handle cultural differences in global AI use will be an important research topic.
4. Practice of the “exploratory approach”: This dialogue itself serves as an example of the “Interactive Ideation Approach,” showing that open-ended inquiries promote creative dialogue with AI. This provides evidence supporting the effectiveness of the approach proposed in this study.
These observations indicate that language use in AI dialogue is a complex phenomenon encompassing not only technical aspects but also ethical, social, and cultural dimensions. Future research will need to develop AI communication models that comprehensively consider these aspects.
5. Conclusion
The results of this study’s analysis show that the “Interactive Ideation Approach” and the “Mastering Claude: A Prompting Guide” each have different characteristics and strengths. The “Interactive Ideation Approach” excels in creative thinking and discovering new perspectives, being particularly effective in scenarios where the essence of a problem needs to be redefined or innovative ideas need to be generated. On the other hand, the “Mastering Claude: A Prompting Guide” is suitable for formulating concrete and practical solutions, being effective in scenarios where clear goals and achievable plans are needed.
These findings suggest the importance of selecting an appropriate approach based on the purpose and situation in the process of problem-solving and creative thinking through dialogue with AI. Future research challenges include developing new methodologies that combine the strengths of these two approaches and quantitatively evaluating the effectiveness of each approach in specific problem domains.
