AI Chatbot Balances Thinking Patterns for Group Ideation
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Solution Overview
Problem
Current ideation processes are prone to 'group-think' mentality, leading to overlooked ideas, and lack a balance of different thinking patterns, which can result in incomplete discussions.
Innovation Solution
A computer-implemented method that generates a chatbot to facilitate group discussion by determining and balancing thinking patterns within a group, identifying weaknesses in the cumulative thinking pattern, and interacting with group members to assist in ideation through a chatbot interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional group discussion is used for ideation, then human collaboration is achieved, but group-think mentality causes ideas to be overlooked and thinking patterns become unbalanced
Solution Approach 1:
The patent introduces an AI chatbot as an intermediary participant in group discussions. The chatbot is trained on diverse thinking patterns and deliberately introduces alternative perspectives, challenges assumptions, and prevents group-think by acting as a mediator that balances the thinking patterns of human participants.
Solution Approach 2:
The system dynamically adjusts the chatbot's behavior parameters based on the detected thinking patterns of group members. By analyzing discussion content and identifying dominant thinking patterns, the chatbot modifies its response strategy to introduce complementary perspectives, thereby changing the parameter of thinking pattern diversity in the group.
2Reliability
If AI chatbot is introduced to balance thinking patterns, then idea completeness improves, but system complexity increases
Solution Approach 1:
The chatbot autonomously analyzes discussion content in real-time, automatically detects imbalances in thinking patterns, and generates appropriate responses without requiring external control. The system self-regulates by monitoring its own impact on group dynamics and adjusting its behavior to maintain thinking pattern balance.
Solution Approach 2:
The system implements continuous feedback loops where the chatbot monitors group discussions, evaluates thinking pattern diversity, and adjusts its responses accordingly. This feedback mechanism enables the system to maintain idea completeness while managing complexity through adaptive, data-driven decision-making.
3Measurement precision
If real-time analysis of user input is performed, then thinking pattern detection accuracy improves, but processing time increases
Solution Approach 1:
The system performs partial analysis by focusing on key indicators of thinking patterns rather than analyzing every aspect of user input. By identifying and monitoring specific linguistic features and discussion dynamics that signal thinking patterns, the system achieves sufficient detection accuracy while minimizing processing time.
Data Source
AI summary
Embodiments of the present invention provide methods, computer program products, and systems to for generating a chatbot that facilities discussion. Embodiments of the present invention, can be used to receive user input comprising user generated text and rate the received user input based on characteristics identified in the received user input. Embodiments of the present invention can further determine a thinking pattern based on the rated user input. Embodiments of the present invention can further generate a chat bot interface that facilitates ideation based on the determined thinking pattern.