Integrating Pepper Robot and GPT for Neuromyth Educational Conversation

摘要

The emergence of neuromyths, or false beliefs about brain function and learning, has been a significant challenge in the field of education. These myths often hinders the learning process. Our study delves into this challenge by combining the cutting-edge large language models (LLMs) and humanoid robotics, aiming to dispel neuromyths in an educational setting. By integrating OpenAI's advanced Generative Pre-trained Transformers (GPT) model with a humanoid robot. This study focuses on neuromyth dispelling to investigate the integration of advanced large language models with humanoid robotics in education. We developed a system combining a Pepper robot with OpenAI's GPT model to educate users about common neuromyths. The system was evaluated through interactive sessions, where our queries were assessed on relevance, context, accuracy, response time, and speech recognition fluency. The findings reveal that the system effectively delivers relevant, contextually appropriate, and accurate information. Although response time was moderately rated, it did not significantly impact the overall user experience. The speech recognition system showed high efficiency, ensuring smooth interactions. These results demonstrate the potential of AI-humanoid robot integration as a valuable educational tool, especially for neuromyths. Our research contributes to educational technology by highlighting the effectiveness of such integrations in enriching learning experiences.