Integrating Pepper Robot and GPT for Neuromyth Educational Conversation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationEDUCON 2024 - IEEE Global Engineering Education Conference, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350394023
DOIs
Publication statusPublished - 2024
Event15th IEEE Global Engineering Education Conference, EDUCON 2024 - Kos Island, Greece
Duration: May 8 2024May 11 2024

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference15th IEEE Global Engineering Education Conference, EDUCON 2024
Country/TerritoryGreece
CityKos Island
Period5/8/245/11/24

Keywords

  • Education
  • GPT
  • Human-robot interaction
  • Neuromyths

ASJC Scopus subject areas

  • Information Systems and Management
  • Education
  • General Engineering

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