@misc{Awasthi, type = {Master Thesis}, author = {Awasthi, Sudarshan}, title = {Pepper ChatGPT System as a Study Programme Guide for Students}, school = {Hochschule Rhein-Waal}, abstract = {This thesis centers on enhancing the humanoid Pepper robot with Artificial Intelligence-driven information delivery capabilities in an educational setting using Large Language Model at student service centers. In this work, Pepper was connected to GPT-Engine to act as a voice assistant robot. With the help of GPT-Engine Pepper can answer questions about the University and its study programmes. The enhancement involves a client-server architecture, where the client-side application enables students to interact with Pepper via speech, and the server-side, equipped with AI functionalities, processes these interactions and generates appropriate responses. This setup significantly augments Pepper's capabilities, allowing for more accurate and efficient information delivery. An experiment was conducted with nine student participants of Hochschule-Rhein Waal, where they asked questions about the University and study Programmes to inform themselves about the University and Study Programmes. During the interaction, they evaluated the robot's clarity of communication, accuracy of responses, and overall user experience. The findings indicate that while the AI enhancements generally improved Pepper's ability to communicate and provide information, areas such as voice recognition and response accuracy require further improvement. This research contributes to the field of human-robot interaction by illustrating a practical approach to augmenting existing service robots with AI capabilities. It underscores the importance of advanced AI integration in enhancing the functionality of service robots in educational environments. The study provides valuable insights into the broader application of AI-enhanced robots in the Information Guide role, highlighting the ongoing need for technological advancements in AI integration and humanrobot interaction.}, language = {en} }