I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social Robots

Autor:	Abbo, Giulio Antonio, Belpaeme, Tony
Rok vydání:	2023
Předmět:	Computer Science - Robotics Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	In the rapidly evolving landscape of human-computer interaction, the integration of vision capabilities into conversational agents stands as a crucial advancement. This paper presents an initial implementation of a dialogue manager that leverages the latest progress in Large Language Models (e.g., GPT-4, IDEFICS) to enhance the traditional text-based prompts with real-time visual input. LLMs are used to interpret both textual prompts and visual stimuli, creating a more contextually aware conversational agent. The system's prompt engineering, incorporating dialogue with summarisation of the images, ensures a balance between context preservation and computational efficiency. Six interactions with a Furhat robot powered by this system are reported, illustrating and discussing the results obtained. By implementing this vision-enabled dialogue system, the paper envisions a future where conversational agents seamlessly blend textual and visual modalities, enabling richer, more context-aware dialogues. Comment: 8 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2311.08957 Zobrazit plný text záznamu View this record from Arxiv