Thesis / Dissertation

Gaze-Based Intention Recognition for Human-Agent Collaboration: Towards Nonverbal Communication in Human-AI Interaction

Joshua Jiun Wei Newn, Frank Vetere (ed.)

Published : 2020

Abstract

Human-agent collaboration has repeatedly been proposed over the decades as a way forward to leverage the strengths of artificial intelligence. As it has become common for humans to work and play alongside intelligent agents, it is increasingly imperative to improve the capacity of agents to interact with their human counterparts socially, naturally and effectively. However, current agents are still limited in their capacity to recognise nonverbal signals and cues, which in turn, limits their capabilities for natural interaction. This thesis addresses this limitation by investigating how artificial agents might support humans in real-time collaboration, given the increased capacity to recogni..

View full abstract