Combining Planning with Gaze for Online Human Intention Recognition

Abstract

Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. People use many behavioural cues to infer others' intentions, such as deliberative actions, facial expressions, eye gaze, and gestures. In artificial intelligence, two approaches for intention recognition, among others, are gaze-based and model-based intention recognition. Approaches in the former class use gaze to determine which parts of a space a person looks at more often to infer a person's intention. Approaches in the latter use models of possible future behaviour to rate intentions as more likely if they are a better 'fit' to observed actions. In this paper, we propose a novel..