intentionrecognition
Intention recognition refers to the process of inferring the goals or planned outcomes of an agent from observed behavior, context, and signals. In artificial intelligence, human-computer interaction, and robotics, it aims to predict what a person or system intends to do next, based on partial observations such as actions, utterances, gaze, or sensor data. Accurate intention recognition supports proactive assistance, safer autonomy, and more natural interaction.
Methodologically, intention recognition is often organized into plan recognition and intent detection. Plan recognition reasons about
Data sources include natural language queries, user actions, gaze tracking, gesture, and environmental cues. Applications span
Challenges include uncertainty and partial observability, noise in measurements, real-time requirements, and heterogeneity of data modalities.
Evaluation typically reports accuracy or calibration of inferred intents, time-to-detection, and decision quality in downstream tasks.