Conversational Strategies for Robustly Managing Dialog in Public Spaces

摘要

Open environments present an attention management challenge for conversational systems. We describe a kiosk system (based on Ravenclaw-Olympus) that uses simple auditory and visual information to interpret human presence and manage the system's attention. The system robustly differentiates intended interactions from unintended ones at an accuracy of 93% and provides similar task completion rates in both a quiet room and a public space.