公共空间对话稳健管理的会话策略

DM@EACL Pub Date : 2014-04-01 DOI:10.3115/v1/W14-0211

Aasish Pappu, Ming Sun, Seshadri Sridharan, Alexander I. Rudnicky

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引用次数: 0

摘要

开放环境对会话系统提出了注意力管理的挑战。我们描述了一个kiosk系统(基于拉文克劳-奥林巴斯)，它使用简单的听觉和视觉信息来解释人类的存在并管理系统的注意力。该系统能够区分有意互动和无意互动，准确率高达93%，在安静的房间和公共空间都能提供相似的任务完成率。

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Conversational Strategies for Robustly Managing Dialog in Public Spaces

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.

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