紧急情况下,点披萨:紧急情况下的行动形成和认识

Saul Albert, W. Housley, E. Stokoe
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引用次数: 7

摘要

语音技术面临的最大挑战是动作识别。这在一定程度上是因为目前的方法优先考虑抽象的上下文而不是实际的行动,并且往往通过模仿脚本,通常是刻板的对话来忽略谈话的细节,顺序结构。本文分析了呼叫者和911调度员如何协同工作以实现行动识别的紧急情况。我们概述了他们的“可见但未被注意”的互动方法,并建议计算系统如何从对话分析中学习,并使用微观分析细节来识别社会行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In case of emergency, order pizza: an urgent case of action formation and recognition
The biggest challenge for voice technologies is action recognition. This is partly because current approaches prioritize abstract context over practical action, and tend to ignore the detailed, sequential structure of talk by emulating scripted, often stereotypical dialogue. This provocation paper analyzes an urgent case of how a caller and a 911 dispatcher work together to achieve action recognition. We outline their 'seen but unnoticed' interactional methods and suggest how computational systems can learn from conversation analysis and use micro-analytic detail to recognize social actions.
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