{"title":"Human pause and resume behaviours for unobtrusive humanlike in-car spoken dialogue systems","authors":"Jens Edlund, Fredrik Edelstam, Joakim Gustafson","doi":"10.3115/v1/W14-0213","DOIUrl":null,"url":null,"abstract":"This paper presents a first, largely qualitative analysis of a set of human-human dialogues recorded specifically to provide insights in how humans handle pauses and resumptions in situations where the speakers cannot see each other, but have to rely on the acoustic signal alone. The work presented is part of a larger effort to find unobtrusive human dialogue behaviours that can be mimicked and implemented in-car spoken dialogue systems within in the EU project Get Home Safe, a collaboration between KTH, DFKI, Nuance, IBM and Daimler aiming to find ways of driver interaction that minimizes safety issues,. The analysis reveals several human temporal, semantic/pragmatic, and structural behaviours that are good candidates for inclusion in spoken dialogue systems.","PeriodicalId":198983,"journal":{"name":"DM@EACL","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DM@EACL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/v1/W14-0213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a first, largely qualitative analysis of a set of human-human dialogues recorded specifically to provide insights in how humans handle pauses and resumptions in situations where the speakers cannot see each other, but have to rely on the acoustic signal alone. The work presented is part of a larger effort to find unobtrusive human dialogue behaviours that can be mimicked and implemented in-car spoken dialogue systems within in the EU project Get Home Safe, a collaboration between KTH, DFKI, Nuance, IBM and Daimler aiming to find ways of driver interaction that minimizes safety issues,. The analysis reveals several human temporal, semantic/pragmatic, and structural behaviours that are good candidates for inclusion in spoken dialogue systems.
本文首先对一组记录下来的人类对话进行了定性分析,以深入了解人类在说话者看不到对方,而只能依赖声音信号的情况下如何处理停顿和恢复。这项工作是欧盟项目Get Home Safe的一部分,旨在寻找可以模仿和实施车内语音对话系统的不引人注目的人类对话行为,该项目由KTH、DFKI、Nuance、IBM和戴姆勒合作,旨在找到将安全问题降至最低的驾驶员互动方式。分析揭示了几种人类的时间、语义/语用和结构行为,这些行为很适合包含在口语对话系统中。