{"title":"人机交互多模态接地计算模型","authors":"Shuyin Li, B. Wrede, G. Sagerer","doi":"10.3115/1654595.1654626","DOIUrl":null,"url":null,"abstract":"Dialog systems for mobile robots operating in the real world should enable mixed-initiative dialog style, handle multi-modal information involved in the communication and be relatively independent of the domain knowledge. Most dialog systems developed for mobile robots today, however, are often system-oriented and have limited capabilities. We present an agent-based dialog model that are specially designed for human-robot interaction and provide evidence for its efficiency with our implemented system.","PeriodicalId":426429,"journal":{"name":"SIGDIAL Workshop","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A computational model of multi-modal grounding for human robot interaction\",\"authors\":\"Shuyin Li, B. Wrede, G. Sagerer\",\"doi\":\"10.3115/1654595.1654626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dialog systems for mobile robots operating in the real world should enable mixed-initiative dialog style, handle multi-modal information involved in the communication and be relatively independent of the domain knowledge. Most dialog systems developed for mobile robots today, however, are often system-oriented and have limited capabilities. We present an agent-based dialog model that are specially designed for human-robot interaction and provide evidence for its efficiency with our implemented system.\",\"PeriodicalId\":426429,\"journal\":{\"name\":\"SIGDIAL Workshop\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGDIAL Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1654595.1654626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGDIAL Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1654595.1654626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A computational model of multi-modal grounding for human robot interaction
Dialog systems for mobile robots operating in the real world should enable mixed-initiative dialog style, handle multi-modal information involved in the communication and be relatively independent of the domain knowledge. Most dialog systems developed for mobile robots today, however, are often system-oriented and have limited capabilities. We present an agent-based dialog model that are specially designed for human-robot interaction and provide evidence for its efficiency with our implemented system.
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