Conversational Inverse Information for Context-Based Retrieval of Personal Experiences

机译：会话逆向信息用于基于上下文的个人经历检索

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Recent development of capture and archival technology for experiences can serve to extend our memory and knowledge and enrich our collaboration with others. Conversation is an important facet of human experiences. We focus on the conversational participation structure as a type of inverse information associated with human socio-interactional events. Based on an analysis of the Interaction Corpus collected in the Ubiquitous Sensor Room environment, we argue that inverse information can be effectively employed in the retrieval and re-experiencing of the subjective quality of the captured events.

机译：捕获和存档技术在体验方面的最新发展可以扩展我们的记忆和知识，并丰富我们与他人的合作。对话是人类经验的重要方面。我们将对话参与结构作为与人类社会互动事件相关的一种逆向信息而集中。基于对在无处不在的传感器室环境中收集的交互语料库的分析，我们认为逆信息可以有效地用于对捕获事件的主观质量进行检索和重新体验。

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《Japan Society for Artificial Intelligence(JSAI) Annual Conference 2005; 2005;》|2005年|P.365-376|共12页
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作者
Yasuhiro Katagiri; Mayumi Bono; Noriko Suzuki;
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Future University-Hakodate, 116-2 Kamedanakanocho Hakodate Hokkaido, Japan;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;
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Conversational Inverse Information for Context-Based Retrieval of Personal Experiences

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