多模式分析及其数据生态系统

RFMIR '14 Pub Date : 2014-11-16 DOI:10.1145/2666253.2666259
Maria Koutsombogera, Haris Papageorgiou
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引用次数: 4

摘要

如今,灵活的捕获技术允许创建富含多模态会话行为信息的数据集。这些数据包括非语言和会话特征,在交互策略中起着重要作用,并用于开发交互模型。在本文中,我们将从多模态会话分析的角度关注交互行为的表示,同时我们将讨论支持多模态交互领域应用程序开发的数据生态系统的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multimodal Analytics and its Data Ecosystem
Nowadays, flexible capturing techniques allow the creation of datasets rich with information on multimodal conversational behavior. Such data consist in non-verbal and conversational features playing an important role in the interaction strategies and are used for the development of interaction models. In this paper we will focus on the representation of the interactional behavior from the multimodal conversation analysis perspective while we'll discuss the need of a data ecosystem to support the development of applications in the field of multimodal interaction.
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