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用于健壮对话式虚拟教练的对话管理和语言生成:验证和用户研究。

Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study.

机构信息

Speech Interactive Research Group, Universidad del País Vasco UPV/EHU, 48940 Leioa, Spain.

出版信息

Sensors (Basel). 2023 Jan 27;23(3):1423. doi: 10.3390/s23031423.

DOI:10.3390/s23031423
PMID:36772464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9919213/
Abstract

Designing human-machine interactive systems requires cooperation between different disciplines is required. In this work, we present a Dialogue Manager and a Language Generator that are the core modules of a Voice-based Spoken Dialogue System (SDS) capable of carrying out challenging, long and complex coaching conversations. We also develop an efficient integration procedure of the whole system that will act as an intelligent and robust Virtual Coach. The coaching task significantly differs from the classical applications of SDSs, resulting in a much higher degree of complexity and difficulty. The Virtual Coach has been successfully tested and validated in a user study with independent elderly, in three different countries with three different languages and cultures: Spain, France and Norway.

摘要

设计人机交互系统需要不同学科的合作。在这项工作中,我们提出了一个对话管理器和一个语言生成器,它们是一个基于语音的口语对话系统(SDS)的核心模块,能够进行具有挑战性的、长而复杂的辅导对话。我们还开发了一个整个系统的高效集成过程,该系统将作为一个智能和强大的虚拟教练。辅导任务与 SDS 的经典应用有很大的不同,因此其复杂性和难度要高得多。虚拟教练已经在一项涉及独立老年人的用户研究中成功地进行了测试和验证,该研究在西班牙、法国和挪威三个不同的国家和语言文化中进行。

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