Collaborative Research: Towards Life-like Computer Interfaces that Learn

协作研究：迈向逼真的学习计算机界面

• 批准号: 0703916
• 负责人: Jason Leigh
• 金额: $ 49.74万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-02-15 至 2012-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0703916&HistoricalAwards=false
• 关键词: Collaborative; Research; Towards; Life; like

This collaborative project, developing and evaluating lifelike, natural computer interfaces as portals to intelligent programs in the context of Decision Support System (DSS), aims at providing a natural interface that supports realistic spoken dialog, non-verbal cues, and the capability of learning to maintain its knowledge current and correct. The research objectives focus around the development of an avatar-based interface with which the DDS user can interact. Communication with the avatar takes place in spoken natural language combined with gesture expressions or by pointing on the screen. The system supports speaker-independent continuous speech input as a spontaneous dialog within the specified DSS domain. A robust backend that can respond intelligently to the questions asked by the DDS user is expected to generate the responses spoken in reply by the avatar with realistic inflection and visual expressions. The work develops, prototypes, and evaluates the desired user interface capabilities by using the model of a program officer to create a realistic avatar that can answer users' questions and respond in a humanly natural manner. The project extends a current sponsored project on information gathered related to a centers program where a program officer serves as subject matter expert. The recently-developed AlexDSS system that answers questions to users about the I/UCRC program provides the baseline intelligent system behind the avatar. The avatar interfaces are targeted for both general users as well as for experts responsible for updating/correcting the domain knowledge therein. The work represents a collaborative project between the Intelligent Systems Laboratory (ISL) at UCF and the Electronic Visualization Laboratory (EVL) at UIC. The EVL team focuses on avatar development encompassing Visualization and Interaction with Realistic Avatars and Evaluation of System Naturalness and Usability. The ISL team concentrates on Natural Language Recognition and on Automated Knowledge Update and Refinement.

在决策支持系统（DSS）的背景下，该协作项目，开发和评估寿命式的自然计算机接口，作为智能程序的门户，旨在提供一个自然界面，以支持现实的口头对话框，非语言提示，以及学习的能力，以维持其知识当前和正确的知识。研究目标集中在开发基于头像的界面，DDS用户可以与之进行交互。与化身的交流是在口语自然语言与手势表达式相结合或指向屏幕上进行的。该系统支持与说话者无关的连续语音输入，作为指定DSS域中的自发对话框。一个强大的后端，可以对DDS用户提出的问题巧妙地回答，以产生阿凡达（Avatar）以现实的拐点和视觉表达方式回答的回答。这项工作开发，原型和评估所需的用户界面功能，通过使用程序官的模型来创建一个现实的头像，该化身可以回答用户的问题并以人类自然的方式回答。该项目扩展了当前赞助的项目，该项目收集了与中心计划相关的信息，该计划官员担任主题专家。最近开发的Alexdss系统，向用户回答有关I/UCRC程序的问题提供了AFCAT背后的基线智能系统。头像界面均针对普通用户以及负责更新/纠正其中的域知识的专家。这项工作代表了UCF的智能系统实验室（ISL）与UIC的电子可视化实验室（EVL）之间的协作项目。 EVL团队专注于化身开发，包括与逼真的头像的可视化和互动以及对系统自然性和可用性的评估。 ISL团队专注于自然语言识别以及自动化知识的更新和完善。