SHB: Large: Collaborative Research: Companionbots for Proactive Therapeutic Dialog on Depression

SHB：大型：协作研究：抑郁症主动治疗对话的伴侣机器人

• 批准号: 1262860
• 负责人: Rodney Nielsen
• 金额: $ 111.88万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262860&HistoricalAwards=false
• 关键词: SHB; Large; Collaborative; Research; Companionbots

This collaborative research investigates a new class of dialog-based, home robotic healthcare assistants to facilitate a new level of in-home, real-time care to elderly and depressed patients, providing lower total costs and higher quality of life. An emotive, physical avatar, called a companionbot, which possesses the ability to engage humans in a way that is unobtrusive and suspends disbelief will be built in this project. The companionbot will be an integration of human language technology, vision, other sensory processing and emotive robotic technology to proactively recognize and dialog with isolated and elderly patients suffering from depression. The companionbot will utilize proactive or companionable dialog based on the context with users suffering from depression. This will require the first multimodal integration of a user model, environment model, and temporal processing with spoken dialog understanding and generation to produce dynamic dialog and emotive interaction, beyond the traditional scripted dialog and emotion. Object recognition, facial expression recognition, and human activity recognition will augment natural language processing to provide current and historical context important to dynamic dialog. A team of skilled researchers, assembled from the University of Colorado Boulder, University of Denver, CU Anschutz Medical Campus, and Boulder Language Technologies, will work together to achieve the project goals. The investigators will use the companionbots as a tool to run clinical trials to monitor and dialog with their partners to detect signs of physical and emotional deterioration. The companionbots can then notify remote caregivers, as necessary, provide warnings, reminders, life coaching and therapeutic dialog, extending independence and quality of life, and even saving lives. The other benefits of such a system include continuous, annotated data to improve doctor-patient interaction and analysis, real-time monitoring of mental state for remote healthcare providers and, ultimately, real-time intervention as part of a comprehensive treatment strategy.In addition, this research will promote both STEM practice and research education at the graduate and the undergraduate levels of the affiliated institutions. The companionbots are ideal for teaching the next generation of engineers and scientists in critical emerging technologies, as they permit either a deep focus on specific topics or an interdisciplinary perspective while providing a simple high-level interface to manage everything else. Furthermore, the project will develop related educational material to support others and will provide public outreach to K-12 classes in the area.

这项合作研究调查了一类新的基于对话的家庭机器人医疗助理，以促进对老年人和抑郁症患者的家庭实时护理的新水平，从而降低总成本并提高生活质量。一个情感，物理化身，称为伴侣机器人，它拥有的能力，从事人类的方式是不引人注目的，并暂停怀疑将建立在这个项目中。该机器人将整合人类语言技术、视觉、其他感官处理和情感机器人技术，以主动识别孤立的老年抑郁症患者并与之对话。陪伴机器人将基于与患有抑郁症的用户的上下文利用主动或可陪伴的对话。这将需要用户模型、环境模型和时间处理与口语对话理解和生成的第一次多模态集成，以产生动态对话和情感交互，超越传统的脚本对话和情感。对象识别、面部表情识别和人类活动识别将增强自然语言处理，为动态对话提供重要的当前和历史上下文。由科罗拉多大学博尔德分校、丹佛大学、CU Anschutz医学院和博尔德语言技术公司组成的一个熟练的研究人员团队将共同努力实现项目目标。研究人员将使用伴侣机器人作为一种工具来进行临床试验，以监测并与他们的伴侣对话，以检测身体和情绪恶化的迹象。然后，陪伴机器人可以根据需要通知远程护理人员，提供警告，提醒，生活指导和治疗对话，延长独立性和生活质量，甚至挽救生命。这种系统的其他好处包括连续的注释数据，以改善医生与患者的互动和分析，实时监测远程医疗服务提供者的精神状态，并最终作为综合治疗策略的一部分进行实时干预。此外，这项研究将促进附属机构研究生和本科生的STEM实践和研究教育。陪伴机器人是教授下一代工程师和科学家关键新兴技术的理想选择，因为它们允许深入关注特定主题或跨学科视角，同时提供简单的高级界面来管理其他一切。此外，该项目将编制相关的教育材料，以支持其他人，并将向该地区的K-12班提供公共宣传。