EAGER: AI-DCL: Addressing sociotechnical challenges of conversational agents and interventions in the context of elderly care

EAGER：AI-DCL：解决老年护理背景下对话代理和干预措施的社会技术挑战

• 批准号: 1927190
• 负责人: Maria Gini
• 金额: $ 30万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1927190&HistoricalAwards=false
• 关键词: EAGER; AI; DCL; Addressing; sociotechnical

The investigators will develop and assess an AI Conversational Agent that will assist elderly persons with cognitive decline. The agent will be developed using a dialogic model which is intended to address user issues of comprehension and acceptance; they will function to assist with calendar and event-related tasks. Laboratory development of prototype agents will be followed by assessment of in-home use of the prototypes. There is a very substantial need to develop AI technologies to support those ageing in place, and this project has innovative plans for doing so. These impacts will be achieved by engaging with pertinent stakeholder groups including designers and developers of conversational agents, health care professionals who assist the elderly, and the elderly themselves. More broadly, if the project succeeds in helping the elderly become comfortable with using conversational agents to assist with calendar related tasks, that success may help them to become more comfortable with using AI agents to assist with other activities associated with physical and mental health; in short, the results of this project may serve to address rising health care costs over time.This award supports a research project that uses a human-centered design approach to integrate physiological and conversational data to assess the physical, emotional, and cognitive status of the user. That assessment will then be factored into how a conversation-based voice-activated system responds to the user. The research team will develop a turn-based dialog framework for a conversational assistant. The framework will center around handling calendars and activities, such as social and leisure activities, or health-related appointments for elderly people. It will then be used to develop a prototype AI system that supports daily activity scheduling. The team will also develop personalized user models that factor in cognitive and physical ability when considering how best to interact with elderly users. They will also examine longer-term changes in how older adults or others prefer to interact with a conversational agent, as they gain more familiarity with it. The results of this project will contribute to improving the health, wellbeing, and independence of people who have reduced capacity due to illness or advanced age, or simply who live alone.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

研究人员将开发和评估AI对话剂，该对话剂将帮助认知能力下降的老年人。将使用旨在解决理解和接受用户问题的对话模型开发代理；它们将起作用以协助日历和事件相关的任务。原型剂的实验室开发将评估原型的室内使用。开发AI技术以支持那些衰老的人非常有必要，该项目具有创新的计划。这些影响将通过与相关的利益相关者团体互动，包括对话代理人的设计师和开发人员，协助老年人的卫生保健专业人员以及老年人自己。更广泛地说，如果该项目成功地帮助老年人对使用对话代理协助与日历相关的任务感到满意，那么成功可能会帮助他们更愿意使用AI代理来协助与身心健康相关的其他活动；简而言之，该项目的结果可能有助于解决随着时间的推移的增加的医疗保健费用。该奖项支持一个研究项目，该项目采用以人为中心的设计方法来整合生理和对话数据来评估用户的身体，情感和认知状况。然后，该评估将纳入基于对话的语音激活系统如何响应用户。研究团队将为对话助手开发基于回合的对话框框架。该框架将围绕处理日历和活动，例如社交和休闲活动，或对老年人的健康相关任命。然后，它将用于开发支持日常活动计划的原型AI系统。该团队还将在考虑如何最好地与老年用户互动时开发个性化用户模型，以考虑认知和身体能力。他们还将研究老年人或其他人更喜欢与对话毒剂相互作用的长期变化，因为他们会更加熟悉它。该项目的结果将有助于改善因疾病或高龄而降低能力的人的健康，福祉和独立性，或者仅仅是独自生活的人。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。