Validation of an interactive voice response protocol to evaluate cognitive status in an older population

本项目的主要长期目标是最大限度地利用老年人的交互式语音应答(IVR)远程呈现系统。此外，本项目的目标是1)开发适应参与者的感觉限制和认知能力的适应性IVR(AIVR)策略2)通过对每个呼叫者的交互适应来增加使用IVR系统的动机。提高老年人IVR可用性的专业知识和专有算法的开发，将提高加拿大在这个快速增长的市场中的技术优势。目前在计算机辅助的交互式语音识别方面的发展使人们可以提出广泛的问题。这些回复可以从自然语音解码为文本，并整合到数据库中，供健康从业者查阅。经过验证的问题的交互式集合可以作为筛选和分类工具，将人们引导到人员密集型或成本密集型的人力资源。我们的长期目标是以这种方式改进远程呈现系统。然而，在这些系统可行之前，还有一个重要的障碍需要克服。简单地说：很高比例的老年人不喜欢、不想使用或不能使用IVR远程呈现系统。这严重限制了它们的实用性。因此，本赠款的目标是开发克服这些困难的创新技术。尽管IVR算法已经有了改进，以方便其使用，但所有系统的开发仍然是为了服务于“普通”人。本应用的目标是开发自适应交互式语音应答(AIVR)系统，该系统可以快速评估用户的一般认知和记忆能力，然后将用户分类为两种或更多适合于每个人的认知能力的不同算法。

The main long-term objective of the present project is to maximize the use and usability of Interactive VoiceResponse (IVR ) tele-presence systems for elderly people. Furthermore, this project aims 1) to developadaptive IVR (AIVR) strategies hat adapt to the sensory limitations and the cognitive abilities of participants 2)to increase the motivation to use the IVR systems through an interactive adaptation to each caller. Thedevelopment of expertise and proprietary algorithms that increase the usability of IVR for older people willimprove Canada's technological edge in that fast-growing market. The current developments incomputer-assisted interactive voice recognition allow an extensive range of questions to be asked. Theresponses can be decoded from natural speech to text, incorporated in a database that can be consulted byhealth practitioners. An interactive collection of validated questions can act as a screening and triage tool todirect people to human resources that are more personnel- or cost-intensive. Our long-term goals are toimprove tele-presence systems in this way. However, before such systems are workable, an important obstacle much be overcome. Put simply: a high percentage of elderly people do not like, do not want to use or cannot use IVR tele-presence systems. This seriously limits their utility. Therefore, the objectives of the present grant concern development of innovativetechnologies to overcome these difficulties. Although there has been improvement in IVR algorithms tofacilitate its use, all systems are still developed to serve an "average" person. The goal of the presentapplication is to develop adaptive Interactive Voice Response (AIVR) systems that can quickly evaluate thegeneral cognitive and memory abilities of users and then triage users into two or more different algorithmsadapted to each person's cognitive ability.