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化老年人交互式语音应答（IVR）远程呈现系统的使用和可用性。此外，本项目旨在1)开发适应感官限制和参与者认知能力的自适应IVR （AIVR）策略2)通过对每个呼叫者的交互式适应来增加使用IVR系统的动机。专业知识和专有算法的发展，增加了老年人IVR的可用性，将提高加拿大在这个快速增长的市场中的技术优势。计算机辅助交互式语音识别的当前发展允许提出广泛的问题。这些反应可以从自然语音解码成文本，并纳入一个数据库，供卫生从业人员查阅。经过验证的问题的交互式集合可以作为筛选和分类工具，将人们引导到人力资源更密集或成本更高的人力资源部门。我们的长期目标是以这种方式改进远程呈现系统。然而，在这种系统可行之前，还需要克服一个重要的障碍。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效用。因此，目前赠款的目标是开发创新技术以克服这些困难。尽管IVR的算法已经得到了改进，以方便其使用，但所有系统仍然是为“普通人”服务的。本应用程序的目标是开发自适应交互式语音响应（AIVR）系统，该系统可以快速评估用户的一般认知和记忆能力，然后将用户分为两种或更多不同的算法，以适应每个人的认知能力。

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.