AUTOMATIC ADAPTATION EXPERTS FOR COMPUTER ACCESS AND AAC

优化辅助技术与其用户之间的匹配， 这对最大化该技术的性能至关重要。两者 推荐辅助技术的临床医生， 技术本身也有责任确保 尽可能满足客户的需求。 我们建议开发基于软件的“适应专家”，可以 在现有的（和未来的）计算机访问软件中实现， 增强的通信系统。 每个适应专家将 负责确定其内部特定参数的值， 特别是计算机访问或增强通信系统。 在 第一阶段，适应专家将实施一个词的预测 系统 这些适应专家将在临床期间接受评估。 活跃于计算机访问的用户和临床医生的试验， 增强沟通 在第二阶段，适应专家将 实现用于附加输入（例如，行/列扫描，莫尔斯码） 以及文本输入速率增强（例如，缩写扩展） 技术. 拟定商业应用： 第一阶段培养的适应专家将有助于 各种计算机访问软件和辅助通信 目前使用单词预测的系统。额外 在这项研究中开发的适应专家的应用是 在临床评估工具中。 在这方面，适应专家 将识别单词预测接口的最佳配置 基于用户的能力。 增加适应专家， 在第二阶段，将增加适应的应用程序， 专家方法将是一个可行的选择。

Optimizing the fit between an assistive technology and its user is critical for maximizing the performance with that technology. Both the clinician who recommends an assistive technology and that assistive technology itself share the responsibility for making certain that the client's needs are matched as closely as possible. We propose to develop software-based "adaptation experts that can be implemented within existing (and future) computer-access software and augmentative communication systems. Each adaptation expert will be responsible for determining the value of a specific parameter within its particular computer access or augmentative communication system. In Phase I, adaptation experts will be implemented for a word prediction system. These adaptation experts will be evaluated during clinical trials by both users and clinicians active in computer access and augmentative communication. During Phase II adaptation experts will be implemented for additional input (e.g., row/column scanning, Morse code) and text entry rate enhancement (e.g., abbreviation expansion) techniques. PROPOSED COMMERCIAL APPLICATION: The adaptation experts developed during Phase I will be useful for a variety of computer access software and augmentative communication systems that currently make use of word prediction. An additional application of the adaptation experts developed during this research is within a clinical assessment tool. In this role, the adaptation experts will identify an optimal configuration for a word prediction interface based on a user's abilities. Additional adaptation experts, developed during Phase II, will increase the applications in which the adaptation expert approach will be a viable alternative.