SpeechMatch- 一种新的数字方法来支持神经多样性群体的沟通
Sarah Lennard1,2, Samuel J Tromans3,4, Robert Taub5
1Department of Intellectual Disability Neuropsychiatry, Research Team Cornwall Partnership NHS Foundation Trust Truro UK.
Healthcare technology letters
|December 25, 2024
概括
一个通信应用程序SpeechMatch在智力障碍,自闭症和中风幸存者中获得了很高的接受度. 对于这个数字语言培训工具,建议改进平台功能和用户参与度.
科学领域:
- 语音语言病理学 语言病理学
- 辅助技术是指辅助技术的使用.
- 数字健康干预措施 数字健康干预措施
背景情况:
- 沟通挑战对智力障碍,自闭症和中风幸存者产生重大影响.
- 这些挑战可能会导致社会耻辱和更差的健康结果.
- 语音匹配应用程序提供移动语言培训,具有视觉反,用于情绪识别和语言表达.
研究的目的:
- 评估SpeechMatch应用程序在智力障碍,自闭症和中风幸存者中的可接受性和实用性.
- 通过与用户共同制作,探索SpeechMatch的优缺点.
- 评估SpeechMatch在改善弱势群体沟通方面的潜力.
主要方法:
- 混合方法评估,包括与"经验专家" (用户) 合作制作的技术.
- 在目标用户群体中评估SpeechMatch的接受度和范围.
- 在四个关键领域收集数据,以了解用户的观点.
主要成果:
- 该研究发现,在所有评估组中,SpeechMatch应用程序的接受度很高.
- 改进的关键领域包括平台功能和用户参与策略.
- 用户反强调了需要增强功能来最大限度地提高应用程序的实用性.
结论:
- SpeechMatch展示了作为面临言语和语言挑战的个人沟通辅助工具的巨大潜力.
- 基于证据的质量改进对SpeechMatch和类似的数字通信工具至关重要.
- 专注于用户参与和增强功能的进一步开发可以优化应用程序的有效性.
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