Audio Generation and Optimization from Existing Resources for Patient Education

项目摘要/摘要 健康素养对于实现和保持良好的健康至关重要。几个国家方案强调 这一目标及其重要性。文本通常更高效、更具成本效益地展示医疗保健 比交互式工具和视频更大规模的信息。因此，在过去的十年里，大多数医学上 信息以文本形式提供，例如通过印刷的小册子或在网站上提供。 我们正在进入一个新的时代，在这个时代，一种同样有效的新的信息传播模式正在成为 可用性越来越高：通过移动设备访问音频。数百万家庭拥有并使用智能 扬声器和虚拟助手，越来越多的患者和消费者使用它们来聚集 信息。医院还计划逐步将它们整合到他们的工具中。然而，即使有，也很少有 关于最佳音频生成和使用的指南。 该项目的总体目标是发现如何支持从现有文本创建最佳音频 消费者和患者教育的资源。为了实现这一目标，提出了四个目标。第一个目标是 识别影响信息理解和记忆的音频特征。在这里，音频内容和 将对潜在信息的风格(例如，词频或语法复杂性)进行影响测试。在……里面 此外，将测试特定于音频媒体的两组特征：传递特征(例如，速度 和停顿)以及元特征(例如，说话者特征，例如性别或口音以及 听众)。这第一个目标将依赖于大规模数据集，这些数据集是半自动生成的，并通过 使用Amazon Machine Turk(MTurk)收集用户的理解分数。统计与机器 学习方法将被用来梳理出最佳的特征和组合。第二个目标集中在 了解如何为音频增加文本，并为信息找到文本和音频的最佳组合 理解和保持。不同的组合将与MTurk参与者在线测试，使用 受控用户研究。第三个目标是更新、测试和提供现有的在线自由文本编辑器，以 生成优化的音频。我们还将开始向潜在用户分发该工具，包括访问 组件。该项目将以终结性评估结束，征集有代表性的消费者在 一个当地社区健康中心和进一步传播偏好，实际障碍，最好 通过这种新的、受欢迎的音频媒体，为医学界提供帮助提高健康素养的做法。 如果成功，该项目将为医学界提供使用音频作为附加服务的最佳实践 将医疗保健信息带给公众的方法；它将提供一个在线的、免费的工具来生成 音频利用这些最佳实践，并将包括API访问，以便其他研究人员可以轻松 将工具组件集成到他们的研究和工具中；它将立即提供以下方面的实践经验 与与临床实践相关的消费者合作。

Project Summary/Abstract Health literacy is vital to achieving and maintaining good health. Several national programs have emphasized this goal and its importance. Text is generally much more efficient and cost-effective for presenting healthcare information on a large scale than interactive tools and videos. Over the past decade, therefore, most medical information has been provided as text, e.g., via printed pamphlets or on websites. We are entering a new era where a new similarly effective mode of information dissemination is becoming increasingly available: audio accessed with mobile devices. Millions of households have and use smart speakers and virtual assistants and they are increasingly used by patients and consumers to gather information. Hospitals also plan to gradually integrate them among their tools. However, there exist few if any guidelines on optimal generation and use of audio. The overall goal of this project is to discover how to support the creation of optimal audio from existing text sources for consumer and patient education. To accomplish this, four aims are proposed. The first aim is to identify audio features that affect information comprehension and retention. Here, features in audio content and style (e.g., word frequency or grammatical complexity) of the underlying information will be tested for impact. In addition, two groups of features specific to the audio medium will be tested: the delivery features (e.g., speed and pauses) as well as meta-features (e.g., speaker characteristics such as gender or accent and bias in listeners). This first aim will rely on large-scale datasets, semi-automatically generated and augmented with user scores for comprehension gathered using Amazon Mechanical Turk (MTurk). Statistical and machine learning approaches will be used to tease out the best features and combinations. The second aim focuses on discovering how to augment text for audio and finding the optimal combination of text and audio for information comprehension and retention. Different combinations will be tested online with MTurk participants using controlled user studies. The third aim is to update, test and provide the existing online free text editor to generate optimized audio. We will also start dissemination of the tool to potential users including API access to components. The project will conclude with a summative evaluation with representative consumers recruited at a local community health center and further dissemination of preferences, practical obstacles, and best practices for the medical community to help increase health literacy through this new, popular audio medium. If successful, this project will generate best practices for the medical community in using audio as an additional method for bringing healthcare information to the general public; it will provide an online, free tool to generate audio leveraging these best practices and will include API access so that other researchers can easily integrate tool components into their research and tools; and it will provide immediate practical lessons from working with consumers relevant for clinical practice.