QuickPic AAC: An AI-Based Application to Enable Just-in-Time Generation of Topic-Specific Displays for Persons Who Are Minimally Speaking

3区综合性期刊 Q1 Medicine

International Journal of Environmental Research and Public Health Pub Date : 2024-08-29 DOI:10.3390/ijerph21091150

Christina Yu, Ralf W. Schlosser, Maurício Fontana de Vargas, Leigh Anne White, Rajinder Koul, Howard C. Shane

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引用次数: 0

Abstract

As artificial intelligence (AI) makes significant headway in various arenas, the field of speech–language pathology is at the precipice of experiencing a transformative shift towards automation. This study introduces QuickPic AAC, an AI-driven application designed to generate topic-specific displays from photographs in a “just-in-time” manner. Using QuickPic AAC, this study aimed to (a) determine which of two AI algorithms (NLG-AAC and GPT-3.5) results in greater specificity of vocabulary (i.e., percentage of vocabulary kept/deleted by clinician relative to vocabulary generated by QuickPic AAC; percentage of vocabulary modified); and to (b) evaluate perceived usability of QuickPic AAC among practicing speech–language pathologists. Results revealed that the GPT-3.5 algorithm consistently resulted in greater specificity of vocabulary and that speech–language pathologists expressed high user satisfaction for the QuickPic AAC application. These results support continued study of the implementation of QuickPic AAC in clinical practice and demonstrate the possibility of utilizing topic-specific displays as just-in-time supports.

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QuickPic AAC：基于人工智能的应用程序，可及时为微言者生成特定主题的显示屏

随着人工智能（AI）在各个领域取得重大进展，语言病理学领域正处于向自动化转型的边缘。本研究介绍了 QuickPic AAC，这是一款人工智能驱动的应用程序，旨在以 "及时 "的方式从照片中生成特定主题的显示。通过使用 QuickPic AAC，本研究旨在（a）确定两种人工智能算法（NLG-AAC 和 GPT-3.5）中哪一种算法能带来更高的词汇特异性（即相对于 QuickPic AAC 生成的词汇，临床医生保留/删除的词汇百分比；修改的词汇百分比）；以及（b）评估执业语言病理学家对 QuickPic AAC 可用性的感知。结果显示，GPT-3.5 算法始终能提高词汇的特异性，而且言语病理学家对 QuickPic AAC 应用程序的用户满意度很高。这些结果支持继续研究 QuickPic AAC 在临床实践中的应用，并证明了利用特定主题显示作为及时支持的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Environmental Research and Public Health Medicine-Public Health, Environmental and Occupational Health

CiteScore

7.30

自引率

0.00%

发文量

14422

审稿时长

1 months

期刊介绍： International Journal of Environmental Research and Public Health (IJERPH) (ISSN 1660-4601) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes, and short communications in the interdisciplinary area of environmental health sciences and public health. It links several scientific disciplines including biology, biochemistry, biotechnology, cellular and molecular biology, chemistry, computer science, ecology, engineering, epidemiology, genetics, immunology, microbiology, oncology, pathology, pharmacology, and toxicology, in an integrated fashion, to address critical issues related to environmental quality and public health. Therefore, IJERPH focuses on the publication of scientific and technical information on the impacts of natural phenomena and anthropogenic factors on the quality of our environment, the interrelationships between environmental health and the quality of life, as well as the socio-cultural, political, economic, and legal considerations related to environmental stewardship and public health. The 2018 IJERPH Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJERPH. See full details at http://www.mdpi.com/journal/ijerph/awards.