Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists

被引:1
|
作者
Suh, Hyewon [1 ]
Dangol, Aayushi [1 ]
Meadan-Kaplansky, Hedda [2 ]
Miller, Carol A. [3 ]
Kientz, Julie A. [1 ]
机构
[1] Univ Washington, Seattle, WA 98195 USA
[2] Univ Illinois, Champaign, IL USA
[3] Penn State Univ, University Pk, PA USA
来源
PROCEEDINGS OF THE 3RD ANNUAL MEETING OF THE SYMPOSIUM ON HUMAN-COMPUTER INTERACTION FOR WORK, CHIWORK 2024 | 2024年
基金
美国国家科学基金会;
关键词
Speech and language difficulties; AI prototyping; Natural language processing; Human-centered design; CLEFT-LIP; THERAPY; BARRIERS; CHILDREN;
D O I
10.1145/3663384.3663387
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Speech-Language Pathologists (SLPs) are professionals who work with children and adults in the prevention, assessment, diagnosis, and intervention for speech, language, and communication difficulties. This research investigates the experiences and perceptions of SLPs regarding the potential for Artificial Intelligence (AI) technologies to support their work. Through a series of three studies, including an online survey, an Asynchronous Remote Community (ARC), and an observation of online communities, we comprehensively explored the challenges faced by SLPs and identified areas where AI-based technologies can offer support. This paper addresses four key areas: 1) the reported needs, constraints, and challenges faced by SLPs in their work, 2) the current perspectives of SLPs on AI and technology, 3) the adoption of AI-based tools by SLPs since the release of advanced generative AI technologies, and 4) the aspects of SLPs' work that can be supported by AI-based tools to increase capacity and improve job satisfaction. Findings from this research contribute to a deeper understanding of SLPs' professional environment and offer insights into the potential benefits and considerations of and design directions for integrating AI into Speech-Language Pathology practice.
引用
收藏
页数:14
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