Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists
Authors: 
Hyewon Suh, Aayushi Dangol, Hedda Meadan, Carol A. Miller, 
Julie A. KientzAuthors Info & Claims
Hyewon Suh, Aayushi Dangol, Hedda Meadan, Carol A. Miller, Julie A. KientzAuthors Info & ClaimsArticle No.: 14, Pages 1 - 14
Abstract
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.
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Index Terms
- Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists
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June 2024
297 pages
ISBN:9798400710179
DOI:10.1145/3663384
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