TY - GEN
T1 - Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists
AU - Suh, Hyewon
AU - Dangol, Aayushi
AU - Meadan, Hedda
AU - Miller, Carol A.
AU - Kientz, Julie A.
N1 - This paper is supported under the AI Research Institutes program by National Science Foundation and the Institute of Education Sciences, U.S. Department of Education, through Award 2229873 - AI Institute for Transforming Education for Children with Speech and Language Processing Challenges or National AI Institute for Exceptional Education. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, the Institute of Education Sciences, or the U.S. Department of Education. This work was also supported partially by the Jacobs Foundation-funded CERES network. We would also like to acknowledge Abbie Olszewski, Alison Hendricks, Pamela Hadley, Jinjun Xiong, Srirangaraj Setlur, and Christine Wang for their input and support in survey recruitment. Finally, we wish to thank the study participants who gave their time and perspectives toward this research.
PY - 2024/6/25
Y1 - 2024/6/25
N2 - 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.
AB - 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.
KW - AI prototyping
KW - Human-centered design
KW - Natural language processing
KW - Speech and language difficulties
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U2 - 10.1145/3663384.3663387
DO - 10.1145/3663384.3663387
M3 - Conference contribution
AN - SCOPUS:85197814330
T3 - ACM International Conference Proceeding Series
BT - CHIWORK 2024 - Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work
PB - Association for Computing Machinery
T2 - 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2024
Y2 - 25 June 2024 through 27 June 2024
ER -