TY - GEN
T1 - AI-Driven Support for People with Speech & Language Difficulties
AU - Dangol, Aayushi
AU - Huang, Yun
AU - Setlur, Srirangaraj
AU - Smolansky, Adele
AU - Subramonyam, Hariharan
AU - Suh, Hyewon
AU - Xiong, Jinjun
AU - Kientz, Julie A.
N1 - Publisher Copyright:
© 2024 Association for Computing Machinery. All rights reserved.
PY - 2024/5/11
Y1 - 2024/5/11
N2 - Speech and language difficulties present significant challenges to effective communication, impacting individuals' ability to express themselves and engage in meaningful interactions. Recent advances in AI technologies, particularly in natural language processing (NLP) and machine learning, have the potential to assist individuals with speech and language difficulties in improving their communication outcomes. However, given the probabilistic nature of AI models, there is a need to adopt and advance human-centered AI design methodologies to support the prototyping of AI user experiences. This Special Interest Group (SIG) aims to bring together researchers, practitioners, and designers from the fields of AI, accessibility, speech pathology, AI ethics, and HCI to facilitate high-level discussions around designing and evaluating reliable, safe, and human-centered AI-driven support and interventions for supporting individuals with speech and language difficulties.
AB - Speech and language difficulties present significant challenges to effective communication, impacting individuals' ability to express themselves and engage in meaningful interactions. Recent advances in AI technologies, particularly in natural language processing (NLP) and machine learning, have the potential to assist individuals with speech and language difficulties in improving their communication outcomes. However, given the probabilistic nature of AI models, there is a need to adopt and advance human-centered AI design methodologies to support the prototyping of AI user experiences. This Special Interest Group (SIG) aims to bring together researchers, practitioners, and designers from the fields of AI, accessibility, speech pathology, AI ethics, and HCI to facilitate high-level discussions around designing and evaluating reliable, safe, and human-centered AI-driven support and interventions for supporting individuals with speech and language difficulties.
KW - AI prototyping
KW - Human-centered design
KW - Natural language processing
KW - Speech and language difficulties
UR - https://www.scopus.com/pages/publications/85194200518
U2 - 10.1145/3613905.3643984
DO - 10.1145/3613905.3643984
M3 - Conference contribution
AN - SCOPUS:85194200518
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Y2 - 11 May 2024 through 16 May 2024
ER -