The aim of this study is to enhance the quality of life for individuals who stutter and to raise public awareness about stuttering. AFPWS is a comprehensive, user-friendly app designed to support and empower individuals who stutter. It is a platform that offers a variety resource to help users improve their speech fluency, build confidence, and communicate more effectively. The findings revealed that participants held stereotypes about people who stutter, as evidenced by the predominantly negative words they used to describe them. More than half of the participants, mostly male, prefer responses from humans over chatbots, even if it takes longer, likely due to negative experiences with chatbots not understanding their questions. Therefore, the implementation of natural language processing and machine learning are important to understand and generate appropriate outcome desired by the users. The chatbot is trained using sequential model and the data is analyzed through the implementation of data visualization.

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Enhancing Life Quality for People Who Stutter Through an AI-Driven Interactive Website—Assistance for People Who Stutter (AFPWS)

  • Nur Amira Abdul Majid,
  • Ong Chia Leng,
  • Salasiah Sulaiman,
  • Shubashini Rathina Velu

摘要

The aim of this study is to enhance the quality of life for individuals who stutter and to raise public awareness about stuttering. AFPWS is a comprehensive, user-friendly app designed to support and empower individuals who stutter. It is a platform that offers a variety resource to help users improve their speech fluency, build confidence, and communicate more effectively. The findings revealed that participants held stereotypes about people who stutter, as evidenced by the predominantly negative words they used to describe them. More than half of the participants, mostly male, prefer responses from humans over chatbots, even if it takes longer, likely due to negative experiences with chatbots not understanding their questions. Therefore, the implementation of natural language processing and machine learning are important to understand and generate appropriate outcome desired by the users. The chatbot is trained using sequential model and the data is analyzed through the implementation of data visualization.