IEEE NY WIE Day Webinar, June 25, 2026
IEEE NY WIE Day Webinar, June 25, 2026
From Conversational Signals to Cognitive Awareness:
Designing Non-Clinical AI Systems for Early Detection in Healthcare
This talk presents a novel approach to leveraging everyday conversational data for early cognitive awareness through non-clinical artificial intelligence systems. Unlike traditional diagnostic tools that rely on structured clinical testing, this work introduces a human-centered AI framework that analyzes linguistic and acoustic signals from natural speech interactions.
The speaker will introduce KinaBot, an AI system designed to extract cognitive indicators such as response latency, speech rhythm, and semantic richness, transforming them into longitudinal cognitive trend insights. The system emphasizes a baseline-relative modeling approach, enabling personalized tracking without requiring medical labeling or intrusive testing environments.
The talk will also discuss system architecture, real-world deployment considerations, and ethical design principles, including privacy-preserving “compute-and-discard” strategies. By bridging human-computer interaction, machine learning, and healthcare awareness, this work contributes a scalable paradigm for early cognitive insight that complements—but does not replace—clinical diagnosis.
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IEEE NY WIE Affinity Group, Chair Dr. Sarah. H. Chung, IEEE WIE Ambassador,
IEEE New York Section, Chair Dr. Ping-Tsai Chung
- Co-sponsored by IEEE NY WIE and IEEE New York Section
Speakers
Minamoto of AImoji LLC
From Conversational Signals to Cognitive Awareness: Designing Non-Clinical AI Systems for Early Detection in Healthcare
This talk presents a novel approach to leveraging everyday conversational data for early cognitive awareness through non-clinical artificial intelligence systems. Unlike traditional diagnostic tools that rely on structured clinical testing, this work introduces a human-centered AI framework that analyzes linguistic and acoustic signals from natural speech interactions.
The speaker will introduce KinaBot, an AI system designed to extract cognitive indicators such as response latency, speech rhythm, and semantic richness, transforming them into longitudinal cognitive trend insights. The system emphasizes a baseline-relative modeling approach, enabling personalized tracking without requiring medical labeling or intrusive testing environments.
The talk will also discuss system architecture, real-world deployment considerations, and ethical design principles, including privacy-preserving “compute-and-discard” strategies. By bridging human-computer interaction, machine learning, and healthcare awareness, this work contributes a scalable paradigm for early cognitive insight that complements—but does not replace—clinical diagnosis.
Biography:
Aoi Minamoto is an AI engineer, product designer, and founder of AImoji LLC, specializing in Human-Centered Artificial Intelligence systems that bridge conversational data and cognitive insight. With over 17 years of experience in data science, machine learning, and industrial systems, she has developed more than 11 applications (including 3 products in AImoji) across healthcare, manufacturing, and human-computer interaction domains.
She is the creator of KinaBot, a non-clinical cognitive awareness system that transforms everyday speech into measurable cognitive trends. Her work integrates linguistic analysis, acoustic modeling, and privacy-preserving system design to enable scalable and accessible cognitive monitoring. KinaBot was featured in the Japan Pavilion at CES 2026, a government-supported showcase sponsored by Japan External Trade Organization.
In addition to her entrepreneurial work, she contributes to advanced manufacturing systems as a Controls Engineer in the U.S at Toyota Battery Manufacturing North Carolina electric vehicle battery industry. She is an IEEE Senior Member, Secretary of IEEE Young Professional at Region 3 and an invited speaker at international conferences and She has been invited to review over 43 international research papers and design submissions for ACM SIGCHI-affiliated conferences, contributing to the evaluation of cutting-edge work in Human-Computer Interaction (HCI).
Address:United States
Agenda
6:00 - 6:10PM Welcome Remark - IEEE NY WIE Group Chair, Dr. Sarah H. Chung, IEEE WIE Ambassador,.
6:10 - 7:00PM Presentation: Ms. Aoi Minamoto
From Conversational Signals to Cognitive Awareness:
Designing Non-Clinical AI Systems for Early Detection in Healthcare
7:00 - 7:15PM Q/A