Large language models are rapidly transforming how humans interact with machines. Yet most AI systems focus on generating text, rather than understanding the deeper cognitive signals embedded in human communication. In this talk, Aoi Minamoto introduces KinaBot, an AI system that transforms everyday conversations into measurable cognitive insights. By combining speech processing, natural language analysis, and large language models, KinaBot analyzes conversational patterns such as vocabulary diversity, sentence structure, response latency, and semantic coherence to generate indicators of cognitive trends over time. Unlike traditional cognitive assessments that rely on clinical tests conducted in controlled environments, KinaBot explores a new paradigm: continuous, natural, and non-invasive cognitive monitoring through daily conversations. The talk will demonstrate how voice interactions can be converted into structured signals that help individuals, families, and caregivers better understand changes in communication and cognitive patterns.
Aoi Minamoto is a data scientist, AI entrepreneur, and founder of AImoji, an AI startup developing human-centered AI systems that transform everyday conversations into meaningful insights. She is the creator of KinaBot, a voice-based AI platform that analyzes conversational language patterns and converts them into structured cognitive indicators using speech analysis, natural language processing, and large language models. Her work focuses on bridging generative AI, speech intelligence, and human-centered computing, exploring how conversational data can reveal patterns related to cognition, communication, and well-being. In addition to her startup work, Aoi currently works in advanced manufacturing engineering in the United States, supporting lithium-ion battery production at Toyota Motor North America’s manufacturing facility in North Carolina, where she works with automation systems, industrial data platforms, and manufacturing analytics. Aoi is an IEEE Senior Member and an active contributor to the global technology community. Her interdisciplinary work connects artificial intelligence, data science, and real-world engineering systems, with the goal of building AI technologies that are both technically robust and socially meaningful.
