Yui Kita, Ph.D. Applied Computer Science

Interests: Applying ML / NLP to interactive systems, with a focus on developing technologies that enhance human memory capacity, creative abilities, and user experience.

Phone: 81-90-4464-2684

Nostr: npub1uk4wtth7mlv7s7e5606znurwzs7kgvlgk4ndmtsjg2ekjaavwudsfwev90

Autorecall

Autorecall is a search system that recalls information before users actually recall it. When designing a chair, for instance, we often draw upon various other chairs as inspiration to create a new one. If we can efficiently recall a large number of chairs, we can design more creative chairs. However, the human hippocampus (the part of the brain responsible for working memory) has its limitations. To address this, Autorecall enhances human memory capabilities by providing a real-time search system that utilizes personal memory data as the search target. Currently, the system consists of a speech interaction-based search system and an artificial intelligence model that predicts what the user knows. For more details, please refer to my Ph.D. Thesis.

Interaction Lab

Personal interaction experiments