Project

Memoro: Wearable Personal Memory Assistant

Wazeer Zulfikar

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People have to remember an ever-expanding volume of information. To help with this, we developed Memoro, a wearable and audio-based personal memory assistant that uses an AI agent. Memoro automatically captures real-world auditory interactions of the user and converts them into digital memories. During recall, the assistant can directly infer memory needs using context, search, and present minimal suggestions to weave into daily life and conversations.

Paper Link

Honorable Mention at Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 450, 1–18. https://doi.org/10.1145/3613904.3642450

Honorable Mention in Student Category by FastCompany World Changing Ideas '24

Our study of (N=20) participants engaged in a real-time conversation, demonstrated that using Memoro reduced device interaction time and increased recall confidence while preserving conversational quality.

Overall, Memoro is a step towards a personal memory assistant for everyone.

Publication Research

Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation

Wazeer Deen Zulfikar, Samantha Chan, and Pattie Maes. 2024. Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 450, 1–18. https://doi.org/10.1145/3613904.3642450

Research Topics

#human-computer interaction #artificial intelligence #health #wearable computing