[2603.02072] Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work

[2603.02072] Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.02072: Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work

Computer Science > Human-Computer Interaction arXiv:2603.02072 (cs) [Submitted on 2 Mar 2026] Title:Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work Authors:Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Vikas Ashok, Sachin Shetty, Sampath Jayarathna View a PDF of the paper titled Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work, by Lawrence Obiuwevwi and 4 other authors View PDF HTML (experimental) Abstract:Modern knowledge workplaces increasingly strain human episodic memory as individuals navigate fragmented attention, overlapping meetings, and multimodal information streams. Existing workplace tools provide partial support through note-taking or analytics but rarely integrate cognitive, physiological, and attentional context into retrievable memory representations. This paper presents the Cognitive Prosthetic Multimodal System (CPMS) --an AI-enabled proof-of-concept designed to support episodic recall in knowledge work through structured episodic capture and natural language retrieval. CPMS synchronizes speech transcripts, physiological signals, and gaze behavior into temporally aligned, JSON-based episodic records processed locally for privacy. Beyond data logging, the system includes a web-based retrieval interface that allows users to query past workplace experiences using natural language, referencing semantic content, time, attentional focus, or physiological state. We present CPMS ...

Originally published on March 03, 2026. Curated by AI News.

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