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