Artificial Intelligence (AI) is increasingly used to support usability evaluation, yet fully automated approaches often reduce methodological transparency and expert control. This demo paper presents an AI-assisted prototype that operationalizes the canonical Cognitive Walkthrough (CW) through a structured multi-agent architecture. The system integrates Golden Standard benchmarking and preserves expert oversight through a human-in-the-loop interaction model. We describe the prototype and the interactive experience that will be demonstrated during the conference session.
A Multi-Agent AI System for Human-in-the-Loop Cognitive Walkthrough
Caruso F.;Giona V.;Di Mascio T.;Panizzi E.
2026-01-01
Abstract
Artificial Intelligence (AI) is increasingly used to support usability evaluation, yet fully automated approaches often reduce methodological transparency and expert control. This demo paper presents an AI-assisted prototype that operationalizes the canonical Cognitive Walkthrough (CW) through a structured multi-agent architecture. The system integrates Golden Standard benchmarking and preserves expert oversight through a human-in-the-loop interaction model. We describe the prototype and the interactive experience that will be demonstrated during the conference session.File in questo prodotto:
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