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.
2026
979-8-4007-2342-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/287459
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact