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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ari Aharari

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Open access 2026

Human-Centered Explainability for Industrial Inspection: A Scenario‑Responsive Framework

This study introduces a scenario‑responsive Kansei–XAI interaction framework designed to align explainable visual feedback with human‑centered design attributes such as transparency, confidence building, and operational control.

Ari Aharari · 0 citations

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