Human Centered Evaluation

Human-centered evaluation (HCE) focuses on assessing artificial intelligence (AI) systems by prioritizing human perception, understanding, and experience, rather than solely relying on traditional metrics. Current research emphasizes developing frameworks and methodologies for evaluating AI across diverse applications, including biometric systems, image generation, recommender systems, and explainable AI (XAI), often incorporating user studies and qualitative analysis alongside quantitative measures. This shift towards HCE is crucial for building trustworthy and beneficial AI systems by ensuring alignment with human needs and expectations, ultimately improving the design and deployment of AI in various fields.