Objective Evaluation

Objective evaluation methods are crucial for assessing various systems and technologies, moving beyond subjective human judgment to provide reliable, reproducible results. Current research focuses on developing objective metrics for diverse applications, including autonomous driving performance (using integrated models combining objective factors with subjective human ratings), idea generation in design (leveraging vector embeddings and clustering algorithms), and audio/speech quality (employing directional loudness maps and comparing against human listening tests). These advancements improve the rigor and comparability of research across different fields, leading to more robust system design and more informed decision-making in areas ranging from engineering to human-computer interaction.

Papers