The Look of Error: Facial Indicators for Speech Recognition Failures
Robots operating in human-centered environments frequently encounter interaction errors due to limitations of underlying machine learning models, potentially negatively affecting user trust and adoption. Therefore, detecting when the models fail is critical for robust HRI systems. Existing approaches mainly rely on mod...