Researchers introduced the AFFECT-HRI dataset, designed to address the lack of open data for developing emotion recognition capabilities in human-robot interaction (HRI). This dataset combines subjective human-affect assessments with objective physiological sensor data collected during interactions between participants and anthropomorphic service robots in a complex retail scenario.