We examined the effectiveness of presenting emotion recognition information with accuracy information to enhance awareness on audio-visual telecommunication systems. Sixteen participants observed an experimenter whose emotion was induced by picture stimuli. The participants then evaluated the valence emotion of experimenters across 4 environmental conditions: face-to-face (F2F), remote audio-visual environment without accuracy information (Remote-None), remote audio-visual environment with emotion recognition information and 70% accuracy information (Remote+70%), and the same with 90% accuracy information (Remote+90%). The level of emotional transmission and observation time were measured. Results showed that the level of emotional transmission did not significantly differ between F2F and Remote-None conditions, but was 10% higher in Remote+70% than in other conditions. Moreover, observation time was significantly shorter in the Remote+70% condition than in the Remote-None condition. These data indicate that presenting low-accuracy information as well as emotion recognition effectively enhanced human awareness performance.
CITATION STYLE
Fukasawa, S., Akatsu, H., Taguchi, W., Nihei, F., & Nakano, Y. (2019). Presenting Low-Accuracy Information of Emotion Recognition Enhances Human Awareness Performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11569 LNCS, pp. 415–424). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_30
Mendeley helps you to discover research relevant for your work.