Introducing the Facial Expressions of Emotion Decoding Test with Various Intensity ( <scp>FEET</scp> ‐I): Using the <scp>AIST</scp> Facial Expression Database 2017

Abstract This article introduces the Facial Expressions of Emotion decoding Test with various Intensity (FEET‐I)—using the AIST Facial Expression Database 2017. Study 1 aimed to develop the FEET‐I, and the facial stimuli were created by manipulating emotion intensities of Japanese stimuli from the AIST Facial Expression Database 2017 (Fujimura &amp; Umemura, 2018). In Experiment 1a, 114 facial stimuli were selected based on the percentage of correct responses. In Experiment 1b, we applied Item Response Theory (IRT) to examine each item's difficulty and discrimination and selected 78 items with high internal consistency ( ω = .85). Study 2 aimed to examine the convergent validity of the FEET‐I. As a result, the score of the FEET‐I showed a significant positive correlation with that of the Short version of the Geneva Emotion Recognition Test (GERT‐S; Schlegel &amp; Scherer, 2015). Additionally, a small but significant female advantage was observed, consistent with previous findings. The final FEET‐I includes 78 stimuli and measures decoding accuracy for Japanese facial expressions of emotion. Future directions regarding the applicability of the FEET‐I were discussed.