The present study was performed to evaluate the EmojiGrid for the affective appraisal of sounds and video. In Experiment I, observers (N=150, 74 males, mean age=25.2±3.5) used the EmojiGrid to rate their affective appraisal of 77 validated sound clips from 9 different semantic categories, covering a large area of the affective space. In Experiment II, observers (N=60, 32 males, mean age=24.5±3.3) used the EmojiGrid to rate their affective appraisal of 50 validated film fragments varying in positive and negative affect (20 positive, 20 negative, 10 neutral). The results show that for both sound and video, the agreement between the mean ratings obtained with the EmojiGrid in this study and those obtained with an alternative validated affective rating tool in previous validation studies in the literature is excellent for valence and good for arousal. Also, we find that the EmojiGrid yields the typical universal U-shaped relation between mean valence and arousal that is commonly observed for affective sensory stimuli, both for sound and video. We conclude that the EmojiGrid can be used as an affective self-report tool for the assessment of sound and video-evoked emotions.The present study was performed to evaluate the EmojiGrid for the affective appraisal of sounds and video. In Experiment I, observers (N=150, 74 males, mean age=25.2±3.5) used the EmojiGrid to rate their affective appraisal of 77 validated sound clips from 9 different semantic categories, covering a large area of the affective space. In Experiment II, observers (N=60, 32 males, mean age=24.5±3.3) used the EmojiGrid to rate their affective appraisal of 50 validated film fragments varying in positive and negative affect (20 positive, 20 negative, 10 neutral). The results show that for both sound and video, the agreement between the mean ratings obtained with the EmojiGrid in this study and those obtained with an alternative validated affective rating tool in previous validation studies in the literature is excellent for valence and good for arousal. Also, we find that the EmojiGrid yields the typical universal U-shaped relation between mean valence and arousal that is commonly observed for affective sensory stimuli, both for sound and video. We conclude that the EmojiGrid can be used as an affective self-report tool for the assessment of sound and video-evoked emotions.
