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Emotion representation and physiology assignments in digital systems

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166<br />

C. Peter, A. Herbon / Interact<strong>in</strong>g with Computers 18 (2006) 139–170<br />

Appendix E. <strong>Emotion</strong> recognition <strong>in</strong> affect bursts<br />

Source: Schröder (2000).<br />

‘Affect bursts’ are very short utterances expressed spontaneously at sudden events.<br />

The table below shows means <strong>and</strong> st<strong>and</strong>ard deviations (<strong>in</strong> parentheses) for correct<br />

categorical rat<strong>in</strong>gs of ten emotions, on the three seven-po<strong>in</strong>t scales<br />

– arousal (from 1Zcalm to 7Zexcited)<br />

– valence (from K3Znegative to 3Zpositive)<br />

– control (from 1Zsubord<strong>in</strong>ate to 7Zdom<strong>in</strong>ant).<br />

Only reliable results (recognition rate R80%) are be<strong>in</strong>g reported here.<br />

There were no reliable results for anger.<br />

For further <strong>in</strong>formation see Schröder (2000).<br />

Perceived emotion<br />

(Recognition rate)<br />

Affect burst class Arousal Valence Control<br />

Admiration (90–91%) Wow 4.8 (1.1) 1.6 (0.9) 4.5 (1.4)<br />

Boah<br />

Threat (80–81%) Hey 5.0 (1.1) K1.3 (1.1) 5.5 (1.2)<br />

Growl<br />

Disgust (92–100%) Buäh 5.0 (1.1) K2.0 (0.9) 4.0 (1.2)<br />

Igitt<br />

Ih<br />

Elation (80–100%) Yippie 6.1 (0.8) 2.4 (0.8) 5.0 (1.2)<br />

Hurra<br />

Boredom (81–83%) Yawn 2.5 (1.2) K0.8 (1.1) 4.2 (1.0)<br />

Hmm<br />

Relief (85–98%) Sigh 4.1 (1.4) 1.0 (1.3) 3.9 (1.1)<br />

Uff<br />

Puh<br />

Startle (80–92%) Rapid breath <strong>in</strong>take 6.0 (0.9) K1.5 (0.9) 2.9 (1.2)<br />

(cont<strong>in</strong>ued on next page)

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