LIMSI-CNRS WP5 - Belfast September, 2004 Multimodal Annotation of Emotions in TV Interviews S. Abrilian, L. Devillers, J.C Martin, S. Buisine LIMSI – CNRS, France HUMAINE - WP5 Summer school - Belfast

LIMSI-CNRS WP5 - Belfast September, 2004 Content Emotion pervades human communication –feelings are conveyed in faces, voices, and gestures; and people judge others by the way they respond to those signals. On-going research on –modeling relations emotion / multimodal –blended & subtles real-life emotions –detection / synthesis (ECAs) EmoTV exploratory corpus –Annotations: segmentation, emotion, multimodal Difficult issues Hands-on session

LIMSI-CNRS WP5 - Belfast September, 2004 EmoTV-1 Corpus 51 video recorded from French TV channels The interviews covering a range of different topics : politics, sport, law, religion, etc # interviewees: 48 # topics: 24 # total duration: 12 mn # words total: ~2500 # emot. segmt: 281 Min: 4 s Max: 43 s # distinct : ~800

LIMSI-CNRS WP5 - Belfast September, 2004 Video selection criteria TV interviews Realistic situation Presence of emotion (fullblown/subtle/blended/…) Speaker face and upper body (close shot) Multimodal cues : speech, gesture, gaze… French language Focus on one person (unknown person) Audio quality

LIMSI-CNRS WP5 - Belfast September, 2004 Annotation Protocol with natural corpora Annotation scheme design difficult even more for blended / subtle / masked / sequential emotions Emotion and multimodal annotation iterations:  defining categories phase  annotating phase  validating phase with inter-annotator agreement, perceptual tests and statistical analysis

LIMSI-CNRS WP5 - Belfast September, 2004 Emotion labelling phase Emotion segmentation: different strategies Emotion labelling with: abstract dimensions: valence/activation (Cowie 2001) scale of 7 levels category labels pragmatic decision : - converging on a smaller set of basic categories, - combining those categories in order to define complex emotion « palette theory » (Cowie 2001), « Plutchik wheel » (Plutchik 1980) example: Disappointment = sadness + surprise Contempt = anger + disgust

LIMSI-CNRS WP5 - Belfast September, 2004 Emotion labelling: choice of labels Annotation protocol : 2 annotators, free choice, then elaboration of emotion category 176 labels -> preliminary list of 18 emotion categories anger, despair, disappointment, disgust, doubt embarrassment, exaltation, fear, irritation, joy, neutral, pleased, pride, sadness, serenity, shame, surprise, worry Example of emotion annotation scheme (ANVIL): Each segment is labelled with Primary label: sadness Secondary label (or not): disgust Valence: 2 (negative) Intensity: 6 (very high)

LIMSI-CNRS WP5 - Belfast September, 2004 Annotation of multimodal behavior Multimodal corpora and tools –LREC 2002 & 2004 workshops –I. Poggi coding scheme Annotation of multimodal behavior –McNeill 1982, Kipp 2004 Emotion and multimodal behavior –Emotional expression Collier 1985, –Facial expression: Ekman 2003, Pandzic 2002 –Expressivity of gesture (Pelachaud 2004)

LIMSI-CNRS WP5 - Belfast September, 2004 Coding scheme design Requirements –« Fast » annotation by single annotator for all modalities –Specific requirements for the mm coding scheme for TV interviews Coding scheme design –Behavior observed in the videos –Suggested by the literature (prototypical emotions)

LIMSI-CNRS WP5 - Belfast September, 2004

Audio tracks Required –Prosodic cues: rhythm (speech rate), melody (F0), energy, voice quality. –Non-verbal events: laughter, cry, throat clearing,… Tracks –Energy –Transliteration: French / English

LIMSI-CNRS WP5 - Belfast September, 2004 Posture group Pose track –Body orientation: up, down, left, right, front, back, packed, seat Shift track –Activity: whole body, upper body, legs –Speed: fast, moderate, slow –Action: walk, jump, duck, run, stand, sit, turn over, back, move back, come closer

LIMSI-CNRS WP5 - Belfast September, 2004 hand/arm movement non-communicative adaptoremblem communicative deicticillustrative iconicmetaphoric beat Communicative gesture classes Several typologies (Efron 41, Ekman & Friesen 69, McNeill 92, Kipp 04)

LIMSI-CNRS WP5 - Belfast September, 2004 Which gesture classes for emotional ecological corpora ? Criteria: corpus + ease of annotation –Adaptor –Beats –Gesticulation: free form, spontaneous –Deictics, emblems, iconics, metaphorics

LIMSI-CNRS WP5 - Belfast September, 2004 Phase gesture group (Kipp 1991) Phase –Type (Kendon and McNeill 1992): preparation, stroke, beats, hold, retract –Speed: fast, moderate, slow –Energy: high, normal, low –Handedness –Spatial region: up, head, chest, down, periphery –Hand shape: open, closed –Direction: horizontal, vertical

LIMSI-CNRS WP5 - Belfast September, 2004 Facial expressions MPEG-4 Facial Animation Parameters FACS Action units –Chin, Lids, Brows, Cheeks, Head, Lips, Nose, Mouth, Eyes

LIMSI-CNRS WP5 - Belfast September, 2004 Problematic issues Time consuming Subjectivity in the segmentation and annotation of emotion labels and some modalities Separate emotionally significant events from non emotional Require expertise in annotating all modalities (gesture type, FAPS) Limitations of TV samples: image resolution, mostly upper body, external events/objects out of camera scope (which ellicit gaze) Annotation is corpus-dependent (ex: gesture speed) … But enable the exploration of complex natural emotions

LIMSI-CNRS WP5 - Belfast September, 2004 Next steps Corpus annotations/Analysis of results –inter-annotation agreement –Signal/transcription alignment –Statistics: relation between mm behavior and emotion Improve multimodal coding scheme Update of coders documentation Results will be presented at WP5 WS

LIMSI-CNRS WP5 - Belfast September, 2004 Future direction Typology of natural mm complex emotion Unsupervised classification of mm annotations Correlation of mm annotations and emotions

LIMSI-CNRS WP5 - Belfast September, 2004 Summer school protocol Annotate emotion and multimodal behavior on videos (individual and collective steps) Provided –Anvil short documentation (Kipp 1991) –Coding scheme –Emotional segments –Speech transcription: French, English