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WP3’s Working Groups Synthesis

WP3’s Working Groups Synthesis. Geneva, 17-19 June, 2004. First HUMAINE workshop: “Theories and Models of Emotion” WG1 “Conceptual and terminological clarifications” Chair: David Sander (david.sander@pse.unige.ch) WG2 “Emotion and computational modeling”

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WP3’s Working Groups Synthesis

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  1. WP3’s Working GroupsSynthesis

  2. Geneva, 17-19 June, 2004 First HUMAINE workshop: “Theories and Models of Emotion” • WG1 “Conceptual and terminological clarifications” Chair: David Sander (david.sander@pse.unige.ch) • WG2 “Emotion and computational modeling” Chair: Klaus Scherer, Etienne Roesch (etienne.roesch@pse.unige.ch) • WG3 “Emotional communication skills” Chair: Tanja Bänziger (tanja.banziger@pse.unige.ch)

  3. WG1 “Conceptual and terminological clarifications” • David Sander (david.sander@pse.unige.ch) • Take advantage of the multi-facets of HUMAINE (e.g., multi-disciplinary, multi-cultural) • Outcomes: 2 types of documents, • Clarifications of a finite and agreed set of concepts and operational definitions • Research documents: comparative studies among the HUMAINE community

  4. A design-feature approach to define the different types of affect Table 1. Scherer (2004). HUMAINE Plenary Meeting. DFKI, Saarbrücken, March 1-3, 2004.

  5. 1st proposal: A partialhierarchy for affect

  6. Spatial distribution of emotion-relevant concepts Aim: to define concepts using a similarity/difference approach • Hierarchy = Collection of components/concepts • Concept = {sub-components ; features} • Inheritance rules, would allow to define what is and what is not • Super-ordinate/Adjacent/Sub-ordinate concepts • Overlapping concepts

  7. Now, define “emotion-relevant concepts” !.. • Finite set of consensual/useful concepts (i.e., operationaliz-able concepts) • Deliverables WP3, WP5 • .. in different contexts: theoretical understanding, applications, computational, et cetera ..

  8. WG2 “Emotion models and computational modeling” • Klaus Scherer, Etienne Roesch (etienne.roesch@pse.unige.ch) • Grounded on the “failures” in attempts to implement/misunderstandings brought up during dialogs between engineers and theorists (numerous theories/interpretations)  Need to bridge theoretical/conceptual gaps, in order to allow dialog between disciplines

  9. Exemplar 1: a cohesive approach to conceptualization of emotions What model for what purpose?

  10. Exemplar 2: “Blueprint for an affectively competent agent” • Fruitful dialog between Ethology, Cognitive Neuroscience, Computer Science, Philosophy, and Psychology • Detailed specifications and proposals about what an affective agent should be able to do (information processes to be implemented, norms, values, etc)

  11. Exemplar 2: “Blueprint for an affectively competent agent” • Comprehensive document: an edited book • Gather descriptions of computational modules to be implemented (e.g., motivation, goals, values) • Theoretical perspectives (e.g., psychological, philosophical, ethological) • Technical (engineering) perspectives (i.e., implementation attempts)

  12. Recommendations to ECAs designers ECAs should focus on the communicative function of emotions • “generative” approach, focused on the synthesis of emotions • “peripheral” approach, focused on defining the relevant cues to be used in HCI (emphasis on multi-modality) Link with WG3 “Emotion communication skills”

  13. WG3 “Emotional communication skills” Assessment of Human Performance Assessment of Automatic Recognition Emotional sensitivity/recognition • number of categories • contexts • dealing with confusions • multiple channels • comparison groups Planned outcome (exemplar) Recommendations for the benchmarking of automatic recognition systems. Norms for different groups (?)

  14. Current directions • complex expressions • few examples • non standard contexts labelling annotation Innovative approach to assessment of sensitivity ? • broad distinctions • large corpora • restricted contexts Compare performance and cue utilization of automatic vs human discrimination automatic recognition Two types of interests How are they perceived ? How large are individual differences ? How does one define skill/success ? What are the specific constraints on a system (in a given context) ? What benefits from a more informed approach ?

  15. “From signs to emotions and vice-versa: Related exemplars from HUMAINE WP’s” Signals-to-Signs related exemplars: • WG2 • “Blueprint for an affectively competent agent” • WG3 • “Benchmarking of automatic emotion recognition systems”

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