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Measuring Human Multimodal Behavior and Developing Multimodal Interfaces

Measuring Human Multimodal Behavior and Developing Multimodal Interfaces. Jean-Claude M ARTIN LIMSI-CNRS, FRANCE LINC, University Paris 8, FRANCE martin@limsi.fr www.limsi.fr/Individu/martin.

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Measuring Human Multimodal Behavior and Developing Multimodal Interfaces

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  1. Measuring Human Multimodal BehaviorandDeveloping Multimodal Interfaces Jean-Claude MARTIN LIMSI-CNRS, FRANCE LINC, University Paris 8, FRANCE martin@limsi.fr www.limsi.fr/Individu/martin

  2. Is it possible to identify a “minimal set” of “generic” types of cooperation between communication modalities that • are independent of the modalities • are observed in human behavior • should be used in computer I/O behavior 2

  3. CONTENT • Framework • Measuring Behavior • Futures applications 3

  4. 1. FRAMEWORKTYCOON(Martin 93) 4

  5. 1. FRAMEWORKDefinitions 5

  6. 2. MEASURING BEHAVIOR SRI WOZ Toronto Map (Cheyer et al. 98) • How to analyze the multimodal behavior ? • How to specify a multimodal system ? • Find a common grid ? • 10 annotated subjects 6

  7. 2. MEASURING BEHAVIORSRI WOZ Toronto Map (Cheyer et al. 98) 7

  8. 2. MEASURING BEHAVIOR SRI WOZ Toronto Map • [Kehker et al. 98] 8

  9. 2. MEASURING BEHAVIORSRI WOZ Toronto Map (Cheyer et al. 98) • Annotating and managing ambiguity • Annotate cooperation at a finer level • Nb modalities, nb of attributes 9

  10. 2. MEASURING BEHAVIOR IST-ISLE Project http://isle.nis.sdu.dk/ • 2000-2002 • Natural Interaction and MultiModality • NIS, URome, IMS, DFKI, MPI, ELRA, LIMSI • Survey on Data Resources • 22+5 on gestures + speech • Survey on Coding Schemes • 10+3 on gestures + speech 10

  11. 2. MEASURING BEHAVIOR XML DTD + Java 11

  12. 2. MEASURING BEHAVIORXML DTD + Java For each object o For each reference r If the target of r is o Then sum += salienceOf o in r Ratered-compl = sum / nbReferences 12

  13. 3. FUTURE DIRECTIONSApplication to teaching • How do teachers modify their mm communication behavior depending on student level, time slots … • Towards mm pedagogical agents • BQR Université Paris 8 13

  14. 3. FUTURE DIRECTIONSSpeech Therapist Corpus • Multiple tasks • Goals • Who types ? • Improvement • Multimodal • Mediated • Collective gesture 14

  15. 3. FUTURE DIRECTIONSApplication to home automation • Goals • Usability of mm for in-home application (interactive TV) • Applying / Adapting the TYCOON methodology • RNRT Project • 2 years • Partners : • MediaLive (simulation room of in home environment) • Laboratoire Conception de Produits Nouveaux et Innovation(Ecole Nationale Supérieure d’Arts et Métiers) 15

  16. Measuring Human Multimodal BehaviorandDeveloping Multimodal Interfaces Jean-Claude MARTIN LIMSI-CNRS, FRANCE LINC, University Paris 8, FRANCE martin@limsi.fr www.limsi.fr/Individu/martin

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