1. Model-based Measurement of Interaction in Mobile
Multimodal Environments
Pedro Mateo – Stefan Hillmann
aMMI - October 2012
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2. Agenda
Model-based Measurement of Interaction in Mobile Multimodal
Environments:
1 Research Questions
motivation, questions and proposed solutions
2 Research and Development
MMI metrics, MMI model and Android implementation
3 Conclusion
advantages, disadvantages and research directions
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3. I
Research Questions

4. Motivation
We analyze interaction in different
systems...
...but independently for each system
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5. Motivation
And now, for each system...
different quantification/evaluation metrics
different representation formats
different interaction analysis tools
multimodal communication is not analyzed as a whole
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6. Research questions and proposed solutions
Question 1:
MMI assessed on a common level for different modalities?
⇒ Use common and generic metrics for all modalities
Question 2:
Compare interactions observed in different MMI contexts?
⇒ Structure metrics in a common representation (model)
Question 3:
Analyze MMI dinamically, step-by-step, and using real-time data?
⇒ Use a run-time model
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7. II
Research and Development

8. Defining multimodal metrics
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9. Modeling multimodal interaction in EMF
Metacommunication
User Metacommunication System Metacommunication
Speech Output
Speech Input
GUI Output
GUI Input User Turn System Turn
Gesture Output
Gesture Input
Cooperativity
Modality Turn Dialog
Synchrony Modality Change Task
Appropriateness
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10. Modeling multimodal interaction in EMF
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11. Android implementation
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12. Android implementation
how does it work?
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13. III
Conclusion

14. Good stuff...
common metrics + uniform representation
⇒ unified criteria to quantify MMI in different scenarios
comparison is allowed, model transformation is possible
different modalities are on a level ⇒ single thread
dynamic representation of MMI ⇒ run-time applications
reuse of metrics and tools is improved
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15. Not so good stuff...
some data can’t be automatically collected
criteria to record parameters in different modalities?
lack of plasticity
⇒ user and context information to enrich the analysis process
the HOW of interaction is not described
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16. And now what?
Integrate this solution in real projects
Use the framework for real analysis
Make the model context-aware, more “mobile”
Explore new possibilities of the model
E.g. behavioral biometric authentication
Project info: http://www.catedrasaes.org/wiki/MIM
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17. Acknowledgements
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