by Pedro Mateo (pedromateo@um.es)

1. A Context-aware Model for the Analysis of User
Interaction and QoE in Mobile Environments
Pedro Mateo
pedromateo@um.es
CENTRIC - November 2012
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 1 / 16

2. Agenda
A Context-aware Model for the Analysis of User Interaction and
QoE in Mobile Environments:
1 Research Questions
motivation, questions and proposed solutions
2 Research Work
starting point, context and rating data, QoE applications, user profiling
3 Conclusion
advantages, disadvantages and research directions
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 2 / 16

3. I
Research questions

4. Motivation
We analyzed user-system interaction
elaborately...
...but avoiding interaction context and
users feedback
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 4 / 16

5. Motivation
However...
interaction is mobile → different contexts
users’/experts’ impressions mostly ignored
→ we can not determine quality
Moreover...
lack of uniform approach to represent interaction and its context
different representations in which to base QoE inference
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 5 / 16

6. Research questions and proposed solutions
Question 1:
Incorporate rating and context data into interaction analysis?
⇒ rating/context metrics within a user interaction meta-model
Question 2:
Compare QoE of different users/systems/contexts?
⇒ base QoE inference on a common representation of interaction
Question 3:
Build profiles directly from successful-QoE experiences?
⇒ use multi-dimensional interaction representations
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 6 / 16

7. II
Research work

8. The starting point
meta-model to quantify user/system
interaction → multimodal contexts
interaction described by turn
→ parameters annotated “step by step”
relationship (data ⇔ time)
uniform/common representation
¬ context ¬ ratings ⇒ ¬ QoE
More info: Mateo & Hillmann, 2012, www.catedrasaes.org/wiki/MIM
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 8 / 16

9. Incorporating context and rating data
Context parameters added by turn:
dynamic description of context
context history
data automatically extracted with,
e.g., Android HCI Extractor ∗
User ratings as the used in
questionaries, e.g., AttrackDiff ∗∗
extracted automatically??
∗ Android HCI Extractor: Mateo, 2011, code.google.com/p/android-hci-extractor
∗∗ AttrakDiff: Hassenzahl et al., 2003, www.attrakdiff.de
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 9 / 16

10. QoE applications
different interaction sources ⇒ same representation
unified criteria to base QoE inference
relationship (interaction ⇔ context ⇔ ratings ⇔ time)
run-time and offline applications
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 10 / 16

11. User profiling
multi-dimensional representation of interaction
user/application profiling based on successful QoE experiences
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 11 / 16

12. III
Conclusion

13. Good stuff...
common metrics + uniform representation
⇒ common basis to determine/analyze QoE in different scenarios
strong relationship (interaction ⇔ context ⇔ ratings ⇔ time)
⇒ dynamic analysis of QoE
⇒ interaction history (prognosis)
multi-dimensional user profiling
QoE-aware decisions at run-time
reuse of metrics and tools
Project info: Mateo et al., www.catedrasaes.org/wiki/Caim
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 13 / 16

14. Not so good stuff...
diversity of interaction/context parameters & data abstraction level
cognitive data? extract subjective data automatically?
base the process on current device capabilities
early stage of research
these limitations and pitfalls are the challenges of
this research!!
Project info: Mateo et al., www.catedrasaes.org/wiki/Caim
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 14 / 16

15. And now what?
Keep on research
select useful context and rating attributes
look for efficient and realistic data sources and extraction methods
Implement this solution
extend the base interaction meta-model
extend the Android HCI Extractor
Integrate this solution in real projects
use the meta-model for real analysis and QoE inference
Project info: Mateo et al., www.catedrasaes.org/wiki/Caim
Pedro Mateo pedromateo@um.es () Context-aware Interaction Model CENTRIC - November 2012 15 / 16

16. Acknowledgements
cátedrasaeslabs
www.catedrasaes.org
Supported by:
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