Joshua Introne
ABSTRACT
We describe an approach to building adaptive groupware systems. This approach encompasses a methodology that reduces the complexity of inferring user intent by identifying a domain-specific interface language that both supports the user's maintenance of common ground, and can be used to drive an adaptive component.Our approach can be framed as follows: 1) Users of same-time different-place collaborative systems must exchange certain types coordination specific information; 2) We can facilitate the exchange and management of this information by introducing special purpose interface components, which we call Coordinating Representations, that structure these communications; 3) Information that is collected through these interface components is particularly well suited to driving intent inferencing procedures; and 4) Intent inference can be used to drive adaptive components that support the collaborative activity.We discuss empirical results from two experiments that validate this methodology.
- Alterman, R., Feinman, A., Landsman, S. and Introne, J. (2003) Coordination of Talk, Coordination of Action. TR-01-230, Brandeis University.Google Scholar
- Alterman, R., Feinman, A., Introne, J., and Landsman, S. (2001) Coordinating Representations in Computer-Mediated Joint Activities. Proceedings of 23rd Annual Conference of the Cognitive Science Society.Google Scholar
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- Introne, J. and Alterman, R. (2003) Leveraging Collaborative Effort to Infer Intent. Proceedings of the 9th International Conference on User Modeling. Pittsburgh. Springer. Google ScholarDigital Library
- Landsman, S., Alterman, R., Feinman, A., Introne, J., Vesselworld and ADAPTIVE (2000), TR CS-01-213, Brandeis University. Demo given at CSCW 2000.Google Scholar
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Index Terms
- Leveraging a better interface language to simplify adaptation
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