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An optimization-based approach to dynamic data content selection in intelligent multimedia interfaces
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 17th annual ACM symposium on User interface software and technology table of contents
Santa Fe, NM, USA
SESSION: Speech in, X out table of contents
Pages: 227 - 236  
Year of Publication: 2004
ISBN:1-58113-957-8
Authors
Michelle X. Zhou  IBM T. J. Watson Research Center, Hawthorne, NY
Vikram Aggarwal  IBM T. J. Watson Research Center, Hawthorne, NY
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

We are building a multimedia conversation system to facilitate information seeking in large and complex data spaces. To provide tailored responses to diverse user queries introduced during a conversation, we automate the generation of a system response. Here we focus on the problem of determining the data content of a response. Specifically, we develop an optimization-based approach to content selection. Compared to existing rule-based or plan-based approaches, our work offers three unique contributions. First, our approach provides a general framework that effectively addresses content selection for various interaction situations by balancing a comprehensive set of constraints (e.g., content quality and quantity constraints). Second, our method is easily extensible, since it uses feature-based metrics to systematically model selection constraints. Third, our method improves selection results by incorporating content organization and media allocation effects, which otherwise are treated separately. Preliminary studies show that our method can handle most of the user situations identified in a Wizard-of-Oz study, and achieves results similar to those produced by human designers.


REFERENCES

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Collaborative Colleagues:
Michelle X. Zhou: colleagues
Vikram Aggarwal: colleagues