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User-created forms as an effective method of human-agent communication
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Advanced web scenarios table of contents
Pages 1869-1878  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
John Zimmerman  Carnegie Mellon University, Pittsburgh, PA, USA
Kathryn Rivard  Carnegie Mellon University, Pittsburgh, PA, USA
Ian Hargraves  Carnegie Mellon University, Pittsburgh, PA, USA
Anthony Tomasic  Carnegie Mellon University, Pittsburgh, PA, USA
Ken Mohnkern  Carnegie Mellon University, Pittsburgh, PA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A key challenge for mixed-initiative systems is to create a shared understanding of the task between human and agent. To address this challenge, we created a mixed-initiative interface called Mixer to aid administrators with automating tedious information-retrieval tasks. Users initiate communication with the agent by constructing a form, creating a structure to hold the information they require and to show context in order to interpret this information. They then populate the form with the desired results, demonstrating to the agent the steps required to retrieve the information. This method of form creation explicitly defines the shared understanding between human and agent. An evaluation of the interface shows that administrators can effectively create forms to communicate with the agent, that they are likely to accept this technology in their work environment, and that the agent's help can significantly reduce the time they spend on repeated information-retrieval tasks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
John Zimmerman: colleagues
Kathryn Rivard: colleagues
Ian Hargraves: colleagues
Anthony Tomasic: colleagues
Ken Mohnkern: colleagues