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Understanding questions that arise when working with business documents

Author(s)
Jahanbakhsh, Farnaz.
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
David R. Karger.
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MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
While digital assistants are increasingly used to help with various productivity tasks, less attention has been given to employing them in the domain of business documents. To build an agent that can handle users' information needs in this domain, we must first understand the types of assistance that users desire when working on their documents. In this work, we present results from two user studies that characterize the information needs and queries of authors, reviewers, and readers of business documents. In the first study, we used experience sampling to collect users' questions in-situ as they were working with their documents, and in the second, we built a human-in-the-loop document Q&A system which rendered assistance with a variety of users' questions. Our results have implications for the design of document assistants that complement AI with human intelligence including what types of human respondents are needed and the challenges around such systems.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021
 
Cataloged from the official PDF version of thesis.
 
Includes bibliographical references (pages 49-53).
 
Date issued
2021
URI
https://hdl.handle.net/1721.1/130781
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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