Number of co-authors:5
Number of publications with 3 favourite co-authors:Henry Lieberman:3Jimmy Lin:1Kenneth D. Forbus:1
Earl J. Wagner's 3 most productive colleagues in number of publications:Henry Lieberman:64Jimmy Lin:22Larry Birnbaum:17
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Earl J. Wagner
Publications by Earl J. Wagner (bibliography)
Wagner, Earl J. and Lin, Jimmy (2011): In-depth accounts and passing mentions in the news: connecting readers to the context of a news event. In: Proceedings of the 2011 iConference 2011. pp. 790-791.
Software that models how types of news events unfold can extract information about specific events and explain them to a news reader. This support can be useful when the background provided by an article is insufficient, if other news coverage exists from which an event's history can be extracted. For extended sequences of related events, it is reasonable to expect that articles published after the sequence concludes include less background coverage of the sequence. Focusing on two stereotypical types of event sequences -- kidnappings and corporate acquisitions -- we distinguish between articles providing in-depth coverage, those having multiple sentences mentioning the same event sequence, from articles making a passing mention in just one sentence. We find that, after an event sequence concludes, passing mentions become more common and there are significantly fewer mean mentions per article.
© All rights reserved Wagner and Lin and/or ACM Press
Wagner, Earl J., Liu, Jiahui, Birnbaum, Larry and Forbus, Kenneth D. (2009): Rich interfaces for reading news on the web. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 27-36.
Using content-specific models to guide information retrieval and extraction can provide richer interfaces to end-users for both understanding the context of news events and navigating related news articles. In this paper we discuss a system, Brussell, that uses semantic models to organize retrieval and extraction results, generating both storylines explaining how news event situations unfold and also biographical sketches of the situation participants. We generalize these models to introduce a new category of knowledge representation, an explanatory structure, that can scale up to include information from hundreds of documents, yet still provide model-based UI support to end-users. An informal survey of business news suggests the broad prevalence of news event situations indicating Brussell's potential utility, while an evaluation quantifies its performance in finding kidnapping situations.
© All rights reserved Wagner et al. and/or their publisher
Wagner, Earl J. and Lieberman, Henry (2004): Supporting user hypotheses in problem diagnosis. In: Nunes, Nuno Jardim and Rich, Charles (eds.) International Conference on Intelligent User Interfaces 2004 January 13-16, 2004, Funchal, Madeira, Portugal. pp. 30-37.
People are performing increasingly complicated actions on the web, such as automated purchases involving multiple sites. Things often go wrong, however, and it can be difficult to diagnose a problem in a complex process. Information must be integrated from multiple sites before relations among processes and data can be visualized and understood. Once the source of a problem has been diagnosed, it can be tedious to explain the process of diagnosis to others, and difficult to review the steps later. We present a web interface agent, Woodstein, that monitors user actions on the web and retrieves related information to assemble an integrated view of an action. It manages user hypotheses during problem diagnosis by capturing users' judgments of the correctness of data and processes. These hypotheses can be shared with others, including customer service representatives, or accessed later. We will see this feature in the context of diagnosing problems on the web, and discuss its broader applicability to system interfaces in general.
© All rights reserved Wagner and Lieberman and/or ACM Press
Wagner, Earl J. and Lieberman, Henry (2004): Demonstration of agent support for user hypotheses in problem diagnosis. In: Nunes, Nuno Jardim and Rich, Charles (eds.) International Conference on Intelligent User Interfaces 2004 January 13-16, 2004, Funchal, Madeira, Portugal. pp. 368-369.
We present a web interface agent, Woodstein, that monitors user actions on the web and retrieves related information to assemble an integrated view of a transaction. It manages user hypotheses during diagnosis by capturing users' judgments of the correctness of data and processes. These hypotheses can be shared with others, such as customer service representatives, or saved for later. We will see this feature in the context of diagnosing problems on the web.
© All rights reserved Wagner and Lieberman and/or ACM Press
Lieberman, Henry and Wagner, Earl J. (2003): End-user debugging for e-commerce. In: Johnson, Lewis and Andre, Elisabeth (eds.) International Conference on Intelligent User Interfaces 2003 January 12-15, 2003, Miami, Florida, USA. pp. 257-259.
One of the biggest unaddressed challenges for the digital economy is what to do when electronic transactions go wrong. Consumers are frustrated by interminable phone menus, and long delays to problem resolution. Businesses are frustrated by the high cost of providing quality customer service. We believe that many simple problems, such as mistyped numbers or lost orders, could be easily diagnosed if users were supplied with end-user debugging tools, analogous to tools for software debugging. These tools can show the history of actions and data, and provide assistance for keeping track of and testing hypotheses. These tools would benefit not only users, but businesses as well by decreasing the need for customer service.
© All rights reserved Lieberman and Wagner and/or ACM Press
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Changes to this page (author)10 Nov 2012: Modified02 Jun 2009: Modified
28 Apr 2003: Added
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