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Browsing by Author "Stumpf, Simone"

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Browsing by Author "Stumpf, Simone"

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  • Browsing for information on the web and in the file system 
    Oregon State University. Dept. of Computer Science; Seifert, Ethan; Stumpf, Simone; Herlocker, Jonathan Lee; Wynn, Eleanor H. (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2008)
    Browsing is one of the methods used for finding and refinding information on the web or in the file local system and there are opportunities to avoid this, particularly if that information is revisited frequently. We pre ...
  • End-user debugging of machine-learned programs : toward principles for baring the logic 
    Kulesza, Todd; Stumpf, Simone; Riche, Yann; Burnett, Margaret; Wong, Weng-Keen; Oberst, Ian; Moor, Travis; McIntosh, Kevin; Bice, Forrest (2009?)
    Many applications include machine learning algorithms intended to learn “programs” (rules of behavior) from an end user’s actions. When these learned programs are wrong, their users receive little explanation as to why, ...
  • End-user feature engineering in the presence of class imbalance 
    Oberst, Ian; Moore, Travis; Wong, Weng-Keen; Kulesza, Todd; Stumpf, Simone; Riche, Yann; Burnett, Margaret (2009-11-02)
    Intelligent user interfaces, such as recommender systems and email classifiers, use machine learning algorithms to customize their behavior to the preferences of an end user. Although these learning systems are somewhat ...
  • Getting to the information you already have 
    Oregon State University. Dept. of Computer Science; Rajaram, Vidya; Stumpf, Simone; Burnett, Margaret, 1949-; Dragunov, Anton; Wick, Evelyn; Lynn, Juliana; Johnsrude, Kevin; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2005-10-05)
    Knowledge workers need to find information but even when it is stored on their local computer systems, finding it can be costly. There are many researchers working on solutions to reduce these costs, but there has been l ...
  • Integrating rich user feedback into intelligent user interfaces 
    Oregon State University. Dept. of Computer Science; Stumpf, Simone; Sullivan, Erin; Fitzhenry, Erin; Oberst, Ian; Wong, Weng-Keen; Burnett, Margaret, 1949- (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2007)
    The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous ...
  • Interacting meaningfully with machine learning systems : three experiments 
    Oregon State University. Dept. of Computer Science; Stumpf, Simone; Rajaram, Vidya; Li, Lida; Wong, Weng-Keen; Burnett, Margaret, 1949-; Dietterich, Thomas Glen; Sullivan, Erin; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2007)
    Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments ...
  • Recovery from interruptions : knowledge workers' strategies, failures and envisioned solutions 
    Oregon State University. Dept. of Computer Science; Stumpf, Simone; Burnett, Margaret, 1949-; Dietterich, Thomas Glen; Johnsrude, Kevin; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2005)
    This paper presents qualitative results from interviews with knowledge workers about their recovery strategies after interruptions. Special focus is given to when these strategies fail due to the nature of the interrupti ...
  • Supporting end-user debugging : what do users want to know? 
    Oregon State University. Dept. of Computer Science; Kissinger, Cory; Burnett, Margaret, 1949-; Stumpf, Simone; Subrahmaniyan, Neeraja; Beckwith, Laura A.; Yang, Sherry; Rosson, Mary Beth (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006-01-05)
    Although researchers have begun to explicitly support end-user programmers' debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. ...
  • Supporting knowledge workers in practice : how do they understand and use work units? 
    Oregon State University. Dept. of Computer Science; Stumpf, Simone; Burnett, Margaret, 1949-; Rajaram, Vidya; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006)
    If basic assumptions about how knowledge workers conceptualize and use work units are wrong, then any solutions resting on those assumptions are unlikely to be successful since, instead of decreasing costs, they will lea ...
  • Toward harnessing user feedback for machine learning 
    Oregon State University. Dept. of Computer Science; Stumpf, Simone; Rajaram, Vidya; Li, Lida; Burnett, Margaret, 1949-; Dietterich, Thomas Glen; Sullivan, Erin; Drummond, Russell; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006-10-02)
    There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, th ...

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