Luddy School of Informatics, Computing, and Engineering

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https://hdl.handle.net/1805/193
The Indiana University Luddy School of Informatics, Computing, and Engineering is a core school with programs on the Bloomington and Indianapolis campuses. Works found here were created by Indianapolis faculty, staff, and students.

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    Models of User Satisfaction: Understanding False Positives
    (ALA, 1993) Applegate, Rachel
    What does it mean to say that users are 'satisfied' with online searches or other products of information retrieval systems? A review of research in library and information science, computer systems, marketing, and psychology reveals three models of user satisfaction. In the Material Satisfaction Model, product performance (e.g. recall and precision) determine whether a user's stated question is answered (material satisfaction). In Emotional Satisfaction Model-Simple Path, users are "happy" or emotionally satisfied when their questions have been answered. In the Emotional Satisfaction Model-Multiple Path, users' happiness depends not only on questions answered (material satisfaction) but also on factors such as setting and expectations. This last model allows an understanding of the phenomenon of "false positive" emotional satisfaction: users who are happy with bad searches. The choice of model has implications for user services and for research into user-system interaction.
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    Deconstructing Faculty Status: Research and Assumptions
    (Elsevier, 1993) Applegate, Rachel
    Arguments for faculty status have traditionally been based upon a comparative model: librarians want their roles to be compared to those of faculty, not administrators. The author of this article, however, finds almost no empirical research on the status, roles, and benefits of faculty, librarians, and administrators to support this model. She posits several alternative approaches to the faculty status issue.
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    Top Ten Facts of Life for Distance Education
    (2000-02) Lamb, Annette
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    Top Ten Facts of Life for Distance Education
    (2000-02) Lamb, Annette
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    Literature Ladders
    (2001-01) Lamb, Annette
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    Application of Data Pipelining Technology in Cheminformatics and Bioinformatics
    (2002-12) Mao, Linyong; Perry, Douglas G.
    Data pipelining is the processing, analysis, and mining of large volumes of data through a branching network of computational steps. A data pipelining system consists of a collection of modular computational components and a network for streaming data between them. By defining a logical path for data through a network of computational components and configuring each component accordingly, a user can create a protocol to perform virtually any desired function with data and extract knowledge from them. A set of data pipelines were constructed to explore the relationship between the biodegradability and structural properties of halogenated aliphatic compounds in a data set in which each compound has one degradation rate and nine structure-derived properties. After training, the data pipeline was able to calculate the degradation rates of new compounds with a relatively accurate rate. A second set of data pipelines was generated to cluster new DNA sequences. The data pipelining technology was applied to identify a core sequence to represent a DNA cluster and construct the 95% confidence distance interval for the cluster. The result shows that 74% of the DNA sequences were correctly clustered and there was no false clustering.
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    Development of User-Centered Interfaces to Search the Knowledge Resources of the Virginia Henderson International Nursing Library
    (2003) Jones, Josette; Harris, Marcelline; Thompson, Cheryl Bagley
    The primary aim of this collaborative research project was to develop "tell and ask" functional interface where the nurse communicates with the knowledge base by making logical assertions based on his/her domain knowledge.
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    Searching for Patient Educational Information Using Electronic Resources: An Exploration of Nurses' Search Behavior
    (2003) Jones, Josette F.; Brennan, Patricia F.
    Nurses are willing to use browser-based electronic resources, such as the WWW to search for patient educational information. But there are problems: Successful searching requires skills unfamiliar to nurses, search results are presented in long undifferentiated lists of available information, and nurses lack the time to sort the search results. The primary aim of this research was to examine the process by which nurses in clinical settings search for patient educational information using browser-based electronic resources.
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    Academic Technology: The Convergence of Diverse Disciplines
    (2003-04) Johnson, Larry; Lamb, Annette; Teclehaimanot, Berhane