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Filtering by: Creator Forsberg, Norman D. Remove constraint Creator: Forsberg, Norman D. Degree Level Doctoral Remove constraint Degree Level: Doctoral Subject Human-computer interaction Remove constraint Subject: Human-computer interaction

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  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    of whether to first try pushing or pulling to open a specific door (Norman, 2002) and dialing a

  • Developing a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and Cognitive Tasks

    Creator:
    Sanandaji, Anahita
    Abstract:
    3D volume segmentation is a fundamental process in many scientific and medical applications. Producing accurate segmentations, in an efficient way, is challenging, in part due to low imaging data quality (e.g., noise and low image resolution), and ambiguity in the data that can only be resolved with higher-level knowledge of...
    Resource Type:
    Dissertation
    Full Text:
    analysis: Frequency and average duration for par- ticipants: a) and b) Site 3 (P5-P7); c) and d) Site 4

  • A Vision System for Automatic Dendrometry and Forest Mapping

    Creator:
    Wells, Lucas A.
    Abstract:
    In pursuit of global sustainability, forestry has witnessed significant shifts in practices and the development of new technologies and ideas. Primary and secondary processing industries have made substantial efforts to increase wood utilization rates, improve occupational safety and the working environment for humans, and have exhibited interest in procuring raw...
    Resource Type:
    Dissertation
    Full Text:
    -channel image, i.e. color images. D(·) Disparity function: D : Ω→ R+. Represents the u-axis offsets

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation
    Full Text:
    Exploratory Interview Script 138 B Barriers Survey Questions 140 C Processes Survey Questions 151 D