Title page for ETD etd-07122004-153037

Type of Document Dissertation
Author Somervell, Jacob Paul
URN etd-07122004-153037
Title Developing Heuristic Evaluation Methods for Large Screen Information Exhibits Based on Critical Parameters
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
McCrickard, Donald Scott Committee Chair
Bowman, Douglas A. Committee Member
Carroll, John M. Committee Member
Hicks, David Committee Member
North, Christopher L. Committee Member
  • heuristics
  • notification systems
  • critical parameters
  • evaluation
Date of Defense 2004-06-22
Availability unrestricted
Evaluation is the key to effective interface design. It becomes even more important when the interfaces are for cutting edge technology, in application areas that are new and with little prior design knowledge. Knowing how to evaluate new interfaces can decrease development effort and increase the returns on resources spent on formative evaluation. The problem is that there are few, if any, readily available evaluation tools for these new interfaces.

This work focuses on the creation and testing of a new set of heuristics that are tailored to the large screen information exhibit (LSIE) system class. This new set is created through a structured process that relies upon critical parameters associated with the notification systems design space. By inspecting example systems, performing claims analysis, categorizing claims, extracting design knowledge, and finally synthesizing heuristics; we have created a usable set of heuristics that is better equipped for supporting formative evaluation.

Contributions of this work include: a structured heuristic creation process based on critical parameters, a new set of heuristics tailored to the LSIE system class, reusable design knowledge in the form of claims and high level design issues, and a new usability evaluation method comparison test. These contributions result from the creation of the heuristics and two studies that illustrate the usability and utility of the new heuristics.

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