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Related Experiment Videos

Dismal: a spreadsheet for sequential data analysis and HCI experimentation.

Frank E Ritter1, Alexander B Wood

  • 1School of Information Sciences and Technology, Pennsylvania State University, University Park, PA 16802, USA. frank.ritter@psu.edu

Behavior Research Methods
|August 16, 2005
PubMed
Summary
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Dismal, a spreadsheet for GNU Emacs, offers unique tools for behavioral science. It enables sequential data manipulation, customization, and human-computer interaction (HCI) studies.

Area of Science:

  • Behavioral Science
  • Human-Computer Interaction (HCI)
  • Cognitive Modeling

Background:

  • GNU Emacs is a widely available programmable text editor.
  • Behavioral researchers require specialized tools for data analysis and interaction studies.

Purpose of the Study:

  • Introduce Dismal, a spreadsheet program integrated with GNU Emacs.
  • Highlight Dismal's key features for behavioral research and HCI.
  • Demonstrate practical applications of Dismal's capabilities.

Main Methods:

  • Utilizing Dismal's sequential data manipulation and alignment features.
  • Leveraging Dismal's open architecture for custom extensions.
  • Employing Dismal's instrumented interface for HCI studies, including keystroke logging.

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Main Results:

  • Successful alignment of sequential behavior from cognitive models with subject protocols.
  • Development of extensions for teaching and designing HCI.
  • Application of Dismal's timing package for keystroke log analysis.

Conclusions:

  • Dismal provides a versatile and extensible platform for behavioral data analysis.
  • The software facilitates novel approaches to studying human-computer interaction.
  • Dismal's integration with GNU Emacs enhances its accessibility and utility for researchers.