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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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Creating an iPhone application for collecting continuous ABC data.

Seth W Whiting1, Mark R Dixon

  • 1Southern Illinois University, Carbondale, Illinois, USA.

Journal of Applied Behavior Analysis
|October 13, 2012
PubMed
Summary

This study details creating a continuous ABC data-collection app for behavior analysts. The application allows customized data entry and automatic email submission for efficient clinical record-keeping.

Keywords:
computersdata collectionfunctional analysisiPhone

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Area of Science:

  • Behavior analysis
  • Applied behavior analysis technology
  • Clinical data management

Background:

  • Traditional ABC data collection can be time-consuming.
  • Need for efficient, customizable digital tools in behavior analysis.
  • Limited availability of user-friendly, programmable data-collection applications.

Purpose of the Study:

  • To provide an overview and task analysis for developing a continuous ABC data-collection application.
  • To enable behavior analysts to create a customized data collection system.
  • To facilitate automatic data submission for improved workflow.

Main Methods:

  • Utilized Xcode on a Mac computer for application development.
  • Designed a system for programming customized lists of clients, antecedents, behaviors, and consequences.
  • Implemented automatic data transfer to an email account post-observation.

Main Results:

  • Successfully outlined the process for creating a functional ABC data-collection application.
  • Demonstrated the capability for users to customize data fields and client lists.
  • Achieved automated data compilation and email dispatch upon completion of data collection sessions.

Conclusions:

  • The developed application offers a streamlined approach to continuous ABC data collection for behavior analysts.
  • Customization features enhance the tool's adaptability to individual clinical needs and preferences.
  • The application has the potential to improve efficiency and data management in applied behavior analysis practices.