Conference Proceeding

Toward an Antiphony Framework for Dividing Tasks into Subtasks

Authors
  • Benjamin D Sawyer (The Massachusetts Institute of Technology - AgeLab, Cambridge, MA)
  • Bruce Mehler (The Massachusetts Institute of Technology - AgeLab, Cambridge, MA)
  • Bryan Reimer (The Massachusetts Institute of Technology - AgeLab, Cambridge, MA)

Abstract

Task analysis is a staple of ergonomics, neuroergonomics, human factors, and experimental psychology inquiry, and often benefits from granularity beyond the task level to the subtask level. The concept and challenge of identifying the subcomponents of tasks are neither new, nor solved. Practitioners routinely identify individually internally consistent and yet conflicting subdivisions. The challenge of producing reliable, valid subtask data across efforts recommends a unified framework for identifying consistent subtask divisions within tasks. A framework is here forwarded, based upon universal “antiphony” turn-taking behavior in human-human interaction, but adapted to address the highly scripted vocabulary of human-machine interaction. Practical application to a real-world vehicle interface is demonstrated, an example discussed in the light of research design, applied use, and future improvement.

How to Cite:

Sawyer, B. & Mehler, B. & Reimer, B., (2017) “Toward an Antiphony Framework for Dividing Tasks into Subtasks”, Driving Assessment Conference 9(2017), 108-114. doi: https://doi.org/10.17077/drivingassessment.1622

Rights: Copyright © 2017 the author(s)

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Published on
27 Jun 2017
Peer Reviewed