Qualitative and task analytic methods to support comprehensible intelligent system design

Journal Article

We argue that a critical component of designing comprehensible intelligent systems is finding the right applications for intelligence and designing intelligent solutions toward those applications. While we do not refute the value of good attention to later stages of human-centered design such as the application of human interface design principles and usability testing as methods for improving comprehensibility, there must also be significant attention to understanding problems in the context of use and how intelligence systems can best address those problems. In light of supporting naturalistic decision-making, we present a review of task analytic and qualitative research techniques that may be useful for better understanding problems in context that will support the design of more comprehensible intelligent systems. © 2009 IEEE.

Full Text

Duke Authors

Cited Authors

  • Wright, MC; Segall, N; Mark, JB; Taekman, JM

Published Date

  • December 1, 2009

Published In

  • Isda 2009 9th International Conference on Intelligent Systems Design and Applications

Start / End Page

  • 444 - 449

Digital Object Identifier (DOI)

  • 10.1109/ISDA.2009.173

Citation Source

  • Scopus