Eliciting tacit expertise in 3D volume segmentation

Ruth West, Meghan Kajihara, Max Parola, Michelle Holloway, Kathryn Hays, Luke Hillard, Anne Carlew, Jeremey Deutsch, Brandon Lane, Brendan John, Anahita Sanandaji, Cindy Grimm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The output of 3D volume segmentation is crucial to a wide range of endeavors. Producing accurate segmentations often proves to be both ineficient and challenging, in part due to lack of imaging data quality (contrast and resolution), and because of ambiguity in the data that can only be resolved with higher-level knowledge of the structure and the context wherein it resides. Automatic and semi-Automatic approaches are improving, but in many cases still fail or require substantial manual clean-up or intervention. Expert manual segmentation and review is therefore still the gold standard for many applications. Unfortunately, existing tools (both custom-made and commercial) are often designed based on the underlying algorithm, not the best method for expressing higher-level intention. Our goal is to analyze manual (or semi-Automatic) segmentation to gain a better understanding of both low-level (perceptual tasks and actions) and high-level decision making. This can be used to produce segmentation tools that are more accurate, effcient, and easier to use. Questioning or observation alone is insu ffcient to capture this information, so we utilize a hybrid capture protocol that blends observation, surveys, and eye tracking. We then developed, and validated, data coding schemes capable of discerning low-level actions and overall task structures.

Original languageEnglish (US)
Title of host publicationVINCI 2016 - 9th International Symposium on Visual Information Communication and Interaction
EditorsKang Zhang, Andreas Kerren
PublisherAssociation for Computing Machinery
Pages59-66
Number of pages8
ISBN (Electronic)9781450341493
DOIs
StatePublished - Sep 24 2016
Externally publishedYes
Event9th International Symposium on Visual Information Communication and Interaction, VINCI 2016 - Dallas, United States
Duration: Sep 24 2016Sep 26 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Symposium on Visual Information Communication and Interaction, VINCI 2016
CountryUnited States
CityDallas
Period9/24/169/26/16

Keywords

  • 3D volume segmentation
  • Conceptual framework

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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