Literature DB >> 15827825

Evaluating different radiology workstation interaction techniques with radiologists and laypersons.

A Moise1, M S Atkins, R Rohling.   

Abstract

This paper presents a new methodology for evaluating radiology workstation interaction features, using lay subjects to perform a radiology look-alike task with artificial stimuli. We validated this methodology by evaluating two different workstation interaction techniques with two groups of subjects: laypersons and radiologists, using a set of artificial targets to simulate the reading of a diagnostic examination. Overall, the results from the two groups of subjects performing the same tasks were very similar. Both groups showed significantly faster response times using a new interaction technique, and the mouse clicks for both groups were very similar, showing that all the subjects mastered the style of interaction in a similar way. The errors made by both groups were comparable. These results show that it is possible to test new workstation interaction features using look-alike radiological tasks and inexperienced laypersons, and that the results do transfer to radiologists performing the same tasks.

Entities:  

Mesh:

Year:  2005        PMID: 15827825      PMCID: PMC3046709          DOI: 10.1007/s10278-004-2192-y

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  6 in total

1.  Role of faulty decision making in the satisfaction of search effect in chest radiography.

Authors:  K S Berbaum; E A Franken; D D Dorfman; R T Caldwell; E A Krupinski
Journal:  Acad Radiol       Date:  2000-12       Impact factor: 3.173

2.  Design requirements for radiology workstations.

Authors:  Adrian Moise; M Stella Atkins
Journal:  J Digit Imaging       Date:  2004-04-19       Impact factor: 4.056

3.  Designing better radiology workstations: impact of two user interfaces on interpretation errors and user satisfaction.

Authors:  Adrian Moise; M Stella Atkins
Journal:  J Digit Imaging       Date:  2005-06       Impact factor: 4.056

4.  Perceptual skill, radiology expertise, and visual test performance with NINA and WALDO.

Authors:  C F Nodine; E A Krupinski
Journal:  Acad Radiol       Date:  1998-09       Impact factor: 3.173

5.  Visual scanning, pattern recognition and decision-making in pulmonary nodule detection.

Authors:  H L Kundel; C F Nodine; D Carmody
Journal:  Invest Radiol       Date:  1978 May-Jun       Impact factor: 6.016

6.  Visual skill. Correlation with detection of solitary pulmonary nodules.

Authors:  J C Bass; C Chiles
Journal:  Invest Radiol       Date:  1990-09       Impact factor: 6.016

  6 in total
  5 in total

1.  Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices.

Authors: 
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

2.  Interactive navigation of segmented MR angiograms using simultaneous curved planar and volume visualizations.

Authors:  B W van Schooten; E M A G van Dijk; A Suinesiaputra; J H C Reiber
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-30       Impact factor: 2.924

3.  User questionnaire to evaluate the radiological workspace.

Authors:  Peter M A van Ooijen; Allya P Koesoema; Matthijs Oudkerk
Journal:  J Digit Imaging       Date:  2006       Impact factor: 4.056

4.  Evaluating interaction techniques for stack mode viewing.

Authors:  M Stella Atkins; Jennifer Fernquist; Arthur E Kirkpatrick; Bruce B Forster
Journal:  J Digit Imaging       Date:  2008-07-23       Impact factor: 4.056

Review 5.  The Holistic Processing Account of Visual Expertise in Medical Image Perception: A Review.

Authors:  Heather Sheridan; Eyal M Reingold
Journal:  Front Psychol       Date:  2017-09-28
  5 in total

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