Tests for the Detection and Analysis of Color-Blindness I The Ishihara Test: An Evaluation

Hardy, LeGrand H.; Rand, Graham K.; Rittler, M. Catherine

doi:10.1364/josa.35.000268

Cited by 61 publications

(28 citation statements)

References 2 publications

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“…It is a gross test, fails to classify type of colour vision defect and cannot be used to give satisfactory evaluation of extent and degree of defect. 12 Study conducted by Baron et al compared CVD by HRR plates and Ishihara plates in optic neuropathy. The study group included 43 patients (48 eyes) with newly diagnosed optic neuropathy, and the control group included 33normal patients (33 right eyes).…”

Section: Discussionmentioning

confidence: 99%

Assessment of colour vision deficiency in medical students

Patel

Trivedi

Patel

et al. 2016

Int J Community Med Public Health

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Section: Discussionmentioning

confidence: 99%

Assessment of colour vision deficiency in medical students

Patel

Trivedi

Patel

et al. 2016

Int J Community Med Public Health

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“…After giving consent, participants were given a color vision deficiency test using Ishihara plates [28]. Participants failing this test were barred from participating in the main study.…”

Section: Experimental Designmentioning

confidence: 99%

Perception of Average Value in Multiclass Scatterplots

Gleicher

Correll

Nothelfer

et al. 2013

IEEE Trans. Visual. Comput. Graphics

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The visual system can make highly efficient aggregate judgements about a set of objects, with speed roughly independent of the number of objects considered. While there is a rich literature on these mechanisms and their ramifications for visual summarization tasks, this prior work rarely considers more complex tasks requiring multiple judgements over long periods of time, and has not considered certain critical aggregation types, such as the localization of the mean value of a set of points. In this paper, we explore these questions using a common visualization task as a case study: relative mean value judgements within multi-class scatterplots. We describe how the perception literature provides a set of expected constraints on the task, and evaluate these predictions with a large-scale perceptual study with crowd-sourced participants. Judgements are no harder when each set contains more points, redundant and conflicting encodings, as well as additional sets, do not strongly affect performance, and judgements are harder when using less salient encodings. These results have concrete ramifications for the design of scatterplots.

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“…Although in most cases the nonclassification occurred among anomalous trichromats, there were cases in which these plates failed to classify even dichromats. 4,8 In addition to the nonclassification, incorrect classification (protans diagnosed as deutans or vice versa), which would be more clinically unacceptable than nonclassification, was also found. 4,8 The variability in nonclassification and incorrect classification can be attributed to a number of factors: chromatic and/or luminance differences between the test plates, and experimentally related errors such as learning effect and random errors.…”

Section: Introductionmentioning

confidence: 99%