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On measuring task performance
Author(s) -
Boyce Peter R
Publication year - 2011
Publication title -
coloration technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 1472-3581
DOI - 10.1111/j.1478-4408.2011.00284.x
Subject(s) - task (project management) , computer science , visibility , measure (data warehouse) , spectral power distribution , perception , power (physics) , field (mathematics) , distribution (mathematics) , human–computer interaction , artificial intelligence , psychology , data mining , mathematics , engineering , systems engineering , optics , mathematical analysis , physics , quantum mechanics , neuroscience , pure mathematics
This paper describes the approaches that can be used to measure task performance and illustrates them by reviewing what is known about the impacts of illuminance and light source spectral power distribution on task performance. The approaches can vary from real tasks studied in the field through simulated tasks or standard tasks to basic visual functions measured in the laboratory. Each approach has different strengths and weaknesses. Understanding what these are is essential for anyone proposing to measure task performance or wishing to appreciate what such performance measurements imply. The review of the effects of spectral power distribution on task performance reveals that there is still much to learn. The effects of spectral power distribution on basic visual functions are well established, but, for tasks where the role of colour is to enhance visibility and conspicuity, there is little more than a qualitative understanding. As for the effects of spectral power distribution on task performance when operating through perception, this is largely unexplored territory.