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In visual perception experiments, beware of the more elusive influences of cognition and neuro-physiology on the selection of subject population and size. David MacGowan and Andy Irving. Outline. Historical overview Experiments Recognition and avoidance of bias Summary. Historical overview.
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In visual perception experiments, beware of the more elusive influences of cognition and neuro-physiology on the selection of subject population and size David MacGowan and Andy Irving
Outline • Historical overview • Experiments • Recognition and avoidance of bias • Summary
Historical overview • Weber Fechner law:y=k log(Fratio) • Stevens SS: y=k (Fratio)a • Hopkinson RG:Glare Index, small sourceGI = 10 log10kLs1.6w 0.8 / Lb • Large sources: GI = 10 log10kLs1.6W0.8 / Lb + 0.07w0.5Ls
Bias • Bias is difficult to handle in any human perception experimentation, and its influence can profoundly influence the resulting data and distort conclusions. • Skills bias (designer –architectural, engineering) • Confounding minimum acceptable window size data: Influence of view; geographical location (Winnipeg, Seattle,Berkeley and London); publicity (London replication of earlier RGH work); non-representative sample (miner’s) data. • Union v non-union discomfort glare data.