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Intensity discrimination is the process of distinguishing one stimulus intensity from another Intensity Discrimination.

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Presentation on theme: "Intensity discrimination is the process of distinguishing one stimulus intensity from another Intensity Discrimination."— Presentation transcript:

1 Intensity discrimination is the process of distinguishing one stimulus intensity from another Intensity Discrimination

2 Two types: Difference thresholds – the two stimuli are physically separate Increment thresholds – the two stimuli are immediately adjacent or superimposed

3 Fig. 1.1 Difference threshold (separated stimuli) Increment threshold stimuli (edges of stimuli touch each other)

4 Fig. 1.2

5 Theory and Practice Theory:

6 Fig. 2.7 From Dr. Kraft’s course – Hecht, Shlaer & Pirenne Photon emission follows a Poisson distribution To distinguish a flash with a mean of 8 from a flash with a mean of 9 quanta is impossible! The distributions overlap almost completely

7 Mean of 8, vs. mean of 9 If present the flash with a mean of 8 photons many times and a flash with a mean of 9 photons presented many times, there will be many times that the 9 photon flash will have more photons than the 8 photon flash

8 Mean of 8, vs. mean of 12

9 Mean of 8, vs. mean of 16

10 Mean of 8, vs. mean of 20

11 In a Poisson distribution, the variance is equal to the mean. The standard deviation (SD) is the square root of the mean. In a two-alternative forced-choice task, to reach threshold (75% correct), L T must differ from L by 0.95 SD. (e.g.,  L = 0.95 SD)

12 Moreover, as L increases, the minimum threshold  L also increases with the because the variance in a Poisson distribution equals the mean, so the SD changes with the square root of the mean

13 As a result, an “ideal” observer would follow the

14 Theory and Practice In practice: at low background intensities, human observers behave as an ideal detector (follow the deVries-Rose Law)

15 Fig. 3.1

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19 You always can determine the Weber fraction, even when Weber’s Law does not hold

20 Weber’s Law holds Weber’s Law does NOT hold (  L/ L rises as L decreases) Fig. 3.2

21 Both the deVries-Rose and Weber’s laws fail to account for thresholds at high light intensities The increment threshold data of a rod monochromat (circles) plotted along with the theoretical lower limit (deVries-Rose, dotted line) and the predictions of Weber’s Law (solid line). Luminance values are in cd/m 2. (Redrawn from Hess et al. (1990) Fig. 3.3

22 More practical issues: How changes in other stimulus dimensions affect the Weber fraction

23 Fig. 3.4 #1 Stimulus size: the Weber fraction is lower (smaller) for larger test stimuli

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26 Log Background Intensity, L (cd/m 2 ) -7-6-5-4-3-20123 Log Weber Fraction,  L/L -3 -2 0 1 2 121' 4' Test Field Diameter More practical issues: Is a target visible under certain conditions? Is a spot with a particular luminance, relative to background, visible? It depends on its size. This is the target’s Weber fraction. It is NOT a threshold If the target is 121’, it is visible If 4’, it is not visible

27 Need to distinguish between the Weber fraction of a target vs. the threshold of a viewer. For a subject or patient viewing a target, if the subject’s Weber fraction is below a line, then the subject’s threshold is better (smaller). If the Weber fraction of a target is below the line, the target is NOT visible to someone whose threshold is on the line.

28 The smaller the threshold  L, the smaller is the value of the Weber fraction for a given background L, (only the numerator changes) and the more sensitive the visual system is to differences in light intensity.

29 Fig. 1.2

30 The “dinner plate” example: Plate with luminance of 0.0102 footlamberts. Background is 0.01 footlamberts  L is thus 0.0102– 0.01 = 0.0002.  L/L = 0.0002/0.01 = 0.02 (plate is 2% more intense) From Figure 3-4, can learn that this is not visible.

31 .

32 Log Background Intensity, L (cd/m 2 ) -7-6-5-4-3-20123 Log Weber Fraction,  L/L -3 -2 0 1 2 121' 4' Test Field Diameter More practical issues: Is a target visible under certain conditions? Is a spot with a particular luminance, relative to background, visible? It depends on its size. Plate’s Weber fraction Threshold Weber fraction for 121’ objects

33 #2 Short-duration flashes are harder to see (are less discriminable) than long-duration flashes That is, the threshold  L increases as flash duration becomes shorter. Continuing: How changes in other stimulus dimensions affect the Weber fraction

34 Sensitivity = 1/threshold

35 #3 Threshold  L varies with eccentricity from the fovea At low luminance levels, threshold is lowest (sensitivity is highest) about 15-20 degrees from fovea and the fovea is “blind” At high luminance levels, threshold is lowest at the fovea Continuing: How changes in other stimulus dimensions affect the Weber fraction

36 Fig. 3.5 This is the basis for visual field tests

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38 Sensory Magnitude Scales Revisited Using the “just noticeable difference” (jnd) to create a scale for sensory magnitude vs. stimulus magnitude L + threshold  L = L T L T is one jnd more intense than L. L T + threshold  L = L T2 L T2 is one jnd more intense than L T And so on…

39 Stimulus Luminance, L (cd/m 2 ) 050100150200 Sensory Magnitude 0 2 4 6 8 10 12 L

40 Stimulus Luminance, L (cd/m 2 ) 050100150200 Sensory Magnitude 0 2 4 6 8 10 12 LTLT L L + threshold  L = L T L T is one “just noticeable difference” (jnd) more intense than L.

41 Stimulus Luminance, L (cd/m 2 ) 050100150200 Sensory Magnitude 0 2 4 6 8 10 12 L T + threshold  L = L T2 L T2 is one jnd more intense than L T and 2 jnd’s larger than L LTLT L L T2

42 Stimulus Luminance, L (cd/m 2 ) 050100150200 Sensory Magnitude 0 2 4 6 8 10 12 When Weber’s Law holds, the threshold  Ls keep getting larger, so 1 jnd is a larger increase in stimulus luminance LTLT L L T2 L Tn L Tn+1

43 Stimulus Luminance, L (cd/m 2 ) 050100150200 Sensory Magnitude 0 2 4 6 8 10 12 Fechner's Law: Log(L) Fechner’s Law

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45 Comparing Fechner’s Law with Stevens’ Power Law Stevens’ Power Law resembles Fechner’s Law when the exponent is <1 Fig. 3.6


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