Intensity Perception. II. Resolution in One-Interval Paradigms

Braida, Louis D.; Durlach, N. I.

doi:10.1121/1.1912868

Cited by 300 publications

(250 citation statements)

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“…Preliminary experiments with the full range of curved-line stimuli ( Figure 1, section a) suggested that the selected sampling density (approximately .47-min-arc step size) of reference values of the curvature parameter s in conjunction with range effects was not optimum for revealing possible discrete discrimination performance at low values of the curvature parameter s (compare Braida & Durlach, 1972). Additionally, in three-dot discrimination experiments (Foster, 1979(Foster, , 1982b, discrimination performance was evident over deviations from collinearity corresponding to the first half of the present curvature range.…”

Section: Range Effectsmentioning

confidence: 99%

Visual discrimination, categorical identification, and categorical rating in brief displays of curved lines: Implications for discrete encoding processes.

Foster¹

1983

Journal of Experimental Psychology: Human Perception and Perfor

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Visual discrimination, categorical identification, and categorical rating measurements were made on sets of curved-line stimuli drawn from a theoretically uniform continuum with curvature parameter s. In Experiment 1, discriminability of pairs of curved lines separated by a constant distance on the .s scale was measured at successive points along the scale. Curved lines were presented four at a time in a 100-msec display, which was followed by a random-dot mask. Discrimination performance was found to vary nonsmoothly with s. In Experiment 2, a categorical identification task was performed in which subjects labeled the curved-line stimuli of Experiment 1 straight, just curved, and more than just curved. From these data, a theoretical discrimination performance was computed that was closely congruent to the discrimination performance of Experiment 1. In Experiment 3, three different categorical rating scajes with two, three, and four intervals were tested and each was shown to be less effective than the categorical identification scale for predicting discrimination performance. Mean ratings were, however, highly linear with s, suggesting that the curved-line continuum was psychometrically uniform. Experiment 4 provided further evidence for the uniformity of the curved-line continuum by measuring conventional acuity for curvature. Two rather than four curved lines were presented in each display; duration was increased to 2 sec; and the poststimulus mask was omitted. Acuity was found to vary linearly with s. It was concluded that under conditions in which attention is distributed over a number of elements in the field and in which viewing and effective visual processing time are restricted, performance in discriminating curved-line stimuli may be determined by relatively coarse, discrete visual processes.

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Section: Range Effectsmentioning

confidence: 99%

Visual discrimination, categorical identification, and categorical rating in brief displays of curved lines: Implications for discrete encoding processes.

Foster¹

1983

Journal of Experimental Psychology: Human Perception and Perfor

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Section: Range-frequency Theorymentioning

confidence: 99%

“…Although this approach has certain advantages in accounting for the variability of judgment (Parducci, 1965), subsequent research (Parducci & Perrett, 1971) demonstrated that the effects of various manipulations of the distribution of contextual stimuli were fit better by the present model, which ignores the variability of stimulus representation. Because variations in range have a large effect on the variability of judgment, it can be assumed that the discriminal dispersion for each stimulus is relatively small (Braida & Durlach, 1972;Parducci & Perrett, 1971).The essential idea of range-frequency theory (elaborated in Parducci, 1983) is that the judgment of any particular stimulus represents a compromise between two principles of judgment:(a) The respective categories are assigned to successive, subjec- an equal number of contextual stimuli were assigned to each category while maintaining an ordinal scale); and w is the weighting parameter describing the compromise between the two principles of judgment.In the earliest formulation of range-frequency theory (Parducci et al, I960), the actual values of the numerals printed on the page were used to determine the range values. For example, the numeral 550 was assumed to be at the midpoint of the subjective range of a contextual set of numerals that extended from 100 to 1,000.…”

mentioning

confidence: 99%

The category effect with rating scales: Number of categories, number of stimuli, and method of presentation.

Parducci¹,

Wedell²

1986

Journal of Experimental Psychology: Human Perception and Perfor

132

196

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Squares receive higher category ratings when the smaller sizes are presented more frequently than the larger sizes. This shift in the rating scale is greater when there are either fewer categories (the Category Effect) or more stimuli. Similar shifts were obtained whether the stimuli were presented successively for judgment or simultaneously. The Category Effect also occurred when subjects were not told how many categories to use until after the contextual stimuli had been presented. A simple range-frequency model describes most of the shifts in scale by variations in a single weighting parameter. However, these shifts are predicted by an elaborated model in which the number of representations of any stimulus in working memory is limited by a principle of consistent assignment of each stimulus to a single category. This elaborated model correctly predicts the disapearance of the Category Effect when contexts are manipulated by varying the spacing of stimulus values rather than by varying their relative frequencies. Category ratings are probably the most frequently used of dependent variables in psychological research, perhaps because they reflect the way people ordinarily express value judgments.

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“…The discriminability d' is the discrimination index as used in signal detection theory (Green and Swets, 1966 ;Swets, 1973), and has additivity properties made precise by Braida and Durlach (1972 …”

Section: D'(s) = Yh~(wh2eh2(s)) -}-Yke(wkeeko(s)) mentioning

confidence: 99%

Characterization of discrete and continuous modes of visual pattern discrimination

Ferraro

Foster

1984

Biol. Cybern.

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Abstract. Discrete and continuous modes of visual pattern discrimination performance are analyzed using a model for the investigation of discrete internal pattern representations described in previous papers (Foster, 1980a, b). A simple quantitative criterion is derived to characterize the two kinds of visual discrimination performance. Values predicted by this criterion are then compared with values obtained from experimental data.

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Intensity Perception. II. Resolution in One-Interval Paradigms

Cited by 300 publications

References 3 publications

Visual discrimination, categorical identification, and categorical rating in brief displays of curved lines: Implications for discrete encoding processes.

Visual discrimination, categorical identification, and categorical rating in brief displays of curved lines: Implications for discrete encoding processes.

The category effect with rating scales: Number of categories, number of stimuli, and method of presentation.

Characterization of discrete and continuous modes of visual pattern discrimination

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