Signal-detection analysis of the Müller-Lyer and the Horizontal-Vertical illusions.

G. M. Brosvic; N. A. Civale; P. Long; D. Kieley; K. Kristoff; N. Memblatt; R. Gordon; L. Parris; C. Giambelluca; R. E. Dihoff

doi:10.2466/pms.1994.79.3.1299

Signal-detection analysis of the Müller-Lyer and the Horizontal-Vertical illusions.

G. M. Brosvic, N. A. Civale, P. Long, D. Kieley, K. Kristoff, N. Memblatt, R. Gordon, L. Parris, C. Giambelluca, R. E. Dihoff

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Perceptual error in the Müller-Lyer and the Horizontal-Vertical illusions was quantified using nonparametric signal-detection measures of sensitivity and response bias. Sensitivity scores were positively related to signal strength with the greatest values observed for the strongest signals. Sensitivity at each signal strength did not differ between the two illusions. Response-bias scores were inversely related to signal strength, with the most conservative biases observed for the strongest signals. Response biases for each signal strength were significantly more conservative for the Horizontal-Vertical than for the Müller-Lyer illusion.

Original language	English (US)
Pages (from-to)	1299-1304
Number of pages	6
Journal	Perceptual and Motor Skills
Volume	79
Issue number	3 Pt 1
DOIs	https://doi.org/10.2466/pms.1994.79.3.1299
State	Published - Dec 1994
Externally published	Yes

All Science Journal Classification (ASJC) codes

Experimental and Cognitive Psychology
Sensory Systems

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title = "Signal-detection analysis of the M{\"u}ller-Lyer and the Horizontal-Vertical illusions.",

abstract = "Perceptual error in the M{\"u}ller-Lyer and the Horizontal-Vertical illusions was quantified using nonparametric signal-detection measures of sensitivity and response bias. Sensitivity scores were positively related to signal strength with the greatest values observed for the strongest signals. Sensitivity at each signal strength did not differ between the two illusions. Response-bias scores were inversely related to signal strength, with the most conservative biases observed for the strongest signals. Response biases for each signal strength were significantly more conservative for the Horizontal-Vertical than for the M{\"u}ller-Lyer illusion.",

author = "Brosvic, {G. M.} and Civale, {N. A.} and P. Long and D. Kieley and K. Kristoff and N. Memblatt and R. Gordon and L. Parris and C. Giambelluca and Dihoff, {R. E.}",

year = "1994",

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AU - Brosvic, G. M.

AU - Civale, N. A.

AU - Long, P.

AU - Kieley, D.

AU - Kristoff, K.

AU - Memblatt, N.

AU - Gordon, R.

AU - Parris, L.

AU - Giambelluca, C.

AU - Dihoff, R. E.

PY - 1994/12

Y1 - 1994/12

N2 - Perceptual error in the Müller-Lyer and the Horizontal-Vertical illusions was quantified using nonparametric signal-detection measures of sensitivity and response bias. Sensitivity scores were positively related to signal strength with the greatest values observed for the strongest signals. Sensitivity at each signal strength did not differ between the two illusions. Response-bias scores were inversely related to signal strength, with the most conservative biases observed for the strongest signals. Response biases for each signal strength were significantly more conservative for the Horizontal-Vertical than for the Müller-Lyer illusion.

AB - Perceptual error in the Müller-Lyer and the Horizontal-Vertical illusions was quantified using nonparametric signal-detection measures of sensitivity and response bias. Sensitivity scores were positively related to signal strength with the greatest values observed for the strongest signals. Sensitivity at each signal strength did not differ between the two illusions. Response-bias scores were inversely related to signal strength, with the most conservative biases observed for the strongest signals. Response biases for each signal strength were significantly more conservative for the Horizontal-Vertical than for the Müller-Lyer illusion.

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Signal-detection analysis of the Müller-Lyer and the Horizontal-Vertical illusions.

Abstract

All Science Journal Classification (ASJC) codes

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