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Steven J. Haase
Researcher at Shippensburg University of Pennsylvania
Publications - Â 38
Citations - Â 472
Steven J. Haase is an academic researcher from Shippensburg University of Pennsylvania. The author has contributed to research in topics: Subliminal stimuli & Perception. The author has an hindex of 11, co-authored 36 publications receiving 426 citations. Previous affiliations of Steven J. Haase include University of Wisconsin-Madison & Gordon College.
Papers
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Journal ArticleDOI
Polarity Effect in Electrovibration for Tactile Display
Kurt A. Kaczmarek,K. Nammi,Abhishek K. Agarwal,Mitchell E. Tyler,Steven J. Haase,David J. Beebe +5 more
TL;DR: Experimental data is presented showing that electrovibratory perceptual sensitivity to positive pulses is less than that for negative or biphasic pulses and it is proposed that this disparity may be due to the asymmetric electrical properties of human skin.
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Pattern identification and perceived stimulus quality as a function of stimulation waveform on a fingertip-scanned electrotactile display
TL;DR: Waveform variables burst frequency, number of pulses per burst (NPB), and pulse repetition rate (PRR) accounted for significant variations in performance with higher levels of F and NPB and lower levels of PRR, leading to better performance.
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Confidence in word detection predicts word identification: implications for an unconscious perception paradigm.
Steven J. Haase,Gary D. Fisk +1 more
TL;DR: The present experiments extend the scope of the independent observation model based on signal detection theory to complex (word) stimulus sets and predicts the relationship between uncertain detection and subsequent correct identification, providing an alternative interpretation to a phenomenon often described as unconscious perception.
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Interaction of Perceived Frequency and Intensity in Fingertip Electrotactile Stimulation: Dissimilarity Ratings and Multidimensional Scaling
TL;DR: Multidimensional scaling analysis revealed that a model having two perceptual dimensions was adequate in representing the electrotactile (electrocutaneous) sensations, and were strongly correlated with the two stimulus variables, frequency and current, although not in a 1:1 correspondence.
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A signal detection theory analysis of an unconscious perception effect.
TL;DR: The independent observation model (Macmillan & Creelman, 1991) is fitted to detection-identification data collected under conditions of heavy masking, and accurately predicts a quantitative relationship between stimulus detection and stimulus identification over a wide range of detection performance.