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Book ChapterDOI

Task Dependence of Perceptual Deadzone

01 Jan 2018-pp 101-115
TL;DR: The results demonstrate that comparative deadzone is significantly smaller than the discriminative deadzone in terms of their width and the just noticeable difference, suggesting that the task of discriminating two forces is more difficult for a user than to compare which force is greater (or smaller).
Abstract: In this chapter, we study whether the perceptual deadzone depends on the task to be performed during the psychophysical experiments. In order to study this, we design a psychophysical experiment where we define two specific tasks: discriminative and comparative. In the discriminative task, the user must discriminate if the successive stimulus is different from the reference force, be it increasing or decreasing in magnitude. On the other hand, in case of the comparative task, the user has to discriminate the stimulus only along one direction, either increasing or decreasing in magnitude. Responses are recorded for both the tasks for several users. Support vector machine (SVM), a machine learning approach, is applied to the recorded responses to estimate the perceptual deadzone for each task. Our results demonstrate that comparative deadzone is significantly smaller than the discriminative deadzone in terms of their width and the just noticeable difference, suggesting that the task of discriminating two forces is more difficult for a user than to compare which force is greater (or smaller). Hence taking inference of this study, we demonstrate that the perceptual deadzone does depend on the task being performed.
References
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Journal ArticleDOI
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Abstract: The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In this feature space a linear decision surface is constructed. Special properties of the decision surface ensures high generalization ability of the learning machine. The idea behind the support-vector network was previously implemented for the restricted case where the training data can be separated without errors. We here extend this result to non-separable training data. High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated. We also compare the performance of the support-vector network to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.

37,861 citations

Book
01 Dec 2015
TL;DR: The theory of signal detection has been studied extensively in the literature, see as mentioned in this paper for an overview. But the application of TSD is limited to the measurement of sensory attributes and discrimination scales.
Abstract: Contents: Preface. Psychophysical Measurement of Thresholds: Differential Sensitivity. Psychophysical Measurement of Thresholds: Absolute Sensitivity. The Classical Psychophysical Methods. Classical Psychophysical Theory. The Theory of Signal Detection. Further Considerations of TSD. Procedures of TSD. Some Applications of TSD. The Measurement of Sensory Attributes and Discrimination Scales. Partition Scales. Psychophysical Ration Scaling. Evaluation of Ratio Scaling Methods. The Psychophysical Law. Some Fundamental Issues in Psychophysical Scaling.

1,088 citations

Journal ArticleDOI
TL;DR: This tutorial focuses on the sense of touch within the context of a fully active human observer and describes an extensive body of research on “what” and “where” channels, the former dealing with haptic perception of objects, surfaces, and their properties, and the latter with perception of spatial layout on the skin and in external space relative to the perceiver.
Abstract: This tutorial focuses on the sense of touch within the context of a fully active human observer. It is intended for graduate students and researchers outside the discipline who seek an introduction to the rapidly evolving field of human haptics. The tutorial begins with a review of peripheral sensory receptors in skin, muscles, tendons, and joints. We then describe an extensive body of research on “what” and “where” channels, the former dealing with haptic perception of objects, surfaces, and their properties, and the latter with perception of spatial layout on the skin and in external space relative to the perceiver. We conclude with a brief discussion of other significant issues in the field, including vision-touch interactions, affective touch, neural plasticity, and applications.

822 citations

Journal ArticleDOI
TL;DR: The general development of adaptive procedures is described, and typically, a threshold value is measured using these methods, and, in some cases, other characteristics of the psychometric function underlying perceptual performance, such as slope, may be developed.
Abstract: As research on sensation and perception has grown more sophisticated during the last century, new adaptive methodologies have been developed to increase efficiency and reliability of measurement. An experimental procedure is said to be adaptive if the physical characteristics of the stimuli on each trial are determined by the stimuli and responses that occurred in the previous trial or sequence of trials. In this paper, the general development of adaptive procedures is described, and three commonly used methods are reviewed. Typically, a threshold value is measured using these methods, and, in some cases, other characteristics of the psychometric function underlying perceptual performance, such as slope, may be developed. Results of simulations and experiments with human subjects are reviewed to evaluate the utility of these adaptive procedures and the special circumstances under which one might be superior to another.

735 citations

Journal ArticleDOI
TL;DR: In this review, classical psychophysical techniques used to measure sensory thresholds are described as well as more modern methods such as adaptive procedures and those associated with signal detection theory.
Abstract: Various psychophysical methods have been used to study human haptic perception, although the selection of a particular method is often based on convention, rather than an analysis of which technique is optimal for the question being addressed. In this review, classical psychophysical techniques used to measure sensory thresholds are described as well as more modern methods such as adaptive procedures and those associated with signal detection theory. Details are provided as to how these techniques should be implemented to measure absolute and difference thresholds and factors that influence subjects' responses are noted. In addition to the methods used to measure sensory thresholds, the techniques available for measuring the perception of suprathreshold stimuli are presented. These scaling methods are reviewed in the context of the various stimulus and response biases that influence how subjects respond to stimuli. The importance of understanding the factors that influence perceptual processing is highlighted throughout the review with reference to experimental studies of haptic perception.

186 citations