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Three Elements of Visual Decision Ma...
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Ackermann, John F.
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Three Elements of Visual Decision Making.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Three Elements of Visual Decision Making./
作者:
Ackermann, John F.
面頁冊數:
167 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Contained By:
Dissertation Abstracts International74-07B(E).
標題:
Psychology, Experimental. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3556971
ISBN:
9781267995476
Three Elements of Visual Decision Making.
Ackermann, John F.
Three Elements of Visual Decision Making.
- 167 p.
Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Thesis (Ph.D.)--New York University, 2013.
Decisions made on the basis of visual information are ubiquitous and often of critical importance. The process of visual decision making can be broken down into three essential elements: 1) An encoding phase in which a representation of the image in terms of neural responses is formed, 2) A decision phase in which the encoded image is considered along with the probabilities and potential gains relevant to the task in order to make a decision, 3) a refixation phase in which the decision is delayed in order to allow for eye movements and hence, multiple encodings of the image. In each chapter that follows, we outline one of these elements. We apply probabilistic models to each process in order to generate novel hypotheses as to how each is carried out, and compare these models to the performance of human subjects in a series of experiments. In Chapter 1, subjects performed a visual search task involving complex stimuli with an uncertain angle of rotation. We show that their performance is predicted by a model that represents the stimuli in terms of natural image statistics and not in terms of luminance intensities. In Chapter 2, subjects performed a visual search task in which the probabilities of target occurrence and the rewards for a correct response were varied across potential target locations. In order to maximize their rewards, subject's should bias their choice of target location in line with the probabilities and rewards. We find a commonly observed pattern of suboptimal response bias in which subject do not bias their responses to the degree that they should and thus fail to maximize rewards. We show that this suboptimality is predicted by the subjective, nonlinear weighting of the explicit probabilities and rewards on the part of the subject. In Chapter 3, observers performed a visual search task in which the reward for correct detection was varied across potential target locations. Subject's choice of eye position in the search task differed significantly from that of an ideal observer that chooses the eye position on every trial that maximizes expected gain.
ISBN: 9781267995476Subjects--Topical Terms:
517106
Psychology, Experimental.
Three Elements of Visual Decision Making.
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Decisions made on the basis of visual information are ubiquitous and often of critical importance. The process of visual decision making can be broken down into three essential elements: 1) An encoding phase in which a representation of the image in terms of neural responses is formed, 2) A decision phase in which the encoded image is considered along with the probabilities and potential gains relevant to the task in order to make a decision, 3) a refixation phase in which the decision is delayed in order to allow for eye movements and hence, multiple encodings of the image. In each chapter that follows, we outline one of these elements. We apply probabilistic models to each process in order to generate novel hypotheses as to how each is carried out, and compare these models to the performance of human subjects in a series of experiments. In Chapter 1, subjects performed a visual search task involving complex stimuli with an uncertain angle of rotation. We show that their performance is predicted by a model that represents the stimuli in terms of natural image statistics and not in terms of luminance intensities. In Chapter 2, subjects performed a visual search task in which the probabilities of target occurrence and the rewards for a correct response were varied across potential target locations. In order to maximize their rewards, subject's should bias their choice of target location in line with the probabilities and rewards. We find a commonly observed pattern of suboptimal response bias in which subject do not bias their responses to the degree that they should and thus fail to maximize rewards. We show that this suboptimality is predicted by the subjective, nonlinear weighting of the explicit probabilities and rewards on the part of the subject. In Chapter 3, observers performed a visual search task in which the reward for correct detection was varied across potential target locations. Subject's choice of eye position in the search task differed significantly from that of an ideal observer that chooses the eye position on every trial that maximizes expected gain.
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