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Information Foraging for Perceptual Decisions

Research output: Contribution to journalArticle

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Information Foraging for Perceptual Decisions. / Ludwig, Casimir J H; Evens, David R.

In: Journal of Experimental Psychology: Human Perception and Performance, Vol. 43, No. 2, 02.2017, p. 245-264.

Research output: Contribution to journalArticle

Harvard

Ludwig, CJH & Evens, DR 2017, 'Information Foraging for Perceptual Decisions', Journal of Experimental Psychology: Human Perception and Performance, vol. 43, no. 2, pp. 245-264. https://doi.org/10.1037/xhp0000299

APA

Ludwig, C. J. H., & Evens, D. R. (2017). Information Foraging for Perceptual Decisions. Journal of Experimental Psychology: Human Perception and Performance, 43(2), 245-264. https://doi.org/10.1037/xhp0000299

Vancouver

Ludwig CJH, Evens DR. Information Foraging for Perceptual Decisions. Journal of Experimental Psychology: Human Perception and Performance. 2017 Feb;43(2):245-264. https://doi.org/10.1037/xhp0000299

Author

Ludwig, Casimir J H ; Evens, David R. / Information Foraging for Perceptual Decisions. In: Journal of Experimental Psychology: Human Perception and Performance. 2017 ; Vol. 43, No. 2. pp. 245-264.

Bibtex

@article{5ebe24cfc2a94468b1bcfdb38d11151e,
title = "Information Foraging for Perceptual Decisions",
abstract = "We tested an information foraging framework to characterise the mechanisms that drive active (visual) sampling behaviour in decision problems that involve multiple sources of information. Experiments 1-3 involved participants making an absolute judgement about the direction of motion of a single random dot motion pattern. In Experiment 4, participants made a relative comparison between two motion patterns that could only be sampled sequentially. Our results show that: (i) Information (about noisy motion information) grows to an asymptotic level that depends on the quality of the information source; (ii) The limited growth is due to unequal weighting of the incoming sensory evidence, with early samples being weighted more heavily; (iii) Little information is lost once a new source of information is being sampled; (iv) The point at which the observer switches from one source to another is governed by online monitoring of his or her degree of (un)certainty about the sampled source. These findings demonstrate that the sampling strategy in perceptual decision-making is under some direct control by ongoing cognitive processing. More specifically, participants are able to track a measure of (un)certainty and use this information to guide their sampling behaviour.",
keywords = "decision making, information search, eye movements, attention, computational models",
author = "Ludwig, {Casimir J H} and Evens, {David R}",
year = "2017",
month = "2",
doi = "10.1037/xhp0000299",
language = "English",
volume = "43",
pages = "245--264",
journal = "Journal of Experimental Psychology: Human Perception and Performance",
issn = "0096-1523",
publisher = "American Psychological Association Inc.",
number = "2",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Information Foraging for Perceptual Decisions

AU - Ludwig, Casimir J H

AU - Evens, David R

PY - 2017/2

Y1 - 2017/2

N2 - We tested an information foraging framework to characterise the mechanisms that drive active (visual) sampling behaviour in decision problems that involve multiple sources of information. Experiments 1-3 involved participants making an absolute judgement about the direction of motion of a single random dot motion pattern. In Experiment 4, participants made a relative comparison between two motion patterns that could only be sampled sequentially. Our results show that: (i) Information (about noisy motion information) grows to an asymptotic level that depends on the quality of the information source; (ii) The limited growth is due to unequal weighting of the incoming sensory evidence, with early samples being weighted more heavily; (iii) Little information is lost once a new source of information is being sampled; (iv) The point at which the observer switches from one source to another is governed by online monitoring of his or her degree of (un)certainty about the sampled source. These findings demonstrate that the sampling strategy in perceptual decision-making is under some direct control by ongoing cognitive processing. More specifically, participants are able to track a measure of (un)certainty and use this information to guide their sampling behaviour.

AB - We tested an information foraging framework to characterise the mechanisms that drive active (visual) sampling behaviour in decision problems that involve multiple sources of information. Experiments 1-3 involved participants making an absolute judgement about the direction of motion of a single random dot motion pattern. In Experiment 4, participants made a relative comparison between two motion patterns that could only be sampled sequentially. Our results show that: (i) Information (about noisy motion information) grows to an asymptotic level that depends on the quality of the information source; (ii) The limited growth is due to unequal weighting of the incoming sensory evidence, with early samples being weighted more heavily; (iii) Little information is lost once a new source of information is being sampled; (iv) The point at which the observer switches from one source to another is governed by online monitoring of his or her degree of (un)certainty about the sampled source. These findings demonstrate that the sampling strategy in perceptual decision-making is under some direct control by ongoing cognitive processing. More specifically, participants are able to track a measure of (un)certainty and use this information to guide their sampling behaviour.

KW - decision making

KW - information search

KW - eye movements

KW - attention

KW - computational models

U2 - 10.1037/xhp0000299

DO - 10.1037/xhp0000299

M3 - Article

VL - 43

SP - 245

EP - 264

JO - Journal of Experimental Psychology: Human Perception and Performance

JF - Journal of Experimental Psychology: Human Perception and Performance

SN - 0096-1523

IS - 2

ER -