scholarly journals Confidence boosts serial dependence in orientation estimation

2018 ◽  
Author(s):  
Jason Samaha ◽  
Missy Switzky ◽  
Bradley R. Postle
Keyword(s):  
Decision Making ◽  
Task Performance ◽  
Signal Quality ◽  
Serial Dependence ◽  
Perceptual Decision Making ◽  
Subjective Estimate ◽  
Subjective Confidence ◽  
Internal Signal ◽  
Normative Models ◽  
Subjective Estimates

AbstractIn the absence of external feedback, a decision maker must rely on a subjective estimate of their decision accuracy in order to appropriately guide behavior. Normative models of perceptual decision making relate subjective estimates of internal signal quality (e.g. confidence) directly to the internal signal quality itself, thereby making it unknowable whether the subjective estimate or the underlying signal is what drives behavior. We constructed stimuli that dissociated human observer’s performance on a visual estimation task from their subjective estimates of confidence in their performance, thus violating normative principles. To understand whether confidence influences future decision making, we examined serial dependence in observer’s responses, a phenomenon whereby the estimate of a stimulus on the current trial can be biased towards the stimulus from the previous trial. We found that when decisions were made with high confidence, they conferred stronger biases upon the following trial, suggesting that confidence may enhance serial dependence. Critically, this finding was true also when confidence was experimentally dissociated from task performance, indicating that subjective confidence, independent of signal quality, can amplify serial dependence. These findings demonstrate an effect of confidence on future behavior, independent of task performance, and suggest that perceptual decisions incorporate recent history in an uncertainty-weighted manner, but where the uncertainty carried forward is a subjectively estimated and possibly suboptimal readout of objective sensory uncertainty.

scholarly journals Isolating cultural contributions to metacognition

2021 ◽  
Author(s):  
Elisa van der Plas ◽  
Shiqi Zhang ◽  
Keer Dong ◽  
Dan Bang ◽  
Jian LI ◽  
...  
Keyword(s):  
Decision Making ◽  
Task Performance ◽  
Direct Evidence ◽  
Initial Step ◽  
General Intelligence ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
First Order ◽  
Following Error ◽  
Beijing China

Some aspects of human metacognition, such as the ability to consciously evaluate our beliefs and decisions, are thought to be culturally acquired. However, direct evidence for this claim is lacking. As an initial step in answering this question, here we examine differences in metacognitive performance between populations matched for occupation (students), income, demographics and general intelligence, but drawn from two distinct cultural milieus (Beijing, China and London, UK). We show that Chinese participants have heightened metacognitive evaluation of perceptual decision-making task performance in comparison with UK participants. These differences manifested in boosts to post-decisional processing following error trials, despite an absence of differences in first-order performance. In a second experiment, we replicate these findings in a new task that replaced post-decision evidence with equivalent social advice. Together, our results are consistent with a proposal that metacognitive capacity is shaped via socio-cultural interactions.

scholarly journals Combining 3D-MOT with motor and perceptual decision-making tasks: conception of a life-sized virtual perceptual-cognitive training paradigm

2019 ◽  
Author(s):  
Thomas Romeas ◽  
Romain Chaumillon ◽  
David Labbé ◽  
Jocelyn Faubert
Keyword(s):  
Decision Making ◽  
Task Performance ◽  
Dual Task ◽  
Three Dimensional ◽  
Motor Task ◽  
Perceptual Decision Making ◽  
Shared Resources ◽  
Training Conditions ◽  
Simultaneous Training ◽  
The Impact

AbstractThe present study introduces a virtual life-sized perceptual-cognitive paradigm combining three dimensional multiple object tracking (3D-MOT) with motor (Experiment 1) or perceptual (Experiment 2) decision-making tasks. The objectives were to assess the impact of training on task performance and to determine the best training conditions for improvement and learning.Seventy-one participants were randomly trained under one of four training conditions (isolated 3D-MOT task, 3D-MOT simultaneously combined with a decision-making task, consolidated 3D-MOT and decision-making task, isolated decision-making task). Task performance was evaluated using speed thresholds, decision accuracy (%) and reaction time (s).Findings showed that the dual-task paradigm allowed satisfactory degrees of performance on both tasks despite an important dual-task cost. Interestingly, the results seemed to favor consolidated over simultaneous training for dual-task performance when 3D-MOT was combined with a motor task. The amount of attentional shared resources in regards to the nature of the additional task was discussed.

scholarly journals Combining 3D-MOT With Sport Decision-Making for Perceptual-Cognitive Training in Virtual Reality

2019 ◽  
Vol 126 (5) ◽  
pp. 922-948 ◽  
Author(s):  
Thomas Romeas ◽  
Romain Chaumillon ◽  
David Labbé ◽  
Jocelyn Faubert
Keyword(s):  
Decision Making ◽  
Task Performance ◽  
Cognitive Training ◽  
Dual Task ◽  
Three Dimensional ◽  
Perceptual Decision Making ◽  
Training Conditions ◽  
Additional Task ◽  
Dual Task Paradigm ◽  
The Impact

This study introduces a virtual life-sized perceptual-cognitive training paradigm that combines three-dimensional multiple object tracking (3D-MOT) with motor (Experiment 1) or perceptual (Experiment 2) sport decision-making tasks. We sought to assess the impact of training on task performance and determine optimal training conditions for improvement and learning. Fifty-seven participants were randomly assigned to one of four training conditions (isolated 3D-MOT, 3D-MOT combined with a decision-making task, consolidated 3D-MOT later combined with a decision-making task, and isolated decision-making task). We evaluated task performance using speed thresholds, success rate (%), and reaction time (s). Findings were that the dual-task paradigm was associated with performance beyond chance level on both 3D-MOT and decision-making tasks despite an important dual-task cost. Interestingly, the results seemed to favor consolidated 3D-MOT training over simultaneous 3D-MOT training when combined with a motor decision-making task but not when combined with a perceptual decision-making task. The number of shared attentional resources in the nature of the additional task (i.e., perceptual or motor decision-making) seems to be key in interpreting the dual-task interference. These findings must be considered when designing representative multitask perceptual-cognitive training.

scholarly journals Bayesian confidence in optimal decisions

2020 ◽  
Author(s):  
Joshua Michael Calder-Travis ◽  
Lucie Charles ◽  
Rafal Bogacz ◽  
Nick Yeung
Keyword(s):  
Decision Making ◽  
Response Times ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Decision Mechanism ◽  
Trial Basis ◽  
The Difference ◽  
Normative Models ◽  
The Brain ◽  
Quantitative Account

The drift diffusion model (DDM) provides an excellent account of decisions and response times. It also features the optimal property of tracking the difference in evidence between two options. However, the DDM struggles to account for human confidence reports, because responses are triggered when the difference in evidence reaches a set value, suggesting confidence in all decisions should be equal. Previously considered extensions to the DDM fall short of providing an adequate quantitative account of confidence. Possibly because of this, much confidence research has used non-normative models of the decision mechanism. Motivated by the idea that perceptual decision-making will reflect optimal computation, we consider 9 variants of the DDM. Motivated by the idea that the brain will not duplicate the representation of evidence, in all model variants confidence is read out from the decision mechanism. We compare the models to benchmark results, and make 4 qualitative predictions which we verify in a preregistered study. Modelling confidence on a trial-by-trial basis, we find that a subset of model variants provide an excellent account of the precise quantitative effects observed in confidence data. Specifically, models in which confidence reflects a miscalibrated Bayesian readout perform best. These results support the claim that confidence is based on the decision mechanism, which is itself optimal. Therefore, there is no need to abandon the idea that the implementation of perceptual decision-making will reflect optimal computation.

scholarly journals Individual difference in serial dependence results from opposite influences of perceptual choices and motor responses

2019 ◽  
Author(s):  
Huihui Zhang ◽  
David Alais
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Serial Dependence ◽  
Perceptual Decision Making ◽  
Motor Responses ◽  
Perceptual Decision ◽  
Response Mapping ◽  
Stimulus Response ◽  
Serial Effect ◽  
Per Se

AbstractNatural image statistics exhibit temporal regularities of slow changes and short-term correlations and visual perception, too, is biased towards recently seen stimuli, i.e., a positive serial dependence. Some studies report strong individual differences in serial dependence in perceptual decision making: some observers show positive serial effects, others repulsive effects, and some show no bias. To understand these contrasting results, this study separates the influences of physical stimuli per se, perceptual choices and motor responses on serial dependence in perceptual decision making. In two experiments, human observers reported which orientation (45° or −45°, at threshold contrast) they perceived. Experiment 1, used a consistent mapping between stimulus and response buttons while in Experiment 2, observers did two tasks: one with a consistent stimulus-response mapping, the other with a random stimulus-response mapping (perceptual choice and motor response unrelated). Results show that the stimulus percept (not the physical stimulus per se) affected subsequent perceptual choices in an attractive way, and that motor responses produced a repulsive serial effect. When the choice-response mapping was consistent (inseparable choice and response, typical of most experiments), individual differences in the overall serial effect was observed: some were positive, some repulsive, and some were bias-free. These individual differences likely reflect different relative weightings in individuals of a positive choice bias and a repulsive motor bias.

scholarly journals Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence

2018 ◽  
Vol 115 (7) ◽  
pp. E1588-E1597 ◽  
Author(s):  
Brian Odegaard ◽  
Piercesare Grimaldi ◽  
Seong Hah Cho ◽  
Megan A. K. Peters ◽  
Hakwan Lau ◽  
...  
Keyword(s):  
Decision Making ◽  
Superior Colliculus ◽  
Critical Role ◽  
Perceptual Decision Making ◽  
Decision Accuracy ◽  
Perceptual Decision ◽  
Decision Confidence ◽  
Brain Signals ◽  
Subjective Confidence ◽  
The Brain

Recent studies suggest that neurons in sensorimotor circuits involved in perceptual decision-making also play a role in decision confidence. In these studies, confidence is often considered to be an optimal readout of the probability that a decision is correct. However, the information leading to decision accuracy and the report of confidence often covaried, leaving open the possibility that there are actually two dissociable signal types in the brain: signals that correlate with decision accuracy (optimal confidence) and signals that correlate with subjects’ behavioral reports of confidence (subjective confidence). We recorded neuronal activity from a sensorimotor decision area, the superior colliculus (SC) of monkeys, while they performed two different tasks. In our first task, decision accuracy and confidence covaried, as in previous studies. In our second task, we implemented a motion discrimination task with stimuli that were matched for decision accuracy but produced different levels of confidence, as reflected by behavioral reports. We used a multivariate decoder to predict monkeys’ choices from neuronal population activity. As in previous studies on perceptual decision-making mechanisms, we found that neuronal decoding performance increased as decision accuracy increased. However, when decision accuracy was matched, performance of the decoder was similar between high and low subjective confidence conditions. These results show that the SC likely signals optimal decision confidence similar to previously reported cortical mechanisms, but is unlikely to play a critical role in subjective confidence. The results also motivate future investigations to determine where in the brain signals related to subjective confidence reside.

Attention and Decision-Making

2014 ◽  
Author(s):  
Christopher Summerfield ◽  
Tobias Egner
Keyword(s):  
Decision Making ◽  
Signal Detection Theory ◽  
Formal Models ◽  
Early Vision ◽  
Perceptual Decision Making ◽  
Sensory Stimuli ◽  
Serial Sampling ◽  
Normative Models ◽  
The Relationship ◽  
Enhance Activity

This chapter reviews formal models of the decision process in humans and other primates, and discusses divergent accounts of how attention might intervene to bias or facilitate judgements about sensory stimuli. The review covers established decision-theoretic models, such as signal detection theory and serial sampling models, and other computational accounts that draw upon psychophysical and neurobiological mechanisms of early vision. It considers whether such decisions are limited by attentional capacity, or by noise, as suggested by normative models of choice. The authors revisit a debate concerning whether attention acts to boost inputs, enhance activity, or reduce noise. Finally, the authors consider the relationship between attention and expectation in perceptual decision-making.

scholarly journals Superior Colliculus Neuronal Ensemble Activity Signals Optimal Rather Than Subjective Confidence

2017 ◽  
Author(s):  
Brian Odegaard ◽  
Piercesare Grimaldi ◽  
Seong Hah Cho ◽  
Megan A.K. Peters ◽  
Hakwan Lau ◽  
...  
Keyword(s):  
Decision Making ◽  
Superior Colliculus ◽  
Discrimination Task ◽  
Perceptual Decision Making ◽  
Decision Accuracy ◽  
Perceptual Decision ◽  
Decision Confidence ◽  
Brain Signals ◽  
Subjective Confidence ◽  
The Brain

AbstractRecent studies suggest that neurons in sensorimotor circuits involved in perceptual decision-making also play a role in decision confidence. In these studies, confidence is often considered to be an optimal readout of the probability that a decision is correct. However, the information leading to decision accuracy and the report of confidence often co-varied, leaving open the possibility that there are actually two dissociable signal types in the brain: signals that correlate with decision accuracy (optimal confidence) and signals that correlate with subjects’ behavioral reports of confidence (subjective confidence). We recorded neuronal activity from a sensorimotor decision area, the superior colliculus (SC) of monkeys, while they performed two different tasks. In our first task, decision accuracy and confidence co-varied, as in previous studies. In our second task, we implemented a novel motion discrimination task with stimuli that were matched for decision accuracy but produced different levels of confidence as reflected by behavioral reports. We used a multivariate decoder to predict monkeys’ choices from neuronal population activity. As in previous studies on perceptual decision-making mechanisms, we found that neuronal decoding performance increased as decision accuracy increased. However, when decision accuracy was matched, performance of the decoder was similar between high and low subjective confidence conditions. These results show that the SC likely signals optimal decision confidence similar to previously reported cortical mechanisms, but is unlikely to play a critical role in subjective confidence. The results also motivate future investigations to determine where in the brain signals related to subjective confidence reside.Significance StatementConfidence is thought to reflect the rational or optimal belief concerning one’s choice accuracy. Here, we introduce a novel version of the dot-motion discrimination task with stimulus conditions that produce similar accuracy but different subjective behavioral reports of confidence. We decoded decision performance of this task from neuronal signals in the superior colliculus (SC), a subcortical region involved in decision-making. We found that SC activity signaled a perceptual decision for visual stimuli, with the strength of this activity reflecting decision accuracy, but not the subjective level of confidence as reflected by behavioral reports. These results demonstrate an important role for the SC in perceptual decision-making and challenge current ideas about how to measure subjective confidence in monkeys and humans.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

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