scholarly journals Divided attention impairs detection of simple visual features

2021 ◽  
Author(s):  
Amelia Haruka Harrison ◽  
sam ling ◽  
Joshua J. Foster

Covert spatial attention allows us to prioritize processing at relevant locations. There is substantial evidence that perception is poorer when attention is distributed across multiple locations than when attention is focused on a single location. However, recent work suggests that may not always be the case: divided attention does not appear to impair detection of simple visual features that are represented in primary visual cortex. Here, we re-examined this possibility. In two experiments, observers detected a simple target (a vertical Gabor), and we manipulated whether attention was focused at one location (focal-cue condition) or distributed across two locations (distributed-cue condition). In Experiment 1, targets could appear independently at each location. Thus, observers needed to judge target presence for each location separately in the distributed-cue condition. Under these conditions, we found a robust cost of dividing attention. In this experiment, the cost of dividing attention could reflect either a limit in perceptual processing or a limit in decision making. Therefore, in Experiment 2, we simplified the task to more directly test whether dividing attention impairs perceptual processing of the target. Specifically, only one target could appear on each trial, such that observers made the exact same decision in both conditions (“was a target present?”). Here, we found a marginal cost of dividing attention on performance, that was weaker than the cost in Experiment 1. Together, our results suggest that divided attention does impair detection of simple visual features, but that this cost is primarily due to limits in post-perceptual decision making.

2012 ◽  
Vol 32 (11) ◽  
pp. 3612-3628 ◽  
Author(s):  
J. Drugowitsch ◽  
R. Moreno-Bote ◽  
A. K. Churchland ◽  
M. N. Shadlen ◽  
A. Pouget

2018 ◽  
Vol 41 ◽  
Author(s):  
Yury P. Shimansky ◽  
Natalia Dounskaia

AbstractA more general form of optimality approach applied to the entire behavioral paradigm should be used instead of abandoning the optimality approach. Adding the cost of information processing to the optimality criterion and taking into account some other recently proposed aspects of decision optimization could substantially increase the explanatory power of an optimality approach to modeling perceptual decision making.


2020 ◽  
Vol 18 (6) ◽  
pp. 3006-3044
Author(s):  
Michael Mandler

Abstract To minimize the cost of making decisions, an agent should use criteria to sort alternatives and each criterion should sort coarsely. To decide on a movie, for example, an agent could use one criterion that orders movies by genre categories, another by director categories, and so on, with a small number of categories in each case. The agent then needs to aggregate the criterion orderings, possibly by a weighted vote, to arrive at choices. As criteria become coarser (each criterion has fewer categories) decision-making costs fall, even though an agent must then use more criteria. The most efficient option is consequently to select the binary criteria with two categories each. This result holds even when the marginal cost of using additional categories diminishes to 0. The extensive use of coarse criteria in practice may therefore be a result of optimization rather than cognitive limitations. Binary criteria also generate choice functions that maximize rational preferences: decision-making efficiency implies rational choice.


Vestnik MGSU ◽  
2020 ◽  
pp. 1693-1707
Author(s):  
Pavel A. Zhuravlev ◽  
Artur M. Marukyan

Introduction. Investment value assessment, investment decision making, and successful implementation of investment and construction projects at all stages of their life cycles depend on high-quality feasibility studies focused on budget investments. The purpose of the work is to substantiate budget investments (calculation of the estimated (marginal) cost) by means of modeling and ensuring the compliance between the cost of similar types of work at other construction facilities and requested capacity values or types of work specified in design assignments or preliminary project documentation packages. Materials and methods. The co-authors analyzed the technical requirements and conditions affecting pre-project solutions (engineering studies), as well as the feasibility and expediency of the project implementation. The calculation of projected (marginal) project costs performed to substantiate budget investments in accordance with established administrative/territorial, organizational, technical and technological pre-design solutions and alternative engineering options, is implemented by means of modeling the costs to be incurred and assignments fulfilled at a similar construction facility. Results. Budget investments are substantiated by the analysis of the estimated (marginal) cost, performed on the basis of cost parameters and types of works performed at a similar construction facility and with regard for the features and requirements set in the design assignment and pre-project documentation. Conclusions. The significance of the research project consists in the practical application of the process of modeling the cost of similar construction facilities in the course of compiling a package of documents to substantiate the investments to be made, assess the investment value and make a contribution to investment decision making.


Author(s):  
Thomas J. Palmeri ◽  
Jeffrey D. Schall ◽  
Gordon D. Logan

Mathematical psychology and systems neuroscience have converged on stochastic accumulator models to explain decision making. We examined saccade decisions in monkeys while neurophysiological recordings were made within their frontal eye field. Accumulator models were tested on how well they fit response probabilities and distributions of response times to make saccades. We connected these models with neurophysiology. To test the hypothesis that visually responsive neurons represented perceptual evidence driving accumulation, we replaced perceptual processing time and drift rate parameters with recorded neurophysiology from those neurons. To test the hypothesis that movement related neurons instantiated the accumulator, we compared measures of neural dynamics with predicted measures of accumulator dynamics. Thus, neurophysiology both provides a constraint on model assumptions and data for model selection. We highlight a gated accumulator model that accounts for saccade behavior during visual search, predicts neurophysiology during search, and provides insights into the locus of cognitive control over decisions.


2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı

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.


2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks

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.


2020 ◽  
Author(s):  
Medha Shekhar ◽  
Dobromir Rahnev

Humans have the metacognitive ability to judge the accuracy of their own decisions via confidence ratings. A substantial body of research has demonstrated that human metacognition is fallible but it remains unclear how metacognitive inefficiency should be incorporated into a mechanistic model of confidence generation. Here we show that, contrary to what is typically assumed, metacognitive inefficiency depends on the level of confidence. We found that, across five different datasets and four different measures of metacognition, metacognitive ability decreased with higher confidence ratings. To understand the nature of this effect, we collected a large dataset of 20 subjects completing 2,800 trials each and providing confidence ratings on a continuous scale. The results demonstrated a robustly nonlinear zROC curve with downward curvature, despite a decades-old assumption of linearity. This pattern of results was reproduced by a new mechanistic model of confidence generation, which assumes the existence of lognormally-distributed metacognitive noise. The model outperformed competing models either lacking metacognitive noise altogether or featuring Gaussian metacognitive noise. Further, the model could generate a measure of metacognitive ability which was independent of confidence levels. These findings establish an empirically-validated model of confidence generation, have significant implications about measures of metacognitive ability, and begin to reveal the underlying nature of metacognitive inefficiency.


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