scholarly journals Information foraging for perceptual decisions

2016 ◽  
Author(s):  
Casimir Johannes Hendrikus Ludwig ◽  
David R. Evens
Keyword(s):  
Cognitive Processing ◽  
Information Source ◽  
Sampling Strategy ◽  
Sources Of Information ◽  
Perceptual Decision Making ◽  
Multiple Sources ◽  
Information Foraging ◽  
Motion Patterns ◽  
Dot Motion ◽  
Absolute Judgement

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 on-line 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.

scholarly journals Multi-Source Neural Variational Inference

2019 ◽  
Vol 33 ◽  
pp. 4114-4121
Author(s):  
Richard Kurle ◽  
Stephan Günnemann ◽  
Patrick Van der Smagt
Keyword(s):  
Latent Variables ◽  
Information Sources ◽  
Information Source ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Learning Framework ◽  
Trade Offs ◽  
Variational Autoencoder ◽  
Learning Research ◽  
Inference Methods

Learning from multiple sources of information is an important problem in machine-learning research. The key challenges are learning representations and formulating inference methods that take into account the complementarity and redundancy of various information sources. In this paper we formulate a variational autoencoder based multi-source learning framework in which each encoder is conditioned on a different information source. This allows us to relate the sources via the shared latent variables by computing divergence measures between individual source’s posterior approximations. We explore a variety of options to learn these encoders and to integrate the beliefs they compute into a consistent posterior approximation. We visualise learned beliefs on a toy dataset and evaluate our methods for learning shared representations and structured output prediction, showing trade-offs of learning separate encoders for each information source. Furthermore, we demonstrate how conflict detection and redundancy can increase robustness of inference in a multi-source setting.

scholarly journals Confidence Predictions Affect Performance Confidence and Neural Preparation in Perceptual Decision Making.

2017 ◽  
Author(s):  
Anne-Marike Schiffer ◽  
Annika Boldt ◽  
Florian Waszak ◽  
Nick Yeung
Keyword(s):  
Decision Making ◽  
Color Discrimination ◽  
Sources Of Information ◽  
Perceptual Decision Making ◽  
Multiple Sources ◽  
Behavioral Measures ◽  
Confidence Judgments ◽  
Source Of Information ◽  
Preparation And Evaluation ◽  
Confidence Estimate

The decisions we make are usually accompanied by a feeling of being wrong or right – a confidence estimate regarding the correctness of our decisions. The questions which information this confidence estimate is based on, and what confidence is used for, have increasingly become a focus of research into decision-making. This research has largely focused on confidence regarding current or past decisions, and successfully identified for example how characteristics of the stimulus affect confidence, and how communicating confidence can affect group decisions. Here, we report two studies which implemented a color-discrimination task which introduced a novel metacognitive measure: predictions of confidence for future perceptual decisions. Using behavioral measures, computational modeling, and EEG, we tested the hypothesis that experience-based confidence predictions are one source of information which affects how confident we are in future decision-making and that one key purpose of confidence is to prepare future encounters of a task. Results from both studies show that participants develop precise confidence predictions informed by confidence experienced in past trials. Notably, our results show a bi-directional link between predicted and experienced (performance) confidence: confidence predictions are not only informed by, but can also modulate performance confidence; this finding supports our recent proposal that confidence judgments are based on multiple sources of information, including expectations. We found further support for this bi-directional link in neural correlates of stimulus-preparation and processing. EEG measures of preparatory neural activity (contingent negative variation; CNV) and evidence accumulation (centro-parietal positivity; CPP) show that predicted confidence affects neural preparation for stimulus processing, supporting the proposal that one purpose of confidence judgments may be to learn about performance for future encounters and prepare accordingly.Taken together, our results suggest that confidence integrates information from various sources, and affects neural processing profoundly. The bi-directional link between performance confidence and predicted confidence suggests that confidence signals are exploited to increase precision in preparation and evaluation of future decisions.

scholarly journals The eye in hand: predicting others' behavior by integrating multiple sources of information

2015 ◽  
Vol 113 (7) ◽  
pp. 2271-2279 ◽  
Author(s):  
Ettore Ambrosini ◽  
Giovanni Pezzulo ◽  
Marcello Costantini
Keyword(s):  
Action Observation ◽  
Information Source ◽  
Arm Movement ◽  
Human Action ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Behavioral Measures ◽  
Prediction Ability ◽  
Robust Estimate ◽  
Motor Intention

The ability to predict the outcome of other beings' actions confers significant adaptive advantages. Experiments have assessed that human action observation can use multiple information sources, but it is currently unknown how they are integrated and how conflicts between them are resolved. To address this issue, we designed an action observation paradigm requiring the integration of multiple, potentially conflicting sources of evidence about the action target: the actor's gaze direction, hand preshape, and arm trajectory, and their availability and relative uncertainty in time. In two experiments, we analyzed participants' action prediction ability by using eye tracking and behavioral measures. The results show that the information provided by the actor's gaze affected participants' explicit predictions. However, results also show that gaze information was disregarded as soon as information on the actor's hand preshape was available, and this latter information source had widespread effects on participants' prediction ability. Furthermore, as the action unfolded in time, participants relied increasingly more on the arm movement source, showing sensitivity to its increasing informativeness. Therefore, the results suggest that the brain forms a robust estimate of the actor's motor intention by integrating multiple sources of information. However, when informative motor cues such as a preshaped hand with a given grip are available and might help in selecting action targets, people tend to capitalize on such motor cues, thus turning out to be more accurate and fast in inferring the object to be manipulated by the other's hand.

Supporting the Development of Clinical Reasoning of Preprofessional Novices in Dysphagia Management

2019 ◽  
Vol 40 (03) ◽  
pp. 151-161 ◽  
Author(s):  
Sebastian Doeltgen ◽  
Stacie Attrill ◽  
Joanne Murray
Keyword(s):  
Clinical Reasoning ◽  
Clinical Decision Making ◽  
Management Practice ◽  
Clinical Decision ◽  
Assessment Process ◽  
Evidence Based ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Implicit Processing ◽  
Reasoning Skills

AbstractProficient clinical reasoning is a critical skill in high-quality, evidence-based management of swallowing impairment (dysphagia). Clinical reasoning in this area of practice is a cognitively complex process, as it requires synthesis of multiple sources of information that are generated during a thorough, evidence-based assessment process and which are moderated by the patient's individual situations, including their social and demographic circumstances, comorbidities, or other health concerns. A growing body of health and medical literature demonstrates that clinical reasoning skills develop with increasing exposure to clinical cases and that the approaches to clinical reasoning differ between novices and experts. It appears that it is not the amount of knowledge held, but the way it is used, that distinguishes a novice from an experienced clinician. In this article, we review the roles of explicit and implicit processing as well as illness scripts in clinical decision making across the continuum of medical expertise and discuss how they relate to the clinical management of swallowing impairment. We also reflect on how this literature may inform educational curricula that support SLP students in developing preclinical reasoning skills that facilitate their transition to early clinical practice. Specifically, we discuss the role of case-based curricula to assist students to develop a meta-cognitive awareness of the different approaches to clinical reasoning, their own capabilities and preferences, and how and when to apply these in dysphagia management practice.

scholarly journals Mobility Trends before and after the Pandemic Outbreak: Analyzing the Metropolitan Area of Barcelona through the Lens of Equality and Sustainability

2021 ◽  
Vol 13 (14) ◽  
pp. 7908
Author(s):  
Lucía Mejía-Dorantes ◽  
Lídia Montero ◽  
Jaume Barceló
Keyword(s):  
Metropolitan Area ◽  
Spatial Arrangement ◽  
Individual Characteristics ◽  
Sources Of Information ◽  
Mobility Patterns ◽  
Multiple Sources ◽  
Temporal Dimension ◽  
Population Groups ◽  
Highly Educated ◽  
Before And After

The spatial arrangement of a metropolis is of utmost importance to carry out daily activities, which are constrained by space and time. Accessibility is not only shaped by the spatial and temporal dimension, but it is also defined by individual characteristics, such as gender, impairments, or socioeconomic characteristics of the citizens living or commuting in this area. This study analyzes mobility trends and patterns in the metropolitan area of Barcelona before and after the COVID-19 pandemic outbreak, with special emphasis on gender and equality. The study draws on multiple sources of information; however, two main datasets are analyzed: two traditional travel surveys from the transport metropolitan area of Barcelona and two coming from smartphone data. The results show that gender plays a relevant role when analyzing mobility patterns, as already highlighted in other studies, but, after the pandemic outbreak, some population groups were more likely to change their mobility patterns, for example, highly educated population groups and those with higher income. This study also highlights that e-activities may shape new mobility patterns and living conditions for some population segments, but some activities cannot be replaced by IT technologies. For all these reasons, city and transport planning should foster sustainable development policies, which will provide the maximum benefit for society.

Sources of Performance Information in the Exercise Setting

1990 ◽  
Vol 12 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Vicki Ebbeck
Keyword(s):  
Goal Setting ◽  
Muscle Development ◽  
Information Sources ◽  
Weight Training ◽  
Function Analysis ◽  
Information Source ◽  
Student Feedback ◽  
Sources Of Information ◽  
Perceived Effort ◽  
Gender Groups

This study examined the sources of information used by adult exercisers to judge performance. Of particular interest was the investigation of gender differences. Subjects, 271 adults (174 males, 97 females) who were enrolled in a university weight training program, completed a questionnaire designed to evaluate the importance of 12 information sources in judging weight training performance: instructor feedback, student feedback, student comparison, changes noticed outside the gym, personal attraction toward the activity, degree of perceived effort exerted in the workout, performance in workout, feedback from others not in the class, goal setting, muscle development, workout improvement over time, and ease in learning new skills. Results revealed a significant discriminant function analysis for gender, with six information sources entering the stepwise procedure: goal setting, student feedback, learning, effort, improvement, and changes noticed outside the gym differentiated the gender groups. Males relied more than females on student feedback as an information source to judge performance. Alternatively, females used effort, goal setting, improvement, and learning as information sources more than males.

Categorization of Information Loss During the Dissemination of Design Ideas

2018 ◽  
Author(s):  
Victoria Zhao ◽  
Conrad S. Tucker
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Information Source ◽  
Information Loss ◽  
Design Solution ◽  
Sources Of Information ◽  
Comprehensive Review ◽  
Engineering Design Process ◽  
Design Idea ◽  
Design Ideas

Information is transferred through a process consisting of an information source, a transmitter, a channel, a receiver and its destination. Unfortunately, during different stages of the engineering design process, there is a risk of a design idea or solution being incorrectly interpreted due to the nonlinearity of engineering design. I.e., there are many ways to communicate a single design idea or solution. This paper provides a comprehensive review and categorization of the possible sources of information loss at different stages of the engineering design process. Next, the authors present an approach that seeks to minimize information loss during certain stages of the engineering design process. The paper i) explores design process and dissemination methods in engineering design; ii) reviews prior work pertaining to these stages of the engineering design process and iii) proposes an information entropy metric that designers can utilize in order to quantify information loss at different stages of the engineering design process. Knowledge gained from this work will aid designers in selecting a suitable dissemination solution needed to effectively achieve a design solution.

scholarly journals COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media

2021 ◽  
Vol 9 ◽  
Author(s):  
Debanjan Banerjee ◽  
K. S. Meena
Keyword(s):  
Public Health ◽  
Social Media ◽  
Critical Role ◽  
Global Public Health ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Health Crisis ◽  
Digital Platforms ◽  
The Impact

The Coronavirus disease 2019 (COVID-19) pandemic has emerged as a significant and global public health crisis. Besides the rising number of cases and fatalities, the outbreak has also affected economies, employment and policies alike. As billions are being isolated at their homes to contain the infection, the uncertainty gives rise to mass hysteria and panic. Amidst this, there has been a hidden epidemic of “information” that makes COVID-19 stand out as a “digital infodemic” from the earlier outbreaks. Repeated and detailed content about the virus, geographical statistics, and multiple sources of information can all lead to chronic stress and confusion at times of crisis. Added to this is the plethora of misinformation, rumor and conspiracy theories circulating every day. With increased digitalization, media penetration has increased with a more significant number of people aiding in the “information pollution.” In this article, we glance at the unique evolution of COVID-19 as an “infodemic” in the hands of social media and the impact it had on its spread and public reaction. We then look at the ways forward in which the role of social media (as well as other digital platforms) can be integrated into social and public health, for a better symbiosis, “digital balance” and pandemic preparedness for the ongoing crisis and the future.

scholarly journals Revisiting Persistent Neuronal Activity During Covert Spatial Attention

2021 ◽  
Vol 15 ◽  
Author(s):  
Julian L. Amengual ◽  
Suliann Ben Hamed
Keyword(s):  
Spatial Attention ◽  
Neural Representation ◽  
Persistent Activity ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Oscillatory Dynamics ◽  
Attention Orienting ◽  
Related Information ◽  
Attention Tasks ◽  
Reduction Methods

Persistent activity has been observed in the prefrontal cortex (PFC), in particular during the delay periods of visual attention tasks. Classical approaches based on the average activity over multiple trials have revealed that such an activity encodes the information about the attentional instruction provided in such tasks. However, single-trial approaches have shown that activity in this area is rather sparse than persistent and highly heterogeneous not only within the trials but also between the different trials. Thus, this observation raised the question of how persistent the actually persistent attention-related prefrontal activity is and how it contributes to spatial attention. In this paper, we review recent evidence of precisely deconstructing the persistence of the neural activity in the PFC in the context of attention orienting. The inclusion of machine-learning methods for decoding the information reveals that attention orienting is a highly dynamic process, possessing intrinsic oscillatory dynamics working at multiple timescales spanning from milliseconds to minutes. Dimensionality reduction methods further show that this persistent activity dynamically incorporates multiple sources of information. This novel framework reflects a high complexity in the neural representation of the attention-related information in the PFC, and how its computational organization predicts behavior.

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