Give it a second try? The influence of feedback and performance in the decision of reattempting.

Feedback evaluation can affect behavioural continuation or discontinuation, and is essential for cognitive and motor skill learning. One critical factor that influences feedback evaluation is participants' internal estimation of self-performance. Previous research has shown that two event-related potential components, the Feedback-Related Negativity (FRN) and the P3, are related to feedback evaluation. In the present study, we used a time estimation task and EEG recordings to test the influence of feedback and performance on participants' decisions, and the sensitivity of the FRN and P3 components to those factors. In the experiment, participants were asked to reproduce the total duration of an intermittently presented visual stimulus. Feedback was given after every response, and participants had then to decide whether to retry the same trial and try to earn reward points, or to move on to the next trial. Results showed that both performance and feedback influenced participants' decision on whether to retry the ongoing trial. In line with previous studies, the FRN showed larger amplitude in response to negative than to positive feedback. Moreover, our results were also in agreement with previous works showing the relationship between the amplitude of the FRN and the size of feedback-related prediction error (PE), and provide further insight in how PE size influences participants' decisions on whether or not to retry a task. Specifically, we found that the larger the FRN, the more likely participants were to base their decision on their performance - choosing to retry the current trial after good performance or to move on to the next trial after poor performance, regardless of the feedback received. Conversely, the smaller the FRN, the more likely participants were to base their decision on the feedback received.

Flexible use of confidence to guide advice requests.

Subjective confidence plays an important role in guiding behavior, for example, people typically commit to decisions immediately if high in confidence and seek additional information if not. The present study examines whether people are flexible in their use of confidence, such that the mapping between confidence and behavior is not fixed but can instead vary depending on the specific context. To investigate this proposal, we tested the hypothesis that the seemingly natural relationship between low confidence and requesting advice varies according to whether people know, or do not know, the quality of the advice. Participants made an initial perceptual judgement and then chose between re-sampling evidence or receiving advice from a virtual advisor, before committing to a final decision. The results indicated that, when objective information about advisor reliability was not available, participants selected advice more often when their confidence was high rather than when it was low. This pattern reflects the use of confidence as a feedback proxy to learn about advisor quality: Participants were able to learn about the reliability of advice even in the absence of feedback and subsequently requested more advice from better advisors. In contrast, when participants had prior knowledge about the reliability of advisors, they requested advice more often when their confidence was low, reflecting the use of confidence as a self-monitoring tool signaling that help should be solicited. These findings indicate that people use confidence in a way that is context-dependent and directed towards achieving their current goals.

Expressions for Bayesian confidence of drift diffusion observers in fluctuating stimuli tasks.

We introduce a new approach to modelling decision confidence, with the aim of enabling computationally cheap predictions while taking into account, and thereby exploiting, trial-by-trial variability in stochastically fluctuating stimuli. Using the framework of the drift diffusion model of decision making, along with time-dependent thresholds and the idea of a Bayesian confidence readout, we derive expressions for the probability distribution over confidence reports. In line with current models of confidence, the derivations allow for the accumulation of "pipeline" evidence that has been received but not processed by the time of response, the effect of drift rate variability, and metacognitive noise. The expressions are valid for stimuli that change over the course of a trial with normally-distributed fluctuations in the evidence they provide. A number of approximations are made to arrive at the final expressions, and we test all approximations via simulation. The derived expressions contain only a small number of standard functions, and require evaluating only once per trial, making trial-by-trial modelling of confidence data in stochastically fluctuating stimuli tasks more feasible. We conclude by using the expressions to gain insight into the confidence of optimal observers, and empirically observed patterns.

Alpha oscillations and stimulus-evoked activity dissociate metacognitive reports of attention, visibility, and confidence in a rapid visual detection task.

Variability in the detection and discrimination of weak visual stimuli has been linked to oscillatory neural activity. In particular, the amplitude of activity in the alpha-band (8-12 Hz) has been shown to impact the objective likelihood of stimulus detection, as well as measures of subjective visibility, attention, and decision confidence. Here we investigate how preparatory alpha in a cued pretarget interval influences performance and phenomenology, by recording simultaneous subjective measures of attention and confidence (experiment 1) or attention and visibility (experiment 2) on a trial-by-trial basis in a visual detection task. Across both experiments, alpha amplitude was negatively and linearly correlated with the intensity of subjective attention. In contrast with this linear relationship, we observed a quadratic relationship between the strength of alpha oscillations and subjective ratings of confidence and visibility. We find that this same quadratic relationship links alpha amplitude with the strength of stimulus-evoked responses. Visibility and confidence judgments also corresponded with the strength of evoked responses, but confidence, uniquely, incorporated information about attentional state. As such, our findings reveal distinct psychological and neural correlates of metacognitive judgments of attentional state, stimulus visibility, and decision confidence when these judgments are preceded by a cued target interval.

Coproducing a library of videos to support families caring for children with gastrostomies: A mixed-methods evaluation with family carers and clinicians.

INTRODUCTION: Many families now perform specialist medical procedures at home. Families need appropriate training and support to do this. The aim of this study was to evaluate a library of videos, coproduced with parents and healthcare professionals, to support and educate families caring for a child with a gastrostomy. METHODS: A mixed-methods online survey evaluating the videos was completed by 43 family carers who care for children with gastrostomies and 33 healthcare professionals (community-based nurses [n = 16], paediatricians [n = 6], dieticians [n = 6], hospital-based nurses [n = 4], paediatric surgeon [n = 1]) from the United Kingdom. Participants watched a sample of videos, rated statements on the videos and reflected on how the videos could be best used in practice. RESULTS: Both family carers and healthcare professionals perceived the video library as a valuable resource for parents and strongly supported the use of videos in practice. All healthcare professionals and 98% (n = 42) of family carers agreed they would recommend the videos to other families. Family carers found the videos empowering and easy to follow and valued the mixture of healthcare professionals and families featured in the videos. Participants gave clear recommendations for how different video topics should fit within the existing patient pathway. DISCUSSION: Families and healthcare professionals perceived the videos to be an extremely useful resource for parents, supporting them practically and emotionally. Similar coproduced educational materials are needed to support families who perform other medical procedures at home. PATIENT OR PUBLIC CONTRIBUTION: Two parent representatives attended the research meetings from conception of the project and were involved in the design, conduct and dissemination of the surveys. The videos themselves were coproduced with several different families.

Confidence, advice seeking and changes of mind in decision making.

Humans and other animals rely on social learning strategies to guide their behaviour, especially when the task is difficult and individual learning might be costly or ineffective. Recent models of individual and group decision-making suggest that subjective confidence judgments are a prime candidate in guiding the way people seek and integrate information from social sources. The present study investigates the way people choose and use advice as a function of the confidence in their decisions, using a perceptual decision task to carefully control the quality of participants' decisions and the advice provided. The results show that reported confidence guides the search for new information in accordance with probabilistic normative models. Moreover, large inter-individual differences were found, which strongly correlated with more traditional measures of metacognition. However, the extent to which participants used the advice they received deviated from what would be expected under a Bayesian update of confidence, and instead was characterised by heuristic-like strategies of categorically ignoring vs. accepting advice provided, again with substantial individual differences apparent in the relative dominance of these strategies.

Response-based outcome predictions and confidence regulate feedback processing and learning.

Influential theories emphasize the importance of predictions in learning: we learn from feedback to the extent that it is surprising, and thus conveys new information. Here, we explore the hypothesis that surprise depends not only on comparing current events to past experience, but also on online evaluation of performance via internal monitoring. Specifically, we propose that people leverage insights from response-based performance monitoring - outcome predictions and confidence - to control learning from feedback. In line with predictions from a Bayesian inference model, we find that people who are better at calibrating their confidence to the precision of their outcome predictions learn more quickly. Further in line with our proposal, EEG signatures of feedback processing are sensitive to the accuracy of, and confidence in, post-response outcome predictions. Taken together, our results suggest that online predictions and confidence serve to calibrate neural error signals to improve the efficiency of learning.

The effects of recursive communication dynamics on belief updating.

Many social interactions are characterized by dynamic interplay, such that individuals exert reciprocal influence over each other's behaviours and beliefs. The present study investigated how the dynamics of reciprocal influence affect individual beliefs in a social context, over and above the information communicated in an interaction. To this end, we developed a simple social decision-making paradigm in which two people are asked to make perceptual judgments while receiving information about each other's decisions. In a Static condition, information about the partner only conveyed their initial, independent judgment. However, in a Dynamic condition, each individual saw the evolving belief of their partner as they learnt about and responded to the individual's own judgment. The results indicated that in both conditions, the majority of confidence adjustments were characterized by an abrupt change followed by smaller adjustments around an equilibrium, and that participants' confidence was used to arbitrate conflict (although deviating from Bayesian norm). Crucially, recursive interaction had systematic effects on belief change relative to the static baseline, magnifying confidence change when partners agreed and reducing confidence change when they disagreed. These findings indicate that during dynamic interactions-often a characteristic of real-life and online social contexts-information is collectively transformed rather than acted upon by individuals in isolation. Consequently, the output of social events is not only influenced by what the dyad knows but also by predictable recursive and self-reinforcing dynamics.

Subjective confidence acts as an internal cost-benefit factor when choosing between tasks.

Upon making a decision, we typically have a sense of the likelihood that the decision we reached was a good one; that is, a degree of confidence in our choice. In a series of five experiments, we tested the hypothesis that confidence acts as an intrinsic cost-benefit factor when choosing between tasks, biasing people toward situations in which they experience higher confidence. Participants performed a task-selection paradigm in which they chose on each trial between two perceptual-judgment tasks that were matched for objective difficulty but differed in participants' experienced confidence, with confidence manipulated via differences in the strength of postdecisional evidence. The results show that participants exhibited a preference for tasks in which they reported higher confidence. The effect of confidence on task selection went above and beyond simple error detection, with people not only avoiding tasks in which they believed they made an error, but also tending to select tasks in which they experienced higher confidence in their correct responses. Moreover, preference for high-confidence tasks was evident even when external feedback was provided on every trial. Collectively, these results indicate that subjective confidence guides choices of which situations and tasks to engage with, as a valuable indicator of likely success. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Dissociating expectancy-based and experience-based control in task switching.

The ability to switch tasks flexibly plays a critical role in goal-directed behavior. The present study tested the hypothesis that task switching is subject to higher-level "metacontrol" regulation that is reflected, for example, in contextual influences on switching efficiency, such as the global probability of task switches. This hypothesis was tested in 5 experiments using an instruction manipulation to dissociate expectancy-based control from experience-based practice effects: Participants' beliefs about switch probability were manipulated across trial sequences via explicit instruction, while objective frequency was matched for a subset of sequences. The behavioral results of Experiments 1-3 indicated that instruction played a role above experience in modulating task switching efficiency, and that this effect was motivation-dependent. Experiment 4 used electroencephalogram (EEG) methods to characterize the mechanism by which instructions affected processing via established event-related potential and oscillatory markers of task preparation. Experiment 5 demonstrated that the influence of instructions extended to participants' voluntary task choices. Collectively, the present findings demonstrate that instruction-induced expectancy prompts the adoption of distinct metacontrol modes across sequences, but does not modulate trial-by-trial, task-specific motor preparation. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

FAST: A Novel, Executive Function-Based Approach to Cognitive Enhancement.

The present study introduces a novel cognitive intervention aimed at improving fluid intelligence (Gf), based on a framework we refer to as FAST: Flexible, Adaptive, Synergistic Training. FAST leverages a combination of novel game-based executive function (EF) training-designed specifically to enhance the likelihood of transfer-and transcranial electrical stimulation (tES), with aims to synergistically activate and strengthen mechanisms of cognitive control critical to Gf. To test our intervention, we collected three Gf measures from 113 participants [the advanced short Bochumer Matrizen-Test (BOMAT), Raven's Advanced Progressive Matrices (APM), and matrices similar to Raven's generated by Sandia labs], prior to and following one of three interventions: (1) the FAST + tRNS intervention, a combination of 30 min of daily training with our novel training game, Robot Factory, and 20 min of concurrent transcranial random noise stimulation applied to bilateral dorsolateral prefrontal cortex (DLPFC); (2) an adaptively difficult Active Control intervention comprised of visuospatial tasks that specifically do not target Gf; or (3) a no-contact control condition. Analyses of changes in a Gf factor from pre- to post-test found numerical increases for the FAST + tRNS group compared to the two control conditions, with a 0.3 SD increase relative to Active Control (p = 0.07), and a 0.19 SD increase relative to a No-contact control condition (p = 0.26). This increase was found to be largely driven by significant differences in pre- and post-test Gf as measured on the BOMAT test. Progression through the FAST training game (Robot Factory) was significantly correlated with changes in Gf. This is in contrast with progress in the Active Control condition, as well as with changes in individual EFs during FAST training, which did not significantly correlate with changes in Gf. Taken together, this research represents a useful step forward in providing new insights into, and new methods for studying, the nature of Gf and its malleability. Though our results await replication and extension, they provide preliminary evidence that the crucial characteristic of Gf may, in fact, be the ability to combine EFs rapidly and adaptively according to changing demand, and that Gf may be susceptible to targeted training.

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

Decisions are usually accompanied by a feeling of being wrong or right - a subjective confidence estimate. But what information is this confidence estimate based on, and what is confidence used for? To answer these questions, research has largely focused on confidence regarding current or past decisions, for example identifying how characteristics of the stimulus affect confidence, how confidence can be used as an internally generated feedback signal, and how communicating confidence can affect group decisions. Here, we report two studies which implemented a novel metacognitive measure: predictions of confidence for future perceptual decisions. Using computational modeling of behaviour and EEG, we established that experience-based confidence predictions are one source of information that affects how confident we are in future decision-making, and that learned confidence-expectations affect neural preparation for future decisions. Results from both studies show that participants develop precise confidence predictions informed by past confidence experience. Notably, our results also show that confidence predictions affect performance confidence rated after a decision is made; this finding supports the proposal that confidence judgments are based on multiple sources of information, including expectations. We found strong support for this 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.

A Postdecisional Neural Marker of Confidence Predicts Information-Seeking in Decision-Making.

Theoretical work predicts that decisions made with low confidence should lead to increased information-seeking. This is an adaptive strategy because it can increase the quality of a decision, and previous behavioral work has shown that decision-makers engage in such confidence-driven information-seeking. The present study aimed to characterize the neural markers that mediate the relationship between confidence and information-seeking. A paradigm was used in which 17 human participants (9 male) made an initial perceptual decision, and then decided whether or not they wanted to sample more evidence before committing to a final decision and confidence judgment. Predecisional and postdecisional event-related potential components were similarly modulated by the level of confidence and by information-seeking choices. Time-resolved multivariate decoding of scalp EEG signals first revealed that both information-seeking choices and decision confidence could be decoded from the time of the initial decision to the time of the subsequent information-seeking choice (within-condition decoding). No above-chance decoding was visible in the preresponse time window. Crucially, a classifier trained to decode high versus low confidence predicted information-seeking choices after the initial perceptual decision (across-condition decoding). This time window corresponds to that of a postdecisional neural marker of confidence. Collectively, our findings demonstrate, for the first time, that neural indices of confidence are functionally involved in information-seeking decisions.SIGNIFICANCE STATEMENT Despite substantial current interest in neural signatures of our sense of confidence, it remains largely unknown how confidence is used to regulate behavior. Here, we devised a task in which human participants could decide whether or not to sample additional decision-relevant information at a small monetary cost. Using neural recordings, we could predict such information-seeking choices based on a neural signature of decision confidence. Our study illuminates a neural link between decision confidence and adaptive behavioral control.

Dynamic sources of evidence supporting confidence judgments and error detection.

Our decisions are accompanied by a subjective sense of confidence about whether the choices we have made are correct or erroneous. We investigate the information on which these confidence judgments are based, and how they relate to the decision itself, by studying how fluctuations in perceptual information influence decisions and second-order metacognitive evaluations of confidence and accuracy. Human participants judged which of two dynamically changing stimuli contained more dots, under instructions emphasizing either speed or accuracy. Crucially, stimuli remained visible for one second after the decision, before participants rated their confidence in their choice. We found that confidence and error detection depended on the balance of stimulus evidence accumulated in the periods both preceding and following the initial decision, regardless of whether instructions emphasized speed or accuracy. These findings suggest a shared computational basis for error detection and confidence judgments, with implications for current models of metacognitive evaluation of decision processes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Electrical stimulation of alpha oscillations stabilizes performance on visual attention tasks.

Neural oscillations in the alpha band (7-13 Hz) have long been associated with reductions in attention. However, recent studies have suggested a more nuanced perspective in which alpha oscillations also facilitate processes of cognitive control and perceptual stability. Transcranial alternating current stimulation (tACS) over occipitoparietal cortex at 10 Hz (alpha-tACS) can selectively enhance EEG alpha power. To assess the contribution of alpha oscillations to attention, we delivered alpha-tACS across 4 experiments while 178 participants performed sustained attention tasks. Poor performance on all visual tasks was previously associated with increased EEG alpha power. We therefore predicted initially that alpha-tACS would consistently impair visual task performance. However, alpha-tACS was instead found to prevent deteriorations in visual performance that otherwise occurred during sham- and 50 Hz-tACS. This finding was observed in 2 experiments, using different sustained attention tasks. In a separate experiment, we also found that alpha-tACS limited improvements on a visual task where learning was otherwise observed. Consequently, alpha-tACS appeared to exert a consistently stabilizing effect on visual attention. Such effects were not seen in an auditory control task, indicating specificity to the visual domain. We suggest that these results are most consistent with the view that alpha oscillations facilitate processes of top-down control and attentional stability. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Subjective Confidence Predicts Information Seeking in Decision Making.

There is currently little direct evidence regarding the function of subjective confidence in decision making: The tight correlation between objective accuracy and subjective confidence makes it difficult to distinguish each variable's unique contribution. Here, we created conditions in a perceptual decision task that were matched in accuracy but differed in subjective evaluation of accuracy by orthogonally varying the strength versus variability of evidence. Confidence was reduced with variable (vs. weak) evidence, even across conditions matched for difficulty. Building on this dissociation, we constructed a paradigm in which participants ( N = 20) could choose to seek further information before making their decision. The data provided clear support for the hypothesis that subjective confidence predicts information seeking in decision making: Participants were more likely to sample additional information before giving a response in the condition with low confidence, despite matched accuracy. In a preregistered replication ( N = 50), these findings were replicated with increased task difficulty levels.

Modulating fluid intelligence performance through combined cognitive training and brain stimulation.

It is debated whether cognitive training of specific executive functions leads to far transfer effects, such as improvements in fluid intelligence (Gf). Within this context, transcranial direct current stimulation and recently also novel protocols such as transcranial random noise and alternating current stimulation are being investigated with regards to their ability to enhance cognitive training outcomes. We compared the effects of four different transcranial electrical brain stimulation protocols in combination with nine daily computerized training sessions on Gf. 82 participants were randomly assigned to receive transcranial direct current stimulation (tDCS), random noise stimulation (tRNS), multifocal alternating current stimulation at 40 Hz (mftACS), or multifocal tDCS (mftDCS) in combination with an adaptive and synergistic executive function (EF) training, or to a no-contact control group. EF training consisted of gamified tasks drawing on isolated as well as integrated executive functions (working memory, inhibition, cognitive flexibility). Transfer was assessed with a combined measure of Gf including three established tests (Bochumer Matrizentest - BOMAT, Raven's Advanced Progressive Matrices - RAPM, and Sandia Matrices). We found significant improvements in Gf for the tDCS, mftDCS, and tRNS groups when compared with the no-contact group. In contrast, the mftACS group did not improve significantly and showed a similar pattern as the no-contact group. Mediation analyses indicated that the improvement in Gf was mediated through game progression in the mftDCS and tRNS group. Electrical brain stimulation in combination with sustained EF training can lead to transfer effects in Gf, which are mediated by training progression.

The Effects of 10 Hz Transcranial Alternating Current Stimulation on Audiovisual Task Switching.

Neural oscillations in the alpha band (7-13 Hz) are commonly associated with disengagement of visual attention. However, recent studies have also associated alpha with processes of attentional control and stability. We addressed this issue in previous experiments by delivering transcranial alternating current stimulation at 10 Hz over posterior cortex during visual tasks (alpha tACS). As this stimulation can induce reliable increases in EEG alpha power, and given that performance on each of our visual tasks was negatively associated with alpha power, we assumed that alpha tACS would reliably impair visual performance. However, alpha tACS was instead found to prevent both deteriorations and improvements in visual performance that otherwise occurred during sham & 50 Hz tACS. Alpha tACS therefore appeared to exert a stabilizing effect on visual attention. This hypothesis was tested in the current, pre-registered experiment by delivering alpha tACS during a task that required rapid switching of attention between motion, color, and auditory subtasks. We assumed that, if alpha tACS stabilizes visual attention, this stimulation should make it harder for people to switch between visual tasks, but should have little influence on transitions between auditory and visual subtasks. However, in contrast to this prediction, we observed no evidence of impairments in visuovisual vs. audiovisual switching during alpha vs. control tACS. Instead, we observed a trend-level reduction in visuoauditory switching accuracy during alpha tACS. Post-hoc analyses showed no effects of alpha tACS in response time variability, diffusion model parameters, or on performance of repeat trials. EEG analyses also showed no effects of alpha tACS on endogenous or stimulus-evoked alpha power. We discuss possible explanations for these results, as well as their broader implications for current efforts to study the roles of neural oscillations in cognition using tACS.

The many characters of visual alpha oscillations.

A central feature of human brain activity is the alpha rhythm: a 7-13 Hz oscillation observed most notably over occipitoparietal brain regions during periods of eyes-closed rest. Alpha oscillations covary with changes in visual processing and have been associated with a broad range of neurocognitive functions. In this article, we review these associations and suggest that alpha oscillations can be thought to exhibit at least five distinct 'characters': those of the inhibitor, perceiver, predictor, communicator and stabiliser. In short, while alpha oscillations are strongly associated with reductions in visual attention, they also appear to play important roles in regulating the timing and temporal resolution of perception. Furthermore, alpha oscillations are strongly associated with top-down control and may facilitate transmission of predictions to visual cortex. This is in addition to promoting communication between frontal and posterior brain regions more generally, as well as maintaining ongoing perceptual states. We discuss why alpha oscillations might associate with such a broad range of cognitive functions and suggest ways in which these diverse associations can be studied experimentally.