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The Journal of Neuroscience : the... Oct 2022Efforts to explain complex human decisions have focused on competing theories emphasizing utility and narrative mechanisms. These are difficult to distinguish using...
Efforts to explain complex human decisions have focused on competing theories emphasizing utility and narrative mechanisms. These are difficult to distinguish using behavior alone. Both narrative and utility theories have been proposed to explain juror decisions, which are among the most consequential complex decisions made in a modern society. Here, we asked jury-eligible male and female subjects to rate the strength of a series of criminal cases while recording the resulting patterns of brain activation. We compared patterns of brain activation associated with evidence accumulation to patterns of brain activation derived from a large neuroimaging database to look for signatures of the cognitive processes associated with different models of juror decision-making. Evidence accumulation correlated with multiple narrative processes, including reading and recall. Of the cognitive processes traditionally viewed as components of utility, activation patterns associated with uncertainty, but not value, were more active with stronger evidence. Independent of utility and narrative, activations linked to reasoning and relational logic also correlated with increasing evidence. Hierarchical modeling of cognitive processes associated with evidence accumulation supported a more prominent role for narrative in weighing evidence in complex decisions. However, utility processes were also associated with evidence accumulation. These complementary findings support an emerging view that integrates utility and narrative processes in complex decisions. The last decade has seen a sharply increased interest in narrative as a central cognitive process in human decision-making and as an important factor in the evolution of human societies. However, the roles of narrative versus utility models of decision-making remain hotly debated. While available models frequently produce similar behavioral predictions, they rely on different cognitive processes and so their roles can be separated using the right neural tests. Here, we use brain imaging during mock juror decisions to show that cognitive processes associated with narrative, and to a lesser extent utility, were engaged while subjects evaluated evidence. These results are consistent with interactions between narrative and utility processes during complex decision-making.
Topics: Humans; Male; Female; Decision Making; Uncertainty; Brain; Problem Solving; Mental Recall
PubMed: 36658459
DOI: 10.1523/JNEUROSCI.2434-21.2022 -
PLoS Biology Jun 2018Regret can be defined as the subjective experience of recognizing that one has made a mistake and that a better alternative could have been selected. The experience of...
Regret can be defined as the subjective experience of recognizing that one has made a mistake and that a better alternative could have been selected. The experience of regret is thought to carry negative utility. This typically takes two distinct forms: augmenting immediate postregret valuations to make up for losses, and augmenting long-term changes in decision-making strategies to avoid future instances of regret altogether. While the short-term changes in valuation have been studied in human psychology, economics, neuroscience, and even recently in nonhuman-primate and rodent neurophysiology, the latter long-term process has received far less attention, with no reports of regret avoidance in nonhuman decision-making paradigms. We trained 31 mice in a novel variant of the Restaurant Row economic decision-making task, in which mice make decisions of whether to spend time from a limited budget to achieve food rewards of varying costs (delays). Importantly, we tested mice longitudinally for 70 consecutive days, during which the task provided their only source of food. Thus, decision strategies were interdependent across both trials and days. We separated principal commitment decisions from secondary reevaluation decisions across space and time and found evidence for regret-like behaviors following change-of-mind decisions that corrected prior economically disadvantageous choices. Immediately following change-of-mind events, subsequent decisions appeared to make up for lost effort by altering willingness to wait, decision speed, and pellet consumption speed, consistent with past reports of regret in rodents. As mice were exposed to an increasingly reward-scarce environment, we found they adapted and refined distinct economic decision-making strategies over the course of weeks to maximize reinforcement rate. However, we also found that even without changes in reinforcement rate, mice transitioned from an early strategy rooted in foraging to a strategy rooted in deliberation and planning that prevented future regret-inducing change-of-mind episodes from occurring. These data suggest that mice are learning to avoid future regret, independent of and separate from reinforcement rate maximization.
Topics: Animals; Avoidance Learning; Behavior, Animal; Choice Behavior; Decision Making; Emotions; Humans; Learning; Male; Mice; Mice, Inbred C57BL; Models, Animal; Models, Psychological; Reinforcement, Psychology; Reward
PubMed: 29927938
DOI: 10.1371/journal.pbio.2005853 -
International Journal of Older People... Jan 2023Transitions to long-term care are challenging for individuals and often associated with a loss of autonomy. Positive experiences are noted, especially when decisions... (Review)
Review
BACKGROUND
Transitions to long-term care are challenging for individuals and often associated with a loss of autonomy. Positive experiences are noted, especially when decisions involve the individual in a person-centred way which are respectful of the person's human rights. One approach which facilitates self-determination during a transitional period is shared decision-making, but there is a lack of clarity on the nature and extent of research evidence in this area.
OBJECTIVE
The purpose of this scoping review is to identify and document research related to shared decision-making and transitioning to long-term care.
METHODS
A comprehensive search in CINAHL, Medline and Psych-info identified papers which included evidence of shared decision-making during transitions to a long-term care setting. The review following the JBI and PAGER framework for scoping reviews. Data were extracted, charted and analysed according to patterns, advances, gaps, research recommendations and evidence for practice.
RESULTS
Eighteen papers met the inclusion criteria. A body of knowledge was identified encompassing the pattern advancements in shared decision-making during transitions to long-term care, representing developments in both the evidence base and methodological approaches. Further patterns offer evidence of the facilitators and barriers experienced by the person, their families and the professional's involved.
CONCLUSIONS
The evidence identified the complexity of such decision-making with efforts to engage in shared decision-making often constrained by the availability of resources, the skills of professionals and time. The findings recognise the need for partnership and person-centred approaches to optimise transitions. The review demonstrates evidence of approaches that can inform future practice and research to support all adult populations who may be faced with a transitional decision to actively participate in decision-making.
Topics: Humans; Long-Term Care; Decision Making, Shared; Decision Making
PubMed: 36480119
DOI: 10.1111/opn.12518 -
ELife Feb 2023Perceptual decisions are biased toward higher-value options when overall gains can be improved. When stimuli demand immediate reactions, the neurophysiological decision...
Perceptual decisions are biased toward higher-value options when overall gains can be improved. When stimuli demand immediate reactions, the neurophysiological decision process dynamically evolves through distinct phases of growing anticipation, detection, and discrimination, but how value biases are exerted through these phases remains unknown. Here, by parsing motor preparation dynamics in human electrophysiology, we uncovered a multiphasic pattern of countervailing biases operating in speeded decisions. Anticipatory preparation of higher-value actions began earlier, conferring a 'starting point' advantage at stimulus onset, but the delayed preparation of lower-value actions was steeper, conferring a value-opposed buildup-rate bias. This, in turn, was countered by a transient deflection toward the higher-value action evoked by stimulus detection. A neurally-constrained process model featuring anticipatory urgency, biased detection, and accumulation of growing stimulus-discriminating evidence, successfully captured both behavior and motor preparation dynamics. Thus, an intricate interplay of distinct biasing mechanisms serves to prioritise time-constrained perceptual decisions.
Topics: Humans; Decision Making; Reaction Time; Choice Behavior; Bias
PubMed: 36779966
DOI: 10.7554/eLife.67711 -
Proceedings of the National Academy of... Apr 2022In probabilistic and nonstationary environments, individuals must use internal and external cues to flexibly make decisions that lead to desirable outcomes. To gain...
In probabilistic and nonstationary environments, individuals must use internal and external cues to flexibly make decisions that lead to desirable outcomes. To gain insight into the process by which animals choose between actions, we trained mice in a task with time-varying reward probabilities. In our implementation of such a two-armed bandit task, thirsty mice use information about recent action and action–outcome histories to choose between two ports that deliver water probabilistically. Here we comprehensively modeled choice behavior in this task, including the trial-to-trial changes in port selection, i.e., action switching behavior. We find that mouse behavior is, at times, deterministic and, at others, apparently stochastic. The behavior deviates from that of a theoretically optimal agent performing Bayesian inference in a hidden Markov model (HMM). We formulate a set of models based on logistic regression, reinforcement learning, and sticky Bayesian inference that we demonstrate are mathematically equivalent and that accurately describe mouse behavior. The switching behavior of mice in the task is captured in each model by a stochastic action policy, a history-dependent representation of action value, and a tendency to repeat actions despite incoming evidence. The models parsimoniously capture behavior across different environmental conditionals by varying the stickiness parameter, and like the mice, they achieve nearly maximal reward rates. These results indicate that mouse behavior reaches near-maximal performance with reduced action switching and can be described by a set of equivalent models with a small number of relatively fixed parameters.
Topics: Animals; Choice Behavior; Decision Making; Mice; Reward; Uncertainty
PubMed: 35385355
DOI: 10.1073/pnas.2113961119 -
International Journal of Environmental... Feb 2023Previous studies have explored the effects of time poverty and money worship on intertemporal decision making based on a resource scarcity perspective. However, how the...
Previous studies have explored the effects of time poverty and money worship on intertemporal decision making based on a resource scarcity perspective. However, how the pace of life affects intertemporal decision making has not been examined. Furthermore, manipulating time perceptions can influence intertemporal decision-making preferences. Based on the perspective of time perception differences, it remains unknown how views of time or temporal focus affect the intertemporal decision making of individuals with different pace of life. To address these issues, study 1 adopted a correlational study to initially explore the relationship between the pace of life and intertemporal decision making. Studies 2 and 3 used manipulation experiments to examine the effects of the pace of life and view of time and temporal focus and pace of life on intertemporal decision making. The results suggest that the faster the life pace, the more recent rewards are preferred. Views of time and temporal focus manipulations can influence the intertemporal decision making of faster-paced individuals, making them prefer smaller-sooner (SS) payoffs under a linear view of time or future temporal focus and larger-later (LL) payoffs under a circular view of time or past temporal focus. However, the manipulation does not affect the intertemporal decision of slower-paced individuals. Our study examined the effect of the pace of life on intertemporal decision making based on a resource scarcity perspective, and found boundary conditions for the influence of the view of time and temporal focus on intertemporal decision making based on the perspective of differences in people's perception of time.
Topics: Humans; Delay Discounting; Decision Making; Reward; Time; Time Perception
PubMed: 36901309
DOI: 10.3390/ijerph20054301 -
Philosophical Transactions of the Royal... Mar 2021The experimental investigation of decision-making in humans relies on two distinct types of paradigms, involving either description- or experience-based choices. In... (Review)
Review
The experimental investigation of decision-making in humans relies on two distinct types of paradigms, involving either description- or experience-based choices. In description-based paradigms, decision variables (i.e. payoffs and probabilities) are explicitly communicated by means of symbols. In experience-based paradigms decision variables are learnt from trial-by-trial feedback. In the decision-making literature, 'description-experience gap' refers to the fact that different biases are observed in the two experimental paradigms. Remarkably, well-documented biases of description-based choices, such as under-weighting of rare events and loss aversion, do not apply to experience-based decisions. Here, we argue that the description-experience gap represents a major challenge, not only to current decision theories, but also to the neuroeconomics research framework, which relies heavily on the translation of neurophysiological findings between human and non-human primate research. In fact, most non-human primate neurophysiological research relies on behavioural designs that share features of both description- and experience-based choices. As a consequence, it is unclear whether the neural mechanisms built from non-human primate electrophysiology should be linked to description-based or experience-based decision-making processes. The picture is further complicated by additional methodological gaps between human and non-human primate neuroscience research. After analysing these methodological challenges, we conclude proposing new lines of research to address them. This article is part of the theme issue 'Existence and prevalence of economic behaviours among non-human primates'.
Topics: Animals; Choice Behavior; Decision Making; Primates; Uncertainty
PubMed: 33423626
DOI: 10.1098/rstb.2019.0665 -
Vision Research Oct 2022Much of human activity involves perceptual or perceptuo-motor choice between options with uncertain outcomes. Previous research suggests that decisions in these contexts...
Much of human activity involves perceptual or perceptuo-motor choice between options with uncertain outcomes. Previous research suggests that decisions in these contexts can be near-optimal in some circumstances but can also be significantly biased. Here we investigate how biases might depend on: i) discriminability of available choice outcomes, adjusted by manipulating the Expected Value (EV) function curvature; ii) outcome valence, which changes the tendency for risk seeking/aversive behaviour in cognitive decision making. In three experiments, participants set the size of a catcher in order to catch a dot moving on a random walk (with varying levels of predictability) after it emerged from behind an occluder. Catching and missing the dot were associated with scoring a variable number of outcome points depending on catcher size. In experiment 1 outcomes were most discriminable (high EV curvature) and catcher size settings were near-optimal. In experiments 2 and 3 outcomes were harder to discriminate (low EV curvature) and there was a significant bias to set the catcher size too small. Unlike cognitive decision making, the valence manipulation had little effect. Subsequent analyses suggest observed biases might reflect participants moving settings towards the region with highest EV curvature, where feedback is most informative. These data suggest that: i) unlike cognitive decisions, in this task choices are largely insensitive to outcome valence; ii) EV curvature is potentially an important factor when interpreting performance in such tasks; iii) Choice may be biased towards high EV curvature regions, consistent with value being placed on exploration to increase information return.
Topics: Bias; Choice Behavior; Decision Making; Humans; Uncertainty
PubMed: 35633598
DOI: 10.1016/j.visres.2022.108073 -
Japan Journal of Nursing Science : JJNS Oct 2020Shared decision making for adults with severe mental illness has increasingly attracted attention. However, this concept has not been comprehensively clarified. This... (Review)
Review
AIM
Shared decision making for adults with severe mental illness has increasingly attracted attention. However, this concept has not been comprehensively clarified. This review aimed to clarify a concept of shared decision making for adults with severe mental illness such as schizophrenia, depression, and bipolar disorder, and propose an adequate definition.
METHODS
Rodgers' evolutionary concept analysis was used. MEDLINE, PsychINFO, and CINAHL were searched for articles written in English and published between 2010 and November 2019. The search terms were "psychiatr*" or "mental" or "schizophren*" or "depression" or "bipolar disorder", combined with "shared decision making". In total, 70 articles met the inclusion criteria. An inductive approach was used to identify themes and sub-themes related to shared decision making for adults with severe mental illness. Surrogate terms and a definition of the concept were also described.
RESULTS
Four key attributes were identified: user-professional relationship, communication process, user-friendly visualization, and broader stakeholder approach. Communication process was the densest attribute, which consisted of five phases: goal sharing, information sharing, deliberation, mutual agreement, and follow-up. The antecedents as prominent predisposing factors were long-term complex illness, power imbalance, global trend, users' desire, concerns, and stigma. The consequences included decision-related outcomes, users' changes, professionals' changes, and enhanced relationship.
CONCLUSIONS
Shared decision making for adults with severe mental illness is a communication process, involving both user-friendly visualization techniques and broader stakeholders. The process may overcome traditional power imbalance and encourage changes among both users and professionals that could enhance the dyadic relationship.
Topics: Adult; Communication; Decision Making; Decision Making, Shared; Humans; Schizophrenia
PubMed: 32761783
DOI: 10.1111/jjns.12365 -
BMJ Evidence-based Medicine Aug 2023
Topics: Humans; Decision Making, Shared; Decision Making; Physician-Patient Relations
PubMed: 36522136
DOI: 10.1136/bmjebm-2022-112089