Decision-Making and Behavioral Economics

Context-dependent choice and evaluation in real-world consumer behavior

The paper examines context-dependent choice in real-world settings using restaurant rating data, finding that valuations and choices are influenced by the context of available options.

Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making

The paper extends geometric time-discounting theory to ternary choices and shows magnitude-sensitive reaction times in humans and slime moulds, with geometric discounting as the main explanation.

Choice seeking is motivated by the intrinsic need for personal control

This study shows that humans prefer choices even when they don't affect outcomes, driven by a need for personal control rather than rewards or exploration.

Individual risk attitudes arise from noise in neurocognitive magnitude representations

The paper shows that individual risk aversion in financial decisions stems from noisy perception of numerical magnitudes rather than subjective valuation.

Evidence Accumulates for Individual Attributes during Value-Based Decisions

The paper tests if incorporating individual attribute information into computational models improves their ability to predict value-based decision-making patterns.

Choice-Induced Preference Change under the Value Refinement Framework

The paper extends the drift-diffusion model to account for choice-induced preference change by allowing drift rates to vary during decision-making based on attended attributes.

Intracerebral mechanisms explaining the impact of incidental feedback on mood state and risky choice

The paper investigates how mood fluctuations, influenced by incidental feedback, affect choice behavior through neural activity in the vmPFC and daIns.

Individual Variation in Risky Decisions Is Related to Age and Gender but not to Mental Health Symptoms

This study uses computational modeling to analyze risky decision-making in a general population sample, finding that decision parameters correlate with age and gender but not mental health symptoms.

Motor response vigour and fixations reflect subjective preferences during intertemporal choice

The paper examines how motor response vigour and eye movements correlate with subjective value during intertemporal choice, finding that higher rewards are discounted less and are associated with stronger responses.

Limitations of a proposed correction for slow drifts in decision criterion

The paper evaluates a correction method for slow drifts in decision criterion, showing it fails for common updating strategies and proposes a model-based approach to better disambiguate drifts from systematic updates.

Neuronal origins of biases in economic choices under sequential offers

This study investigates choice biases in economic decisions under sequential offers in rhesus monkeys, identifying distinct neural stages responsible for accuracy, order bias, and preference bias.

Cherry-picking information: humans actively sample evidence to support prior beliefs

The paper shows humans actively seek confirming evidence for their choices, leading to biased decision-making when revising earlier decisions.

Evidence integration and decision-confidence are modulated by stimulus consistency

The paper introduces a method to monitor decision boundaries and identifies a consistency bias in evidence integration that improves decision robustness.

A computational model for individual differences in non-reinforced learning for individual items

The paper develops a Bayesian computational model to predict individual differences in non-reinforced preference changes during Cue-Approach Training.

Using Deep Learning to Predict Human Decisions, and Cognitive Models to Explain Deep Learning Models

This paper trains a deep neural network to predict human decisions in a value-based task and uses cognitive models to explain the model's behavior, revealing task-irrelevant decision patterns.

Control over sampling boosts numerical evidence processing in human decisions from experience

The paper shows that having control over when to stop sampling improves decision accuracy, parietal decision signals, and EEG encoding of numerical information in human decisions from experience.

Asymmetric learning facilitates human inference of transitive relations

The paper shows that asymmetric learning, where beliefs about winners or losers are updated selectively, improves transitive inference in humans and aligns with cognitive distortions observed in psychophysics and behavioral economics.

Trial-wise exposure to visual appetitive cues increases physiological arousal but not temporal discounting.

The paper tests how exposure to appetitive, aversive, and neutral visual cues affects temporal discounting and physiological arousal in humans, finding no significant increase in discounting despite increased arousal.

A neuronal prospect theory model in the brain reward circuitry

This study shows that single-neuron activity in monkeys' reward circuitry reflects prospect theory parameters for risky gambles, with distributed coding across brain regions.

The aversive value of pain in human decision-making

This study examines how the aversive value of pain influences human decision-making in the context of monetary rewards and electric shocks.

Sunk cost sensitivity in mice, rats, and humans on the Restaurant Row and WebSurf tasks cannot be explained by attrition biases alone

The paper tests a model proposing that sunk cost sensitivity in foraging tasks is due to task performance mechanics, finding it incompatible with data and supporting actual sunk cost sensitivity.

Social framing effects in decision making

The paper investigates how the framing of social advice influences decision-making, finding that appetitive framing increases trust and learning compared to aversive framing.

Quantifying the subjective cost of self-control in humans

This paper develops a task to quantify the subjective cost of self-control by measuring how much people are willing to pay to avoid exerting self-control in tempting situations.

Cross-species comparison of human and rodent primary reward consumption under budget constraints

This study compares human and rodent decision-making under budget constraints for different reward types, finding that irrational choices occur with non-food rewards.

Healthy Choice depends on the latency and rate of information accumulation

The paper applies a multi-attribute drift diffusion model to dietary choices, showing how health and taste attributes influence decision-making processes and can be targeted by interventions.

Coherence Shifts in Attribute Evaluations

The paper shows that evaluating options shifts their perceived value and attributes to favor the chosen option, increasing confidence, regardless of whether the choice is explicit or not.

Interpersonal Comparison of Utility by Measuring Neural Activity

This study develops a method to compare interpersonal utility using neural activity, finding that brain signals correlate with expected utility and validate an optimal decision rule for well-being aggregation.

Adaptation to recent outcomes attenuates the lasting effect of initial experience on risky decisions

This study investigates how initial experience influences risky decisions after a change point, finding that recent experiences adjust behavior while initial experience still has an impact.

Neural correlates of individual differences in aversion to risk and choice inconsistency

This study examines brain dynamics related to risk aversion and choice inconsistency using ERP recordings in a financial decision task.

Individuals with ventromedial frontal damage have more unstable but still fundamentally transitive preferences

This study shows that individuals with ventromedial frontal damage make rational, transitive decisions but with greater preference variability, indicating the VMF's role in preference stability rather than rationality.