Learning the lie of the land: How people construct mental representations of distributions.

An unexamined assumption in many studies of learning and decision making is that people learn underlying probability distributions. However, the acquisition of distributional knowledge is rarely the focus of investigations. We report five experiments ( = 580 adults) that provide this focus and highlight the factors that impact people's ability to accurately learn and reproduce underlying distributions.

Risk, time, and psychological distance: Does construal level theory capture the impact of delay on risk preference?

Do people change their preferences when they are offered the same risky lotteries at different times (now vs. the future)? Construal level theory (CLT) suggests that people do because our mental representation of events is moderated by how near or distant such events are in time. According to CLT, in the domain of risk preferences, psychological distance causes payoffs and probabilities to be differentially weighted or attended between present and future timepoints: Temporal distance increases the influence of payoffs and decreases the influence of probabilities.

Too hard, too easy, or just right? The effects of context on effort and boredom aversion.

Despite people's general desire to avoid cognitive effort, there is a limit to our parsimony: boredom, a state defined by a lack of successful mental engagement, is found to be similarly aversive. The work presented here investigates how context - the alternative tasks present and the environmental context - impacts people's aversion to exerting cognitive effort and avoiding boredom via a demand-selection task. In a population of undergraduate students, we assessed how people's willingness to exert mental effort (in a working memory task) is affected by the presence of an easier alternative (less cognitively demanding) or a boring alternative (doing nothing at all).

The effect of noninstrumental information on reward learning.

Investigations of information-seeking often highlight people's tendency to forgo financial reward in return for advance information about future outcomes. Most of these experiments use tasks in which reward contingencies are described to participants. The use of such descriptions leaves open the question of whether the opportunity to obtain such noninstrumental information influences people's ability to learn and represent the underlying reward structure of an experimental environment.

Designing an Informatics Infrastructure for a National Aged Care Medication Roundtable.

In the residential aged care sector medication management has been identified as a major area of concern contributing to poor outcomes and quality of life for residents. Monitoring medication management in residential aged care in Australia has been highly reliant on small, internal audits. The introduction of electronic medication administration systems provides new opportunities to establish improved methods for ongoing, timely and efficient monitoring of a range of medication indicators, made more meaningful by linking medication data with resident characteristics and outcomes.

Expectations, opportunities, and awareness: A case for combining i- and s-frame interventions.

We argue that: (1) disappointment in the effectiveness of i-frame interventions depends on realistic expectations about how they work; (2) opportunities for system reform are rare, and i-frame interventions can lay important groundwork; (3) Chater & Loewenstein's evidence that i-frame interventions from s-frame approaches is limited; and (4) nonetheless, behavioural scientists should consider what more they can contribute to systemic reforms.

Mathematical modelling of microneedle-mediated transdermal delivery of drug nanocarriers into skin tissue and circulatory system.

Microneedle-mediated transdermal delivery using nanocarriers can successfully overcome the barrier of the stratum corneum and protect drugs from elimination in skin tissues. However, the effectiveness of drug delivery to different layers of skin tissues and the circulatory system varies considerably, subject to the properties of the drug delivery system and delivery regime. How to maximise delivery outcomes remains unclear.

Is Conviction Narrative Theory a theory of everything or nothing?

We connect Conviction Narrative Theory to an account that views people as intuitive scientists who can flexibly create, evaluate, and modify representations of decision problems. We argue that without understanding how the relevant complex narratives (or indeed any representation, simple to complex) are themselves constructed, we also cannot know when and why people would rely on them to make choices.

Behavioural change interventions encouraging clinicians to reduce carbon emissions in clinical activity: a systematic review.

Background: Clinical activity accounts for 70-80% of the carbon footprint of healthcare. A critical component of reducing emissions is shifting clinical behaviour towards reducing, avoiding, or replacing carbon-intensive healthcare. The objective of this systematic review was to find, map and assess behaviour change interventions that have been implemented in healthcare settings to encourage clinicians to reduce greenhouse gas emissions from their clinical activity.

The non-unitary nature of information preference.

Factors affecting information-seeking behaviour can be task-endogenous (e.g., probability of winning a gamble), or task-exogenous (e.

Is all mental effort equal? The role of cognitive demand-type on effort avoidance.

Humans are often termed "cognitive misers" for their aversion to mental effort. Both in and outside the laboratory people often show preferences for low-effort tasks and are willing to forgo financial reward to avoid more demanding alternatives. Mental effort, however, does not seem to be ubiquitously avoided: people play crosswords, board games, and read novels, all as forms of leisure.

Managing Interruptions to Improve Diagnostic Decision-Making: Strategies and Recommended Research Agenda.

Interruptions are an inevitable occurrence in health care. Interruptions in diagnostic decision-making are no exception and can have negative consequences on both the decision-making process and well-being of the decision-maker. This may result in inaccurate or delayed diagnoses.

Nudge interventions to reduce unnecessary antibiotic prescribing in primary care: a systematic review.

Objectives: Antibiotic prescribing in primary care contributes significantly to antibiotic overuse. Nudge interventions alter the decision-making environment to achieve behaviour change without restricting options. Our objectives were to conduct a systematic review to describe the types of nudge interventions used to reduce unnecessary antibiotic prescribing in primary care, their key features, and their effects on antibiotic prescribing overall.

Determinants of early-access to retirement savings: Lessons from the COVID-19 pandemic.

Australian regulations strictly limit early withdrawals from retirement plan accounts. However, in 2020, the Government made otherwise illiquid plan balances temporarily liquid, offering emergency relief during the pandemic. The COVID-19 Early Release Scheme allowed participants in financial hardship easy access to up to $A20,000 of savings over two rounds.

The mazing race: Effects of interruptions and benefits of interruption lags in a novel maze-like decision-making paradigm.

Interruptions are an inevitable, and often negative, part of everyday life that increase both errors and the time needed to complete even menial tasks. However, existing research suggests that being given time to prepare for a pending interruption-a lag time-can mitigate some of the interruption costs. To understand better why interruption lags are effective, we present a series of three experiments in which we develop and test a novel sequential decision-making paradigm, the mazing race.

MEM-EX: An exemplar memory model of decisions from experience.

Many real-world decisions must be made on basis of experienced outcomes. However, there is little consensus about the mechanisms by which people make these decisions from experience (DfE). Across five experiments, we identified several factors influencing DfE.

Allowing early access to retirement savings: Lessons from Australia.

In response to the COVID-19 pandemic, many governments around the world introduced policies aiming to provide citizens with financial relief through early access to their retirement savings. In Australia, the Early Release of Super (ERS) scheme allowed eligible citizens to withdraw up to A$20,000 in funds between April and December 2020. Using data provided by a large Australian bank, we examine the characteristics of the individuals who withdrew, how they used the withdrawn funds, and what impact this had on their financial wellbeing.

Toward nonprobabilistic explanations of learning and decision-making.

Referring to probabilistic concepts (such as randomness, sampling, and probability distributions among others) is commonplace in contemporary explanations of how people learn and make decisions in the face of environmental unknowns. Here, we critically evaluate this practice and argue that such concepts should only play a relatively minor part in psychological explanations. To make this point, we provide a theoretical analysis of what people need to do in order to deal with unknown aspects of a typical decision-making task (a repeated-choice gamble).

Adapting to the algorithm: how accuracy comparisons promote the use of a decision aid.

In three experiments, we sought to understand when and why people use an algorithm decision aid. Distinct from recent approaches, we explicitly enumerate the algorithm's accuracy while also providing summary feedback and training that allowed participants to assess their own skills. Our results highlight that such direct performance comparisons between the algorithm and the individual encourages a strategy of selective reliance on the decision aid; individuals ignored the algorithm when the task was easier and relied on the algorithm when the task was harder.

Consensus-based guidance for conducting and reporting multi-analyst studies.

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.

How top-down and bottom-up attention modulate risky choice.

We examine how bottom-up (or stimulus-driven) and top-down (or goal-driven) processes govern the distribution of attention in risky choice. In three experiments, participants chose between a certain payoff and the chance of receiving a payoff drawn randomly from an array of eight numbers. We tested the hypothesis that initial attention is driven by perceptual properties of the stimulus (e.

Protection from uncertainty in the exploration/exploitation trade-off.

The exploration/exploitation trade-off (EE trade-off) describes how, when faced with several competing alternatives, decision-makers must often choose between a known good alternative (exploitation) and one or more unknown but potentially more rewarding alternatives (exploration). Prevailing theory on how humans perform the EE trade-off states that uncertainty is a major motivator for exploration: the more uncertain the environment, the more exploration that will occur. The current article examines whether exploratory behavior in both choice and attention may be impacted differently depending on whether uncertainty is onset suddenly (unexpected uncertainty), or more slowly (expected uncertainty).

Appropriate responses to potential child abuse: The importance of information quality.

Background: When people suspect a child or young person is experiencing, or at risk of, abuse or neglect, they have to decide how to respond. However, the under and over reporting of child welfare issues indicate that people may struggle to identify an appropriate response.

Objective: To develop scenarios (for future training and research purposes) that closely resemble the child welfare situations health/allied health practitioners encounter, and for which there is a reasonable level of child protection professional consensus as to what the appropriate response for each situation should be.

Skilled bandits: Learning to choose in a reactive world.

In uncertain environments we must balance our need to gather information with our desire to reap rewards by exploiting current knowledge. Achieving this balance is further complicated in reactive environments where actions produce long-lasting change to the system. In four experiments, we investigate how people learn to make effective decisions from experience in a dynamic multiarmed bandit task.