How to Be Helpful to Multiple People at Once

When someone hosts a party, when governments choose an aid program, or when assistive robots decide what meal to serve to a family, decision-makers must determine how to help even when their recipients have very different preferences. Which combination of people’s desires should a decision-maker serve? To provide a potential answer, we turned to psychology: What do people think is best when multiple people have different utilities over options? We developed a quantitative model of what people consider desirable behavior, characterizing participants’ preferences by inferring which combination of “metrics” (maximax, maxsum, maximin, or inequality aversion [IA]) best explained participants’ decisions in a drink-choosing task. We found that participants’ behavior was best described by the maximin metric, describing the desire to maximize the happiness of the worst-off person, though participant behavior was also consistent with maximizing group utility (the maxsum metric) and the IA metric to a lesser extent. Participant behavior was consistent across variation in the agents involved and  tended to become more maxsum-oriented when participants were told they were players in the task (Experiment 1). In later experiments, participants maintained maximin behavior across multi-step tasks rather than shortsightedly focusing on the individual steps therein (Experiment 2, Experiment 3). By repeatedly asking participants what choices they would hope for in an optimal, just decision-maker, and carefully disambiguating which quantitative metrics describe these nuanced choices, we help constrain the space of what behavior we desire in leaders, artificial intelligence systems helping decision-makers, and the assistive robots and decision-makers of the future.     

Episodic memory: what can animals remember about their past?

The question of whether episodic memory, the ability to recall unique, personal experiences, is restricted to humans is a matter of current controversy. Recent work on food-storing jays suggests that several features of episodic memory may not be as exclusive to humans as previously thought. In this review we outline the critical features of episodic memory in humans, its relationship to declarative memory, and recent results revealing that jays can learn to perform a task that depends on certain features of episodic memory and can thus be considered 'episodic-like'. Finally, we compare this avian performance with a contemporary definition of human episodic memory and consider the implications for studies of hippocampal function and animal cognition.     

Inferring Learners' Knowledge From Their Actions

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real‐time feedback and to model data from an existing educational game.     

The Influence of Gender Identities on Body Image and Breast Health among Sexual Minority Women in Taiwan: Implications for Healthcare Practices

The present paper presents constructions of gender roles among Taiwanese sexual minority women with different gender identities (i.e., butch and femme, known as T and Po, respectively, in Taiwan) and associations between their views toward their own breasts and breast healthcare intentions and behaviour. A total of 37 face-to-face interviews were conducted among women aged 20 years or older who self-identified as lesbians or women who partnered with other women in four areas of Taiwan between August 2012 and October 2012. The majority of the T –identity lesbians held negative views toward their own breasts. The T-identified lesbians’ negative intentions toward breast cancer screenings were associated with their negative views toward their own breasts and body construction process. All Po-identified lesbians reported positive views toward their own breasts; these views facilitated positive breast healthcare intentions and behaviour. The study findings can be used to help healthcare providers in understanding the importance of providing competent cultural care to sexual minority women and to help policymakers in formulating suitable policy to meet women’s healthcare needs.     

Beyond hypercorrection: remembering corrective feedback for low-confidence errors*

Correcting errors based on corrective feedback is essential to successful learning. Previous studies have found that corrections to high-confidence errors are better remembered than low-confidence errors (the hypercorrection effect). The aim of this study was to investigate whether corrections to low-confidence errors can also be successfully retained in some cases. Participants completed an initial multiple-choice test consisting of control, trick and easy general-knowledge questions, rated their confidence after answering each question, and then received immediate corrective feedback. After a short delay, they were given a cued-recall test consisting of the same questions. In two experiments, we found high-confidence errors to control questions were better corrected on the second test compared to low-confidence errors – the typical hypercorrection effect. However, low-confidence errors to trick questions were just as likely to be corrected as high-confidence errors. Most surprisingly, we found that memory for the feedback and original responses, not confidence or surprise, were significant predictors of error correction. We conclude that for some types of material, there is an effortful process of elaboration and problem solving prior to making low-confidence errors that facilitates memory of corrective feedback.     

The role of healthy emotionality in the relationship between fear of COVID-19 and mental health problems: a cross-sectional study

Cognitive Processing - Understanding pandemic-related psychopathology development is limited due to numerous individual and contextual factors. It is widely accepted that individual differences to...     

A tutorial introduction to Bayesian models of cognitive development

We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the what, the how, and the why of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for developmentalists. We emphasize a qualitative understanding of Bayesian inference, but also include information about additional resources for those interested in the cognitive science applications, mathematical foundations, or machine learning details in more depth. In addition, we discuss some important interpretation issues that often arise when evaluating Bayesian models in cognitive science.     

Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence

Children are ubiquitous imitators, but how do they decide which actions to imitate? One possibility is that children rationally combine multiple sources of information about which actions are necessary to cause a particular outcome. For instance, children might learn from contingencies between action sequences and outcomes across repeated demonstrations, and they might also use information about the actor’s knowledge state and pedagogical intentions. We define a Bayesian model that predicts children will decide whether to imitate part or all of an action sequence based on both the pattern of statistical evidence and the demonstrator’s pedagogical stance. To test this prediction, we conducted an experiment in which preschool children watched an experimenter repeatedly perform sequences of varying actions followed by an outcome. Children’s imitation of sequences that produced the outcome increased, in some cases resulting in production of shorter sequences of actions that the children had never seen performed in isolation. A second experiment established that children interpret the same statistical evidence differently when it comes from a knowledgeable teacher versus a naïve demonstrator. In particular, in the pedagogical case children are more likely to “overimitate” by reproducing the entire demonstrated sequence. This behavior is consistent with our model’s predictions, and suggests that children attend to both statistical and pedagogical evidence in deciding which actions to imitate, rather than obligately imitating successful action sequences.     

Facebook addiction: concerns, criticism, and recommendations--a response to Andreassen and colleagues

This paper provides a brief critique of the Facebook addiction research field in relation to the Bergen Facebook Addiction Scale developed by Andreaessen and colleagues (2012). Just like the term "Internet addiction," the term "Facebook addiction" may already be obsolete because there are many activities that a person can engage in on the Facebook website (e.g., messaging friends, playing games like Farmville, and gambling). What is needed is a new psychometric scale examining potential addiction to a particular online application (i.e., social networking) rather than activity on a particular website (i.e., Facebook).