无关负性信息对复发性抑郁缓解者工作记忆内容更新的影响

摘 要 采用改编后的Sternberg 任务考查无关负性信息对复发性抑郁缓解个体工作记忆内容更新的影响。与正常组相比,缓解期个体在无关负性条件下对探测图片的反应时要长于有关负性条件下的反应时,而正常个体在无关正性探测图片的反应时明显长于有关正性条件下的反应时。同时缓解期个体在无关负性条件下对探测图片的反应时明显长于新图条件下的反应时,出现明显的干扰效应。结果表明反复发作的抑郁缓解者在摒弃工作记忆中无关负性内容时存在障碍。     

Diagnostic causal reasoning with verbal information

In diagnostic causal reasoning, the goal is to infer the probability of causes from one or multiple observed effects. Typically, studies investigating such tasks provide subjects with precise quantitative information regarding the strength of the relations between causes and effects or sample data from which the relevant quantities can be learned. By contrast, we sought to examine people’s inferences when causal information is communicated through qualitative, rather vague verbal expressions (e.g., “X occasionally causes A”). We conducted three experiments using a sequential diagnostic inference task, where multiple pieces of evidence were obtained one after the other. Quantitative predictions of different probabilistic models were derived using the numerical equivalents of the verbal terms, taken from an unrelated study with different subjects. We present a novel Bayesian model that allows for incorporating the temporal weighting of information in sequential diagnostic reasoning, which can be used to model both primacy and recency effects. On the basis of 19,848 judgments from 292 subjects, we found a remarkably close correspondence between the diagnostic inferences made by subjects who received only verbal information and those of a matched control group to whom information was presented numerically. Whether information was conveyed through verbal terms or numerical estimates, diagnostic judgments closely resembled the posterior probabilities entailed by the causes’ prior probabilities and the effects’ likelihoods. We observed interindividual differences regarding the temporal weighting of evidence in sequential diagnostic reasoning. Our work provides pathways for investigating judgment and decision making with verbal information within a computational modeling framework.     

How do reinforcers affect choice? Preference pulses after responses and reinforcers

In concurrent schedules, reinforcers are often followed by a brief period of heightened preference for the just‐productive alternative. Such ‘preference pulses’ may reflect local effects of reinforcers on choice. However, similar pulses may occur after nonreinforced responses, suggesting that pulses after reinforcers are partly unrelated to reinforcer effects. McLean, Grace, Pitts, and Hughes (2014) recommended subtracting preference pulses after responses from preference pulses after reinforcers, to construct residual pulses that represent only reinforcer effects. Thus, a reanalysis of existing choice data is necessary to determine whether changes in choice after reinforcers in previous experiments were actually related to reinforcers. In the present paper, we reanalyzed data from choice experiments in which reinforcers served different functions. We compared local choice, mean visit length, and visit‐length distributions after reinforcers and after nonreinforced responses. Our reanalysis demonstrated the utility of McLean et al.'s preference‐pulse correction for determining the effects of reinforcers on choice. However, visit analyses revealed that residual pulses may not accurately represent reinforcer effects, and reinforcer effects were clearer in visit analyses than in local‐choice analyses. The best way to determine the effects of reinforcers on choice may be to conduct visit analyses in addition to local‐choice analyses.     

Verbs as linguistic markers of agency: The social side of grammar

Basic grammatical categories may carry social meanings irrespective of their semantic content. In a set of four studies, we demonstrate that verbs—a basic linguistic category present and distinguishable in most languages—are related to the perception of agency, a fundamental dimension of social perception. In an archival analysis of actual language use in Polish and German, we found that targets stereotypically associated with high agency (men and young people) are presented in the immediate neighborhood of a verb more often than non‐agentic social targets (women and older people). Moreover, in three experiments using a pseudo‐word paradigm, verbs (but not adjectives and nouns) were consistently associated with agency (but not with communion). These results provide consistent evidence that verbs, as grammatical vehicles of action, are linguistic markers of agency. In demonstrating meta‐semantic effects of language, these studies corroborate the view of language as a social tool and an integral part of social perception.     

Do Community Characteristics Relate to Young Adult College Students’ Credit Card Debt? The Hypothesized Role of Collective Institutional Efficacy

This study examines the extent of emergent, outstanding credit card debt among young adult college students and investigates whether any associations existed between this credit card debt and the characteristics of the communities in which these students grew up or lived. Using data (N = 748) from a longitudinal survey and merging community characteristics measured at the zip code level, we confirmed that a community's unemployment rate, average total debt, average credit score, and number of bank branch offices were associated with a young adult college student's acquisition and accumulation of credit card debt. For example, a community's higher unemployment rate and lower number of bank branches were associated with a young adult college student's greater accumulated debt. Community characteristics had the strongest associations with credit card debt, especially after controlling for individual characteristics (i.e., a young adult college student's race and financial independence) and familial characteristics (i.e., their parents’ income and parents’ discussions of financial matters while growing up at home). The findings may help to understand the unique roles that communities play in shaping children and young adults’ financial capability, and how communities can be better capacitated to support the financial goals of their residents.     

Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition

Corpus‐based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are currently the best frequency‐based estimators of lexical decision reaction times (up to 3.6% increase in explained variance). The results are robust (observed for Twitter‐ and Facebook‐based frequencies on American English and British English datasets) and are still substantial when we control for corpus size.     

The Power of 2: How an Apparently Irregular Numeration System Facilitates Mental Arithmetic

Mangarevan traditionally contained two numeration systems: a general one, which was highly regular, decimal, and extraordinarily extensive; and a specific one, which was restricted to specific objects, based on diverging counting units, and interspersed with binary steps. While most of these characteristics are shared by numeration systems in related languages in Oceania, the binary steps are unique. To account for these characteristics, this article draws on—and tries to integrate—insights from anthropology, archeology, linguistics, psychology, and cognitive science more generally. The analysis of mental arithmetic with these systems reveals that both types of systems entailed cognitive advantages and served important functions in the cultural context of their application. How these findings speak to more general questions revolving around the theoretical models and evolutionary trajectory of numerical cognition will be discussed in the 6 .     

Multiple Framing: Verbal,Facial, and Vocal Cues in Risky Choice

Verbal framing effects have been widely studied, but little is known about how people react to multiple framing cues in risk communication, where verbal messages are often accompanied by facial and vocal cues. We examined joint and differential effects of verbal, facial, and vocal framing on risk preference in hypothetical monetary and life–death situations. In the multiple framing condition with the factorial design (2 verbal frames × 2 vocal tones × 4 basic facial expressions × 2 task domains), each scenario was presented auditorily with a written message on a photo of the messenger's face. Compared with verbal framing effects resulting in preference reversal, multiple frames made risky choice more consistent and shifted risk preference without reversal. Moreover, a positive tone of voice increased risk‐seeking preference in women. When the valence of facial and vocal cues was incongruent with verbal frame, verbal framing effects were significant. In contrast, when the affect cues were congruent with verbal frame, framing effects disappeared. These results suggest that verbal framing is given higher priority when other affect cues are incongruent. Further analysis revealed that participants were more risk‐averse when positive affect cues (positive tone or facial expressions) were congruently paired with a positive verbal frame whereas participants were more risk‐seeking when positive affect cues were incongruent with the verbal frame. In contrast, for negative affect cues, congruency promoted risk‐seeking tendency whereas incongruency increased risk‐aversion. Overall, the results show that facial and vocal cues interact with verbal framing and significantly affect risk communication. Copyright © 2016 John Wiley & Sons, Ltd.     

The Phantom Decoy Effect in Perceptual Decision Making

A phantom decoy is an alternative that is superior to another “target” option but is unavailable at the time of choice. In value‐based decisions involving phantom decoys (e.g., consumer choices), individuals often show increased preference for the similar, inferior target option over a non‐dominated competitor alternative. Unlike value‐based decisions that are driven by subjective goals, perceptual decisions typically have an outside criterion that defines the goal of the task (e.g., target is present or absent). Despite their obvious differences, past research has documented a number of commonalities between both types of decisions. In a set of three experiments, we examine the influence of phantom options on simple perceptual decisions and point out a critical difference between perceptual and value‐based decisions. Our results show that in perceptual choice, participants prefer competitor options to target options, the opposite of the pattern typically found in consumer choice. We use the results of the experiments to examine the predictions of four different models of context effects including loss aversion and dynamic, preference accumulation models. We find that accumulation models provide the best explanation for our results as well as being able to generalize to other context effects. Copyright © 2015 John Wiley & Sons, Ltd.