How fuzzy-trace theory predicts true and false memories for words,sentences, and narratives

Fuzzy-trace theory posits independent verbatim and gist memory processes, a distinction that has implications for such applied topics as eyewitness testimony. This distinction between precise, literal verbatim memory and meaning-based, intuitive gist accounts for memory paradoxes including dissociations between true and false memory, false memories outlasting true memories, and developmental increases in false memory. We provide an overview of fuzzy-trace theory, and, using mathematical modeling, also present results demonstrating verbatim and gist memory in true and false recognition of narrative sentences and inferences. Results supported fuzzy-trace theory's dual-process view of memory: verbatim memory was relied on to reject meaning-consistent, but unpresented, sentences (via recollection rejection). However, verbatim memory was often not retrieved, and gist memory supported acceptance of these sentences (via similarity judgment and phantom recollection). Thus, mathematical models of words can be extended to explain memory for complex stimuli, such as narratives, the kind of memory interrogated in law.     

Active engagement in a web-based tutorial to prevent obesity grounded in Fuzzy-Trace Theory predicts higher knowledge and gist comprehension

We used Sharable Knowledge Objects (SKOs) to create an Intelligent Tutoring System (ITS) grounded in Fuzzy-Trace Theory to teach women about obesity prevention: GistFit, getting the gist of healthy eating and exercise. The theory predicts that reliance on gist mental representations (as opposed to verbatim) is more effective in reducing health risks and improving decision making. Technical information was translated into decision-relevant gist representations and gist principles (i.e., healthy values). The SKO was hypothesized to facilitate extracting these gist representations and principles by engaging women in dialogue, “understanding” their responses, and replying appropriately to prompt additional engagement. Participants were randomly assigned to either the obesity prevention tutorial (GistFit) or a control tutorial containing different content using the same technology. Participants were administered assessments of knowledge about nutrition and exercise, gist comprehension, gist principles, behavioral intentions and self-reported behavior. An analysis of engagement in tutorial dialogues and responses to multiple-choice questions to check understanding throughout the tutorial revealed significant correlations between these conversations and scores on subsequent knowledge tests and gist comprehension. Knowledge and comprehension measures correlated with healthier behavior and greater intentions to perform healthy behavior. Differences between GistFit and control tutorials were greater for participants who engaged more fully. Thus, results are consistent with the hypothesis that active engagement with a new gist-based ITS, rather than a passive memorization of verbatim details, was associated with an array of known psychosocial mediators of preventive health decisions, such as knowledge acquisition, and gist comprehension.     

On Judgments of Approximately Equal

Although precision is often important in quantitative judgment, sometimes, it is valuable to recognize that two quantities are roughly the same. Fuzzy‐trace theory suggests that approximately equal judgments rely on gist representations (i.e., meaningful fuzzy categories of quantity). We conducted three experiments to investigate approximately equal judgments with number pairs presented in different formats, both with and without semantic content (breast cancer statistics). In each study, the ratio of the smaller divided by larger number predicted approximately equal judgments. Experiment 1 also examined how knowledge of breast cancer, presentation format (frequencies vs. percentages), and differences in gist comprehension of breast cancer information influence fuzzy equality judgments. As predicted by the fuzzy‐trace theory concept of denominator neglect, approximately equal judgments were more sensitive, as measured by signal detection theory (SDT) analyses, when presented as percentages. In both experiments with breast cancer statistics, people were more likely to judge number pairs approximately equal when they were embedded in sentences about breast cancer, and breast cancer knowledge predicted increased perception of equality, when appropriately consistent with reliable sources, and increased judgment sensitivity. In Experiment 2, a simple intervention focusing on gist meaning increased source‐consistent approximately equal judgments, increased SDT judgment sensitivity, and decreased SDT response bias. In Experiment 3, using number pairs devoid of semantic context spanning four orders of magnitude, we further examined ratio similarity. Overall, more knowledgeable judges and those who better understood the gist of meaningful numbers were more likely to judge literally different numbers as “approximately equal” rather than make precise discriminations that were meaningless. Copyright © 2017 John Wiley & Sons, Ltd.     

Risk taking under the influence: A fuzzy-trace theory of emotion in adolescence

Fuzzy-trace theory explains risky decision making in children, adolescents, and adults, incorporating social and cultural factors as well as differences in impulsivity. Here, we provide an overview of the theory, including support for counterintuitive predictions (e.g., when adolescents “rationally” weigh costs and benefits, risk taking increases, but it decreases when the core gist of a decision is processed). Then, we delineate how emotion shapes adolescent risk taking—from encoding of representations of options, to retrieval of values/principles, to application of those values/principles to representations of options. Our review indicates that: (i) gist representations often incorporate emotion including valence, arousal, feeling states, and discrete emotions; and (ii) emotion determines whether gist or verbatim representations are processed. We recommend interventions to reduce unhealthy risk taking that inculcate stable gist representations, enabling adolescents to identify quickly and automatically danger even when experiencing emotion, which differs sharply from traditional approaches emphasizing deliberation and precise analysis.     

Intentions to report concussion symptoms in nonprofessional athletes: A fuzzy‐trace theory approach

Reducing concussion risks in athletes depends on self‐reporting. Often, athletes decide whether to report concussions or continue playing and risk serious health consequences. Fuzzy‐trace theory (FTT) predicts that reliance on gisty, categorical representations of risky decisions, not amounts of risk/reward, encourages risk avoidance and application of bottom‐line values, or gist principles, thus promoting healthy decisions. Applying FTT, we test whether intentions to report are predicted by gist‐based thinking about risks and values. High school and college students (N = 1,366) were assessed for concussion knowledge, social pressures to not report (by coaches/parents/teammates), categorical gist‐based thinking, endorsement of gist principles expressing values, and intentions to report. As expected, the older group scored higher on gist measures. For young adults, categorical thinking, and gist principles predicted intentions, controlling for sex, knowledge, and social pressures. For adolescents, categorical thinking again predicted intentions. For both age groups, adding FTT's predictors accounted for significantly more variance than baseline models.     

The loss‐bet paradox: Actuaries,accountants, and other numerate people rate numerically inferior gambles as superior

Psychologists have convincingly demonstrated that preferences are not always stable and, instead, are often “constructed” based on information available in the judgment or decision context. In 4 studies with experts (accountants and actuaries in Studies 1 and 2, respectively) and a diverse lay population (Studies 3 and 4), the evidence was consistent with the highly numerate being more likely than the less numerate to construct their preferences by rating a numerically inferior bet as superior (i.e., the bets effect). Thus, the effect generalizes beyond a college student sample, and preference construction differs by numeracy. Contrary to prior thinking about preference construction, however, high expertise and high ability (rather than low) consistently related to the paradoxical phenomenon. Results across studies including Study 3's experimental modifications of the task supported the hypothesized number comparison process (and not a lack of expertise with monetary outcomes and probabilities or numeracy‐related differences in attention to numbers) as the effect's underlying cause. The bets effect was not attenuated by Study 4's instructions to think about what would be purchased with bet winnings. Task results combined with free‐response coding supported the notion that highly numerate participants have a systematic and persistent inclination for doing simple and complex number operations that drive their judgments (even after controlling for nonnumeric intelligence). Implications for 3 types of dual‐process theories are discussed. The results were inconsistent with default‐interventionist theories, consistent or unclear with respect to fuzzy trace theory, and consistent with interactive theories.     

The Role of Numeracy and Intelligence in Health‐Risk Estimation and Medical Data Interpretation

Despite ample evidence that numeracy is an important influence on patient understanding and use of health‐related information, there is a dearth of studies examining the concept's relationship to other individual differences measures that may underlie complex judgments in the health domain. In this study, we compared the relative contributions of selected extant numeracy measures and general intelligence and other measures to varied judgment and decision‐making outcomes. Two hundred participants completed numeracy items, subscales of the Wechsler Adult Intelligence Scales, the need for cognition scale, and four relevant outcome measures including risk estimation and medical data interpretation. A numeracy scale constructed using item response and confirmatory factor analyses was consistently the strongest predictor across all outcome measures and accounted for unique variance over and above general intelligence. The results support the concept of numeracy as an independent construct that merits consideration in patient communication. Copyright © 2013 John Wiley & Sons, Ltd.     

A signal detection analysis of gist-based discrimination of genetic breast cancer risk

Pervasive biases in probability judgment render the probability scale a poor response mode for assessing risk judgments. By applying fuzzy trace theory, we used ordinal gist categories as a response mode, coupled with a signal detection model to assess risk judgments. The signal detection model is an extension of the familiar model used in binary choice paradigms. It provides three measures of discriminability—low versus medium risk, medium versus high risk, and low versus high risk—and two measures of response bias. We used the model to assess the effectiveness of BRCA Gist, an intelligent tutoring system designed to improve women’s judgments and understanding of genetic risk for breast cancer. Participants were randomly assigned to the BRCA Gist intelligent tutoring system, the National Cancer Institute (NCI) Web pages, or a control group, and then they rated cases that had been developed using the Pedigree Assessment Tool and also vetted by medical experts. BRCA Gist participants demonstrated increased discriminability for all three risk categories, relative to the control group; the NCI group showed increased discriminability for two of the three levels. This result suggests that BRCA Gist best improved discriminability among genetic risk categories, and both BRCA Gist and the NCI website improved participants’ ability to discriminate, rather than simply shifting their decision criterion. A spreadsheet that fits the model and compares parameters across the conditions can be downloaded from the Behavior Research Methods website and used in any research involving categorical responses.     

Numeracy and decision making

A series of four studies explored how the ability to comprehend and transform probability numbers relates to performance on judgment and decision tasks. On the surface, the tasks in the four studies appear to be widely different; at a conceptual level, however, they all involve processing numbers and the potential to show an influence of affect. Findings were consistent with highly numerate individuals being more likely to retrieve and use appropriate numerical principles, thus making themselves less susceptible to framing effects, compared with less numerate individuals. In addition, the highly numerate tended to draw different (generally stronger or more precise) affective meaning from numbers and numerical comparisons, and their affective responses were more precise. Although generally helpful, this tendency may sometimes lead to worse decisions. The less numerate were influenced more by competing, irrelevant affective considerations. Analyses showed that the effect of numeracy was not due to general intelligence. Numerical ability appears to matter to judgments and decisions in important ways.     

Analyzing Machine-Learned Representations: A Natural Language Case Study

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present a diagnostic test dataset to examine the degree of abstract composable structure represented. Analyzing performance on these diagnostic tests indicates a lack of systematicity in representations and decision rules, and reveals a set of heuristic strategies. We then investigate the effect of training distribution on learning these heuristic strategies, and we study changes in these representations with various augmentations to the training set. Our results reveal parallels to the analogous representations in people. We find that these systems can learn abstract rules and generalize them to new contexts under certain circumstances—similar to human zero-shot reasoning. However, we also note some shortcomings in this generalization behavior—similar to human judgment errors like belief bias. Studying these parallels suggests new ways to understand psychological phenomena in humans as well as informs best strategies for building artificial intelligence with human-like language understanding.     

定序变量回归模型在心理数据分析中的应用

定序变量在心理现象和心理数据中随处可见, 采用综合的定序变量回归分析模型可以对“镜像模式”和“漏斗模型”的心理现象做出合理的解释和预测。首先通过非参数检验对影响因素进行初步降维, 其次用Probit定序回归对降维后的影响因素贡献率进行判别, 从而进一步筛选具有显著性判断水平的有效指标, 最后用Logistic回归模型对某种特定的心理现象发生与否进行信息量足够大的解释和预测。大学毕业生工作生活质量满意度的预测对这种综合定序变量回归分析模型的实例拟合, 证实了综合定序变量回归分析模型在心理现象和心理数据分析中的应用价值。     

A simplified conjoint recognition paradigm for the measurement of gist and verbatim memory

The distinction between verbatim and gist memory traces has furthered the understanding of numerous phenomena in various fields, such as false memory research, research on reasoning and decision making, and cognitive development. To measure verbatim and gist memory empirically, an experimental paradigm and multinomial measurement model has been proposed but rarely applied. In the present article, a simplified conjoint recognition paradigm and multinomial model is introduced and validated as a measurement tool for the separate assessment of verbatim and gist memory processes. A Bayesian metacognitive framework is applied to validate guessing processes. Extensions of the model toward incorporating the processes of phantom recollection and erroneous recollection rejection are discussed.     

The priming effect of translation equivalents across languages for concrete and abstract words

The present study used a masked priming paradigm and two language tasks (lexical decision, semantic categorical judgment) to investigate whether concrete and abstract words share the same degree of conceptual representation across languages for bilinguals. The results showed that the priming effect of translation equivalents did not differ for concrete and abstract words in the lexical decision task, in both prime-target directions (in Experiment 1). The same results were also found in the semantic categorical judgment task in either prime-target direction (in Experiment 2). Our results do not provide support for the representation difference hypothesis of concrete and abstract words of Distributed Representation Model (De Groot, 1992a, 1992b; Van Hell & De Groot, 1998), which assumes that concrete words share more semantic components in the conceptual representations across languages, compared with abstract words. Rather, our findings suggest that both concrete and abstract words have the same degree of overlap in conceptual representations across a bilingual's two languages.     

Pauses in elementary school children's verbatim and gist free recall of a story

The aim of the research was to explore the function of pauses in children's oral verbatim and gist-based free recall, assuming that pauses indicate cognitive processing. The main question guiding this research was whether verbatim and gist recall constituted two different ways of cognitive processing associated with different time patterns of speech. Elementary school children (n = 180) between the ages of 8 and 10 years heard a story and were then instructed to either retell the story verbatim or retell its gist. They orally recalled the story for the first time immediately after hearing the story and again 1 week later. The results confirmed the main hypothesis of independence of verbatim and gist traces in that mean pause lengths were longer when verbatim retrieval was asked for as compared to gist retrieval. High correct gist recall was characterized by more and shorter pauses, indicating fluent retrieval.     

The effects of memory trace strength on eyewitness recall in children with and without intellectual disabilities

Children with mild moderate intellectual disabilities (ID) were compared with typically developing peers of the same chronological age (CA) on an eyewitness memory task in which memory trace strength was manipulated to examine whether increased memory trace strength would benefit those with ID more than those without ID. No evidence was found for this claim or for the notion that different mechanisms are implicated in memory processes for children with ID versus CA controls. Fuzzy-trace theory was also used to contrast question types that probed verbatim memory versus gist memory. Manipulations of trace strength, when used with immediate recall (to reduce the impact of decay), were predicted to improve verbatim memory more than gist memory. The results broadly supported the predictions. Performance was not improved in the stronger trace strength condition on measures of recall that tapped gist memory (e.g., open-ended recall), whereas performance was significantly better in the stronger trace strength condition on two of the three measures of recall that tapped verbatim memory (i.e., closed misleading questions, open-ended specific questions). Differences in performance between the groups were quite marked on several question types, supporting previous findings that those with ID have certain vulnerabilities as potential witnesses compared with peers of the same CA.     

基于线索的视觉空间关系判断

融合视觉空间关系识别中的类别关系判断和数量（坐标）关系判断,通过4个实验探讨了影响视觉空间关系判断的线索性方面的因素。结果表明：视觉空间关系判断受角度影响不明显;单线索条件下刺激越靠近可视线索,判断绩效越好;多线索条件下在不显著延长反应时间的情况下有助于提高视觉空间关系判断的正确率;另外不均匀条件（边界线有一定斜率）不利于视觉空间关系的判断。     

Exploring the effect of artificial intelligence intellect on consumer decision delegation: The role of trust,task objectivity,and anthropomorphism

This study examines the impact of AI intelligence levels on consumer decision delegation through three experimental studies. Study 1 manipulates AI intelligence levels (low vs. high) to establish the main effect. Study 2 explores the mediating role of trust and the moderating effect of task types (subjective vs. objective) on the relationship between AI intelligence and trust. Study 3 investigates the role of AI anthropomorphism in AI delegation. The findings reveal that increasing AI intelligence enhances consumer decision delegation for both subjective and objective consumption tasks, with trust serving as a mediating factor. However, objective tasks are more likely to be delegated to AI. Moreover, anthropomorphic appearance positively influences trust but does not moderate the relationship between intelligence and trust. This research expands the literature on AI decision delegation, shedding light on the psychological processes related to AI-powered product design, consumer perceptions, and consumption situations, while also offering practical implications.     

Two modality effects in verbal short-term memory: Evidence from sentence recall

This paper investigates the mechanisms underlying the standard modality effect (i.e., better recall performance for auditorily presented than for visually presented materials), and the modality congruency effect (i.e., better memory performance if the mode of recall and presentation are congruent rather than incongruent). We tested the assumption that the standard modality effect is restricted to the most recent word(s) of the sentences but occurs in both verbatim and gist recall (Experiments 1 and 2), whereas the modality congruency effect should be evident for the rest of the sentence when using verbatim recall (Experiment 3) but not when using gist recall (Experiment 4). All experiments used the Potter-Lombardi intrusion paradigm. When the target word was the most recent word of the sentence, a standard modality effect was found with both verbatim recall and gist recall. When the target word was included in the middle of the sentences, a modality congruency effect was found with verbatim recall but not with gist recall.     

Internet Safety and the Silver Surfer: The Relationship Between Gist Reasoning and Adults' Risky Online Behavior

Currently, fewer older adults are online compared with younger generations. However, with many new initiatives aiming to significantly increase the number of older internet users, they will increasingly be exposed to potential victimisation from internet fraud, a fundamental issue affecting all adult internet users. Despite this, little research has examined online risk‐taking across the adult lifespan or adults' reasoning about risky online behaviors. Using fuzzy trace theory, we investigated adults' online risk‐taking behavior and intentions, and whether these behaviors were related to different ways of reasoning about risk, namely, gist reasoning (using qualitative, intuitive knowledge) and verbatim reasoning (using quantitative, specific knowledge). Participants (326 adults, 18–79 years old, M_age = 49.54 years) reported their past risk‐taking behavior, future online risk intentions, gist and verbatim reasoning about online risk, sensation seeking, and time spent online. Age was negatively correlated with past risk‐taking, time online, future risk intentions, and sensation seeking. However, time spent online was positively related to future risk intentions, suggesting that spending more time using the internet could lead individuals to take more risks. Increased verbatim reasoning predicted increased intentions to take online risks, while gist reasoning predicted reduced intentions to take risks online. Our findings extend online risk research applying fuzzy trace theory to adolescents and young adults and suggest that online safety training incorporating gist‐based reasoning strategies could benefit all adults and, in particular, older generations. Copyright © 2017 John Wiley & Sons, Ltd.     

Attentional modulation of masked repetition and categorical priming in young and older adults

Three experiments examined the effects of temporal attention and aging on masked repetition and categorical priming for numbers and words. Participants' temporal attention was manipulated by varying the stimulus onset asynchrony (i.e., constant or variable SOA). In Experiment 1, participants performed a parity judgment task and a lexical decision task in which categorical priming and repetition priming were, respectively, tested. Experiment 2 used a semantic categorization task testing categorical priming. In Experiment 3, repetition and categorical priming were tested in the same semantic categorization task with the same stimuli. The results of the three experiments showed that masked repetition priming is insensitive to manipulations of temporal attention whereas categorical priming is. Furthermore, no differences were found between young and older adults in repetition priming effects, again contrasting with the categorical priming results for which older adults were more sensitive to attentional manipulations than young adults.