Fuzzy-trace Theory Research Articles

Variation in Valence Intensity Within Frames: Testing Predictions of Prospect Theory and Fuzzy‐Trace Theory

ABSTRACTRisk and decision‐making are central to human behavior and have been extensively studied across many disciplines. To better understand the factors that influence an individual's risk‐related choices, this paper investigates the influence of frame valence intensity. It does so by comparing predictions from two prominent theories of decision‐making: Prospect theory (PT) and fuzzy‐trace theory (FTT). PT relies on the numerical transformation of subjective value information suggesting that the intensity of the frame should not affect the decision outcome. In contrast, FTT predicts that the level of frame valence should correspond to the intensity of the extracted memory trace and have predictable effects on risky choice. The results demonstrate that risky choice varies across different levels of the frame's valence. For positive frames, increasing valence intensity is associated with decreased risk preference. For negative frames, the relationship is more complex and context‐dependent. These findings extend our understanding of framing effects, suggesting that both the direction and intensity of frame valence influence risk preferences. While broadly aligning with FTT predictions regarding gist extraction, our results also indicate that PT could be extended to account for valence intensity effects, potentially bridging these theoretical perspectives.

Straight from the horse’s mouth: communicating the gist of mRNA vaccines

ABSTRACT During the COVID-19 pandemic, it was important for people to be able to comprehend information about mRNA vaccination. Moderna and Pfizer were two of the largest distributors of mRNA vaccinations, and their websites provided information about how mRNA vaccinations work. Applying the tenets of Fuzzy-trace Theory (FTT), we calculated Gist Inference Scores (GIS) to assess the extent to which texts taken from Moderna and Pfizer websites facilitate gist comprehension. We then rewrote the Moderna and Pfizer texts to increase GIS and tested their ability to facilitate a reader’s understanding of how mRNA vaccinations work. We conducted two experiments in which participants read original Moderna and Pfizer texts, a High GIS-version presenting the same content, or control texts on unrelated topics. Findings indicate that the High GIS-version increased comprehension. We conclude that this theory-driven approach can help subject-matter experts better communicate important information, allowing readers to “get the gist” of it.

Effect of a verbatim instruction on earwitness recall

When tasked with recalling a heard conversation, most individuals are unable to remember specific details. In this study, we tested the effect of Verbatim Recall Instruction (VRI) at recall. Drawing on fuzzy-trace theory, we hypothesised that the use of VRI would lead earwitnesses to use their verbatim mnesic trace to produce a more detailed recall. We compared the quantity and the quality of 42 recalls from participants who had received the VRI or the Free Recall Instruction (FRI). We analysed the level of detail of participants’ recall along a fuzzy to verbatim continuum. Results showed that participants having received a VRI recalled information that was more correct and closer to the original phrasing. However, differences in procedure make the VRI difficult to compare with other studies. Methodological differences are accordingly discussed. Findings suggest that VRI encourages the recollection of verbatim traces, in turn benefiting the recall of detailed elements of a conversation. These findings support fuzzy-trace theory.

Who Makes the Decision, How, and Why: A Fuzzy-Trace Theory Approach.

Who Makes the Decision, How, and Why: A Fuzzy-Trace Theory Approach.

The role of mental representation in sharing misinformation online.

Fuzzy-trace theory (FTT) posits that people share misinformation online if it promotes gist mental representations, cuing motivationally relevant values. Most people value the truth. Thus, per FTT, people decide to share messages that they perceive as true. FTT also predicts that messages will be more effective if they communicate a simple gist. We test these predictions by examining the roles of mental representation and epistemic quality in decisions to share misinformative articles on Facebook across two experiments and two correlational studies. In Studies 1 and 2, we use Facebook data to test the hypothesis that gist proxies in text are associated with online sharing. In Study 3, we experimentally manipulate subjects' exposure to a gist-based intervention that explains why a misinformative article is false, a simple debunk stating only that the article is false (but not explaining why) and a verbatim condition providing relevant detailed information but allowing subjects to draw their own conclusions. We found that the gist condition decreased intentions to share misinformation. Finally, in Study 4, we replicated this finding and showed that the gist condition also reduces misinformation endorsement. Results provide support for FTT's predictions regarding reducing sharing and endorsement of misinformation on social media. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Supporting pension decisions with value clarification methods or testimonials: two studies showing mixed effects on activation and feeling of preparation

IntroductionPension participants need appropriate support when making (complex) pension decisions. Grounded in Fuzzy-Trace Theory, we argue that suitable decisions require participants to (accurately) understand meaningful differences between decision alternatives. Based on this, we investigated the effectiveness of different types of decision support for the decision when to retire.MethodsWe conducted two experiments among participants of four Dutch pension funds (Study 1: N = 2,328, Study 2: N = 500) on the effectiveness of three different types of decision support: (a) a traditional pros and cons text, (b) a Value Clarification Method (VCM), and (c) testimonials.ResultsThe studies showed mixed results. In the first study, we found an activating effect of the VCM and the testimonials: participants who received one of these two types of decision support were more likely to visit a web page with additional information. In the second study, we found no differences between the three types of decision support.ConclusionWe discuss possible explanations for the effects found, as well as implications for future (research on) pension decision support.

The time course of encoding specific and gist episodic memory representations among young and older adults.

How rapidly can we encode the specifics versus the gist of episodic memories? Competing theories have opposing answers, but empirical tests are based primarily on tasks of item memory. Few studies have addressed this question with tasks measuring the binding of event components (e.g., a person and a location), which forms the core of episodic memory. None of these prior studies included older adults, whose episodic memories are less specific in nature. We addressed this critical gap by presenting face-scene pairs (e.g., an old man with a park) at various encoding presentation rates to 80 young (M = 21.83 years) and 86 older (M = 68.62 years) adults. Participants completed associative recognition tests featuring old/intact (e.g., the old man with the same park), similar (e.g., the old man with a different park), and unrelated (e.g., the old man with a kitchen) pairs. Multinomial-processing-tree model analyses revealed that young and older adults encoded each pair's gist representation more rapidly than its specific representation, supporting fuzzy-trace theory. No age-related differences in gist representations were obtained at any presentation rate, but older adults required more time to encode specific representations commensurate with those of younger adults. However, older adults' abilities to retrieve these representations were cue-dependent, as they were more susceptible than younger adults to experiencing vivid false memories of similar lures. These phantom recollections were remediated with further increases in encoding time. Thus, slower speed of encoding partially underlies age-related declines in episodic memory specificity, but retrieval mechanisms also play a role. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Dual-systems and fuzzy-trace theory predictions of COVID-19 risk taking in young adults.

Dual-systems and fuzzy-trace theory predictions of COVID-19 risk taking in young adults.

Making decisions one drink at a time and the "just one drink" effect: A fuzzy-trace theory model of harmful drinking.

Understanding the decision factors that drive harmful alcohol use among young adults is of practical and theoretical importance. We apply fuzzy-trace theory (FTT) to investigate a potential danger that may arise from the arguably correct notion that a single drink carries no meaningful risk. Decisions that are mentally represented as one drink at a time could contribute to excessive drinking. College students (N = 351) made a series of decisions to take or decline eight hypothetical drinks presented one at a time. Outcome measures included each decision, recent alcohol consumption (weekly drinks, peak blood alcohol content, and binges), and alcohol-related harms (scores on the Brief Young Adult Alcohol Consequences Questionnaire and Alcohol Use Disorders Identification Test). Linear regression models predicted each outcome from sex, perceived risk of a single drink, perceived risk of heavy drinking, perceived consequences of drinking, and general health-related risk sensitivity. Consistent with FTT, decisions to have a first drink and up to four additional drinks in short succession were each associated with lower perceived risk of one drink-a "just-one drink" effect-independent of perceived risks of heavy drinking, perceived consequences of drinking, and general risk sensitivity. Similarly, all measures of recent alcohol consumption and consequent harms were associated with perceived risk of one drink. Participants reporting "zero risk" of a single drink had worse outcomes on all measures than those reporting at least "low risk." Results are consistent with the theoretically informed premise that consumption decisions are typically made one drink at a time rather than by deciding the total number of drinks to be consumed in a sitting. When decisions about alcohol use proceed one drink at a time, a perception of zero risk in a single drink may contribute to heavy drinking.

Effects of emotional ambiguity and emotional intensity on true and false memory.

Whereas the effects of emotional intensity (the perceived strength of an item's valence or arousal) have long been studied in true- and false-memory research, emotional ambiguity (the uncertainty that attaches to perceived emotional intensity) has only been studied recently. Available evidence suggests that emotional ambiguity has reliable effects on true memory that are distinct from those of emotional intensity. However, those findings are mostly restricted to recall, and the effects of emotional ambiguity on false memory remain unexplored. The current study addressed both limitations by measuring the effects of emotional ambiguity and emotional intensity on true and false recognition. In two experiments, we manipulated valence ambiguity and valence intensity (Experiment 1) and arousal ambiguity and arousal intensity (Experiment 2) of Deese/Roediger/McDermott lists. Multiple linear regression analyses were conducted for Experiment 1, Experiment 2, and the combined data of the experiments to separate the effects of emotional ambiguity and emotional intensity. Our results showed that both valence ambiguity and arousal ambiguity improved true recognition, and the effects of valence ambiguity remained robust even when controlling for valence intensity, arousal intensity, and arousal ambiguity. More importantly, for both valence and arousal, there was an interaction between ambiguity and intensity in false memory. Specifically, we found that valence ambiguity increased false recognition with positive valence, while arousal ambiguity amplified the effect of arousal intensity on false recognition. Our results are discussed in the context of the emotional ambiguity hypothesis and fuzzy-trace theory.

Supplemental Material for Dual-Systems and Fuzzy-Trace Theory Predictions of COVID-19 Risk Taking in Young Adults

Supplemental Material for Dual-Systems and Fuzzy-Trace Theory Predictions of COVID-19 Risk Taking in Young Adults

Exact and approximate calculation and uncertain decision-making in children and adults: Evidence from fuzzy trace theory

The present study aimed to explore the role of exact and approximate calculation in predicting uncertain decision-making in children and emerging adults and the influence of intelligence on their uncertain decision-making was simultaneously considered. In the first study, forty emerging adults and fifty-four typically developing (TD) children completed the uncertain decision-making task—Iowa Gambling Task (IGT), exact calculation task, and approximate calculation task. In the second study, we further included data from forty-six intellectually gifted children with the same age as the TD children to investigate the relationship between calculation and uncertain decision-making performance. The results showed that emerging adults' and intellectually gifted children's IGT performance was superior to TD children. Exact and approximate calculation played different roles in predicting IGT performance in emerging adults and TD children: after controlling their intelligence scores, TD children's exact calculation negatively predicted their uncertain decision-making, whereas emerging adults' approximate calculation positively predicted their uncertain decision-making. Furthermore, intellectually gifted children's approximate calculation was positively associated with their uncertain decision-making, which is similar to emerging adults. This study verified and expanded fuzzy trace theory, and it shed light on developing and improving approximate calculation ability, which is beneficial to the increased ability of uncertain decision-making.

Relevant dimensions to give meaning to pension decisions

Abstract Pension participants face complex decisions. Information about the decision alternatives often contains the exact monetary amounts associated with the alternatives. Grounded in Fuzzy-Trace Theory (FTT), we argue that informed decision making requires participants to (accurately) understand meaningful differences between decision alternatives, rather than to rely on purely numerical differences in amounts. The objective of this study was to identify, for three decisions Dutch participants can make regarding their old-age pension, what dimensions participants take into account when giving meaning to the decision alternatives. We conducted 39 semi-structured in-depth interviews with Dutch pension participants in which we discussed the considerations of participants to choose for the decision alternatives. These interviews were analyzed using thematic analysis. Our analysis shows that a number of dimensions are taken into account, partially overlapping for the three decisions: life expectancy, (in)sufficient income, financial maximization, work–life balance, and job satisfaction. According to FTT, participants can be supported in extracting meaningful representations by providing cues about the dimensions that might be affected by the various decision alternatives. The dimensions identified in this paper can serve as a useful starting point for such support.

How Cognitive Biases Influence Problematic Research Methods Practices

A growing body of academic research addresses issues related to questionable choices and errors in the use of research methods in published business research. These problematic research method practices (PRMPs) may be purposeful or unconscious, but they reduce the rigor of academic research and can harm the accumulation of scientific knowledge. Yet, absent from much of this literature is a theoretically grounded approach to understanding why these problematic practices occur. Prior scholars have summarized specific types of PRMPs, but attributions about their causes are primarily limited to research lack of motivation or poor doctoral education. While these may certainly be at play, the current manuscript proposes that the deeper psychological phenomenon of cognitive bias is a likely explanation. Cognitive biases occur when human cognition produces an outcome that is systematically distorted from objective reality (Haselton, Nettle, and Murray, 2016). More colloquially, cognitive biases are systematic errors that humans make when they are faced with perceiving, remembering, and understanding information. These unintentional biases are particularly likely when that information is voluminous and ambiguous. Cognitive biases are explained by two theories—heuristic theory and fuzzy trace theory. Heuristic theory suggests that humans default to using mental shortcuts as a means to make decisions more efficiently (Chaiken and Ledgerwood, 2012). Further, fuzzy trace theory explains how memory and reasoning can be flawed (Reyna and Brainerd, 1995). Because of the limitations of the human mind, heuristic theory and fuzzy trace theory act to create unintentional cognitive biases. The current manuscript argues that the cognitive biases of source confusion, gist memory, repetition effects, bandwagon effects, and confirmation bias are mostly subconscious means by which researchers make errors in research methods use. We argue that these biases are not a useful part of the didactic approach to research, but are rather mental shortcuts that can limit researcher effectiveness. Next, specific PRMPs are addressed: reliance on methodological myths and urban legends, errors in citations, use of questionable research practices, and inappropriate use of artificial intelligence (AI) tools and technology in research. Finally, there are a number of insights and recommendations derived from research on cognitive biases to assist scholars in promoting research methods best practices. In particular, researchers can combat cognitive biases by recognizing what they are and by providing more transparency about research methods use in their articles. Incentives for authors and reviewers may reduce the impact of cognitive biases on PRMPs. Editors should create and share clear guidelines on the use of AI in research. In summary, this manuscript addresses those critical issues, fills a gap in current research regarding why PRMPs occur, and provides researchers with key insights to effectively combat cognitive biases.

Comparison of semantic and phonological false memories in short- and long-term tests.

The Deese-Roediger-McDermott (DRM) paradigm has been at the centre of false memory research. Whereas most work with this paradigm has examined memory at the long term and with semantically associated lists, the present study examines phonological and semantic false memories at both short- and long-term delays. In two experiments, participants studied short lists containing six (Experiment 1) or four (Experiment 2) items, either semantically or phonologically related to the same non-studied critical items (CI). Following each list, participants completed 36 trials of an immediate recognition task (short-term memory [STM]-only condition) only or they also completed a surprise recognition test after a 1-min delay after all 36 STM trials (STM + long-term memory [LTM] condition). In STM, false alarms were higher in phonological lists, whereas after the delay, false alarms were higher in semantic lists, reflecting differential sensitivity to the type of association as a function of delay. A third experiment examined LTM performance after controlling for prior testing and yielded highly similar results. Both the activation-monitoring framework (AMF) and fuzzy-trace theory (FTT) can explain the majority of the findings, with some remaining issues. These results confirm that information from the knowledge base (LTM) does influence accuracy in an STM task, albeit less so than perceptual level similarity.

Young adult coping and perceived susceptibility early in the COVID-19 pandemic: A fuzzy-trace theory application.

Young adult coping and perceived susceptibility early in the COVID-19 pandemic: A fuzzy-trace theory application.

Enhancing Equity in Australian Higher Education Using Fuzzy Trace Theory

Australian higher education is unequal, with regional and remote students under-represented and less likely to succeed at university despite decades of policy initiatives. Regional and remote communities are diverse, requiring tailored marketing communications to improve their university participation and experience. There is often a considerable gap between pre-commencement expectations and perceived experiences of first-year, first-time (FYFT) students. The purpose of this research is to better understand how the pre-commencement expectations of FYFT regional university students are influenced by Fuzzy Trace Theory’s (FTT) gist mental representations and the influence this has on their satisfaction. This study qualitatively explores a theoretical framework linking FTT with expectations, cognitive dissonance, action/inaction responses and satisfaction. The five identified insights were pre-commencement expectations for (1) micro-cohort connections, (2) macro-cohort connections and (3) recreational connections that, when not met, led to FYFT regional university students’ (4) responding with action or inaction, or both; with (5) action responses leading to increased satisfaction and inaction responses leading to decreased satisfaction. This research is novel, exploring and establishing the influence of FTT gist representations on FYFT regional university students’ pre-commencement expectation development to help address educational inequality. These findings confirm the powerful influence university marketing communications have on underrepresented groups.

THE ROLE OF VERBATIM VERSUS GIST FORMATTING IN AGE-RELATED DIFFERENCES IN INFORMATION AVOIDANCE

Abstract Older adults are more likely to underuse and actively avoid decision-relevant information. Although the mechanisms underlying age-related differences in information avoidance are still unknown, Fuzzy-Trace Theory (Reyna, 2012) suggests they may be due to age-related differences in information processing preferences: According to this framework, information is stored using both gist (subjective meaning) and verbatim representations (objective details/numbers). Older adults prefer gist information and gist-based information processing, whereas younger adults favor verbatim information and verbatim processing. To examine whether age-related differences in information avoidance are affected by age-related information and processing preferences, an adult lifespan sample (N = 432) completed a pre-registered online study. Participants responded to scenarios containing potentially aversive information and chose between accepting or avoiding the information. Information formatting was experimentally manipulated, with participants either being faced with receiving gist or verbatim-formatted information. Across age groups, participants were more likely to avoid verbatim numbers than qualitative gist information (p=.026); no associations were found between avoidance and information or processing preferences. At odds with prior research, age was associated with lower information avoidance (p=.010). Follow-up analyses revealed that older adults were less likely to avoid information in health-related contexts but not in contexts unrelated to health (e.g., consumer information; p=.010). Overall, participants were more likely to avoid non-health information than health information (p<.001). In sum, our findings revealed that older adults show a decreased likelihood of avoiding potentially aversive health information, but that age-related differences in information avoidance cannot be linked to age-related information or processing preferences.

Representation of shared surface information and false memory for abstract versus concrete pictures in the conjoint recognition paradigm.

An effective factor by which false memories can arise is relatedness which includes not only semantic associations but also perceptual resemblance. This issue raises questions about how patterns of perceptual features are represented in memory and how they relate to semantic representations. In five experiments, we investigated the memory processes underlying the false recognition of perceptually or semantically related pictures from the perspective of fuzzy trace theory. Multinomial processing tree model analyses for the conjoint recognition paradigm showed that the parameter representing gist trace retrieval not only contributes to false acceptances of semantically related pictures, but also underlies the false recognition of non-semantically related abstract shapes. These results challenged the hypothesis that the false recognition of non-semantically related distractors is solely due to interference with the verbatim suppression process. These experiments also showed that adding a surface feature (colour) to the category exemplars increases false recognition of related distractors by enhancing the contribution of the familiarity process, but only for pictures of real objects. Comparisons between experiments showed that different variants of the conjoint recognition model, used to analyse the effects of the same experimental manipulation, can lead to partially different conclusions.

From association to gist: Some critical tests.

We report the first evidence that the gist mechanism of fuzzy-trace theory and the associative mechanism of activation monitoring theory operate in parallel, in the recall version of the Deese/Roediger/McDermott illusion. In three experiments, we implemented a new methodology that allows their respective empirical indexes, gist strength (GS) and backward associative strength (BAS), to each be manipulated while the other is held constant. In Experiment 1, increasing GS increased false recall of missing words, but increasing BAS did not. In Experiments 2 and 3, however, increasing GS and increasing BAS both increased recall of missing words, and those effects were independent and additive. In all three experiments, GS and BAS affected true recall of list words in qualitatively different ways: (a) Increasing GS always improved true recall, regardless of whether BAS was high or low, but (b) increasing BAS impaired true recall when GS was high and improved true recall when GS was low. To pinpoint the retrieval loci of the two variables' effects, we analyzed the data of all experiments with the dual-retrieval model. Those analyses showed that the variables' respective effects were due to different retrieval processes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).