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Making judgments of learning (JOLs) can sometimes directly modify subsequent memory, which is termed JOL reactivity. To explain this phenomenon, the changed-goal hypothesis posits that JOLs increase participants’ awareness of differences in item difficulties and prompt them to focus more on easier items at the cost of harder items. The cue-strengthening hypothesis states that making JOLs enhances cues that inform JOLs and benefits memory performance if memory tests are sensitive to those cues. In Experiment 1, we found that immediate JOLs produced positive reactivity for related word pairs but prestudy JOLs did not, although both types of JOLs signaled differences in item difficulty. In Experiment 2, we manipulated target-target relatedness between consecutive word pairs and administered either free or associative recall tests. Only list-level but not item-level JOLs produced positive reactivity for target-target related pairs with free recall. Thus, both experiments support the cue-strengthening hypothesis more than the changed-goal hypothesis.

CogSci 2022

Changed-goal or cue-strengthening? An investigation into the underlying mechanisms of judgment of learning reactivity

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Join us for CogSci2022! Our 44th Annual Conference will be centered around the theme of diversity, with an accompanying range of keynotes and invited speakers who themselves highlight the diversity of our field. Our three symposia are Cognition across Diverse Populations, Cognition within Diverse Societies, and Global Challenges for Cognitive Science. The conference is being offered in a fully hybrid environment for onsite and online attendees.
 
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The 44th Annual Meeting of the Cognitive Science Society highlighted research on the theme Cognitive Diversity in addition to the full breadth and diversity of research topics offered by the society’s membership. 





Intuitive explanations for natural phenomena are typically our default explanations, even after we have learned more accurate, scientific explanations (Shtulman & Valcarcel, 2012). The current study examined whether priming students with scientific images improves their ability to verify counterintuitive scientific statements, like “bacteria need nutrients” and “bubbles have weight.” Participants (100 college undergraduates) verified scientific statements interspersed with images relevant to the predicates of those statements; the images depicted either schematic diagrams (scientific primes) or everyday scenes (intuitive primes). Scientific primes increased the accuracy of participants’ responses, relative to intuitive primes, but not the speed of those responses, indicating that scientific primes facilitate a preference for scientific ideas over intuitive ones but do not eliminate the initial conflict between them.

Priming Counterintuitive Scientific Ideas

Studying false recognition is highly important not only in furthering our general understanding of memory but also in applied situations like eyewitness testimony. The Deese Roediger McDermott (DRM) paradigm, utilizing study lists of words all semantically related to a theme word that is not actually presented, has been shown to be highly likely to produce false recognition of the theme word (critical lure) at test (Roediger & McDermott, 1995). Prior studies have aimed to combat this error by providing feedback, however the feedback provided was either delayed or only given for errors to the critical lure. Our study provides immediate feedback for every memory judgment given in a DRM recognition task, allowing subjects to evaluate their active memory traces. The results suggest that immediate feedback (compared to delayed) is more effective at reducing false recognitions, possibly due to a learned reliance on memory features that are diagnostic of true memories.

Immediate Feedback Decreases False Recognition in the DRM Paradigm

Failing to come up with a word or name is a fairly common experience that is exacerbated in older adulthood and among populations with language impairments, and yet the mechanisms underlying lexical retrieval remain fairly understudied. In this work, we introduce and evaluate a series of nested computational models of lexical retrieval that combine semantic representations derived from a distributional semantic model with a process model to account for behavioral performance in a primed lexical retrieval task. The models were tested on a behavioral data set where participants attempted to retrieve answers to descriptions of low-frequency words and were provided a semantically and/or phonologically related prime word before the retrieval attempt. Model comparisons indicated that a model that emphasized semantic activations from the description and phonological activations from the prime word best accounted for the overall data. Additionally, incorrect responses and metacognitive judgments indicating that participants had other words in mind were associated with models that instead emphasized semantic activations from the prime word. Taken together, these results identify the locus of lexical retrieval failures and offer the opportunity to investigate broader questions about semantic memory retrieval.

Finding the right words: A computational model of cued lexical retrieval

The MINERVA 2 (Hintzman, 1984) model of human memory has been used to simulate a variety of cognitive phenomena. These simulations, however, describe cogni-tive phenomena at Marr’s (1982) representation/algorithm level, with little effort to link the core assumptions of the model to an underlying neural implementation (however, see Kelly et al., 2017). This article describes a possible neural implementation of MINERVA 2—one that is sim-ple and arguably biologically plausible. This implementa-tion suggests a novel method for generating response la-tencies and provides a concrete example to support Marr’s claim that the representations and algorithms that mediate human performance in a variety of different cognitive tasks (e.g., decision making; Dougherty, Gettys, & Ogden, 1999) can be investigated and simulated without reference to their underlying neural implementation.

A neural implementation of MINERVA 2

This study investigates how neural networks reveal developmental trajectories of child language, focusing on the Agent-First strategy in comprehension of an active transitive construction in Korean. We develop three models (LSTM; BERT; GPT-2) and measure their classification performance on the test stimuli used in Shin (2021) involving scrambling and omission of constructional components at varying degrees. Results show that, despite some compatibility of these models’ performance with the children’s response patterns, their performance does not fully approximate the children’s utilisation of this strategy, demonstrating by-model and by-condition asymmetries. This study’s findings suggest that neural networks can utilise information about formal co-occurrences to access the intended message to a certain degree, but the outcome of this process may be substantially different from how a child (as a developing processor) engages in comprehension. This implies some limits of neural networks on revealing the developmental trajectories of child language.

Limits on Neural Networks: Agent-First Strategy in Child Comprehension

The contingency symmetry inference, the inference to generalize a learned contingency to a reverse direction, is known to be extremely difficult for non-human animal species (Lionello-DeNolf, 2009). In contrast, humans are known to have the “affirming the consequent fallacy”, which reverses the antecedent and the consequence (if P then Q: Q therefore P). The contingency symmetry bias has been long discussed in relation to the ontogenesis of language learning, as word learning requires understanding of bidirectional relationship between symbols and objects. But how this bias emerges has not been known. This research tested whether 8-month-old human infants have this bias on a matching-to-sample task. The results demonstrated the possession of this bias in human infants before they start active word learning. This bias is likely a uniquely human cognitive bias, which may explain why only humans have language.

The contingency symmetry bias as a foundation of word learning: Evidence from 8-mont-olds in a matching-to-sample task

This study examines (1) whether infant-directed speech (IDS) facilitates children’s word learning compared to adult-directed speech (ADS); and (2) the link between the prosody of IDS in word-learning contexts and children’s word learning from ADS and IDS. Twenty-four Dutch mother-child dyads participated when children were 18 and 24 months old. We collect mothers’ ADS and IDS at both ages and test children’s word learning from ADS and IDS at 24 months using an Intermodal Preferential Looking Paradigm (IPLP). We find that Dutch 24-month-old children could reliably learn novel words from both ADS and IDS, and IDS had a facilitative effect. Also, children’s word learning from IDS (but not ADS) is predicted by IDS pitch range when mothers introduce unfamiliar words to children at 18 months. Our findings contribute to an understanding of the role of IDS prosody in language development, highlighting both individual differences and contextual differences in IDS prosody.

Prosodic input and children’s word learning in infant- and adult-directed speech

People understand abstract ideas (e.g., positive/negative valence) through concrete concepts (e.g., up/down; Lakoff & Johnson, 2013). Empirical research has shown that upward/downward motor actions stimulate positive/negative feelings and memories (Casasanto & Dijkstra, 2010), and congruent motor actions facilitate word learning (Casasanto & de Bruin, 2019). Although prior studies reveal a close link between language and perceptual experiences, no study has tested whether the visual perception of upward/downward movements enhances the learning of words whose meaning involves either higher/lower spatial position (e.g., cloud, road), positive/negative emotional valence (e.g., joy, grief), or higher/lower social status (e.g., doctor, unemployed). The effects of directional congruency in word learning are discussed based on the results of an experiment in which Japanese speakers learned 54 English-based pseudowords presented with automatic visual movements that were congruent (e.g., upward-positive) or incongruent (e.g., downward-positive) with the pseudowords’ assigned meaning, or controls (e.g., rightward/leftward-positive).

Visual perception of vertical movements in word learning

Picture books are a popular medium through which to promote language acquisition in young children. However, not much is known about how the pictorial context in which words are introduced in such books impacts word learning in toddlers, or how joint book reading further mediates this relationship. The present study introduced words to 19-23-month-old toddlers through books in either contextually rich, semantically relevant illustrations, or on a white background in isolation. Children and their parents participated in three lab visits during which a range of language and environmental measures were taken. Parents read our intervention materials at home between the first and second visits. We found that the pictorial context in which vocabulary words are presented was significantly related to language measures throughout our study. Further, this context also influences parents’ reading techniques, with longer interactions and more target words produced when reading contextually illustrated books. Our minimal book intervention shows promise in promoting vocabulary development in typically talking toddlers.

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Changed-goal or cue-strengthening? An investigation into the underlying mechanisms of judgment of learning reactivity

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