Recognition Judgments Research Articles

A continuous aggregated accumulation model of recognition judgments.

In recognition, remember-responses are understood to be based on recollection, and know-responses are understood to be based on familiarity. Two kinds of models have been proposed for the process by which recognition decisions are made. In single-process models, familiarity and recollection are integrated, and there is a single criterion for recognition. In dual-process models, familiarity and recollection are segregated, and there are separate criteria for remember and know-judgments. Recent process models can account for the distribution of remember and know-responses (under a range of different assumptions) but do not address the time course of the recognition process. Paradoxical findings, indicating that familiarity is available faster than recollection but remember-responses are on average faster than know-responses, cannot be convincingly explained by any existing dual-process model. We propose a new model that resolves this paradox by analyzing in detail the time course of recollection and familiarity. Know-responses based on the high familiarity of the test item are faster than remember-responses based on recollection. However, low-familiarity, low-recollection responses are slow and are also categorized by participants as know-responses. Hence, the average know-response time is slower than average remember-response time because know-responses include both fast high-familiarity responses and slow low-familiarity, low-recollection responses. A 12-parameter quantitative model that describes the relationship among the effects of confidence, accuracy, and remember and know categorization on accuracy and reaction time provided the best fit between expected reaction time and observed reaction time among the models tested. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Multi-functional Electronic Glove for Multidimensional Environmental Perception and Gesture Recognition

In recent years, wearable electronic gloves with rich sensing functions have garnered widespread attention. Researchers are exploring various aspects of wearable devices including structural design, material innovation, and algorithm optimization. An analysis of demand suggests that wearable electronic gloves should possess sensory functions like hand, which includes roughness of contacted objects, assessing temperature of touched objects, determining grasp force, and interpreting gesture language. This paper presents a multi-sensing wearable flexible electronic glove equipped with graphene foam material sensors that can perceive external pressure, roughness, temperature, and express gesture language. The experimental results show that this glove exhibits excellent approximately linear-range sensing characteristics for force perception (1.475 kPa-1 at 0-0.4 kPa), outstanding temperature sensing capability (temperature sensitivity is -1.22% within the range of 30-80℃), and recognition judgment of 12 different gestures. Additionally, an optimized KNN (K-nearest neighbor) algorithm based on time-domain window is proposed. Compared with traditional KNN algorithm, KNN based on time-domain window improves the accuracy of gesture intent recognition from 86.15% to 91.93%. Wearable electronic gloves represent promising developments for fields such as hand rehabilitation training for patients, intention expression for individuals suffering from language barriers, and wearable multifunctional sensing applications.

A motor task, not working memory, causes the revelation effect.

Performing a cognitive task prior to making a recognition judgment increases the probability of old responses, which is known as the revelation effect. The criterion shift account (Niewiadomski & Hockley, 2001) proposes that occupation of working memory causes the revelation effect. However, we proposed that working memory does not cause it. Two experiments were conducted to disconfirm the relationship between working memory and the revelation effect and to consider an alternative explanation that metacognition causes the effect. In Experiment 1, the revelation effect was caused by a finger movement task, which puts little or no load on working memory. In Experiment 2, a metacognitive instruction that a cognitive task would make subsequent recognition easier induced a conservative criterion shift. The finding that a simple motor task caused the revelation effect in Experiment 1 disconfirms the relationship between working memory and the revelation effect and extends the boundaries of the occurrence of the effect. The findings in Experiment 2 suggest that metacognition may be related to the occurrence of the revelation effect. This study implies a paradoxical aspect of human cognition in that metacognition, which usually makes cognition more effective and rational, may also cause an irrational phenomenon, the revelation effect. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

混合情绪刺激对联结记忆的影响

The purpose of this study was to explore the effects of mixed emotional stimuli on associative memory. Emotional word pairs were chosen as the materials for the experiment, and the classical associative reconsideration paradigm was used to explore the effects of mixed emotional stimuli on associative memory under the condition of controlled arousal. Subjects were asked to learn different types of emotional word pairs in the learning phase, and associative recognition judgments were made on the word pairs in the recognition phase. It was found that the associative recognition scores (Pr) for mixed-emotion stimuli, positive-emotion stimuli, and negative-emotion stimuli were all significantly smaller than those for the neutral condition. The difference in associative recognition scores between mixed-emotion stimuli and positive-emotion stimuli was not significant. The association recognition scores for both mixed-emotion stimuli and positive-emotion stimuli were significantly higher than the association recognition scores for negative-emotion stimuli. The results suggest that mixed-emotion stimuli, positive-emotion stimuli, and negative-emotion stimuli impair associative memory compared to the neutral condition. Negative emotional stimuli impaired associative memory to the greatest extent, followed by mixed emotional stimuli and positive emotional stimuli.

Judgments of learning reflect the encoding of contexts, not items: evidence from a test of recognition exclusion

ABSTRACT Two sources of evidence seem to be shared by judgments of past recognition and judgments of future performance: item memory or familiarity (i.e., memory for the item independent of the context in which it was experienced) and context memory or recollection (i.e., memory for the context specific to a particular prior encounter). However, there are few studies investigating the link between these two putative memory processes and judgments of learning (JOLs). We tested memory and metamemory using a continuous exclusion procedure – a modified recognition memory task where study events for two classes of items are interleaved with test trials in which the subject must endorse items from one class and reject items from the other. This procedure allowed us to estimate the influences of memory for context and memory for item on JOLs and licenses conclusions about the relative role of item and context information in supporting JOLs. An analysis of forgetting revealed that JOLs reflect both the initial degree of learning and the rate of forgetting, but only of memory for context and not of memory for items. These findings suggest that JOLs are predictive of memory for context-bound episodes, rather than for the semantic content of those episodes.

Determination of basketball interference ball violation based on visual recognition technology electronic referee artificial intelligence algorithm

This article set up an electronic referee system based on monocular vision recognition. The system requires only two cameras to operate. By establishing a multi-camera real-time video monitoring system, the system cooperates with artificial intelligence automatic recognition judgment, overcomes many blind spots of human eye judgment, completes the judgment efficiently and accurately, improves the accuracy of the referee's ruling on basketball interference ball violation, and enhances the fairness and spectacle of the game. This project overcomes many blind spots of human eye judgement, efficiently and accurately completes the penalty, improves the accuracy of the referee's ruling on basketball interference ball violation, and enhances the fairness and spectacle of the game by establishing a multi-camera real-time video monitoring system with artificial intelligence automatic identification judgement.

Testing formal cognitive models of classification and old-new recognition in a real-world high-dimensional category domain

Categorization and old-new recognition memory are closely linked topics in the cognitive-psychology literature and there have been extensive past efforts at developing unified formal modeling accounts of these fundamental psychological processes. However, the existing formal-modeling literature has almost exclusively used small sets of simplified stimuli and artificial category structures. The present work extends this literature by collecting both categorization and old-new recognition judgments on a large set of high-dimensional stimuli that form real-world category structures: namely, a set of 540 images of rocks belonging to the geologically-defined categories igneous, metamorphic and sedimentary. Participants first engaged in a learning phase in which they classified large sets of training instances into these real-world categories. This was followed by a test phase in which they classified both training and novel transfer items into the learned categories and also judged whether each item was old or new. We attempted to model both the classification and recognition test data at the level of individual items. Ultimately, the categorization data were well fit by both an exemplar and clustering model, but not by a prototype model. Only the exemplar model was able to provide a reasonable first-order account of the old-new recognition data; however, the standard version of the model failed to capture the variability in hit rates within the class of old-training items themselves. An extended hybrid-similarity version of the exemplar model that made allowance for boosts in self-similarity due to matching distinctive features yielded much improved accounts of the old-new recognition data. The study is among the first to test cognitive-process models on their ability to account quantitatively for old-new recognition of real-world, high-dimensional stimuli at the level of individual items.

Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests

Widespread frontoparietal activity is consistently observed in recognition memory tests that compare studied (“target”) versus unstudied (“nontarget”) responses. However, there are conflicting accounts that ascribe various aspects of frontoparietal activity to mnemonic evidence versus decisional processes. According to Signal Detection Theory, recognition judgments require individuals to decide whether the memory strength of an item exceeds an evidence threshold—the decision criterion—for reporting previously studied items. Yet, most fMRI studies fail to manipulate both memory strength and decision criteria, making it difficult to appropriately identify frontoparietal activity associated with each process. In the current experiment, we manipulated both discriminability and decision criteria across recognition memory and visual detection tests during fMRI scanning to assess how frontoparietal activity is affected by each manipulation. Our findings revealed that maintaining a conservative versus liberal decision criterion drastically affects frontoparietal activity in target versus nontarget response contrasts for both recognition memory and visual detection tests. However, manipulations of discriminability showed virtually no differences in frontoparietal activity in target versus nontarget response or item contrasts. Comparing across task domains, we observed similar modulations of frontoparietal activity across criterion conditions, though the recognition memory task revealed larger activations in both magnitude and spatial extent in these contrasts. Nonetheless, there appears to be some domain specificity in frontoparietal activity associated with the maintenance of a conservative versus liberal criterion. We propose that widespread frontoparietal activity observed in target versus nontarget contrasts is largely attributable to response bias where increased activity may reflect inhibition of a prepotent response, which differs depending on whether a person maintains a conservative versus liberal decision criterion.

Sparse attentional subsetting of item features and list-composition effects on recognition memory

Although knowledge is extremely high-dimensional, human episodic memory performance appears extremely low-dimensional, focused largely on stimulus-features that distinguish list items from one another. A cognitively plausible way this tension could be addressed is if selective attention selects a small number of features from each item. I consider an ongoing debate about whether stronger items (better encoded) interfere more than weaker items (less well encoded) with probe items during old/new episodic recognition judgements. This is called the list-strength effect, concerning whether or not effects of encoding strength are larger in lists of mixed strengths than in pure lists of a single strength. Analytic derivations with Anderson’s (1970) matched filter model show how storing only a small subset of features within high-dimensional representations, and assuming those same subsets tend to reiterate themselves item-wise at test, can support high recognition performance. In the sparse regime, the model produces a list-strength effect that is small in magnitude, resembling previous findings of so-called null list-strength effects. When the attended feature space is compact, such as for phonological features, attentional subsetting cannot be sparse. This introduces non-negligible cross-talk from other list items, producing a large-magnitude list-strength effect, similar to what is observed for the production effect (better recognition when reading aloud). This continuum-based account implies the existence of a continuous range of magnitudes of list-composition effects, including occasional inverted list-strength effects. This lays the foundation for propagating effects of task-relevant attention to sparse subsets of features through a broad range of models of memory behaviour.

Chinese character unitization enhances item memory in addition to associative memory: Evidence from ERP and TFR

While the effect of unitization on associative memory has been established, its effect on item memory remains debated. This study aimed to investigate the influence of unitization on item memory using Chinese characters to manipulate unitization and recording scalp EEG to elucidate the underlying neural mechanisms. In the learning phase, participants were asked to determine whether the character pairs presented could form a Chinese compound character. In the subsequent testing phase, participants performed item recognition and associative recognition tasks. Behavioral results revealed that unitization not only improved associative memory but also facilitated item memory. Event-related potential analysis indicated there were FN400 effect (related to familiarity) and LPC effect (related to recollection) during associative recognition after unitization, however, only the LPC effect was observed for the item recognition. More importantly, time-frequency analysis demonstrated stronger θ oscillations (associated with recollection) in the unitized condition compared to the non-unitized condition, which further partially mediated the reduction in RT during the item recognition. These results suggest that unitization enhances item memory through recollection, thereby leading to more confident recognition judgments, and that unitization does not impair item processing within an association but rather enables more precise and accurate processing.

EEG-based univariate and multivariate analyses reveal that multiple processes contribute to the production effect in recognition

The production effect (PE) is the finding that reading words aloud rather than silently during study leads to improved memory. We used electroencephalography (EEG) techniques to detect the contributions of recollection, familiarity, and attentional processes to the PE in recognition memory, using Chinese stimuli. During the study phase, participants encoded each list item aloud, silently, or by performing a non-unique aloud (control) task. During the test phase, they made remember/know/new recognition judgments. We recorded EEG data in both phases. The behavioral results replicated the typical pattern with English stimuli: Recognition was better in the aloud condition than in the silent (and control) condition, and this PE was due to enhanced recollection and familiarity. At study, the amplitude of the P3b ERP component was greater in the aloud than in the silent/control conditions, suggesting that reading aloud increases attention or preparatory processing during the intention phase. At test, the recollection-based LPC old/new effect was largest in the aloud condition; however, the familiarity-based FN400 old/new effect was equivalent between the aloud condition and the silent/control conditions. Only the LPC effect correlated with the behavioral effect. Moreover, multivariate pattern analysis (MVPA) showed that accurate classification of items as ‘aloud’ versus ‘new’ mainly occurred in the later period of the recognition response, consistent with the LPC old/new effect. Our findings suggest that the within-subject PE in recognition memory reflects enhanced attention and distinctiveness, rather than increased memory strength. More broadly, our findings suggest that encoding strategies such as production enhance recollection more than familiarity.

Recognition, remember-know, and confidence judgments: no evidence of cross-contamination here!

ABSTRACT We report three experiments designed to reveal the mechanisms that underlie subjective experiences of recognition by examining effects of how those experiences are measured. Prior research has explored the potential influences of collecting metacognitive measures on memory performance. Building on this work, here we systematically evaluated whether cross-measure contamination occurs when remember-know (RK) and/or confidence (C) judgments are made after old/new recognition decisions. In Experiment 1, making either RK or C judgments did not significantly influence recognition relative to a standard no-judgment condition. In Experiment 2, making RK judgments in addition to C judgments did not significantly affect recognition or confidence. In Experiment 3, making C judgments in addition to RK judgments did not significantly affect recognition or patterns of RK responses. Cross-contamination was not apparent regardless of whether items were studied using a shallow or deep levels-of-processing task – a manipulation that yielded robust effects on recognition, RK judgments, and C. Our results indicate that under some conditions, participants can independently evaluate their recognition, subjective recognition experience, and confidence. Though contamination across measures of metamemory and memory is always possible, it may not be inevitable. This has implications for the mechanisms that underlie subjective experiences that accompany recognition judgments.

Memory for tweets versus headlines: Does message consistency matter?

AbstractPeople routinely use news outlets and social media platforms to keep up with recent events. While information from these common sources often aligns in the messages conveyed, news headlines and microblogs on social media also frequently provide contradictory messages. In this study, we examined how people recall and recognize tweets and news headlines when these sources provide inconsistent messaging. We tested this question in person (Experiment 1) and online (Experiment 2). Participants studied news headlines and tweets that provided either consistent messaging or inconsistent messaging, then completed a free recall and recognition memory task sequentially, and provided confidence ratings for recognition judgments. Findings were similar across memory tasks and experiments: Participants had better memory for tweets than news headlines regardless of message consistency. We discuss the implications of these findings for understanding memory in the digital age where social media use is widespread and messaging across sources is often inconsistent.

GradCam을 사용한 얼굴인식 신경망

In this paper, we proposed a face recognition network which attempts to use more facial features awhile using smaller number of training sets. When combining the neural network together for face recognition, we want to use networks that use different part of the facial features. However, the network training chooses randomly where these facial features are obtained. Other hand, the judgment basis of the network model can be expressed as a saliency map through gradCAM. Therefore, in this paper, we use gradCAM to visualize where the trained face recognition model has made a observations and recognition judgments. Thus, the network combination can be constructed based on the different facial features used. Using this approach, we trained a network for small face recognition problem. In an simple toy face recognition example, the recognition network used in this paper improves the accuracy by 1.79% and reduces the equal error rate (EER) by 0.01788 compared to the conventional approach.

Event-Related Potential (ERP) evidence for fluency and disfluency effects on recognition memory

Masked priming is used in recognition memory studies to alter fluency and create familiarity. Primes are flashed briefly before target words that are considered for a recognition judgment. Matching primes are hypothesized to produce greater familiarity by increasing the perceptual fluency of the target word. Experiment 1 tested this claim by contrasting match primes (i.e., “RIGHT” primes “RIGHT”), semantic primes (e.g., “LEFT” primes “RIGHT”), and orthographically similar (OS) primes (e.g., “SIGHT” primes “RIGHT”) while recording event-related potentials (ERPs). Relative to match primes, OS primes elicited fewer “old” responses and more negative ERPs during the interval associated with familiarity (300–500 ms). This result was replicated when control primes consisting of unrelated words (Experiment 2) or symbols (Experiment 3) were inserted into the sequence. The behavioral and ERP evidence suggest that word primes are perceived as a unit and the prime word activation will affect target fluency and recognition judgments. When the prime matches the target, fluency is increased and more familiarity experiences are created. When the primes are words that do not match the target, fluency is decreased (disfluency) and fewer familiarity experiences result. This evidence suggests that the effects of disfluency on recognition should be carefully considered.

Forgetting of specific and gist visual associative episodic memory representations across time.

Associative binding between components of an episode is vulnerable to forgetting across time. We investigated whether these forgetting effects on inter-item associative memory occur only at specific or also at gist levels of representation. In two experiments, young adult participants (n = 90, and 86, respectively) encoded face-scene pairs and were then tested either immediately after encoding or following a 24-hour delay. Tests featured conjoint recognition judgments, in which participants were tasked with discriminating intact pairs from highly similar foils, less similar foils, and completely dissimilar foils. In both experiments, the 24-hour delay resulted in deficits in specific memory for face-scene pairs, as measured using multinomial-processing-tree analyses. In Experiment 1, gist memory was not affected by the 24-hour delay, but when associative memory was strengthened through pair repetition (Experiment 2), deficits in gist memory following a 24-hour delay were observed. Results suggest that specific representations of associations in episodic memory, and under some conditions gist representations, as well, are susceptible to forgetting across time.

Can divided attention at retrieval improve memory? Effects of target detection during recognition

ABSTRACT The attentional boost effect (ABE) is an improvement of memory under divided attention conditions in which stimulus encoding is enhanced when a target is detected in a simultaneous target-monitoring distracting task. Here we asked whether memory is similarly improved when the target-monitoring task occurs at the time of retrieval. In four experiments, participants encoded words under full attention then completed a recognition test under either divided attention, during which participants made recognition judgments while performing the target-monitoring task, or full attention, in which the target-monitoring task was not performed. Relative to distractor rejection, target detection increased hits and false alarms under divided attention with no net effect on discrimination. Targets and distractors had no effect on recognition under full attention. The target-related increase in hits and false alarms occurred regardless of whether the target-monitoring material matched or mismatched the test material and regardless of the target-to-distractor ratio and the target response. A change in bias accounts for the phenomenon, in which participants adopt a more lenient criterion for target-paired words than for distractor-paired words. The same divided attention manipulation that enhances memory at encoding does not similarly enhance memory at retrieval. Theoretical explanations are discussed.

Seongho Yi Ik’s New Approach to Zhijue 知覺 and Weifa 未發: Stimulation by Western Learning and the Expansion of Confucianism

This paper explores the 18th-century Joseon Confucian scholar Seongho 星湖 Yi Ik’s 李瀷 (1681~1763) theory on philosophical anthropology in the context of Confucianism through his theory of the heart-mind 心論. This study begins by examining which intellectual heritage he innovated, what intellectual resources he used in the process, and how his theories diverged from those of other Joseon Confucian scholars. Through Western learning books, Seongho obtained the rational soul theory and anatomical and physiological knowledge about the brain, based on which he reinterpreted the controversial Neo-Confucian concepts of zhijue 知覺, and the Weifa-Yifa theories 未發已發論. He acknowledged the primacy of the brain, which differs from the general principles of Neo-Confucianism. Seongho did not imbue zhijue itself with moral meaning, but considered the whole process of perception–recognition–judgment as the weifa state. At this point, yifa is determined by whether moral judgments are made. If yifa is the moment of moral judgment, the relationship between weifa and yifa must be regarded as the relationship between the operation of physical perception–cognition and rational judgment–moral practice. In Seongho’s perspective, moral practice is not a process of static cultivation, but the result of active moral determination.

Establishing a causal role for left ventrolateral prefrontal cortex in value-directed memory encoding with high-definition transcranial direct current stimulation

One critical approach for promoting the efficiency of memory is to adopt selective encoding strategies to prioritize more valuable information. Past neuroimaging studies have shown that value-directed modulation of verbal memory depends heavily on the engagement of left-lateralized semantic processing regions, particularly in the ventrolateral prefrontal cortex (VLPFC). In the present study, we used high-definition transcranial direct current stimulation (HD-tDCS) to seek evidence for a causal role of left VLPFC in supporting the memory advantage for high-value items. Three groups of healthy young adult participants were presented with lists of words to remember, with each word accompanied by an arbitrarily assigned point value. During the first session, all participants received sham stimulation as they encoded five lists of 30 words each. Two of these lists were immediately tested with free recall, with feedback given to allow participants to develop metacognitive insight and strategies to maximize their point total. The second session had the exact same structure as the first, but the groups differed in whether they received continued sham stimulation (N = 22) or anodal stimulation of the left VLPFC (N = 21) or right VLPFC (N = 20). Those lists not tested with immediate recall were tested with recognition judgments after a one-day delay. Since no brain stimulation was applied during this Day 2 test, any performance differences can be attributed to the effects of stimulation on Day 1 encoding processes. Anodal stimulation of left VLPFC significantly boosted participants’ memory encoding selectivity. In comparison, no such effect was seen in participants who received right VLPFC or sham stimulation. Estimates of recollection- and familiarity-based responding revealed that left VLPFC stimulation specifically amplified the effects of item value on recollection. These results demonstrate a causal role for left VLPFC in the implementation of selective value-directed encoding strategies, putatively by boosting deep semantic processing of high-value words. Our findings also provide further evidence on the hemispheric lateralization of value-directed verbal memory encoding.

Neural correlates of retrieval practice on the learning and memory retention of L3 French vocabulary

ABSTRACT This study used event-related potential (ERP) and retrieval practice effect paradigm to investigate the neurocognitive mechanisms underlying the retrieval practice effect in a third language (L3) vocabulary learning. Thirty-five Chinese (First Language, L1)-English (Second Language, L2) bilinguals without prior knowledge of French (L3) studied 120 French (L3)–English (L2) word pairs and then practiced the word pairs through retrieval practice or repeated studying. On a final recognition test 30 minutes later, the participants were asked to perform old/new recognition judgments while recording electroencephalography (EEG) signals. Behavioural results found that retrieval practice led to a higher accuracy rate and faster response time in the final test than repeated studying. ERP results found that retrieval practice elicited less negative N400 waveforms than repeated studying at the frontal site and less negative N400 waveforms than new condition at the central-parietal sites. By contrast, retrieval practice only elicited more positive LPC waveforms than new condition at the parietal site. In sum, the present results provide first neural evidence that retrieval practice facilitates L3 (French) vocabulary learning. These findings suggest that retrieval practice might involve more semantic information processing in L3 vocabulary learning, which supports the elaborative retrieval hypothesis of the retrieval practice effect.