Identification Of Cues Research Articles

Individuating and categorizing faces: The other-race effect is reduced by attending to racial but not identity cues

ABSTRACT According to social-cognitive accounts, the other-race effect in face recognition is driven by our tendency to attend to identity cues when encoding own-race faces (“individuation”) and racial cues when encoding other-race faces (“categorization”). This study employed novel one-back tasks to ensure that participants processed identity (individuation) or racial cues (categorization) when learning faces in an old/new recognition task. Categorization encoding eliminated the other-race effect in recognition sensitivity when list length was short (Experiment 2) but not when list length was long (Experiment 1B). Importantly, this elimination was driven by weaker performance for own-race faces, rather than stronger performance for other-race faces. Individuation encoding failed to reduce the other-race effect, regardless of list length (Experiment 1A and Experiment 2). We compare these findings with previous studies and propose several methodological features (e.g., presentation duration, task difficulty) that might influence the observed impacts of individuation and categorization encoding on the other-race effect.

Role of Temporal Fine Structure and Envelope in Identifying Ragas: A Prospective Study for Temporal Based Raga Classifier

Background and Aim: A raga is characterized by its distinctive melodic shape. The ability to perceive intricate melodic and pitch patterns depends on the Temporal Envelope (ENV) and Fine Structure (TFS). The present study aimed to understand the importance of temporal envelope and temporal fine structure cues in identifying ragas in Indian music. Methods: Twenty‏-‏one adult’s musicians were included in the study. In experiment 1, professional musicians were involved in a raga identification task using music chimaeras. In experiment 2, the chimaeras were subjected to acoustic analysis using the envelope difference index, to understand better how the ENV and TFS changed depending on how many frequency bands were used to create the chimaeras. The subjective impression of a new group of trained musicians was then compared to these results. Friedman’s test and Wilcoxon tests were carried out. Results: Results showed that both cues are crucial in a trade-off manner; when TFS are not significantly accessible, ENV aids in raga identification. It was reflected in experiment 1 as an increase in ENV scores and a decrease in TFS scores as the number of frequency bands increased. In experiment 2, the envelope difference index for ENV increases with a number of frequency bands, and it correlates with perceptual scores for ENV. Conclusion: The current study highlights the perceptual role of temporal cues in raga identification and directs future work for a temporal-based raga classifier. Keywords: Ragas; envelope; fine structure; Indian music; music information retrieval

Gender and Professional Identities in Businesswomen's Negotiation.

Gender roles and expectations for women have been shown to account for why women tend to negotiate ineffectively in business settings. Drawing from the psychological literature on multiple identities, this paper examines how individual differences in perceived compatibility between gender and professional identities-captured by the construct Gender-Professional Identity Integration (G-PII)-shape businesswomen's negotiation behaviors. Two studies examined how G-PII interacts with identity cues and cue valence to influence negotiation outcomes. We found that those who perceived their gender and professional identities as compatible (high G-PII) exhibited an "assimilation" effect-they negotiate more effectively when their professional identity was primed by professional identity cues and when prototypical female traits were positively linked to negotiation success, and negotiated less effectively when their gender identity was primed by gender identity cues and when prototypical female traits were negatively linked to negotiation success. However, businesswomen who perceived their gender and professional identities as incompatible (low G-PII) exhibited the opposite "contrast" effect. These findings suggest that the way women negotiate is influenced in part by individual differences in perceptions of compatibility between multiple identities.

Evaluating the Influence of Role-Playing Prompts on ChatGPT's Misinformation Detection Accuracy: Quantitative Study.

During the COVID-19 pandemic, the rapid spread of misinformation on social media created significant public health challenges. Large language models (LLMs), pretrained on extensive textual data, have shown potential in detecting misinformation, but their performance can be influenced by factors such as prompt engineering (ie, modifying LLM requests to assess changes in output). One form of prompt engineering is role-playing, where, upon request, OpenAI's ChatGPT imitates specific social roles or identities. This research examines how ChatGPT's accuracy in detecting COVID-19-related misinformation is affected when it is assigned social identities in the request prompt. Understanding how LLMs respond to different identity cues can inform messaging campaigns, ensuring effective use in public health communications. This study investigates the impact of role-playing prompts on ChatGPT's accuracy in detecting misinformation. This study also assesses differences in performance when misinformation is explicitly stated versus implied, based on contextual knowledge, and examines the reasoning given by ChatGPT for classification decisions. Overall, 36 real-world tweets about COVID-19 collected in September 2021 were categorized into misinformation, sentiment (opinions aligned vs unaligned with public health guidelines), corrections, and neutral reporting. ChatGPT was tested with prompts incorporating different combinations of multiple social identities (ie, political beliefs, education levels, locality, religiosity, and personality traits), resulting in 51,840 runs. Two control conditions were used to compare results: prompts with no identities and those including only political identity. The findings reveal that including social identities in prompts reduces average detection accuracy, with a notable drop from 68.1% (SD 41.2%; no identities) to 29.3% (SD 31.6%; all identities included). Prompts with only political identity resulted in the lowest accuracy (19.2%, SD 29.2%). ChatGPT was also able to distinguish between sentiments expressing opinions not aligned with public health guidelines from misinformation making declarative statements. There were no consistent differences in performance between explicit and implicit misinformation requiring contextual knowledge. While the findings show that the inclusion of identities decreased detection accuracy, it remains uncertain whether ChatGPT adopts views aligned with social identities: when assigned a conservative identity, ChatGPT identified misinformation with nearly the same accuracy as it did when assigned a liberal identity. While political identity was mentioned most frequently in ChatGPT's explanations for its classification decisions, the rationales for classifications were inconsistent across study conditions, and contradictory explanations were provided in some instances. These results indicate that ChatGPT's ability to classify misinformation is negatively impacted when role-playing social identities, highlighting the complexity of integrating human biases and perspectives in LLMs. This points to the need for human oversight in the use of LLMs for misinformation detection. Further research is needed to understand how LLMs weigh social identities in prompt-based tasks and explore their application in different cultural contexts.

Microalgal biofilm induces larval settlement in the model marine worm Platynereis dumerilii.

A free-swimming larval stage features in many marine invertebrate life cycles. To transition to a seafloor-dwelling juvenile stage, larvae need to settle out of the plankton, guided by specific environmental cues that lead them to an ideal habitat for their future life on the seafloor. Although the marine annelid Platynereis dumerilii has been cultured in research laboratories since the 1950s and has a free-swimming larval stage, specific environmental cues that induce settlement in this nereid worm are yet to be identified. Here, we demonstrate that microalgal biofilm is a key settlement cue for P. dumerilii larvae, inducing earlier onset of settlement and enhancing subsequent juvenile growth as a primary food source. We tested the settlement response of P. dumerilii to 40 different strains of microalgae, predominantly diatom species, finding that P. dumerilii have species-specific preferences in their choice of settlement substrate. The most effective diatom species for inducing P. dumerilii larval settlement were benthic pennate species including Grammatophora marina, Achnanthes brevipes and Nitzschia ovalis. The identification of specific environmental cues for P. dumerilii settlement enables a link between its ecology and the sensory and nervous system signalling that regulates larval behaviour and development. Incorporation of diatoms into P. dumerilii culture practices will improve the husbandry of this marine invertebrate model.

‘A huge political experiment’ – exploring the political brand positioning of political parties in Jersey from an internal-external perspective’

ABSTRACT A political brand aims to project a differentiated and identifiable position in the minds of voters. However, there is limited understanding on the envisaged and realised positioning of political ‘party’ brands particularly in under-explored contexts. Therefore, this study investigates the brand positioning of four political ‘party’ brands from an insider (politician) and outsider (voter) perspective in the context of the British Crown Dependency of Jersey. Adopting a qualitative approach, this study conducted semi-structured interviews with politicians-candidates from all four political parties in Jersey and focus group discussions with young voters 18–24 years. Thematic analysis was adopted as part of the analytical strategy. It was revealed internal stakeholders created clear positioning for their political brands grounded on values and visual identity cues rather than grounded on distinct policies. However, the brand positioning of the three of the four political party brands were largely unclear from the standpoint of young voters. The study has implications for academics-practitioners beyond politics. More specifically, this study presents ‘the Political Brand Positioning Toolkit’. The toolkit developed from existing theory and empirical findings represents a systematic framework, which provides guidance on how to position new or existing brands and strategically manage a brand’s envisaged and realised position.

The Role of Early Intact Auditory Experience on the Perception of Spoken Emotions, Comparing Prelingual to Postlingual Cochlear Implant Users.

Cochlear implants (CI) are remarkably effective, but have limitations regarding the transformation of the spectro-temporal fine structures of speech. This may impair processing of spoken emotions, which involves the identification and integration of semantic and prosodic cues. Our previous study found spoken-emotions-processing differences between CI users with postlingual deafness (postlingual CI) and normal hearing (NH) matched controls (age range, 19 to 65 years). Postlingual CI users over-relied on semantic information in incongruent trials (prosody and semantics present different emotions), but rated congruent trials (same emotion) similarly to controls. Postlingual CI's intact early auditory experience may explain this pattern of results. The present study examined whether CI users without intact early auditory experience (prelingual CI) would generally perform worse on spoken emotion processing than NH and postlingual CI users, and whether CI use would affect prosodic processing in both CI groups. First, we compared prelingual CI users with their NH controls. Second, we compared the results of the present study to our previous study (Taitlebaum-Swead et al. 2022; postlingual CI). Fifteen prelingual CI users and 15 NH controls (age range, 18 to 31 years) listened to spoken sentences composed of different combinations (congruent and incongruent) of three discrete emotions (anger, happiness, sadness) and neutrality (performance baseline), presented in prosodic and semantic channels (Test for Rating of Emotions in Speech paradigm). Listeners were asked to rate (six-point scale) the extent to which each of the predefined emotions was conveyed by the sentence as a whole (integration of prosody and semantics), or to focus only on one channel (rating the target emotion [RTE]) and ignore the other (selective attention). In addition, all participants performed standard tests of speech perception. Performance on the Test for Rating of Emotions in Speech was compared with the previous study (postlingual CI). When asked to focus on one channel, semantics or prosody, both CI groups showed a decrease in prosodic RTE (compared with controls), but only the prelingual CI group showed a decrease in semantic RTE. When the task called for channel integration, both groups of CI users used semantic emotional information to a greater extent than their NH controls. Both groups of CI users rated sentences that did not present the target emotion higher than their NH controls, indicating some degree of confusion. However, only the prelingual CI group rated congruent sentences lower than their NH controls, suggesting reduced accumulation of information across channels. For prelingual CI users, individual differences in identification of monosyllabic words were significantly related to semantic identification and semantic-prosodic integration. Taken together with our previous study, we found that the degradation of acoustic information by the CI impairs the processing of prosodic emotions, in both CI user groups. This distortion appears to lead CI users to over-rely on the semantic information when asked to integrate across channels. Early intact auditory exposure among CI users was found to be necessary for the effective identification of semantic emotions, as well as the accumulation of emotional information across the two channels. Results suggest that interventions for spoken-emotion processing should not ignore the onset of hearing loss.

The rise of and demand for identity‐oriented media coverage

AbstractWhile some assert that social identities have become more salient in American media coverage, existing evidence is largely anecdotal. An increased emphasis on social identities has important political implications, including for polarization and representation. We first document the rising salience of different social identities using natural language processing tools to analyze all tweets from 19 media outlets (2008–2021) alongside 553,078 URLs shared on Facebook. We then examine one potential mechanism: Outlets may highlight meaningful social identities—race/ethnicity, gender, religion, or partisanship—to attract readers through various social and psychological pathways. We find that identity cues are associated with increases in some forms of engagement on social media. To probe causality, we analyze 3,828 randomized headline experiments conducted via Upworthy. Headlines mentioning racial/ethnic identities generated more engagement than headlines that did not, with suggestive evidence for other identities. Identity‐oriented media coverage is growing and rooted partly in audience demand.

Political party affiliation, social identity cues, and attitudes about protective mask-wearing during the COVID-19 pandemic in Germany

Political party affiliation, social identity cues, and attitudes about protective mask-wearing during the COVID-19 pandemic in Germany

Neurophysiological and Autonomic Dynamics of Threat Processing During Sustained Social Fear Generalization.

Survival in dynamic environments requires that organisms learn to predict danger from situational cues. One key facet of threat prediction is generalization from a predictive cue to similar cues, ensuring that a cue-outcome contingency is applied beyond the original learning environment. Generalization has been observed in laboratory studies of aversive conditioning: behavioral and physiological processes generalize responses from a stimulus paired with threat (the CS+) to unpaired stimuli, with response magnitudes varying with CS+ similarity. In contrast, work focusing on sensory responses in visual cortex has found a sharpening pattern, in which responses to stimuli closely resembling the CS+ are maximally suppressed, potentially reflecting lateral inhibitory interactions with the CS+ representation. Originally demonstrated with simple visual cues, changes in visuocortical tuning have also been observed in threat generalization learning across facial identities. It is unclear to what extent these visuocortical changes represent transient or sustained effects and if generalization learning requires prior conditioning to the CS+. The present study addressed these questions using EEG and pupillometry in an aversive generalization paradigm involving hundreds of trials using a gradient of facial identities. Visuocortical ssVEP sharpening occurred after dozens of trials of generalization learning without prior differential conditioning, but diminished as learning continued. By contrast, generalization of alpha power suppression, pupil dilation, and self-reported valence and arousal was seen throughout the experiment. Findings are consistent with threat processing models emphasizing the role of changing visucocortical and attentional dynamics when forming, curating, and shaping fear memories as observers continue learning about stimulus-outcome contingencies.

The Effect of Visual Articulatory Cues on the Identification of Mandarin Tones by Children With Cochlear Implants.

This study explored the facilitatory effect of visual articulatory cues on the identification of Mandarin lexical tones by children with cochlear implants (CIs) in both quiet and noisy environments. It also explored whether early implantation is associated with better use of visual cues in tonal identification. Participants included 106 children with CIs and 100 normal-hearing (NH) controls. A tonal identification task was employed using a two-alternative forced-choice picture-pointing paradigm. Participants' tonal identification accuracies were compared between audio-only (AO) and audiovisual (AV) modalities. Correlations between implantation ages and visual benefits (accuracy differences between AO and AV modalities) were also examined. Children with CIs demonstrated an improved identification accuracy from AO to AV modalities in the noisy environment. Additionally, earlier implantation was significantly correlated with a greater visual benefit in noise. These findings indicated that children with CIs benefited from visual cues on tonal identification in noise, and early implantation enhanced the visual benefit. These results thus have practical implications on tonal perception interventions for Mandarin-speaking children with CIs.

Deep learning in finance assessing twitter sentiment impact and prediction on stocks

The widespread adoption of social media platforms has led to an influx of data that reflects public sentiment, presenting a novel opportunity for market analysis. This research aims to quantify the correlation between the fleeting sentiments expressed on social media and the measurable fluctuations in the stock market. By adapting a pre-existing sentiment analysis algorithm, we refined a model specifically for evaluating the sentiment of tweets associated with financial markets. The model was trained and validated against a comprehensive dataset of stock-related discussions on Twitter, allowing for the identification of subtle emotional cues that may predict changes in stock prices. Our quantitative approach and methodical testing have revealed a statistically significant relationship between sentiment expressed on Twitter and subsequent stock market activity. These findings suggest that machine learning algorithms can be instrumental in enhancing the analytical capabilities of financial experts. This article details the technical methodologies used, the obstacles overcome, and the potential benefits of integrating machine learning-based sentiment analysis into the realm of economic forecasting.

Ensemble perception of emotion: Incidental effects of social identity.

Research in vision science suggests that people possess a perceptual mechanism-ensemble perception-which enables them to rapidly identify the characteristics of groups (e.g., emotion, sex-ratio, race-ratio). This work examined whether ensemble perceptions of groups are driven by the characteristics of group members whose behavior is most likely to impact the perceiver. Specifically, we predicted that more self-relevant group members would be weighted more heavily in ensemble perceptions than less self-relevant group members. Study 1 (n = 83) found that young adult participants' ensemble perceptions of emotion were biased in favor of more self-relevant (younger adult) group members' emotional expressions, compared to less self-relevant (older adult) group members' emotional expressions, and that these ensemble perceptions informed judgments of belonging in the group. Study 2 recruited older (n = 94) and younger (n = 97) adult participants and again found a general pattern of bias in favor of more self-relevant (younger adult) group members' emotional expressions in ensemble perceptions of emotion and that these ensemble perceptions informed evaluations of belonging in the group. Finally, Study 3 (n = 193) directly manipulated the self-relevance of older and younger adult group members and found that the extent of bias in ensemble perceptions of emotion depended on whether younger or older adults were made more self-relevant. Results suggest that incidental cues of social identity can bias ensemble perceptions of emotion and influence downstream judgments of belonging. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Stereotypes and Stereotyping: Measuring the Accuracy of Lifestyle-Based Judgments on Political Affiliation

Abstract People often draw inferences about others’ underlying characteristics from single and static samples of their appearance, such as facial features, or attractiveness. Evidence also suggests that these judgments occur spontaneously and rapidly. Are humans also able to detect political preferences based on appearance? This article examines to what extent observable lifestyle characteristics influence people’s judgments about one’s political affiliation and, more importantly, to what degree these judgments are accurate. A conjoint analysis allows for the identification of the specific lifestyle cues that people use to infer one’s political affiliation. These results are contrasted with a large and unique dataset (n = 64,745), enabling the assessment of how accurate these cues are. Results suggest that certain lifestyle characteristics, such as type of car or leisure activities, are clearly associated with different political parties, at least in people’s minds. Results also suggest that, despite the potential detrimental effects of appearance-based judgments, people are generally pretty good at guessing others’ political preferences. This study contributes to a growing body of research on the relationship between lifestyle and political preferences. More generally, it sheds light on the diagnostic value of appearances in everyday social judgments.

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling

The identification of sensory cues associated with potential opportunities and dangers is frequently complicated by unrelated events that separate useful cues by long delays. As a result, it remains a challenging task for state-of-the-art spiking neural networks (SNNs) to establish long-term temporal dependency between distant cues. To address this challenge, we propose a novel biologically inspired Two-Compartment Leaky Integrate-and-Fire spiking neuron model, dubbed TC-LIF. The proposed model incorporates carefully designed somatic and dendritic compartments that are tailored to facilitate learning long-term temporal dependencies. Furthermore, the theoretical analysis is provided to validate the effectiveness of TC-LIF in propagating error gradients over an extended temporal duration. Our experimental results, on a diverse range of temporal classification tasks, demonstrate superior temporal classification capability, rapid training convergence, and high energy efficiency of the proposed TC-LIF model. Therefore, this work opens up a myriad of opportunities for solving challenging temporal processing tasks on emerging neuromorphic computing systems. Our code is publicly available at https://github.com/ZhangShimin1/TC-LIF.

Video feedback for young babies and maternal perinatal mental illness: intervention adaptation, feasibility and acceptability.

We aimed to adapt, pilot and explore experiences of receiving and delivering the video feedback intervention for positive parenting (VIPP) for 2 to 6 month old babies, mothers experiencing moderate to severe perinatal mental health difficulties and perinatal mental health clinicians. The VIPP intervention was adapted to include developmentally appropriate activities and developmental psychoeducation for 2 to 6 month olds, alongside psychoeducation on emotion regulation, and then piloted in 14 mothers experiencing moderate to severe perinatal mental health difficulties (registration ISRCTN64237883). Observational and self-reported pre-post outcome data on parenting and parent-infant mental health was collected, and post-intervention qualitative interviews were conducted with participating mothers and clinicians. Consent (67%), intervention completion (79%) and follow-up rates (93%) were high. Effect sizes on pre-post outcome measures indicated large improvements in parenting confidence and perceptions of the parent-infant relationship, and a medium-size improvement in maternal sensitivity. In qualitative interviews, clinicians and mothers described how mothers' initial anxieties about being filmed were allayed through receiving positive and strengths-focussed feedback, boosting their self-confidence, and that the video feedback facilitated identification of young babies' subtle behavioural cues and moments of mother-infant connection. Streamlining the information provided on maternal emotion regulation, and allowing increased use of clinical judgement to tailor intervention delivery, were suggested to optimise intervention feasibility and acceptability. It is feasible and acceptable to implement VIPP with very young babies and their mothers experiencing perinatal mental health difficulties. A fully powered randomised controlled trial is required to establish intervention efficacy.

Speech comprehension in the context of speaker changes: The importance of voice-feature continuity at the cocktail party

In this talk, I will show how different groups of listeners use voice acoustics to enhance speech comprehension under adverse listening conditions, specifically when the auditory scene comprises a multitude of sounds heard at once. These “cocktail-party”-like situations pose a difficult conceptual problem: To comprehend target speech, listeners need to attend to the target voice while at the same time ignoring other irrelevant sounds. The cocktail-party problem is made considerably easier when all target sounds are spoken by the same talker. Previous work suggests that such benefits from voice continuity can be—in large part—attributed to two prominent voice features: Glottal-pulse rate (GPR) and vocal-tract length (VTL). GPR determines the fundamental frequency of a speech sound and is perceived as vocal pitch; VTL determines the spectral envelope of a speech sound and is perceived as an aspect of vocal timbre. Apart from being important voice identity cues, GPR and VTL have been shown to play a crucial role in cocktail-party listening. Here, I will present data from a series of experiments highlighting the importance of voice-feature continuity for speech comprehension at the cocktail party.

Read the Feed: High-Emotion Simulation of Preterm Feeding to Enhance Graduate-Level Training.

Therapeutic bottle feeding is a critical skill for speech-language pathologists (SLPs) managing the increasing and medically complex neonatal intensive care unit (NICU) and early intervention caseloads. Thus, we explored the role of a high-emotion preterm simulator, known as "Paul," to increase knowledge, skills, and confidence related to infant feeding management for speech-language pathology graduate students. A randomized controlled study compared learning outcomes of 27 participants following either a 1-hr lecture or 1-hr training with a preterm simulator. Outcomes included knowledge demonstrated on written examination, accuracy in identifying stress cues during simulated feeding, and self-reported anxiety levels related to clinically assessing infant feeding. No baseline group differences were found on written examination or during a simulated bottle feeding. Both groups improved in written examination scores and identification of stress cues (p < .001). Gains in written examination scores did not significantly differ between groups; however, after training, the simulator group correctly identified more stress cues during a simulated bottle feeding (p < .001), and the lecture group reported reduced anxiety related to clinically evaluating infant feeding compared to simulator-trained students (p < .05). All students demonstrated gains in written knowledge and identification of stress cues; however, simulation-based training was superior in developing the feeders' ability to identify stress cues during a hands-on simulated bottle-feeding scenario. Lecture-based training may have inflated students' perceptions in their clinical skills as they were less accurate in identifying stress cues during a simulated feeding but reported significantly reduced anxiety for administering a clinical evaluation of infant feeding compared to simulation-trained students. Hands-on training using high-fidelity simulation may capitalize on experiential learning to better build clinical feeding skills for future SLPs who may serve in NICU and early intervention settings, while eliminating the risk of potential errors during learning that could affect fragile neonates.

Recovery-Based Occluded Face Recognition by Identity-Guided Inpainting.

Occlusion in facial photos poses a significant challenge for machine detection and recognition. Consequently, occluded face recognition for camera-captured images has emerged as a prominent and widely discussed topic in computer vision. The present standard face recognition methods have achieved remarkable performance in unoccluded face recognition but performed poorly when directly applied to occluded face datasets. The main reason lies in the absence of identity cues caused by occlusions. Therefore, a direct idea of recovering the occluded areas through an inpainting model has been proposed. However, existing inpainting models based on an encoder-decoder structure are limited in preserving inherent identity information. To solve the problem, we propose ID-Inpainter, an identity-guided face inpainting model, which preserves the identity information to the greatest extent through a more accurate identity sampling strategy and a GAN-like fusing network. We conduct recognition experiments on the occluded face photographs from the LFW, CFP-FP, and AgeDB-30 datasets, and the results indicate that our method achieves state-of-the-art performance in identity-preserving inpainting, and dramatically improves the accuracy of normal recognizers in occluded face recognition.

Dual application of interactive whiteboard technology to develop students’ clinical judgment skills

BackgroundNew graduate registered nurses are entering clinical practice with deficient clinical judgment skills. MethodsA convergent parallel mixed-methods design was used to describe and evaluate interactive whiteboard technology (IWB) as a method for development of students’ clinical judgment skills. ResultsDual application of IWB technology facilitated dynamic, interactive learning in the classroom and simulation laboratory and provided multiple opportunities for students to practice and hone critical thinking and clinical judgment skills. ConclusionThe novelty of this study lies in the unique procedures and methods used in the implementation of IWB technology to develop students’ clinical judgment skills. The culmination of data indicates IWB technology promotes clinical judgment skills by providing a visual platform for the early identification of patterns and cues, facilitating team communication and collaborative decision-making. Future quantitative research is needed to examine the effects of IWB technology on clinical judgment to develop generalizable evidence for nursing education.