Accurate Perception Research Articles

Relationship between cognitive and emotional domains of prognostic awareness with quality of life and psychological distress in patients with advanced cancer.

11106 Background: Prognostic awareness, a measure of patients’ cognitive and emotional perception of their illness and prognosis, allows individuals to align their medical decision-making with their goals and values. Prior studies have shown mixed findings regarding the relationship between prognostic awareness with better quality of life (QOL) and less psychological distress in patients with advanced cancer. However, studies have not investigated whether it is the cognitive or the emotional aspects of patients’ awareness of their prognosis that are associated with QOL and psychological distress in patients with advanced cancer. Methods: We conducted a cross-sectional study of patients with metastatic solid malignancies not being treated for curative intent at a single academic center from 11/2019-6/2022. We used the Prognostic Awareness Questionnaire (PAIS) to measure the cognitive (i.e., the capacity to understand one’s prognosis characterized by the accurate perception that a cancer is curable or not) and emotional coping with prognosis (i.e., the capacity to emotionally process prognostic uncertainty and terminal prognosis). We used the Functional Assessment of Cancer Therapy-General (FACT-G), Hospital Anxiety and Depression scale (HADS), and the Peace, Equanimity and Acceptance in the Cancer Experience (PEACE) scale to measure, QOL, psychological distress, and acceptance of illness, respectively. We used multivariate regression models controlling for age, gender, and cancer type to assess the relationship between the cognitive and emotional prognostic awareness domains and patient-reported outcomes. Results: Overall, 632 participants (age 65 years (SD=11.3), 51% female, 76% married or living with a partner) were enrolled in the study. In multivariate models, higher cognitive understanding of prognosis was not associated with QOL (b=-2.134; p=0.069), psychological distress (i.e., anxiety: b=0.331; p=0.232 and depression; b=0.233; p=0.368), or peaceful acceptance of terminal illness (b=-0.045; p=0.838). However, emotional coping of prognosis was associated with better QOL (b=1.981; p<0.001), less anxiety (b=-0.516; p<0.001) and depression (b=-0.370; p<0.001) symptoms, and more peaceful acceptance of terminal illness (b=0.438; p<0.001). Conclusions: Patients’ emotional coping with their prognosis, rather than their cognitive understanding of their terminal prognosis, was associated with their QOL, psychological distress, and acceptance of their illness. These findings underscore the importance of examining prognostic awareness and its association with patient-reported outcomes by domains. We also highlight the need to develop supportive care interventions to promote effective coping strategies for patients after prognostic disclosure.

A vision chip with complementary pathways for open-world sensing.

Image sensors face substantial challenges when dealing with dynamic, diverse and unpredictable scenes in open-world applications. However, the development of image sensors towards high speed, high resolution, large dynamic range and high precision is limited by power and bandwidth. Here we present a complementary sensing paradigm inspired by the human visual system that involves parsing visual information into primitive-based representations and assembling these primitives to form two complementary vision pathways: a cognition-oriented pathway for accurate cognition and an action-oriented pathway for rapid response. To realize this paradigm, a vision chip called Tianmouc is developed, incorporating a hybrid pixel array and a parallel-and-heterogeneous readout architecture. Leveraging the characteristics of the complementary vision pathway, Tianmouc achieves high-speed sensing of up to 10,000 fps, a dynamic range of 130 dB and an advanced figure of merit in terms of spatial resolution, speed and dynamic range. Furthermore, it adaptively reduces bandwidth by 90%. We demonstrate the integration of a Tianmouc chip into an autonomous driving system, showcasing its abilities to enable accurate, fast and robust perception, even in challenging corner cases on open roads. The primitive-based complementary sensing paradigm helps in overcoming fundamental limitations in developing vision systems for diverse open-world applications.

Development and psychometric evaluation of the death risk perception scale for advanced cancer patients

BackgroundAn accurate perception of death risk is a prerequisite for advanced cancer patients to make informed end-of-life care decisions. However, there is to date no suitable scale to measure death risk perception. This study was to develop and psychometrically test the death risk perception scale (DRPS) for advanced cancer patients.MethodsProcess of instrument development and psychometric evaluation were used. First, qualitative research, a literature review, brainstorming, a Delphi study, and cognitive interviews were conducted to construct a pretest scale of death risk perception. Second, a scale-based survey was administered to 479 advanced cancer patients. Item, exploratory factor, and confirmatory factor analyses were employed to optimize the scale. The Cronbach’s alpha was calculated as a reliability analysis. The validity analysis included construct, convergent, discriminant, and content validity values.ResultsA three-dimension, 12-item scale was developed, including deliberative, affective, and experiential risk perception. The confirmatory factor analysis supported the three-factor model with satisfactory convergent and discriminant validity levels. The Cronbach's alpha coefficient for internal consistency was 0.807 and scale-level content validity index was 0.98.ConclusionsThe 12-item DRPS is a reliable and valid instrument for assessing the level of death risk perception in advanced cancer patients. More studies are needed to examine its structure and robustness prior to use.

Virtual lab coats: The effects of verified source information on social media post credibility.

Social media platform's lack of control over its content made way to the fundamental problem of misinformation. As users struggle with determining the truth, social media platforms should strive to empower users to make more accurate credibility judgements. A good starting point is a more accurate perception of the credibility of the message's source. Two pre-registered online experiments (N = 525;N = 590) were conducted to investigate how verified source information affects perceptions of Tweets (study 1) and generic social media posts (study 2). In both studies, participants reviewed posts by an unknown author and rated source and message credibility, as well as likelihood of sharing. Posts varied by the information provided about the account holder: (1) none, (2) the popular method of verified source identity, or (3) verified credential of the account holder (e.g., employer, role), a novel approach. The credential was either relevant to the content of the post or not. Study 1 presented the credential as a badge, whereas study 2 included the credential as both a badge and a signature. During an initial intuitive response, the effects of these cues were generally unpredictable. Yet, after explanation how to interpret the different source cues, two prevalent reasoning errors surfaced. First, participants conflated source authenticity and message credibility. Second, messages from sources with a verified credential were perceived as more credible, regardless of whether this credential was context relevant (i.e., virtual lab coat effect). These reasoning errors are particularly concerning in the context of misinformation. In sum, credential verification as tested in this paper seems ineffective in empowering users to make more accurate credibility judgements. Yet, future research could investigate alternative implementations of this promising technology.

Socio-Cognitive Determinants of Lifestyle Behavior in the Context of Dementia Risk Reduction: A Population-Based Study in the Netherlands.

Unhealthy behavior increases the risk of dementia. Various socio-cognitive determinants influence whether individuals persist in or alter these unhealthy behaviors. This study identifies relevant determinants of behavior associated to dementia risk. 4,104 Dutch individuals (40-79 years) completed a screening questionnaire exploring lifestyle behaviors associated with dementia risk. Subsequently, 3,065 respondents who engaged in one or more unhealthy behaviors completed a follow-up questionnaire investigating socio-cognitive determinants of these behaviors. Cross-tables were used to assess the accuracy of participants' perceptions regarding their behavior compared to recommendations. Confidence Interval-Based Estimation of Relevance (CIBER) was used to identify the most relevant determinants of behavior based on visual inspection and interpretation. Among the respondents, 91.3% reported at least one, while 65% reported two or more unhealthy lifestyle behaviors associated to dementia risk. Many of them were not aware they did not adhere to lifestyle recommendations. The most relevant determinants identified include attitudes (i.e., lacking a passion for cooking and finding pleasure in drinking alcohol or smoking), misperceptions on social comparisons (i.e., overestimating healthy diet intake and underestimating alcohol intake), and low perceived behavioral control (i.e., regarding changing physical inactivity, altering diet patterns, and smoking cessation). Individual-level interventions that encourage lifestyle change should focus on enhancing accurate perceptions of behaviors compared to recommendations, while strengthening perceived control towards behavior change. Given the high prevalence of dementia risk factors, combining interventions at both individual and environmental levels are likely to be the most effective strategy to reduce dementia on a population scale.

Spectral consistency in sound sequence affects perceptual accuracy in discriminating subdivided rhythmic patterns.

Musical compositions are distinguished by their unique rhythmic patterns, determined by subtle differences in how regular beats are subdivided. Precise perception of these subdivisions is essential for discerning nuances in rhythmic patterns. While musical rhythm typically comprises sound elements with a variety of timbres or spectral cues, the impact of such spectral variations on the perception of rhythmic patterns remains unclear. Here, we show that consistency in spectral cues affects perceptual accuracy in discriminating subdivided rhythmic patterns. We conducted online experiments using rhythmic sound sequences consisting of band-passed noise bursts to measure discrimination accuracy. Participants were asked to discriminate between a swing-like rhythm sequence, characterized by a 2:1 interval ratio, and its more or less exaggerated version. This task was also performed under two additional rhythm conditions: inversed-swing rhythm (1:2 ratio) and regular subdivision (1:1 ratio). The center frequency of the band noises was either held constant or alternated between two values. Our results revealed a significant decrease in discrimination accuracy when the center frequency was alternated, irrespective of the rhythm ratio condition. This suggests that rhythm perception is shaped by temporal structure and affected by spectral properties.

Impaired Perception of Body-Weight Distribution Marks Functional Mobility Problems in Patients Undergoing Total Hip Arthroplasty.

Hip osteoarthritis and total hip arthroplasty imply damaged articular and periarticular structures responsible for proprioception, and this damage may impair the accurate perception of body-weight distribution. In this study, we investigated proprioceptive abilities and accuracy perceiving body-weight distribution in patients undergoing total hip arthroplasty, and we assessed the associations between these abilities and body perception accuracy with functional mobility testing in 20 patients scheduled for total hip arthroplasty and 20 age-matched healthy participants. We assessed (a) absolute error in hip joint position sense (AE-JPS), (b) absolute error in body-weight distribution (AE-BWD) during standing and sit-to-stand tasks with open and closed eyes, and (c) functional mobility with the Timed Up and Go Test (TUG). We assessed patients undergoing hip arthroplasty before (T0) and five days after their surgery (T1), while control participants underwent a single evaluation. Relative to controls, participants undergoing surgery showed higher AE-JPS at 15° of hip flexion at T0 (p = .003) and at T1 (p = .007), greater AE-BWD during sit-to-stand with open eyes at T1 (p = .014) and with closed eyes at both T0 (p = .014) and at T1 (p < .001), and worse TUG at both T0 (p = .009) and T1 (p < .001). AE-BWD during sit-to-stand with closed eyes positively correlated with TUG at T0 (r = 0.55, p = .011) and at T1 (r = 0.51, p = .027). These findings suggested that impairments in body-weight distribution perception were evident both before and immediately after total hip arthroplasty, suggesting that these impairments may regularly mark these patients' functional mobility problems.

Interpersonal Perceptual Tendencies and Adjustment in Chinese Adolescents: Testing the Mediating Role of Peer Relationship.

Accuracy and assumed similarity are the most central topics in the research area of interpersonal perception. These two interpersonal perceptual tendencies have been demonstrated to have beneficial effects on adults' psychological functioning independently. However, how and why they influence adolescent psychological adjustment is less well-understood. The present research aimed to examine the mediating role of peer relationships in the association between these two interpersonal perceptual tendencies and psychological adjustment in adolescents. In the first study, a sample of adolescents in their first year of college (N = 93, 63% girls, Mage = 17.45 years, SD = 0.52) were recruited from a university located in Eastern China. They completed the likableness ratings of Anderson's 200 adjectives. The top 10 personality traits with the lowest and highest likableness values were selected to measure adolescents' personality profiles. In the second study, a round-robin design in a real-life setting, a sample of Chinese adolescents in grades six to nine were recruited from two middle schools (N = 337, Ndyads = 918, 47% girls, Mage = 13.76, SD = 1.15). They were requested to rate themselves and their peers within the same group on various factors. Results revealed that adolescents could form an accurate perception of their peers' personalities and concurrently assume that their peers' personalities are similar to their own. More importantly, accurate interpersonal perception and a biased tendency towards assumed similarity could, directly and indirectly, benefit adolescent psychological adjustment through peer relationships.

Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging

In industrial applications demanding close interaction between humans and robots, accurate perception of the robot's surroundings is vital to adjust its behavior appropriately. This need becomes especially pertinent when manipulators operate autonomously and execute both separate and common tasks with human operators. To ensure operator safety in such Human-Robot Collaboration (HRC) environments, the present paper proposes an innovative approach that leverages advanced collaborative robotic systems capable of sensing the operator's position to effectively prevent or mitigate potential contact. Our solution combines infrared-thermal imaging technology with a workspace monitoring system, utilizing thermal and depth cameras, to track the operator's current location and predict their future trajectory using a multi-layer Long Short-Term Memory (LSTM) neural network. We also introduce a technique for simulating both human and robot movements to generate a synthetic dataset. This data is shared with the motion planning system to generate trajectories that do not intersect with the operator's future paths, minimizing downtime due to safety stoppages. The solution is integrated and evaluated within an industrial high payload collaborative robot context, and the results have shown improvements in cycle time efficiency and operator approval. This approach offers a promising direction for enhancing safety and productivity in HRC workspaces.

OBU for Accurate Navigation through Sensor Fusion in the Framework of the EMERGE Project

With the development of advanced driver assistance systems (ADAS) and autonomous vehicles (AV), recent years have seen an increasing evolution of onboard sensors and communication interfaces capable of interacting with available infrastructures, including satellite constellations, road structures, modern and heterogeneous network systems (e.g., 5G and beyond) and even adjacent vehicles. Consequently, it is essential to develop architectures that cover data fusion (multi–sensor approach), communication, power management, and system monitoring to ensure accurate and reliable perception in several navigation scenarios. Motivated by the EMERGE project, this paper describes the definition and implementation of an On Board Unit (OBU) dedicated to the navigation process. The OBU is equipped with the Xsens MTi–630 AHRS inertial sensor, a multi–constellation/multi–frequency Global Navigation Satellite System (GNSS) receiver with the u–blox ZED–F9P module and communication interfaces that afford access to the PointPerfect augmentation service. Experimental results show that GNSS, with corrections provided by augmentation, affords centimetre accuracy, with a Time To First Fix (TTFF) of about 30 s. During the on–road tests, we also collect: the output of fusion with inertial sensor data, monitoring information that assess correct operation of the module, and the OBU power consumption, that remains under 5 W even in high–power operating mode.

Effects of marketing claims on toddler food products on parents' product preferences, perceptions and purchasing intentions: an online experiment.

The retail market for toddler-specific packaged foods is growing. Many of these products are ultra-processed and high in nutrients of concern for health, yet marketed in ways that may make them appear wholesome. This study aims to assess parents' responses to claims on unhealthy, ultra-processed toddler food products and test whether removing such claims promotes more accurate product perceptions and healthier product preferences. Parents of toddlers aged 12 to < 36months (N = 838) were recruited for an online experiment testing four on-pack claim conditions: control (no claim); 'contains "good" ingredient'; 'free from "bad" ingredient'; and unregulated'child-related' claim. Participants were randomly assigned to one condition, then viewed images of toddler food products that varied in nutrition content and the claims displayed. Participants completed tasks assessing product preferences (unhealthy product displaying claim vs. a healthier option with no claim, across four food categories (banana bars, strawberry snacks, blueberry yogurt snacks and veggie snacks)), purchase intentions and product perceptions. Poisson regression (count variable) and linear regression (continuous outcomes) analyses were employed to test for mean differences by marketing claim conditions. For the overall sample, brief exposure to 'free from "bad" ingredient' claims increased participant's intentions to purchase unhealthy food products for their toddlers, but there was no clear evidence that 'contains "good" ingredient' claims and 'child-related' claims significantly impacted parent's preferences, purchase intentions and perceptions of toddler foods. However, certain claims influenced particular parent subgroups. Notably, parents with three or more children chose more unhealthy products when these products displayed 'contains "good" ingredient' or 'free from "bad" ingredient' claims; the latter claims also promoted stronger purchase intentions and enhanced product perceptions among this subgroup. Findings indicate that 'free from "bad" ingredient' claims on unhealthy toddler foods are of most concern, as they boost the appeal of these products to parents. 'Contains "good" ingredient' claims and 'child-related' claims showed limited effects in this study. Considering available evidence, we recommend claims should not be permitted on child-oriented foods, as they may promote inaccurate product perceptions and unhealthy product choices by parents, that can detract from their children's diets and health.

Fabric perceptions in digital contexts: exploring the correlation between certainty and accuracy

As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms.

Cerebellar Purkinje cells combine sensory and motor information to predict the sensory consequences of active self-motion in macaques

Accurate perception and behavior rely on distinguishing sensory signals arising from unexpected events from those originating from our own voluntary actions. In the vestibular system, sensory input that is the consequence of active self-motion is canceled early at the first central stage of processing to ensure postural and perceptual stability. However, the source of the required cancellation signal was unknown. Here, we show that the cerebellum combines sensory and motor-related information to predict the sensory consequences of active self-motion. Recordings during attempted but unrealized head movements in two male rhesus monkeys, revealed that the motor-related signals encoded by anterior vermis Purkinje cells explain their altered sensitivity to active versus passive self-motion. Further, a model combining responses from ~40 Purkinje cells accounted for the cancellation observed in early vestibular pathways. These findings establish how cerebellar Purkinje cells predict sensory outcomes of self-movements, resolving a long-standing issue of sensory signal suppression during self-motion.

What the eyes, confidence, and partner's identity can tell about change of mind.

Perceptual confidence reflects the ability to evaluate the evidence that supports perceptual decisions. It is thought to play a critical role in guiding decision-making. However, only a few empirical studies have actually investigated the function of perceptual confidence. To address this issue, we designed a perceptual task in which participants provided a confidence judgment on the accuracy of their perceptual decision. Then, they viewed the response of a machine or human partner, and they were instructed to decide whether to keep or change their initial response. We observed that confidence predicted participants' changes of mind more than task difficulty and perceptual accuracy. Additionally, interacting with a machine, compared to a human, decreased confidence and increased participants tendency to change their initial decision, suggesting that both confidence and changes of mind are influenced by contextual factors, such as the identity of a partner. Finally, variations in confidence judgments but not change of mind were correlated with pre-response pupil dynamics, indicating that arousal changes are linked to confidence computations. This study contributes to our understanding of the factors influencing confidence and changes of mind and also evaluates the possibility of using pupil dynamics as a proxy of confidence.

Disrupted Rotational Perception During Simultaneous Stimulation of Rotation and Inertia.

Two vestibular signals, rotational and inertial cues, converge for the perception of complex motion. However, how vestibular perception is built on neuronal behaviors and decision-making processes, especially during the simultaneous presentation of rotational and inertial cues, has yet to be elucidated in humans. In this study, we analyzed the perceptual responses of 20 participants after pairwise rotational experiments, comprised of four control and four test sessions. In both control and test sessions, participants underwent clockwise and counterclockwise rotations in head-down and head-up positions. The difference between the control and test sessions was the head re-orientation relative to gravity after rotations, thereby providing only rotational cues in the control sessions and both rotational and inertial cues in the test sessions. The accuracy of perceptual responses was calculated by comparing the direction of rotational and inertial cues acquired from participants with that predicted by the velocity-storage model. The results showed that the accuracy of rotational perception ranged from 80 to 95% in the four control sessions but significantly decreased to 35 to 75% in the four test sessions. The accuracy of inertial perception in the test sessions ranged from 50 to 70%. The accuracy of rotational perception improved with repetitive exposure to the simultaneous presentation of both rotational and inertial cues, while the accuracy of inertial perception remained steady. The results suggested a significant interaction between rotational and inertial perception and implied that vestibular perception acquired in patients with vestibular disorders are potentially inaccurate.

Embodied AI for dexterity-capable construction Robots: DEXBOT framework

The construction industry is integrating robots into critical tasks at an accelerated pace, with the aim of enhancing efficiency, safety, and productivity. However, construction tasks requiring dexterity remain a challenge due to the need for precise movements, accurate perception, real-time decision-making, and a comprehensive understanding of the environment. To address these challenges, the introduction of embodied artificial intelligence (AI) represents a significant shift in robotic capabilities to enhance their alignment with the broader spectrum of construction settings. Rooted in cognitive science, embodied AI emphasizes the integration of an agent’s physical form into its computational intelligence processes. It resembles how humans develop motor skills by interacting with physical world. This paper introduces DEXBOT, an exploratory framework for designing construction robots capable of high dexterity using embodied AI principles that mimics human strategies in complex tasks. The framework outlines six key perspectives for solving high-dexterity tasks with embodied AI: scene understanding, localization and motion planning, position-based control, force-based control, sequence planning, and correction decision-making. By presenting preliminary test cases for each perspective, the paper emphasizes the role of embodied AI in advancing dexterity level of construction robots. The DEXBOT framework is expected to encourage interdisciplinary collaboration of designing capable construction robots in the future.

Determinants of exclusive breastfeeding among Chinese mothers in the first 6 months

Background/Aims Exclusive breastfeeding duration remains suboptimal among Chinese mothers. Understanding the factors that influence exclusive breastfeeding is essential for developing targeted interventions to promote breastfeeding practices. This study aimed to identify determinants of exclusive breastfeeding in the first 6 months after birth in Xuzhou City, China. Methods This prospective study enrolled 178 mothers, using structured questionnaires for data collection. Subsequent analysis used multiple linear regression to explore factors associated with exclusive breastfeeding duration. Results On average, participants exclusively breastfed for 67 days. Influencing factors included breastfeeding intention, perception of insufficient milk and maternity leave. Conclusions Targeted interventions have the potential to prolong exclusive breastfeeding duration, such as ensuring women develop accurate perceptions of their breast milk supply and extending maternity leave. Implementing these interventions is crucial to achieving the target of 6 months of exclusive breastfeeding, consequently contributing to optimal health benefits for mother–infant dyads in China.

That's not what my app says: Perceptions of accuracy, consistency, and trust in weather apps

AbstractThe usage of weather apps for forecast information has increased dramatically over the last 10–15 years. Ensuring that consumers value and trust weather apps is important to the integrity of weather forecasting. Public perception of weather app forecast accuracy and consistency undergirds the apps' value and trustworthiness. With app forecasts being interpreted solely by the app user, misunderstanding and consequent false expectations could jeopardize the public's perception of accuracy and consistency. Furthermore, weather apps often offer excessively—and potentially unrealistically—detailed forecasts on time and spatial scales, extending far into the future without sufficient disclaimers regarding the confidence level associated with such detailed forecasts. A survey of the public found perceived app accuracy and consistency to be positively correlated with the trust in an app. Participants indicated that they take at least modest consideration of uncertainty and spatial variability when assessing specific and longer range forecasts. On average, participants had low to moderate confidence in forecasts beyond 10 days, and a significant majority did not perceive a precipitation forecast as inaccurate, even when no rain occurred at their location, as long as it rained nearby. We tested for misinterpretation using a common expression of uncertainty in weather apps, namely probability of precipitation (PoP). A majority of participants made a correct interpretation of the two PoP values given, although, depending on the percentage, some misinterpreted the values as indicating precipitation intensity, totals, or duration. Overall, these findings offer encouragement for a society heavily reliant on weather apps while also encouraging more research on weather information interpretation.

Visual-articulatory cues facilitate children with CIs to better perceive Mandarin tones in sentences

Children with cochlear implants (CIs) face challenges in tonal perception under noise. Nevertheless, our previous research demonstrated that seeing visual-articulatory cues (speakers’ facial/head movements) benefited these children to perceive isolated tones better, particularly in noisy environments, with those implanted earlier gaining more benefits. However, tones in daily speech typically occur in sentence contexts where visual cues are largely reduced compared to those in isolated contexts. It was thus unclear if visual benefits on tonal perception still hold in these challenging sentence contexts. Therefore, this study tested 64 children with CIs and 64 age-matched NH children. Target tones in sentence-medial position were presented in audio-only (AO) or audiovisual (AV) conditions, in quiet and noisy environments. Children selected the target tone using a picture-point task. The results showed that, while NH children did not show any perception difference between AO and AV conditions, children with CIs significantly improved their perceptual accuracy from AO to AV conditions. The degree of improvement was negatively correlated with their implantation ages. Therefore, children with CIs were able to use visual-articulatory cues to facilitate their tonal perception even in sentence contexts, and earlier auditory experience might be important in shaping this ability.

Behavioral Precursors of Nicotine Product Use Trajectories Among Youth

IntroductionPreventing nicotine use among youth is a public health priority. Nicotine use emerges from complex relationships between numerous factors. This project used network analysis to model behavioral precursors of nicotine use (knowledge, attitudes, perceptions, intentions) among youth who had never used nicotine and determine which predicted future trajectories of use across multiple nicotine products. MethodsData were from the Population Assessment of Tobacco and Health study (2013-2018; analyzed 2023-2024), youth ages 12-17, who reported never using nicotine at Wave 1. Network structure was determined for behavioral precursors at Wave 1 and central network nodes were identified (N=5087). Central nodes were then tested as predictors of trajectories of use across multiple nicotine products during Waves 1-4 (N=3851). ResultsCentral nodes of the Wave 1 network were harm perception, expectancy that tobacco would calm anger/reduce stress, and intention to try. Those with lower intent to try at Wave 1 had lower odds of being in an Experimentation or Use class vs a Nonuse class during Waves 1-4 (p<.0001). Those with more accurate harm perception had lower odds of being in an Experimentation vs Non-use class (p=.004). Those with positive expectancies had higher odds of being in an Experimentation vs Non-use or Use class (p=.04,.02). ConclusionsFindings suggest a network model of behavioral precursors of nicotine use that can be tested, including central nodes that predicted trajectories of use across multiple nicotine products, and therefore may be priority intervention targets.