Familiarization Phase Research Articles

The Effect of Continuous Care Model Based Education on Quality of Life, Sleep Quality, and Fatigue in Patients Undergoing Coronary Artery Bypass Surgery

ABSTRACT Background Postoperative care strategies, such as self-care education and cardiac rehabilitation, are critical in mitigating readmissions and enhancing patient outcomes following Coronary Artery Bypass Surgery. Purpose The purpose of this study was to design and develop a program that leads to acceptance, increased insight, and appropriate action to control the disease and its potential psychological complications. Methods This randomized control trial involved 140 patients scheduled for coronary artery bypass surgery at a rehabilitation clinic in 2023. The intervention followed the Continuous Care Model, encompassing familiarization, sensitization, control, and evaluation phases. Results Post-intervention, the intervention group exhibited a significantly higher mean quality of life score than the control group (p < .001). Furthermore, a notable difference in mean sleep quality scores between the control and intervention groups was observed post-intervention (p = .026). Discussion Patient education based on the Continuous Care Model effectively enhances quality of life sleep and reduces fatigue in patients undergoing coronary artery bypass surgery. Translation to Health Education Practice The study provides empowerment through patient and family education on self-care practices. Implementing of the Continuous Care Model as a non-invasive, cost-effective method can be considered in the patient education unit of hospitals.

Effects of flossing technique on ankle mobility and vertical jump performance

ContextFlossing may report benefits on range of motion. However, it's unknown whether flossing using pneumatic tourniquets may influence performance in bilateral countermovement jumping tests. ObjectiveTo analyze the acute effects induced by a flossing protocol with a pneumatic tourniquet placed at the intermalleolar level on jumping ability in basketball players.Study design: cross-sectional study. Methods54 basketball players (mean (SD) 17.16 (1.27) years; 22.23 (1.99) kg/m2) from a professional club were recruited. After a familiarization phase, a pressurized cuff (continuous pressure at 180 mmHg) was placed at the intermalleolar level for 2 min performing plantar and dorsal flexion movements without load. The Leg Motion test and the Countermovement jump were used to measure ankle dorsiflexion and vertical jump height. ResultsAfter the intervention, a significant ankle dorsiflexion improvement was observed in the left leg in males (12.48 (5.08) vs. 13.44 (5.23) cm, p < 0.05) and in both ankles in females (right: 9.59 (3.29) vs. 10.74 (3.34) cm, p < 0.05; left: 9.91 (2.77) vs. 10.96 (2.57) cm, p < 0.05). However, the intervention showed no significant difference in bilateral jumping ability in neither group (p > 0.05). ConclusionsThe application of intermalleolar flossing using pneumatic tourniquet in elite basketball players did not interfere in jumping ability, and it may improve ankle range of motion. These findings may help clinicians make decisions in practice.

Theory of strain phase equilibria and diagrams

Chemical phase equilibria and phase diagrams are well established and have served as indispensable guides for designing materials through chemical tuning. However, a general thermodynamic theory for strain phase equilibria remains elusive despite extensive studies which have revealed dramatic impacts of mechanical strain on the stability of phases and domain states in solid-state materials. Here, we establish the thermodynamic theory of strain equilibria and a general framework for efficiently constructing multidomain and multiphase diagrams of arbitrarily strained solids under incoherent conditions. As examples, we obtain temperature-strain phase diagrams of ferroelectric PbTiO3, strongly correlated VO2, and unconventional ferroelectric Hf0.5Zr0.5O2. We reveal the analogs of the Gibbs phase rules, multiple- and multi-critical points, common-tangent construction, and level rule in strain equilibria to those in the familiar chemical phase equilibria. Our strain equilibria theory offers a powerful framework for predicting the thermodynamic stability of structural phases and domains in strained solids and for guiding the strain engineering of their functional properties.

Application of Model Averaging for Measurement in the Presence of Unknown Familiarization Phase or Fatigue Phase

ABSTRACT A number of familiarization trials are needed for reliable measurement, particularly for inexperienced subjects. Researchers have studied and developed familiarization protocols that vary by exercise and study population. The pace of familiarization and fatigue may be an individual-level characteristic, so a population-level protocol may not fit all subjects. In this article, the authors view this practical challenge as a statistical problem. We apply piecewise linear regression and model averaging for estimating the true performance level of a subject after familiarization and before fatigue. This statistical method does not require an experimenter to determine when a study participant is familiarized and fatigued. Simulation studies demonstrate that this statistical approach provides a more reliable measurement than the best-fit model. An online interactive applet is provided for those who are not familiar with statistical programming. Detailed instructions for the applet and case study are provided for demonstration.

A Study on Social Inclusion of Humanoid Robots: A Novel Embodied Adaptation of the Cyberball Paradigm

As social robots are being built with the aim of employing them in our social environments, it is crucial to understand whether we are inclined to include them in our social ingroups. Social inclusion might depend on various factors. To understand if people have the tendency to treat robots as their in-group members, we adapted a classical social psychology paradigm, namely the “Cyberball game”, to a 3-D experimental protocol involving an embodied humanoid robot. In our experiment, participants played the ball-tossing game with the iCub robot and another human confederate. In our version, the human confederate was instructed to exclude the robot from the game. This was done to investigate whether participants would re-include the robot in the game. In addition, we examined if acquired technical knowledge about robots would affect social inclusion. To this aim, participants performed the Cyberball twice, namely before and after a familiarization phase when they were provided with technical knowledge about the mechanics and software related to the functionality of the robot. Results showed that participants socially re-included the robot during the task, equally before and after the familiarization session. The familiarization phase did not affect the frequency of social inclusion, suggesting that humans tend to socially include robots, independent of the knowledge they have about their inner functioning.

Do dogs preferentially encode the identity of the target object or the location of others’ actions?

The ability to make sense of and predict others’ actions is foundational for many socio-cognitive abilities. Dogs (Canis familiaris) constitute interesting comparative models for the study of action perception due to their marked sensitivity to human actions. We tested companion dogs (N = 21) in two screen-based eye-tracking experiments, adopting a task previously used with human infants and apes, to assess which aspects of an agent’s action dogs consider relevant to the agent’s underlying intentions. An agent was shown repeatedly acting upon the same one of two objects, positioned in the same location. We then presented the objects in swapped locations and the agent approached the objects centrally (Experiment 1) or the old object in the new location or the new object in the old location (Experiment 2). Dogs’ anticipatory fixations and looking times did not reflect an expectation that agents should have continued approaching the same object nor the same location as witnessed during the brief familiarization phase; this contrasts with some findings with infants and apes, but aligns with findings in younger infants before they have sufficient motor experience with the observed action. However, dogs’ pupil dilation and latency to make an anticipatory fixation suggested that, if anything, dogs expected the agents to keep approaching the same location rather than the same object, and their looking times showed sensitivity to the animacy of the agents. We conclude that dogs, lacking motor experience with the observed actions of grasping or kicking performed by a human or inanimate agent, might interpret such actions as directed toward a specific location rather than a specific object. Future research will need to further probe the suitability of anticipatory looking as measure of dogs’ socio-cognitive abilities given differences between the visual systems of dogs and primates.

Impact of language familiarity on abstract pattern recognition in 9- to 12-month-old infants

Previous studies found an impact of language familiarity on face recognition in 9- and 12-month-olds. Own race faces are better recognized when associated with native language, whereas for other race faces, it is with non-native language. The aim of this study is to investigate if language familiarity can also influence abstract pattern recognition. We tested 9- to 12-month-old monolingual infants with a visual paired-comparison task. During a 30-s familiarization phase, infants were shown an image of abstract patterns associated with an auditory soundtrack of a speaker reciting a story either in their native (French) or in a non-native language (German). After the familiarization, the familiar and a new abstract pattern were displayed side by side for the recognition test. We found a significant preference for the novel object in the native language condition but not in the non-native condition. These results suggest that language familiarity effects on infant memory are not specific to faces but also influence, on a larger scale, how infants process their immediate visual environment.

Contextual Priors Shape Action Understanding before and beyond the Unfolding of Movement Kinematics.

Previous studies have shown that contextual information may aid in guessing the intention underlying others' actions in conditions of perceptual ambiguity. Here, we aimed to evaluate the temporal deployment of contextual influence on action prediction with increasing availability of kinematic information during the observation of ongoing actions. We used action videos depicting an actor grasping an object placed on a container to perform individual or interpersonal actions featuring different kinematic profiles. Crucially, the container could be of different colors. First, in a familiarization phase, the probability of co-occurrence between each action kinematics and color cues was implicitly manipulated to 80% and 20%, thus generating contextual priors. Then, in a testing phase, participants were asked to predict action outcome when the same action videos were occluded at five different timeframes of the entire movement, ranging from when the actor was still to when the grasp of the object was fully accomplished. In this phase, all possible action-contextual cues' associations were equally presented. The results showed that for all occlusion intervals, action prediction was more facilitated when action kinematics deployed in high- than low-probability contextual scenarios. Importantly, contextual priors shaped action prediction even in the latest occlusion intervals, where the kinematic cues clearly unveiled an action outcome that was previously associated with low-probability scenarios. These residual contextual effects were stronger in individuals with higher subclinical autistic traits. Our findings highlight the relative contribution of kinematic and contextual information to action understanding and provide evidence in favor of their continuous integration during action observation.

Words and arbitrary actions in early object categorization: weak evidence for a word advantage.

Both words and gestures have been shown to influence object categorization, often even overriding perceptual similarities to cue category membership. However, gestures are often meaningful to infants while words are arbitrarily related to an object they refer to, more similar to arbitrary actions that can be performed on objects. In this study, we examine how words and arbitrary actions shape category formation. Across three conditions (word cue, action cue, word-action cue), we presented infants (N = 90) with eight videos of single-category objects which vary in colour and other perceptual features. The objects were either accompanied by a word and/or an action that is being performed on the object. Infants in the word and action condition showed a decrease in looking over the course of the familiarization phase indicating habituation to the category, but infants in the word-action condition did not. At test, infants saw a novel object of the just-learned category and a novel object from another category side-by-side on the screen. There was some evidence for an advantage for words in shaping early object categorization, although we note that this was not robust across analyses.

Application of metric space method in quantum information in quasi-periodic systems

Due to the rapid advancement of quantum information theory, some concepts such as fidelity and entanglement entropy have been introduced into the study of quantum phase transitions, which can be used not only to identify novel matter phases but also to detect the critical point and describe the critical behavior of the quantum phase transitions. From the point of view of the metric space, these physical quantities can be understood as the distance between the two functions in the metric space. In this work, we study a class of quasi-periodic system represented by the generalized Aubry-André-Harper (AAH) model, by using the distance between various wavefunctions or density distribution functions in real space. The generalized AAH model, an ideal platform to understand Anderson localization and other novel quantum phenomena, provides rich phase diagrams including extended, localized, even critical (multifractal) phases and can be realized in a variety of experimental platforms. In the standard AAH model, we find that the extended and localized phases can be identified. In addition, there exists a one-to-one correspondence between two distinct distances. We are able to precisely identify the critical point and compute the critical exponent by fitting the numerical results of different system sizes. In the off-diagonal AAH model, a complete phase diagram including extended phase, localized phase, and critical phase is obtained and the distance of critical phases is intermediate between the localized phase and extended phase. Meanwhile, we apply the metric space method to the wave packet propagation and discover that depending on the phase, the distance between wave functions or density functions exhibits varying dynamical evolution behavior, which is characterized by the exponent of the power-law relationship varying with time. Finally, the distance between the state density distribution functions is proposed, and it effectively identifies distinct matter phases and critical points. The critical phase which displays a multifractal structure, when compared with the other two phases, has the large state density distribution function distance. In a word, by defining the distances of a function under different parameters, we provide not only a physical quantity to identify familiar phase transitions but also an intuitive way to identify different matter phases of unknown systems, phase transition points, and their critical behaviors.

Strategic partnerships for ensuring environmental compliance in business

The article systematically examines and thoroughly explores strategic partnerships as a means of ensuring environmental compliance in the business sector. The work is dedicated to the consideration of key aspects of environmental compliance and its impact on enterprises in the context of interaction with various stakeholders. The concept of environmental compliance in the context of strategic partnerships is investigated, revealing its essence and determining its significance in the contemporary business environment. Environmental compliance is defined as a system of commitments aimed at compliance with legislation and standards in the field of nature and environmental protection. Drawing upon the global aspect of this issue, directions for strategic partnership actions are proposed, taking into account sustainable development goals. Key performance indicators for evaluating the effectiveness of implemented actions are provided for each of the identified directions. Special attention is given to the stages of environmental compliance development. Stages are defined, ranging from the initial phase of familiarization to more complex systematic approaches, helping organizations understand the stage of their environmental strategy development, identify key obstacles and challenges faced by enterprises in implementing environmental compliance. Knowledge of the stages of development enables the implementation of systematic environmental compliance management, including planning, implementation, and monitoring at different stages. It allows adapting environmental compliance strategies to changes in legislation, social requirements, and technological innovations. Key steps and strategies for enterprises to achieve and maintain a high level of environmental responsibility are identified. This aspect allows for a comprehensive consideration of the dynamics and step-by-step development of environmental compliance in the context of strategic partnerships. A detailed analysis of the role of strategic partnerships in ensuring environmental compliance in business is conducted. The positive impact of strategic partnerships on the formation of sustainable environmental practices is demonstrated, along with the identification of factors that contribute to successful interaction with stakeholders and the resolution of environmental challenges. The overall concept of the article highlights the importance of strategic partnerships as an effective instrument for enterprises to achieve and maintain environmental compliance. The research results can serve as a basis for formulating recommendations and strategies aimed at improving the sustainability and responsibility of businesses in the environmental dimensions.

Penerapan Program Literasi Numerasi Pada Pemecahan Masalah Matematika Kelas V Studi Kasus Di MIN 2 Mojokerto

Numeracy literacy can help improve counting with examples of problems that exist in everyday life. Thus, it can be seen that the existence of analytic knowledge has an important meaning in learning mathematics in order to reason and help students solve problems. The purpose of this study is to describe and analyze the factors that support and hinder the implementation of the digital literacy program to solve the problems of grade 5 students in the MIN case study. 2 Mojokerto. This research method uses a qualitative approach to data collection, using observation, interview, and note-taking techniques. Thus, it can be concluded that the implementation of this digit literacy program has been done well, which can help improve the math problem-solving ability of 5th-grade students through 3 steps, which is the familiarization phase with the activity. Read aloud 15 minutes before studying. beginning, the development phase of literacy activities, where students have the opportunity to present the results of group discussions to develop student skills, and the stage where teachers learn using interesting concepts and strategies so that students can complete material taught through arithmetic knowledge.

Infants' fast neural categorization of artificial objects: The impact of stimulus and task characteristics.

This study explores how 7-month-old infants categorize graphical images varying in basic perceptual features by using a fast periodic visual stimulation (FPVS) task. Most participants were Caucasian and their parents had a higher education, but the family's socioeconomic background was mixed. Experiment 1 (N = 23) tested brain responses to configurational versus scrambled image sequences and found an oddball effect for both conditions, with configurational information leading to stronger neural responses. Experiment 2 explored the role of category learning for later FPVS performance: Group A (control; n = 22) participated in the FPVS categorization task only. Group B (fam; n = 21) was first familiarized with standard exemplars. Group C (fam + contrast; n = 29) was presented an additional exemplar of the contrasting category before the FPVS task. Electroencephalogram analyses revealed a decrease in Nc amplitude (measuring attention) throughout the familiarization phase. Long looking at the out-of-category exemplar in Group C indicated infants' visual interest. Brain responses in the subsequently presented FPVS were strong but did not differ between groups. This highlights the ability of the infant brain to organize perceptual input very rapidly without requiring familiarization but also points to the need for further studies exploring brain processes associated with infants' category learning and categorization at the brain level. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The effect of load on spatial statistical learning

Statistical learning (SL), the extraction of regularities embedded in the environment, is often viewed as a fundamental and effortless process. However, whether spatial SL requires resources, or it can operate in parallel to other demands, is still not clear. To examine this issue, we tested spatial SL using the standard lab experiment under concurrent demands: high- and low-cognitive load (Experiment 1) and, spatial memory load (Experiment 2) during the familiarization phase. We found that any type of high-load demands during the familiarization abolished learning. Experiment 3 compared SL under spatial low-load and no-load. We found robust learning in the no-load condition that was dramatically reduced in the low-load condition. Finally, we compared a no-load condition with a very low-load, infrequent dot-probe condition that posed minimal demands while still requiring attention to the display (Experiment 4). The results showed, once again, that any concurrent task during the familiarization phase largely impaired spatial SL. Taken together, we conclude that spatial SL requires resources, a finding that challenges the view that the extraction of spatial regularities is automatic and implicit and suggests that this fundamental learning process is not as effortless as was typically assumed. We further discuss the practical and methodological implications of these findings.

Higher-form subsystem symmetry breaking: Subdimensional criticality and fracton phase transitions

Subsystem symmetry has emerged as a powerful organizing principle for unconventional quantum phases of matter, most prominently fracton topological orders. Here, we focus on a special subclass of such symmetries, known as higher-form subsystem symmetries, which allow us to adapt tools from the study of conventional topological phases to the fracton setting. We demonstrate that certain transitions out of familiar fracton phases, including the X-cube model, can be understood in terms of the spontaneous breaking of higher-form subsystem symmetries. We find simple pictures for these seemingly complicated fracton topological phase transitions by relating them in an exact manner, via gauging, to spontaneous higher-form subsystem symmetry breaking phase transitions of decoupled stacks of lower-dimensional models. We harness this perspective to construct a sequence of unconventional subdimensional critical points in two and three spatial dimensions based on the stacking and gauging of canonical models with higher-form symmetry. Through numerous examples, we illustrate the ubiquity of coupled layer constructions in theories with higher-form subsystem symmetries.

Intersensory redundancy impedes face recognition in 12-month-old infants.

This study examined the role of intersensory redundancy on 12-month-old infants' attention to and processing of face stimuli. Two experiments were conducted. In Experiment 1, 72 12-month-olds were tested using an online platform called Lookit. Infants were familiarized with two videos of an actor reciting a children's story presented simultaneously. A soundtrack either matched one of the videos (experimental condition) or neither of the videos (control condition). Visual-paired comparison (VPC) trials were completed to measure looking preferences for the faces presented synchronously and asynchronously during familiarization and for novel faces. Neither group displayed looking preferences during the VPC trials. It is possible that the complexity of the familiarization phase made the modality-specific face properties (i.e., facial characteristics and configuration) difficult to process. In Experiment 2, 56 12-month-old infants were familiarized with the video of only one actor presented either synchronously or asynchronously with the soundtrack. Following familiarization, participants completed a VPC procedure including the familiar face and a novel face. Results from Experiment 2 showed that infants in the synchronous condition paid more attention during familiarization than infants in the asynchronous condition. Infants in the asynchronous condition demonstrated recognition of the familiar face. These findings suggest that the competing face stimuli in the Experiment 1 were too complex for the facial characteristics to be processed. The procedure in Experiment 2 led to increased processing of the face in the asynchronous presentation. These results indicate that intersensory redundancy in the presentation of synchronous audiovisual faces is very salient, discouraging the processing of modality-specific visual properties. This research contributes to the understanding of face processing in multimodal contexts, which have been understudied, although a great deal of naturalistic face exposure occurs multimodally.

Predicting Adherence to Home-Based Cardiac Rehabilitation with Data-Driven Methods

Cardiac rehabilitation (CR) focuses on the improvement of health or the prevention of further disease progression after an event. Despite the documented benefits of CR programs, the participation remains suboptimal. Home-based CR programs have been proposed to improve uptake and adherence. The goal of this study was to apply an end-to-end methodology including machine learning techniques to predict the 6-month adherence of cardiovascular disease (CVD) patients to a home-based telemonitoring CR program, combining patients’ clinical information with their actual program participation during a short familiarization phase. Fifty CVD patients participated in such a program for 6 months, enabling personalized guidance during a phase III CR study. Clinical, fitness, and psychological data were measured at baseline, whereas actual adherence, in terms of weekly exercise session duration and patient heart rate, was measured using wearables. Hierarchical clustering was used to identify different groups based on (1) patients’ clinical baseline characteristics, (2) exercise adherence during the familiarization phase, and (3) the whole program adherence, whereas the output of the clustering was determined using repetitive decision trees (DTs) and random forest (RF) techniques to predict long-term adherence. Finally, for each cluster of patients, network analysis was applied to discover correlations of their characteristics that link to adherence. Based on baseline characteristics, patients were clustered into three groups, with differences in behavior and risk factors, whereas adherent, non-adherent, and transient adherent patients were identified during the familiarization phase. Regarding the prediction of long-term adherence, the most common DT showed higher performance compared with RF (precision: 80.2 ± 19.5% and 71.8 ± 25.8%, recall: 94.5 ± 14.5% and 71.8 ± 25.8% for DT and RF accordingly). The analysis of the DT rules and the analysis of the feature importance of the RF model highlighted the significance of non-adherence during the familiarization phase, as well as that of the baseline characteristics to predict future adherence. Network analysis revealed different relationships in different clusters of patients and the interplay between their behavioral characteristics. In conclusion, the main novelty of this study is the application of machine learning techniques combining patient characteristics before the start of the home-based CR programs with data during a short familiarization phase, which can predict long-term adherence with high accuracy. The data used in this study are available through connected health technologies and standard measurements in CR; thus, the proposed methodology can be generalized to other telerehabilitation programs and help healthcare providers to improve patient-tailored enrolment strategies and resource allocation.

As trials go by: Effects of 2-AFC item repetition on statistical learning performance.

One of the most popular tasks used to test statistical learning (SL) involves asking participants to identify which of two stimuli, a triplet presented during the previous familiarization phase versus a new sequence made of the same stimuli never presented together, is more familiar based on the stream presented before, that is, to perform a two-alternative forced-choice (2-AFC) task. Despite the widespread use of this task, it has come under increasing criticism in current cognitive research due to psychometric flaws. A common practice to improve SL measurement involves increasing the number of 2-AFC trials by presenting the same items (triplets and foils) several times during the test phase. This work aimed to directly analyze the effect that this practice entails by examining how the proportion of correct discriminations of three-syllable nonsense words presented during the familiarization phase of an auditory triplet embedded task changed as the number of 2-AFC item repetitions increased. We also tested whether this effect was modulated by the predictability of the "words" embedded in the auditory streams (high and low) and the conditions under which they were presented to participants (implicit and explicit). Results showed that 2-AFC item repetitions had indeed detrimental effects on SL measurement, as indexed by a significant decrease in the proportion of correct discriminations as the number of items repetitions increased, both in the 2-AFC task performed under implicit and explicit conditions, although, in the first case, only for low-predictable "words." These findings recommend caution when using this strategy to improve SL measurement. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Production and perception of novel consonant clusters

The present study details a visual world paradigm eye tracking experiment on perception and production of novel consonant clusters. The clusters varied in difficulty based on sonority or perceptual salience scales. During the familiarization phase, listeners heard and watched a story on-screen and produced the names of novel creatures and objects. Each story focused on one cluster. Four creatures/objects were introduced corresponding to the (1) target cluster (e.g., [dlɑpɹ]), (2) epenthesized cluster competitor (e.g., [dəlɑkn]), (3) first cluster consonant (e.g., donkey), and (4) second cluster consonant (e.g., lollipop). During each trial, participants verbally identified one of the four creatures/objects, and their gaze was tracked. We analyzed the productions and gazes to investigate the relative difficulty of producing and perceiving the consonant clusters. We predicted participants would (1) correctly produce/perceive a cluster, (2) epenthesize a vowel/perceive vowel epenethesis, or (3) perceive/produce only one of the cluster sounds. We statistically analyzed the participants’ propensity toward each behavior in both production and perception. As part of the analysis, we examined whether participant behavior was better predicted by analyzing the clusters with the sonority sequencing principle or in terms of acoustic salience and cue recoverability.

Visual statistical learning based on time information.

People can extract and learn statistical regularities from various aspects of everyday life. The current study examined whether people have a mechanism to learn regularity based on time information and investigated whether sensitivity to time information is modulated by individual time management. In the familiarization phase, participants were required to observe a visual sequence of objects. Although the objects were presented in a random order, the amount of time for which the objects were presented was organized into successive triplets (e.g., 850-1,000-700 ms). In the subsequent test phase, two three-object sequences were presented. One sequence was a timing triplet that had temporal regularities. The other was a foil created from three different triplets. Participants were required to judge which sequence was more familiar based on the familiarization phase. The results showed that the triplets were successfully discriminated from the foils. These results were also observed for blank intervals. The current findings also revealed that although visual statistical learning was expressed when participants observed the temporal regularities of shapes tied to the corresponding durations during familiarization, this learning overshadowed them from indicating generic timing regularities when they were untied to objects. Furthermore, participants with high scores on the Time Management Scale showed a higher extent of visual statistical learning on object durations than those with low scores. These results suggest that people extract and learn regularities based on time information and that statistical learning based on time information is correlated with individual time management. (PsycInfo Database Record (c) 2023 APA, all rights reserved).