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821.
Spectators can engage in high levels of verbal aggression toward youth hockey officials. Often, the perpetrators of this aggression are the parents. Our aim was to test the motivational factors involved in explaining why hockey parents sometimes take things too far and engage in verbally aggressive behavior toward officials. We reasoned that verbal aggression toward officials would be a function of two forms of motivational imbalance. First, in line with the dualistic model of passion, we hypothesized that verbal aggression would be positively associated with hockey parents’ obsessive passion, an imbalanced form of passion. Also, based on the compensatory model of passion, we predicted that obsessive passion would be associated with imbalanced psychological need satisfaction involving high need satisfaction from being a hockey parent, but low global need satisfaction. We administered online surveys to Canadian hockey parents (N = 992) assessing their verbal aggression toward officials, passion for being a hockey parent, and psychological need satisfaction from being a hockey parent and in general. Using structural equation modeling, we found support for a model in which high need satisfaction from being a hockey parent and low need satisfaction in general were associated with obsessive passion. Obsessive passion, in turn, was associated with greater verbal aggression toward referees. These findings help reveal why some hockey parents insult, threaten, and engage in other forms of verbal aggression toward officials. They also highlight the importance of maintaining motivational balance among sport parents. 相似文献
822.
Catherine E. Draper Caylee J. Cook Steven J. Howard Hleliwe Makaula Rebecca Merkley Mbulelo Mshudulu Nosibusiso Tshetu Gaia Scerif 《Infant and child development》2023,32(3):e2417
This qualitative study explored caregivers' perceptions of factors influencing early childhood development in low-income, urban South African settings, from a social ecological perspective. Individual interviews were conducted with 15 caregivers of 3–5-year-old children; a reflexive thematic analysis approach was adopted. In the family and home context, caregivers spoke about their role in developing, nurturing, providing, protecting and disciplining their children. Risks included low socioeconomic status, dysfunctional relationships and caregiver mental health; resources related to early learning and social support. In the preschool/school context, caregivers discussed the value of early learning, and priorities for selecting early childhood care and education settings. Community risks included violence and crime; resources mentioned were social support, community programmes and infrastructure. The social ecological model provides a holistic and contextually relevant perspective for understanding multiple factors (risks and protective factors) influencing early childhood development in low-income South African settings. 相似文献
823.
Bogdana Humă 《Social and Personality Psychology Compass》2023,17(6):e12755
Across the social sciences, there is a wealth of research on the role of language in persuasion in interpersonal communication. Most of these studies have been conducted in laboratories using experimental methods, have taken a social cognitive perspective, and have focused on the effects of particular linguistic practices on how persuasive messages are understood, processed, and ultimately complied with. By contrast, less attention has been paid to how language can be used to create sequential, interactional, and social obligations, in everyday interactions, like sales encounters or business negotiations, where persuasion occurs naturally and is built into the fabric of the conversation. In reviewing the former approach to studying language and persuasion, in this paper, I highlight several critical shortcomings. Then, I argue that, when studying naturally occurring persuasion-in-interaction, a discursive psychological approach is better suited for investigating and theorising the interactional structures underpinning persuasion and the role of language therein. 相似文献
824.
We examined the efficacy of a Model Statement to detect opinion lies. A total of 93 participants discussed their opinion about the recent strikes on two occasions, 1 week apart. In one interview they told the truth and in the other interview they lied. Each interview consisted of two phases. In Phase 1 they discussed their alleged opinion (truth or lie as appropriate). They then either listened to a Model Statement (a detailed account of someone discussing an opinion about a topic unrelated to strike actions) and expressed their opinion again in Phase 2 (Model Statement present condition) or they discussed their opinion again without listening to a Model Statement (Model Statement absent condition). The verbal cues examined were pro-opinion arguments, anti-opinion arguments, plausibility, immediacy, directness, clarity, and predictability. The truthful statements sounded more plausible in Phases 1 and 2 than the deceptive statements, providing further evidence that plausibility is a strong veracity indicator. The truthful statements included more pro-arguments and sounded more immediate and direct than the deceptive statements, but only in Phase 2. The Model Statement had no effect. Reasons for the Model Statement null-effect are discussed. 相似文献
825.
Siwei Liu;Di Jody Zhou; 《The British journal of mathematical and statistical psychology》2024,77(2):337-355
Vector autoregressive (VAR) modelling is widely employed in psychology for time series analyses of dynamic processes. However, the typically short time series in psychological studies can lead to overfitting of VAR models, impairing their predictive ability on unseen samples. Cross-validation (CV) methods are commonly recommended for assessing the predictive ability of statistical models. However, it is unclear how the performance of CV is affected by characteristics of time series data and the fitted models. In this simulation study, we examine the ability of two CV methods, namely,10-fold CV and blocked CV, in estimating the prediction errors of three time series models with increasing complexity (person-mean, AR, and VAR), and evaluate how their performance is affected by data characteristics. We then compare these CV methods to the traditional methods using the Akaike (AIC) and Bayesian (BIC) information criteria in their accuracy of selecting the most predictive models. We find that CV methods tend to underestimate prediction errors of simpler models, but overestimate prediction errors of VAR models, particularly when the number of observations is small. Nonetheless, CV methods, especially blocked CV, generally outperform the AIC and BIC. We conclude our study with a discussion on the implications of the findings and provide helpful guidelines for practice. 相似文献
826.
Driving simulators have become an important tool in human factors research, given that they are appropriately validated. Therefore, this study aims to explore the behavioral (absolute and relative) validity of a fixed-base driving simulator by analyzing different driving behavior measures such as speed, longitudinal acceleration, lateral acceleration, and brake pedal force. Thirty professional drivers participated in the experiment and the data was collected in real and simulated worlds under No Time Pressure (NTP) and Time Pressure (TP) driving conditions. Initially, comparative analyses were conducted on different driving behavior measures using Wilcoxon-signed rank test to examine absolute validity of the driving simulator. Finally, Generalized Linear Mixed (GLM) models were developed for computing the effective distance between real and simulated worlds by quantifying the parameters and for establishing relative validity. In general, the continuous profiles of driving behavior measures followed similar trends in real and simulated worlds and comparative analyses indicated relative validity of the driving simulator. The GLM models showed significant interaction effect of driving environments (real-world and simulated world) and driving conditions (NTP and TP) where high driving speed, high brake pedal force, and low lateral acceleration were observed in simulated world under TP driving condition than real-world under TP driving condition. Overall, the statistical analyses showed qualitative correspondence (relative validity) of the driving behavior measures in between real and simulated worlds. The findings from the current study showed expediency of the driving simulator and its effectiveness in conducting research on human factors and driver safety. 相似文献
827.
Existing driver models mainly account for drivers’ responses to visual cues in manually controlled vehicles. The present study is one of the few attempts to model drivers’ responses to auditory cues in automated vehicles. It developed a mathematical model to quantify the effects of characteristics of auditory cues on drivers’ response to takeover requests in automated vehicles. The current study enhanced queuing network-model human processor (QN-MHP) by modeling the effects of different auditory warnings, including speech, spearcon, and earcon. Different levels of intuitiveness and urgency of each sound were used to estimate the psychological parameters, such as perceived trust and urgency. The model predictions of takeover time were validated via an experimental study using driving simulation with resultant R squares of 0.925 and root-mean-square-error of 73 ms. The developed mathematical model can contribute to modeling the effects of auditory cues and providing design guidelines for standard takeover request warnings for automated vehicles. 相似文献
828.
Shared autonomous vehicles (SAVs) are one of the important development directions of smart and green transportation. However, relevant researches are not sufficient at present. The factors influencing the intention to use SAVs and their parking choice behaviors need to be further analyzed. First, in order to better explain, predict, and improve travelers’ intention to use SAVs, the conceptual framework based on technology acceptance model was developed to establish the relationships between the travelers’ intention to use SAVs, social influence of SAVs, attitude toward behavior of SAVs, perceived risk of SAVs, perceived usefulness of SAVs and perceived ease of these use. Then structural equation model (SEM) was established to analyze the relationship between various variables. The results show that the perceived usefulness, behavior attitude, social influence, perceived ease of use, and perceived risk are the main factors that determine the intention to use SAVs. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on intention to use SAVs, with a standardized coefficient of 0.765, followed by behavior attitude (0.732), social influence (0.597), perceived ease of use (0.462) and perceived risk of SAVs (−0.452). In addition, through the study of observed indicator variables ATB2 and BI3, it is found that perceived usefulness, perceived ease of use, social influence, perceived risk, attitude toward behavior, and behavior intention all have an impact on parking behavior. In order to study the specific influencing factors of parking choice behavior, a multinomial logit (MNL) model was established to analyze the relationships between travelers’ parking choice behaviors and the influential factors, which include travelers’ individual characteristics, travel attributes, and parking modes’ attributes by extracting from a questionnaire. The results show that the travel time, travel fees, parking charge, cruising fees, parking time and traffic emission are the main factors that determine travelers’ choices of parking. This paper provides advice for operators of SAVs. 相似文献
829.
Memory and learning are essential functions in human beings as they allow us to acquire and store in the brain representations of thoughts, experiences, and behaviors, which are required for problem-solving in our daily life and mainly for survival. Episodic memory is a type of memory that provides the ability to re-experience events in one’s life, and it is associated with their conscious recollection. Since episodic memory can represent our experiences about the environment, similar to a mental journey, it is desired in systems that attempt to create human-like behavior. Currently, the main problem is that state of the art proposals do not consider neuroscientific evidence like memory dynamics for forgetting or bottom-up inputs, and most of them do not consider episodic memory as a different memory but as part of general declarative memory. We consider these omissions to limit the generation of human-like behavior. In this work, we propose a bio-inspired cognitive architecture of episodic memory. Neuroscientific evidence provides us with the brain structures associated with this type of memory, the connections, and the operations these areas perform. We hypothesize that virtual entities endowed with our episodic memory cognitive architecture will plan and make decisions in a more human-like fashion. To test the capabilities of the proposal, we endowed a virtual creature with a distributed and concurrent implementation of our architecture, and it was given two tasks. The first task validated the functions of the memory independently, and in the second task, the creature used episodic memory to solve a planning problem. From the results of these experiments, we validate our proposal and show that it is possible to create a system that behaves as the human brain does. 相似文献
830.
Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organization is created, which after its formation can then be adopted by individuals. This provides mechanisms for organizational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study. 相似文献