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191.
This special issue presents the theory of sociocultural models (TSCM) and its applications in diverse areas of psychology, including education, health care, clinical practice, gender relations, and general research. As many theories already exist in the social sciences, some readers may ask: “Why do cross‐cultural, cultural, and indigenous psychologists need another theory?” This question is comprised of two aspects: culture/cultural and theory/theoretical. Therefore, to answer it, it is important to clarify both issues. The first relates to cultural and its relation to psychological. The second, theory, considers its relation to cultural and psychological. These issues have long‐range implications for all culture and psychology disciplines as they pose many questions: What role does culture play in the mental functioning of people? How is culture constituted? Is cultural related to social? Does people’s mental functioning exert reciprocal influences on their cultural and social functioning? While working toward answering these questions, researchers quickly determine that more questions arise: What role should theories play in answering these questions? What constitutes theory in culture and psychology disciplines? How should such a theory (or such theories) address the triad of cultural, social, and mental? Consequently, in an effort to provide an overview of the TSCM and to begin to answer these questions, this introduction consists of two parts. The first part addresses the sociocultural turn in modern psychology; this part discusses its implications for research in culture and psychology disciplines. The second segment examines the topic of the theoretical backgrounds of cultural and cross‐cultural research and connects the philosophical paradigms of interpretivism and realism with the theory of sociocultural models. This introduction concludes with a brief overview of the articles included in this issue.  相似文献   
192.
Autonomous mobile robots emerged as an important kind of transportation system in warehouses and factories. In this work, we present the use of MECA cognitive architecture in the development of an artificial mind for an autonomous robot responsible for multiple tasks, including transportation of packages along a factory floor, environment exploration, warehouse inventory, its internal energy management, self-monitoring and dealing with human operators and other robots. The present text provides a detailed specification for the architecture and its software implementation. Future work will present the simulation results under different configurations, together with a detailed analysis of the architecture performance and its generalization for autonomous robot control.  相似文献   
193.
The work demonstrates that brain might reflect the external world causal relationships in the form of a logically consistent and prognostic model of reality, which shows up as consciousness. The paper analyses and solves the problem of statistical ambiguity and provides a formal model of causal relationships as probabilistic maximally specific rules. We suppose that brain makes all possible inferences from causal relationships. We prove that the suggested formal model has a property of an unambiguous inference: from consistent premises we infer a consistent conclusion. It enables a set of all inferences to form a consistent model of the perceived world. Causal relationships may create fixed points of cyclic inter-predictable properties. We consider the “natural” classification introduced by John St. Mill and demonstrate that a variety of fixed points of the objects’ attributes forms a “natural” classification of the external world. Then we consider notions of “natural” categories and causal models of categories, introduced by Eleanor Rosch and Bob Rehder and demonstrate that fixed points of causal relationships between objects attributes, which we perceive, formalize these notions. If the “natural” classification describes the objects of the external world, and “natural” concepts the perception of these objects, then the theory of integrated information, introduced by G. Tononi, describes the information processes of the brain for “natural” concepts formation that reflects the “natural” classification. We argue that integrated information provides high accuracy of the objects identification. A computer-based experiment is provided that illustrates fixed points formation for coded digits.  相似文献   
194.
Evidence suggests high-intensity exercise results in a more negative affective response when compared to moderate- or low-intensity exercise. However, a large number of individuals continue participating in high-intensity exercise, in spite of these supposed declines in affective state.PurposeDetermine whether trait differences influence variability in exercise-affect for those with higher versus lower exercise intensity preference and/or tolerance, and determine the mediating relationship between traits, exercise behavior, and affective states.MethodsUndergraduates (N = 245, 20.3 ± 1.7 yrs, BMI = 23.7 ± 3.8, 60.8% female, 82% regular exercisers) completed the Preference for and Tolerance of the Intensity of Exercise Questionnaire. They then completed a 15-min high-intensity body-weight circuit (HIC), a walk, and a reading condition, where valence (via Feeling Scale), perceived physiological activation (via Felt Arousal Scale), and ratings of perceived exertion were taken prior to, every 3-min during, and 20-min post (P20) condition, while activity enjoyment was assessed immediately post.ResultsMultivariate ANOVAs revealed significant differences (ps < 0.05) in valence between those with high versus low intensity preferences during HIC at minutes 3 (d = 0.615), 6 (d = 0.772), 9 (d = 0.659), 12 (d = 0.625), 15 (d = 0.632), and at P20 (d = 0.554), and for enjoyment following HIC (d = 0.545), but not for walking or reading conditions.ConclusionsThese findings suggest the intensity-preference trait influences how an individual feels during high-intensity exercise, but has less influence on affect during moderate/lower intensity activities. These differences may be predictive of whether an individual will continue high-intensity exercise programming.  相似文献   
195.
ObjectivesThe aim of this study was to test whether achievement motive, autonomous forms of exercise motivation (intrinsic motivation, identified regulation), and controlled forms of exercise motivation (introjected regulation, external regulation) would predict gym attendance over 30 consecutive weeks in a sample of new gym members.DesignA longitudinal prospective study with four distinct measurement occasions was employed. Psychological variables and gym attendance were assessed in the first, fourth, 15th, and 30th week after starting the membership.MethodParticipants were 229 new gym members. The implicit achievement motive was measured using the Picture Story Exercise. The explicit achievement motive and exercise motivations were measured with questionnaires. Gym attendance was obtained via self-reports and also recorded electronically. Multilevel growth modeling was used as the main analysis method.ResultsParticipants overestimated their self-reported gym attendance; the overall gap between self-reported and actual attendance was 39%. The achievement motive did not predict participants’ gym attendance over the 30-week period, neither for self-reported nor for actual. The effect of autonomous motivation was mixed. Intrinsic motivation predicted self-reported, but not actual, gym attendance over the 30-week period, whereas the evolution of intrinsic motivation was unrelated to gym attendance. Identified regulation was unrelated to gym attendance, but the increase in identified motivation over time positively predicted both self-reported and actual gym attendance. Controlled motivation was unrelated to gym attendance.ConclusionsContinuous and regular participation in an exercise program is more likely when individuals enjoy the program and consider it personally important.  相似文献   
196.
PurposePrevious studies have indicated a relationship between the use of commercial physical activity apps (e.g., Fitbit, Strava) and physical activity engagement. The use of social components of such apps, in particular app-specific communities (connecting with other app users) and existing social networking platforms (e.g., Facebook) have the potential to enhance physical activity. This study aimed to explore the psychological mechanisms underlying the relationship between the use of commercial physical activity apps (and their social components) and physical activity engagement.MethodAn online cross-sectional survey assessed physical activity, use of commercial physical activity apps (and their associated social components), and psychological constructs (social support, self-efficacy, motivation, trait competitiveness, trait social comparison).Results1274 adults aged 18–83 years (Mage = 34.1 ± 13.5 years, 87.6% female) participated. App use was positively associated with physical activity engagement. The relationship between app use and physical activity was fully mediated by social support, self-efficacy, intrinsic motivation and identified regulation. Trait competitiveness, but not trait social comparison, moderated the relationship between app use and physical activity. Most features (e.g., sharing posts, providing or receiving encouragement) of the social components of apps were positively associated with psychological constructs linked to engagement in physical activity. Mediation pathways linking features of existing social networking platforms with physical activity were found. Specifically, sharing posts was linked to higher engagement in physical activity via positive associations with self-efficacy, and receiving encouragement with linked to higher engagement in physical activity via positive associations with both self-efficacy and identified regulation. In addition, engagement in comparisons was associated with lower self-efficacy and higher external regulation, and in turn, lower physical activity.ConclusionsThe relationship between the use of commercial physical activity apps and physical activity is underpinned by social support, self-efficacy and autonomous motivations. The findings highlight the importance of trait competitiveness, which should be taken into consideration when leveraging physical activity apps. Overall, the present study demonstrated that commercial physical activity apps (and their social components) hold great potential to increase physical activity engagement given their associations with psychological constructs strongly linked with physical activity.  相似文献   
197.
198.
杨洁  张露  黄勇 《心理科学进展》2020,28(4):523-534
互联网企业通过营造快乐愉悦的玩兴氛围, 推动员工持续创新, 以期组织目标的实现。然而, 现有玩兴氛围与员工创新行为关系的研究以理论分析为主, 缺乏实证研究, 进展相对缓慢。在回顾组织管理领域玩兴研究成果的基础上, 开展三个方面的研究:研究一基于组织氛围理论和玩兴活动特征, 开发中国情境下互联网企业的团队玩兴氛围量表。研究二立足于团队层次, 依据资源保存理论重点探讨了玩兴氛围对员工创新行为的跨层次作用机制。研究三从创造力成分模型出发, 引入个体思维方式和多重认同, 探讨激发员工创新行为的边界条件。研究结果发展了中国互联网企业团队玩兴氛围的概念, 促进了玩兴氛围理论的发展, 为互联网类企业营造玩兴氛围以激发创新行为提供理论支持和实践启示。  相似文献   
199.
定向网络是注意网络的重要组成部分, 主要包括视觉定向与视觉搜索两大任务。对于这两大注意任务, 正常个体在神经机制上存在较大的重叠, 然而, 孤独症个体却表现出截然相反的行为证据。研究者从非社会信息的注意视角发现, 一般而言, 在视觉定向上, 孤独症个体注意转移不存在缺陷, 而注意脱离存在困难, 但该结论仍有争议; 在视觉搜索上, 孤独症个体存在视觉搜索优势, 但该优势发生的阶段及原因仍需进一步探究。未来研究应进一步考察孤独症个体在视觉定向任务中左右视野的不对称性、视觉搜索优势的内在机制及两大注意任务之间的相互关系。  相似文献   
200.
时间既是人类信息加工的对象, 也是(非时间)信息加工的制约因素。数十毫秒至数秒之间的时间加工与人类日常生活关联紧密, 譬如主观计时、演奏及言语等活动。根据以往文献分析可知, 在该时间区域内, 20~ 60 ms、1/3~1 s、2~3 s是研究者关注的重要时间参数, 但是支持这些参数的证据尚存分歧。首先从“时间信息加工”和“信息加工的时间特性”的视角介绍时间参数的基本观点及其提出背景, 然后基于“时间信息加工”视角从行为学研究、脑损伤研究、神经药理学研究, 脑电研究、脑成像研究、经颅磁刺激研究、经颅直流电刺激研究等领域介评了1/3~1 s和2~3 s分界区域的证据, 接着基于“信息加工的时间特性”视角从时序知觉阈限研究、感觉运动同步研究、主观节奏研究、言语行为研究、知觉逆转研究、返回抑制研究及失匹配负波研究等领域介评了20~60 ms和2~3 s时间窗口的证据。未来研究既要注意构建基于分界区域与时间窗口的更强解释力的理论假说, 也要厘清分界区域与时间窗口的联系与区别。  相似文献   
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