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2025 Vol. 31, No. 2
Published: 2025-04-30

 
99 The Characteristics Classification and Influencing Factors of Pilots ’Risk-taking Behavior
WANG Lei,XIAN Yuan-yuan,GAO Shan

Pilots' risk-taking behaviors threaten aviation safety directly. Based on psychological and behavioral sciences, firstly, this study systematically sorted out the theoretical mechanism and structural components of pilot risk-taking, mined and extracted pilot risk-taking behaviors through the framework of non-technical skills; Then, it analyzed the personality and cognitive factors that affect pilot risk-taking and their role relationships based on the psychological process of pilot risk-taking; On this basis, the categories and characteristics of pilot risk-taking were summarized. Finally, based on the limitations of the existing studies, future research prospects were proposed from two aspects: internal mechanisms and effective measurements, providing reference for subsequent theoretical exploration and practical research applications.

2025 Vol. 31 (2): 99-110 [Abstract] ( 227 ) PDF (435 KB)  ( 636 )
111 The Effect of Non-Deterministic Goods on Consumers' Psychology, Behavior and Mechanism
XIE Ju–lan, HAN Xiao, LUO Ya,HE Xiao–xing,CHU Ye
Under the guidance of POP MART and other brands' blind boxes/mystery boxes, the increasingly popular "blind box culture" has drawn significant attention from both brands and consumers. While scholars have studied the characteristics and influencing factors of various non–deterministic consumption practices, a systematic consensus on its epidemic mechanism has not yet been established. Therefore, this study provides a systematic review of relevant research and develops a mechanism for individual purchase of non–deterministic goods based on the theory of hedonic–utilitarian shopping value. We believe that future studies can further explore from liberating–engagement theory perspective, pay attention to the regulatory effect of shopping status and the influence of digital technology, and conduct intervention research on its potential harm.
2025 Vol. 31 (2): 111-121 [Abstract] ( 262 ) PDF (567 KB)  ( 1027 )
122 Exploring the Antecedents of Suicide Risk and Identifying and Predicting Suicide Risk: The Application of Machine Learning
Zhang Li-ying,Wang Wen-chao, Wu Xin-chu, Liu Lu-ming, Wang Pei-zhong
Exploring the antecedents of suicide risk and identifying and predicting suicide risk are challenging issues in the field of mental health. This paper summarizes the breakthroughs made by data-driven machine learning in addressing this problem as compared to theory-driven traditional methods. Machine learning utilizes advanced modeling techniques to comprehensively explore the antecedents of suicide risk and their relative importance. Moreover, it can handle complex and diverse data, enabling better longitudinal design and real-time monitoring of suicide risk. Consequently, this significantly improves the accuracy of suicide risk identification and prediction. This paper also discusses potential limitations of machine learning methods and proposes solutions and future directions, providing valuable insights for both research and practical applications.
2025 Vol. 31 (2): 122-133 [Abstract] ( 271 ) PDF (618 KB)  ( 272 )
134 Concern for existing prosocial reputation increases prosociality in 5-year-olds
ZHANG Zhen,WANG Xin,ZONG Yu-fei
This study examined whether 5-year-old children would strategically engage in prosocial behaviors to maintain their existing prosocial reputation. Experiment 1 found that when children were told that their peers had nominated them as kids who like to help (assigned a helping reputation), they exhibited helping behaviors more quickly compared to when they were assigned a sharing reputation or no reputation at all. Experiment 2 found that when children were told that their peers had nominated them as kids who like to share (assigned a sharing reputation), they shared more compared to when they were assigned a helping reputation or no reputation at all. These results indicate that 5-year-old children engage in corresponding prosocial behaviors to maintain their specific prosocial reputation, with implications for our understanding of the strategic motive underlying young children’s prosocial behavior.
2025 Vol. 31 (2): 134-147 [Abstract] ( 204 ) PDF (523 KB)  ( 176 )
148 The Parent and Child Brains: Interpersonal Neuroscience Promotes Developmental Research
LI Yuan-yuan,QI Yun-jin,HE Jie,PAN Ya-feng
In the past decade, the field of developmental psychology has witnessed a great paradigm shift, as more and more research has begun to explore parent-child interactions using interpersonal neuroscience approaches, such as recording the brain activity of both parents and children and calculating brain-to-brain synchrony. However, the relationship between parent-child interaction and brain-to-brain synchrony has not yet been systematically explored. To address this issue, this paper reviews the classical studies of brain-to-brain synchrony during parent-child interaction, and then further proposes important paths to understand brain-to-brain synchrony based on parent-child interaction, and parent-child interaction based on brain-to-brain synchrony. In addition, the causal relationship between brain-to-brain synchrony and parent-child interaction is discussed. Future research could promote developmental interpersonal neuroscience around horizontal and vertical research design and computational modeling.
2025 Vol. 31 (2): 148-158 [Abstract] ( 297 ) PDF (574 KB)  ( 423 )
159 Impact of Mortality Salience on False Consensus Effect
YAO Qi, ZHU Zhiyi
Previous studies have examined the relationship between mortality salience and the false consensus effect, but relevant findings are inconsistent and few studied have explored the underlying mechanisms empirically. The present research introduced self-construal and future self-continuity to reconcile the inconsistence of previous studies and provide some explanations for the underlying mechanisms. The results of two experiments indicated that self-construal moderated the effect of mortality salience on the false consensus Specifically, for independent self-construal individuals, mortality salience increased the false consensus effect, while for the dependent self-construal individuals, the effect of mortality salience on the false consensus was negative. Additionally, future self-continuity could explain the moderating effect of self-construal. This research draws a picture of when mortality salience could increase the false consensus effect and provides a new perspective (i.e., the time dimension of self) for explaining the effects of mortality salience.

2025 Vol. 31 (2): 159-167 [Abstract] ( 179 ) PDF (647 KB)  ( 325 )
168 The Influence of Physiological Pain on Monetary Decision-Making and Its Mechanisms
JIANG Duo,YANG Shuang,YU Xiao-hui
Physiological pain is a multi-dimensional subjective experience associated with tissue damage or potential tissue damage. When individuals experience pain, whether acute or chronic, they become more adventurous and short-sighted. Current researches have revealed influence mechanisms of acute physiological pain on monetary decision-making based on mood repair and heuristic processing. And some researches focused on the influence mechanisms of impaired executive function, reward processing and emotional feedback learning in studies on chronic pain. Future researches should pay more attention to the influence of acute and chronic physical pain on monetary decision-makings, in order to reveal the pattern that related to the influence of physical pain on monetary decision-makings. Additionally, we should explore the impact of acute and chronic physical pain on decision-making processes. Furthermore, it is important to explore some ways to improve chronic pain patients’ decision quality.
2025 Vol. 31 (2): 168-178 [Abstract] ( 184 ) PDF (658 KB)  ( 427 )
179 Statistical power analysis of event-related potential studies: influencing factors and methods
NIAN Jingqing,CHEN Xi,CHEN Fangfang,NIU Xia,LUO Yu
Statistical power is one of the key indicators for assessing the robustness and replicability of research results. However, the standardization and completeness of calculating and reporting statistical power in event-related potential (ERP) studies still need improvement. This paper reviews and summarizes the factors influencing statistical power, methods for calculation, and application examples in ERP studies. It aims to provide researchers with a reference for calculating and reporting statistical power during the design or pre-registration stages of ERP research plans.
2025 Vol. 31 (2): 179-192 [Abstract] ( 202 ) PDF (757 KB)  ( 336 )
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