Prospective memory (PM) is the process associated with the task of realizing delayed intentions in the future. Researchers distinguish two types of PM, namely time-based PM (tbPM) and event-based PM (ebPM). Experiment 1 investigated the developmental trajectory of 3- to 5-year-old preschool children’s PM ability, and the occurrence of delayed retrieval (children execute the PM task in a larger window of opportunity) in both tbPM and ebPM tasks. Results revealed that the 5-year-old children outperformed the 3- and 4-year-old children in PM. Moreover, delayed retrieval was more likely to occur in tbPM task than in ebPM task. In Experiment 2, the influence of ongoing task (OT) difficulty on PM performance was investigated with a sample of 5-year-old children. Results revealed no significant effect of OT difficulty on PM performance. In Experiment 3, we improved children’s motivation level to complete the OT, then explored the influence of OT difficulty on children’s PM performance. Results revealed that the effect of OT difficulty on PM performance became significant after increasing the children’s motivation to complete the OT. These results provide insights into the mechanism of attentional resource allocation in PM tasks and have crucial educational and social implications.

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Trust encompasses one's willingness to take certain risks based on the expectation of the other's behavior in order to obtain positive results in the future. Previous studies focused on specific brain regions, rather than the overall activity of large-scale brain networks in trust behavior. Trust behavior is associated with the activation of multiple regions of the brain that involves the cognitive neural network. In the Cognitive Neural Network Model, trust behavior is a representation of the interaction between the motivation system, affective system and cognition system, corresponding to the activation of the reward network, salience network, central-executive network and default-mode network. The model clarifies the correspondence between psychological systems and neural networks, and explains the psychological and neural mechanisms of trust from the perspective of neuroscience. In addition, the model also emphasizes the feedback mechanism of trust behavior, yielding a complete Cognitive Neural Network Model.

Our aim was to develop a scale to measure the cognition and attitude of Chinese people toward postdisaster psychological crisis intervention and to evaluate the psychometric properties of the measure. The study was divided into three stages: (a) Designing the scale items; (b) administering the pilot measure and performing psychometric analysis; (c) implementing administration of the final version of the measure, and performing confirmatory factor analysis with 1,195 participants residing in the Shandong and Sichuan Provinces in China. The Cognition scale contains 15 items in 3 subscales we labeled as theoretical cognition, professional cognition, and objective cognition. The Attitude scale contains 17 items in 3 subscales of obligatory attitude, constructive attitude, and positive attitude. Both scales exhibited adequate validity and internal consistency reliability. The Chinese People's Cognition and Attitude Toward Postdisaster Psychological Crisis Intervention Scale is reliable and valid and can be used by postdisaster aid providers and researchers to assess the cognition and attitude of Chinese people who have experienced a disaster.