I am a doctoral student specializing in positive psychology, with a focus on the development of positive attributes. My research primarily explores how childhood experiences influence the development of positive attributes and behaviors. Additionally, I am engaged in utilizing mobile sensing and machine learning techniques to predict these attributes through daily behaviors. My goal is to leverage this research to help individuals enhance attributes that contribute to their well-being.
I am currently a member of the PhoneStudy Team 👨💻 of the Ludwig-Maximilians-Universität München (LMU), and also a member of the Science of Well Being lab (Kong's lab) of the Shaanxi Normal University (SNNU).
Master of Science in Psychology, 2021 - 2024
Shaanxi Normal University, School of Psychology
Bachelor of Management in E-Commerce, 2017-2021
Wuhan University, School of Information Management
As a student with a background in psychology and information sciences, I am passionate about leveraging information technology to enhance psychological well-being. My research primarily centers on positive psychology, which includes the study of well-being, personal strengths, and related areas. My main research topics include:
Prior research has revealed the relationship between gratitude and prosocial behavior, but less is known about the predictive effects of cognitive and affective aspects of gratitude on prosocial behavior. The objective of this study was to explore the cross-sectional and longitudinal effects of affective gratitude and cognitive gratitude on prosocial behavior applying the bi-factor model. Study 1 employed a cross-sectional approach including measurements of affective gratitude, cognitive gratitude and prosocial behavior in a sample of 329 participants (294 females, Mage = 20.02, SDage = 2.38) and revealed that general gratitude but not affective gratitude or cognitive gratitude positively predicted prosocial behavior even after controlling for relevant demographic variables. In study 2, a total of 237 college students (213 females, Mage = 20.43, SDage = 2.12) participated in a two-wave longitudinal study and the results showed the same pattern that only general gratitude, neither affective gratitude nor cognitive gratitude, independently predicted subsequent prosocial behavior over 6 months. These findings provide preliminary evidence for the link between the bi-factor structure of gratitude and prosocial behavior, highlight the essential role of overall tendency to experience gratitude in predicting prosocial behavior, and offer new perspectives in promoting prosocial behavior via gratitude interventions.
Previous studies have found that self-esteem is linked to subjective well-being (SWB), but little is known about the longitudinal relationship between self-esteem and the bi-factor structure of SWB which has been demonstrated to include three specific factors and a general factor of SWB. This study used four competing structural models of SWB (i.e., the three-factor model, the causal model, the hierarchical model and the bi-factor model) to investigate the relationships between self-esteem and SWB in a total of 997 emerging Chinese adults (Mage = 19.79 years; 65.20% females) through a two-wave longitudinal study. From the point of view of the fit index, the results showed that the bi-factor model fitted our data better than the other three models. Importantly, results for the vast majority of models demonstrated the existence of the reciprocal link between self-esteem and subjective well-being in emerging Chinese adults. Specially, the results of bi-factor model suggested that there was a bidirectional link between self-esteem and the general factor of subjective well-being. To sum up, our findings provide new support for studying the longitudinal relationship between self-esteem and SWB using four models including the bi-factor model.
Childhood maltreatment (CM), including physical, emotional, and sexual maltreatment, is detrimental to adolescents' psychological and behavioral outcomes. However, most studies on the relationship between CM and prosocial behavior focused on the overall experience of CM. Since different forms of CM exert various influences on adolescents, it is essential to find out which form of CM has the strongest link with prosocial behavior and the underlying mechanism behind it to fully understand this relationship and design a specific intervention for promoting prosocial behavior.Guided by internal working model theory and hopelessness theory, this study aimed to investigate the connections of multiple forms of CM with prosocial behavior, and explore the mediating mechanism of gratitude from the perspective of the broaden-and-build theory through a 14-day daily diary study.
Prior research has reported that childhood maltreatment is associated with poor well-being, but few studies have examined the association between childhood maltreatment and well-being including hedonic and eudaimonic well-being using a daily diary method.The present study investigated the association between childhood maltreatment and hedonic and eudaimonic well-being, and explored the mediating effects of social support and self-esteem.
Hedonic and eudaimonic motives have been shown to have different effects on well-being, but most prior studies concentrated on hedonic well-being. To further verify the predictive associations between happiness motives (i.e., hedonic and eudaimonic motives) and well-being, especially eudaimonic well-being, we used a two-wave cross-lagged longitudinal design in a sample of 419 teenagers (mean age = 15.17 years, SD = 0.43 years) with an interval of eight months. The results showed that eudaimonic motives significantly predicted later hedonic and eudaimonic well-being, while only eudaimonic well-being, in turn, predicted later eudaimonic motives. There were no predictive associations between hedonic motives and two dimensions of well-being. After controlling the effects of age, gender, and subjective socioeconomic status, these results remained significant. Furthermore, after adding the lagged paths between two types of well-being, only eudaimonic well-being predicted eudaimonic motives, while eudaimonic motives could not predict hedonic and eudaimonic well-being.