JWJie Wu

Jie Wu

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Jie Wu has a total of 7 co-authors. Here are the top co-authors by number of shared publications:

  • Siying Li

    Faculty of Education, Northeast Normal University, Changchun 130024, China

    3 shared publications
  • Zixuan Che

    Department of Psychology, Fujian Normal University, Fuzhou 350117, China

    2 shared publications
  • Caiyun Zhong

    1 shared publication
  • Chen Qu

    Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China

    1 shared publication
  • Cheng Xu

    Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China

    1 shared publication
  • Jianghong Lu

    Department of Psychology, Fujian Normal University, Fuzhou 350117, China

    1 shared publication

Latest Publications

  • Open Access

    The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning

    by Jie Wu, Jianghong Lu, Zixuan Che, Siying Li

    In the auditory domain, the role of auditory working memory in shaping strategy selection and performance within both auditory rule-based and information-integration tasks remains unclear. To address this issue, the present study utilized a concurrent auditory working memory paradigm to investigate the impact of working memory on rule-based and information-integration category learning within the auditory domain. Additionally, we employed a categorization strategy model and drift-diffusion model to examine the impact of auditory working memory on auditory category learning. The categorization strategies model revealed that significantly more participants employed the optimal strategy in the control condition compared to the concurrent working memory condition in both the rule-based and information-integration tasks. Furthermore, given that most participants used the rule-based strategy in the information-integration task, the results showed a decrease in accuracy and an increase in reaction time for the concurrent working memory condition relative to the control condition in rule-based category learning. According to the drift-diffusion model, this decline observed under the concurrent working memory condition can be attributed to a reduction in information accumulation speed, increased cautious decision-making, and longer nondecision time. This study suggests that the concurrent working memory task interfered with participants’ strategy selection and performance, with decreased performance in the concurrent working memory condition stemming from slower information accumulation and extended nondecision time for the rule-based strategy, while more cautious decision-making was related to the information-integration strategy.


  • Open Access

    Asymmetric Adaption in Social Learning: Understanding the Dilemma of Competition and Cooperation

    by Siying Li, Yulong Huang, Cheng Xu, Jie Wu, Chen Qu

    The constant challenge in social interactions involves making informed decisions in the face of competitive and cooperative dilemmas. The decision-making process can be influenced by various factors present in the social context. According to the behavior-pattern-categorization framework of information acquisition, potential biases may develop at all stages of decision-making as information about social context is progressively entered and integrated. In this study, employing the Chicken Game, we investigated the influence of varying information levels within the behavior-pattern-categorization framework (i.e., competitiveness of behavior choice, uncertainty of behavior pattern, and sociality of category) on decision-making in the dilemma of competition and cooperation. Combined with reinforcement learning models, our findings from three experiments showed that participants exhibited basic complementary behavior, becoming less competitive against highly competitive opponents and vice versa. Notably, individuals exhibited varying adaptation rates to different levels of opponent competitiveness and fluctuations. Specifically, participants adapted slower to highly competitive opponents and faster to cooperative opponents. This asymmetric adaptation in social learning is related to the rate at which various levels of information are updated. The current study disentangles the different levels of information acquisition and highlights the asymmetric processing that can occur during the updating of information within each level.