Decoding Human Behavior: From Experiments and Big Data to LLMs

In the rapidly evolving landscape of psychological and behavioral research, the integration of computational methods has opened unprecedented avenues for understanding human behavior and psychological processes. While traditional methodologies—such as behavioral experiments, surveys, and observational studies—remain foundational, they are increasingly being enriched by big data analytics and advanced computational models. This interdisciplinary track seeks to bridge the gap between traditional psychological paradigms and modern computing, fostering a collaborative space for scholars to explore complex behavioral phenomena through innovative lenses.

We invite submissions that utilize big data, machine learning, and deep learning to advance psychological insights. Furthermore, as Large Language Models (LLMs) and generative AI become more prevalent, we are particularly interested in research that explores their emerging role in psychology and behavioral sciences. This includes utilizing LLMs as advanced analytical tools, evaluating them as subjects of psychological study, or investigating them as interactive partners in human-AI dynamics. We welcome empirical studies, methodological innovations, and interdisciplinary designs that ground computational techniques in solid psychological theory. Relevant topics include, but are not limited to:

  • Data-Augmented Psychology: Integrating big data footprints and computational methods with traditional psychological experiments or surveys.
  • Algorithmic Behavioral Insights: Applications of machine learning, deep learning, and natural language processing (NLP) in behavioral prediction and psychological assessment.
  • LLMs as Research Tools: Utilizing Large Language Models and transformer-based algorithms for psychological data analysis, text mining, and data annotation.
  • Human-AI Interaction: Psychological dynamics, trust, and behavioral outcomes of engaging with AI companions or conversational agents.
  • Psychology of AI: Evaluating the cognitive abilities, moral reasoning, or psychological traits of LLMs and artificial agents.

This session aims to bring together psychologists, behavioral scientists, and computer scientists to advance our understanding of human nature in the digital age and to establish robust, computationally-assisted paradigms for future psychological research.

submission instruction

Please use the below links to download the Springer template and to submit your work. The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

The format of Research Papers should be suitable for original research, which is completed work at the time of submission and, regardless of the length of the paper, is a self-sufficient scientific contribution. Selected papers will be invited for submission to journals.

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2026, originality, significance and clarity.

Please note:

  • Authors must use Springer LNCS/LNAI manuscript submission guidelines and formatting template for their submissions and each paper must be at least 6 pages and no longer than 16 pages in length (including references).
  • All papers must be submitted electronically through the paper submission system in PDF format only.
  • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
  • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
  • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
  • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
  • Accepted papers will be included in the proceedings of BESC 2026 and indexed by EI Compendex, ISI, Scopus, DBLP, ACM Digital Library, Google Scholar and other A&I services.
  • Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals (TBC), including:
    • IEEE Transactions on Computational Social Systems (IEEE)
    • CCF Transactions on Pervasive Computing and Interaction (Springer)
    • EURASIP Journal on Image and Video Processing (Springer)
    • World Wide Web Journal (Springer)
    • Social Network Analysis and Mining (Springer)
    • Human-Centric Intelligent Systems (Springer)
    • Natural Language Processing (Elsevier)
    • Health Information Science and Systems (Springer)
    • Web Intelligence (IOS Press)
  • Papers that are substantially or entirely generated by generative AI tools are not permitted. The use of generative AI as an assistive tool (e.g., for language editing) is allowed, provided that such use is clearly and explicitly disclosed in the paper. Authors remain fully responsible for the content, originality, and integrity of their submissions.

Contact

  • Prof. Hao Chen, Nankai University, China (hull[at]nankai.edu.cn)
  • Asst. Prof. Song Tong, Beijing Normal University, China