BlossomPsy：一个用于自适应且引人入胜的MBTI人格评估的以用户为中心的人工智能系统
BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments
AI总结：
针对现有MBTI评估工具的不足，BlossomPsy引入多轮对话与基于照片的问题，结合深度学习等算法，动态适应并提升用户参与度，实验证明其预测稳定，用户满意度高，在保持一致性的同时改进了MBTI评估。
摘要：
公众对了解人格特质和情绪特征的兴趣日益浓厚，专业人格量表虽为评估标准工具，但常被大众视为乏味或难以获取。人工智能驱动的系统能使评估更易获得，但现有工作难以平衡用户参与度与预测一致性。我们引入了BlossomPsy，一个用户友好的人工智能驱动的MBTI评估系统。它以有争议的MBTI为基础，集成多轮对话和基于照片的问题以增强用户参与度并支持置信感知预测。通过结合深度学习、多臂赌博机算法和控制理论，系统动态适应用户回答。基于照片的问题增加了交互性并提供额外用户信息，提高了预测置信度。涉及人类志愿者和大语言模型的实验表明，BlossomPsy能产生稳定预测，用户满意度高于MBTI-M（中文版），且与参考量表保持相当的一致性。
英文摘要：
There has been growing public interest in understanding personality traits and emotional characteristics, as such knowledge helps individuals better accept themselves and manage negative emotions. While professional personality scales remain the standard tool for assessment, they are often perceived as tedious or inaccessible to the general public. AI-driven systems can make assessments more accessible, but it is difficult to balance user engagement with predictive consistency in existing works. We tackle this challenge by introducing BlossomPsy, a user-friendly AI-driven MBTI assessment system. MBTI, a widely recognized but psychometrically debated personality framework, serves as the foundation for many recent systems. BlossomPsy integrates multi-turn dialogue and photo-based questions to enhance user engagement while supporting confidence-aware predictions. By combining deep learning, multi-armed bandit algorithms, and control theory, the system dynamically adapts to users' responses. In particular, photo-based questions are designed to increase interactivity and provide additional user information, thereby improving prediction confidence. Experiments involving both human volunteers and large language models (LLMs) provide preliminary evidence that BlossomPsy can produce stable predictions, with higher reported user satisfaction compared to MBTI-M (Chinese version), while maintaining comparable consistency with the reference scale.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
