ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报 ›› 2026, Vol. 58 ›› Issue (6): 1077-1089.doi: 10.3724/SP.J.1041.2026.1077 cstr: 32110.14.2026.1077

• 研究报告 • 上一篇    下一篇

不同搜索空间限制下创造性问题解决的过程性搜索机制

刘迪1, 王彦悦1,2, 陈群林1, 邱江1   

  1. 1西南大学心理学部, 教育部“认知与人格”重点实验室, 重庆 400715;
    2西南民族大学, 成都 610041
  • 收稿日期:2026-03-30 发布日期:2026-04-28 出版日期:2026-06-25
  • 通讯作者: 邱江, qiuj318@swu.edu.cn; 陈群林, chenqunlin@swu.edu.cn
  • 作者简介:刘迪和王彦悦为共同第一作者。
  • 基金资助:
    国家社科重大项目(21&ZD312)资助

Processual search mechanisms in creative problem solving under different search space constraints

LIU Di1, WANG Yanyue1,2, CHEN Qunlin1, QIU Jiang1   

  1. 1Faculty of Psychology, Southwest University; Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing 400715, China;
    2Southwest Minzu University, Chengdu 610041, China
  • Received:2026-03-30 Online:2026-04-28 Published:2026-06-25

摘要: 尽管创造性思维的过程机制日益受到重视, 但在远距离联想问题解决等领域, 许多研究仍主要依赖正确率、反应时等结果性指标, 对该时间进程中搜索策略、模式变化关注相对不足。基于此, 研究通过两个研究考察不同搜索空间限制下创造性问题解决的过程性搜索机制。实验1针对远距离联想测验(RAT)在过程测量及线索维度控制上的局限, 开发多维度RAT材料库并验证其信效度, 结果发现任务表现与校标显著相关, 能有效测量不同搜索空间限制下的创造性思维过程; 实验2加入语义分析检验不同搜索空间限制条件下的行为表现与过程性指标, 结果发现高限制空间下个体倾向线索引导的局部搜索并在接近目标时呈突变式变化, 其语义跳跃更频繁, 低限制下倾向全局搜索, 以渐进式趋近目标。综上, 研究为考察不同搜索空间限制中联想-控制交互支持创造性问题解决提供了工具, 并为理解该过程性搜索机制提供了新的视角。

关键词: 创造性问题解决, 搜索空间, 搜索策略, 搜索模式, 语义网络

Abstract: Creative thinking relies on dynamic interactions between associative idea generation and cognitive control, and semantic search processes are at the core of this system. However, traditional Remote Associates Test (RAT) paradigms lack fine-grained control over search space constraints and overlook the dynamic nature of the creative thinking process. This study aimed to explore how search space constraints modulate semantic search strategies and patterns during creative problem-solving, using a newly developed Multi-dimensional RAT (MD-RAT) to address these limitations.
We ran two separate experiments for this research. In Experiment 1, we developed and validated the MD-RAT. This task adjusts search space constraints by changing the number of cue dimensions (shape, function, pairing) that link cue words to the target word. A total of 265 healthy undergraduates participated in material validation and psychometric testing. We measured participants' task accuracy and response times, and tested how these task results correlated with their creative achievement, personality openness, and verbal fluency. In Experiment 2, we recruited 42 participants and used a within-subjects design to directly compare high- and low-constraint conditions. We analyzed both behavioral performance (accuracy, number of responses) and fine-grained process indicators, including semantic similarity, category switching, and the sequential dependency of responses.
Our results first confirmed that the MD-RAT has good reliability and validity. Across both high- and low-constraint conditions, participants' task accuracy was significantly correlated with creative achievement, openness, and verbal fluency. We also found clear differences between the two conditions: the high-constraint condition had higher accuracy and fewer total responses than the low-constraint condition, while the low-constraint condition saw far more category switching. Our semantic similarity analyses gave a clear view of the search strategies participants used: in high-constraint conditions, people adopted local search strategies centered on dominant cues, with higher intra-cue than inter-cue similarity. In contrast, low constraints led to global search with more frequent semantic jumps. Besides, we found that search patterns differed that low constraints showed progressive increases in semantic similarity to targets, while high constraints displayed abrupt similarity spikes near solutions.
These findings make it clear that search space constraints systematically shape the creative thinking process. High constraints support focused, efficient local search, while low constraints encourage open, divergent global exploration. Beyond this, the MD-RAT provides a robust tool for investigating dynamic semantic search mechanisms, and helps us better understand how associative strategies and cognitive control work together to support creative problem solving.

Key words: creative problem solving, search space, search strategy, search pattern, semantic network