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Quantitative Biology > Neurons and Cognition

arXiv:2502.10098 (q-bio)
[Submitted on 14 Feb 2025 (v1) , last revised 20 Jun 2025 (this version, v3)]

Title: Structuring the Environment Nudges Participants Toward Hierarchical Over Shortest Path Planning

Title: 构建环境促使参与者倾向于层次结构而非最短路径规划

Authors:Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia, Giovanni Pezzulo
Abstract: Effective planning is crucial for navigating complex environments and achieving goals efficiently. In this study, we investigated how environmental structure influences the selection of planning strategies. Forty-two participants navigated a space station to collect colored spheres, with environments either structured (spheres grouped by color) or unstructured (spheres scattered randomly). We tested three types of plans: hierarchical (grouping spheres by color), shortest path (minimizing travel distance), and neutral (none of the above). By manipulating environmental structure, we were able to nudge participants toward a preference for hierarchical planning in structured environments, while shortest path plans were favored in unstructured environments. A mismatch between self-reported preferences and actual choices indicated that participants often adopted implicit strategies, unaware of their decision-making processes. These findings highlight the powerful effect of environmental cues on planning and suggest that even subtle changes in structure can guide the selection of planning strategies.
Abstract: 有效的规划对于在复杂环境中高效地导航和实现目标至关重要。 在这项研究中,我们探讨了环境结构如何影响规划策略的选择。 42 名参与者在一个空间站中导航以收集彩色球体,环境要么是有结构的(球体按颜色分组),要么是无结构的(球体随机散落)。 我们测试了三种类型的计划:分层计划(按颜色分组球体)、最短路径计划(最小化旅行距离)和中性计划(以上都不是)。 通过操纵环境结构,我们在有结构的环境中能够引导参与者倾向于分层计划,而在无结构的环境中则倾向于最短路径计划。 自我报告的偏好与实际选择之间的不一致表明,参与者常常采用隐性策略,而没有意识到他们的决策过程。 这些发现强调了环境提示对规划的强大影响,并表明即使结构上的细微变化也能指导规划策略的选择。
Subjects: Neurons and Cognition (q-bio.NC)
Cite as: arXiv:2502.10098 [q-bio.NC]
  (or arXiv:2502.10098v3 [q-bio.NC] for this version)
  https://doi.org/10.48550/arXiv.2502.10098
arXiv-issued DOI via DataCite

Submission history

From: Davide Nuzzi [view email]
[v1] Fri, 14 Feb 2025 11:45:46 UTC (3,289 KB)
[v2] Mon, 28 Apr 2025 09:51:19 UTC (3,312 KB)
[v3] Fri, 20 Jun 2025 15:33:43 UTC (3,415 KB)
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