Viswanathan Vaisagh, Lees Michael, Sloot Peter M A
TUM CREATE Limited, 1 CREATE Way, #10-02 CREATE Tower, Singapore, 138602, Singapore.
School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Behav Res Methods. 2016 Jun;48(2):621-39. doi: 10.3758/s13428-015-0604-1.
Understanding human behavior in the context of exploration and navigation is an important but challenging problem. Such understanding can help in the design of safe structures and spaces that implicitly aid humans during evacuation or other emergency situations. In particular, the role that memory plays in this process is something that is crucial to understand. In this paper, we develop a novel serious game-based experimental approach to understanding the non-randomness and the impact of memory on the human exploration process. We show that a simple memory model, with a depth of between 6 and 8 steps, is sufficient to approximate a 'human-like' level of exploration efficiency. We also demonstrate the advantages that a game-based experimental methodology brings to these kinds of experiments in the amount of data that can be collected as compared to traditional experiments. We feel that these findings have important implications for 'safety-by-design' in complex infrastructural structures.
在探索和导航的背景下理解人类行为是一个重要但具有挑战性的问题。这种理解有助于设计安全的结构和空间，在疏散或其他紧急情况下暗中帮助人类。特别是，记忆在这个过程中所起的作用是理解的关键。在本文中，我们开发了一种基于严肃游戏的新颖实验方法，以理解人类探索过程中的非随机性和记忆的影响。我们表明，一个深度在6到8步之间的简单记忆模型足以近似“类人”水平的探索效率。我们还展示了基于游戏的实验方法与传统实验相比，在可收集的数据量方面给这类实验带来的优势。我们认为这些发现对复杂基础设施结构的“设计安全”具有重要意义。
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