黑猩猩 (Pan troglodytes) 和黑猩猩 (Pan paniscus) 在虚拟环境中围绕障碍物追捕猎物
Emilie Rapport Munro1, Sarah E Koopman1, Sean P Anderson2
1School of Psychology and Neuroscience, University of St Andrews.
Journal of comparative psychology (Washington, D.C. : 1983)
|March 24, 2025
概括
像黑猩猩和黑猩猩这样的猿类可以在虚拟环境中学习复杂的狩猎策略. 沉浸式第一人称视图显著提高了他们在捕捉虚拟猎物的成功率.
科学领域:
- 灵长类的认知能力
- 行为生态学 行为生态学
- 虚拟现实研究 虚拟现实研究
背景情况:
- 猿类需要富含能量的食物,推动了寻找食物和狩猎的认知进化.
- 由于实地和实验室研究的局限性,研究猿类狩猎机制具有挑战性.
- 虚拟环境 (VE) 提供了一种新的方法,可以通过实验控制来研究猿类认知.
研究的目的:
- 在模拟的狩猎场景中调查黑猩猩和红猩猩的认知能力.
- 评估不同观点对猎物捕获成功的影响.
- 使用计算建模来分析猿狩猎策略.
主要方法:
- 实验对象 (黑猩猩和) 通过触摸屏导航3D虚拟环境.
- 子的任务是在各种障碍条件下追捕和捕捉虚拟子.
- 试验使用第一人称 (FP) 和空中视角进行.
- 使用生成计算代理模型分析行为数据.
主要成果:
- 子成功地学会了追逐和捕捉虚拟的猎物,有些人取得了很高的成功率.
- 第一人称视角试验的成功率明显高于空中视角.
- 计算分析显示,猿类主要使用直接追逐,但偶尔也会采用预测策略.
结论:
- 虚拟环境是研究复杂的猿类行为和认知的有效工具.
- 猿人表现出对VEs中的移动代理和空间导航的理解.
- 计算建模有效地识别了子在模拟任务中使用的认知策略.
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