Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
University of California, Berkeley, Berkeley, CA, 94704, United States.
Phys Life Rev. 2023 Sep;46:220-244. doi: 10.1016/j.plrev.2023.07.006. Epub 2023 Jul 13.
Psychology and neuroscience are concerned with the study of behavior, of internal cognitive processes, and their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit the range of behaviors that can be expressed. While focusing on restricted settings ensures methodological control, it risks impoverishing the object of study: by restricting behavior, we might miss key aspects of cognitive and neural functions. In this article, we argue that psychology and neuroscience should increasingly adopt innovative experimental designs, measurement methods, analysis techniques and sophisticated computational models to probe rich, ecologically valid forms of behavior, including social behavior. We discuss the challenges of studying rich forms of behavior as well as the novel opportunities offered by state-of-the-art methodologies and new sensing technologies, and we highlight the importance of developing sophisticated formal models. We exemplify our arguments by reviewing some recent streams of research in psychology, neuroscience and other fields (e.g., sports analytics, ethology and robotics) that have addressed rich forms of behavior in a model-based manner. We hope that these "success cases" will encourage psychologists and neuroscientists to extend their toolbox of techniques with sophisticated behavioral models - and to use them to study rich forms of behavior as well as the cognitive and neural processes that they engage.
心理学和神经科学关注行为、内部认知过程及其神经基础的研究。然而,大多数实验室研究使用受限制的实验设置,极大地限制了可以表达的行为范围。虽然专注于受限的设置可以确保方法学的控制,但它有使研究对象变得贫瘠的风险:通过限制行为,我们可能会错过认知和神经功能的关键方面。在本文中,我们认为心理学和神经科学应该越来越多地采用创新的实验设计、测量方法、分析技术和复杂的计算模型,以探究丰富的、生态有效的行为形式,包括社会行为。我们讨论了研究丰富行为形式的挑战,以及最先进的方法和新的传感技术所提供的新机会,并强调了开发复杂形式模型的重要性。我们通过回顾心理学、神经科学和其他领域(例如运动分析、动物行为学和机器人学)的一些最近的研究流,以基于模型的方式来证明我们的观点,这些研究流已经解决了丰富的行为形式。我们希望这些“成功案例”将鼓励心理学家和神经科学家扩展他们的技术工具包,采用复杂的行为模型,并利用这些模型来研究丰富的行为形式以及它们所涉及的认知和神经过程。