理解人类视觉觅食:综述。

IF 1.6 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Tómas Kristjánsson, Árni Kristjánsson
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引用次数: 0

摘要

视觉觅食任务为生物体如何在其视觉环境中定位提供了很好的见解。这些任务对于同时研究通常单独处理的概念很有用,例如注意力引导、工作记忆和策略。觅食任务使我们能够研究持续的现实世界视觉探索,以及如何收集有关环境的信息。它们产生丰富和多方面的数据集,并可以提供对视觉注意、视觉搜索、视觉记忆和其他认知因素机制的见解,这些因素的设置更接近于我们在现实世界中如何使用这些因素。我们对文献进行了回顾,并讨论了理解和解释人类觅食的不同方法的优缺点。一种流行的方法是测试觅食行为是否符合某些数学规则,比如边际价值定理,或者所谓的lsamvy飞行。我们质疑这种方法的实用性,特别是在人类觅食(或任何具有相当大的神经系统的生物体的觅食)的背景下。决定觅食行为的目标和奖励是多方面的,了解这些将使我们更接近于理解人类如何与世界互动。在我们看来,评估表现是否符合特定的数学规则的有用性是值得怀疑的,而且资源可能被浪费在试图回答这些问题上,而不是专注于搜寻数据提供的关于视觉、注意力选择、视觉短期记忆和信息收集的丰富见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding human visual foraging: a review.

Visual foraging tasks provide great insights into how organisms orient within their visual environment. These tasks are useful for simultaneously investigating concepts often addressed separately, such as attentional guidance, working memory, and strategy. Foraging tasks enable the study of continuous real-world visual exploration and how information about the environment is gathered. They yield rich and multifaceted datasets and can provide insights into the mechanisms of visual attention, visual search, visual memory, and other cognitive factors in a setting more closely resembling how we employ those factors in the real world. We provide a review of the literature and discuss the pros and cons of different ways of understanding and explaining human foraging. A popular approach has been to test whether foraging performance fits certain mathematical rules, such as the marginal value theorem, or so-called Lévy flights. We question the usefulness of such approaches, in particular in the context human foraging (or the foraging of any organism with a sizeable nervous system). The goals and rewards that determine foraging behavior are multifaceted, and understanding those will bring us closer to understanding how humans interact with the world. The usefulness of assessing whether performance falls in line with a particular mathematical rule is, in our opinion, questionable and resources may have been wasted on trying to answer such questions, instead of focusing on the rich insights that foraging data provides about vision, attentional selection, visual short-term memory and the gathering of information.

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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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