Learning fine-grained and category information in navigable real-world space.
نویسندگان
چکیده
Spatial judgments are affected by both fine-grained and categorical knowledge. We investigated whether, and how, the two forms of knowledge are learned in real-world, navigable space, as well as the time course of learning each type of knowledge. Participants were Northwestern University undergraduates who estimated the locations of buildings and other landmarks on campus. The Northwestern campus is roughly divided into three regions whose borders are not easy to discern, either from a map or by navigation. Nevertheless, students often refer to these regions linguistically and use them when making housing decisions, choosing classes, and so forth. We found that knowledge of both the fine-grained configuration of locations and the regional distinctions increased with time. However, regional influences on judgments occurred later in students' time on campus. Consequently, computed distances across the nonexistent border between north and south campus locations became more biased with time. The results have implications for understanding how spatial representations develop in navigable environments.
منابع مشابه
Investigating the Effect of Sedimentary Basin on Consolidation of Kerman Fine-Grained Soils
In this research, the effects of a sedimentary basin, environmental conditions, and the passage of time were investigated on consolidation processes and engineering characteristics of fine-grained soils in Kerman city. For this purpose, the natural consolidation curves of soil samples extracted from different locations of Kerman city were compared with the Kerman city intrinsic consolidation li...
متن کاملRuntime Code Reuse Attacks: A Dynamic Framework Bypassing Fine-Grained Address Space Layout Randomization
Fine-grained address space layout randomization has recently been proposed as a method of efficiently mitigating ROP attacks. In this paper, we introduce a design and implementation of a framework based on a runtime strategy that undermines the benefits of fine-grained ASLR. Specifically, we abuse a memory disclosure to map an application’s memory layout on-the-fly, dynamically discover gadgets...
متن کاملFinite Element Analysis of Small-scale Head of Combine Harvester for Harvesting Fine-Grain Products
Brasica napus L. is one of the most important crops in the world, but every year during mechanized harvesting with conventional combines large quantities of the seeds fall to the ground and thus result in a decrease in yield. Therefore, designing and manufacturing a head specific for harvesting this crop is a high priority. In this study, the head of a combine for harvesting fine-grained produc...
متن کاملFinite Element Analysis of Small-scale Head of Combine Harvester for Harvesting Fine-Grain Products
Brasica napus L. is one of the most important crops in the world, but every year during mechanized harvesting with conventional combines large quantities of the seeds fall to the ground and thus result in a decrease in yield. Therefore, designing and manufacturing a head specific for harvesting this crop is a high priority. In this study, the head of a combine for harvesting fine-grained produc...
متن کاملVisual-textual Attention Driven Fine-grained Representation Learning
Fine-grained image classification is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle visual distinctions among similar subcategories. Most existing methods generally learn part detectors to discover discriminative regions for better classification accuracy. However, not all localized parts are benefici...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Memory & cognition
دوره 38 8 شماره
صفحات -
تاریخ انتشار 2010