FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2395701935> ?p ?o ?g. }

• W2395701935 abstract "Modeling Spatial Abstraction during Mental Rotation Andrew Lovett (andrew@cs.northwestern.edu) Holger Schultheis (schulth@sfbtr8.uni-bremen.de ) Cognitive Systems Group, Universitat Bremen top of each other, or one might even group the squares together to form one large approximate triangle. Spatial abstraction is critical in mental rotation tasks (Figure 1A), where participants are asked whether one shape could be rotated in space to produce the other. Researchers believe individuals do this by incrementally transforming their mental representation of one shape to line it up with the other (Shepard & Metzler, 1971; Shepard & Cooper, 1982). Furthermore, there is evidence that representations are transformed in a piecemeal manner, rotating one part at a time (Yuille & Steiger, 1982; Just & Carpenter, 1976). If this is true, then the speed and ease of mental rotation will depend on the complexity of the representations. If one abstracts out details to produce a simpler representation, one can mentally rotate more effectively. Of course, it is important to only remove the spatial detail that is unnecessary for performing a task. In mental rotation, one must keep the details that distinguish a base shape from its distractors, those items that are not valid rotations of it. Thus spatial abstraction must be sensitive to the nature of the task and the specific stimuli being processed. Computational models can play a key role in testing abstraction strategies, concretely evaluating which details can be removed for a given task. Our previous model represented the edges going along a shape’s contour, such as the 12 edges in the Figure 1A shape (Lovett & Forbus, 2013). The model encoded features for each edge and relations between edges. It performed abstraction by either a) removing the shorter edges from its representation, or b) removing all features of a particular type, e.g., ignoring the orientations of the edges. Edge-based representation and abstraction proved effective in an initial simulation. However, this approach requires considering a great many details, such as the 12 sides in Figure 1A or the 24 sides in Figure 1B (lower row). Here we present a new model that represents the parts of Abstract We present a computational model of mental rotation and shape comparison. The model posits that spatial abstraction, in which spatial details are removed to simplify a representation, is a key skill underlying spatial ability. Shapes are represented as collections of two-dimensional parts, and abstraction is applied by merging parts or ignoring certain part features. Using the model, we simulate a classic mental rotation experiment, demonstrating how abstraction explains the study’s key finding. Finally, we compare the part-based approach to a previous edge-based approach, demonstrating that the current approach better explains human shape comparisons. Keywords: Spatial Cognition, Cognitive Modeling, Mental Rotation. Introduction Spatial ability is a critical component of cognition. Children who exhibit higher spatial ability, independent of math or verbal ability, are more likely to engage in the STEM disciplines (Science, Technology, Engineering, and Mathematics) as students and later as professionals (Shea, Lubinski, & Benbow, 2001; Wai, Lubinski, & Benbow, 2009). Spatial ability is evaluated using tasks like paper- folding and mental rotation, where children must imagine a shape being transformed through space. If we can better understand the skills used on these tasks, it may be possible to teach these skills, improving students’ spatial abilities and preparing them to become scientists and engineers. We believe spatial abstraction is an important underlying spatial skill. Spatial abstraction is the ability to remove unnecessary detail from a mental representation, producing a simpler representation that supports faster and more effective spatial reasoning. For example, consider the leftmost shape in Figure 1A. This shape contains 12 sides. However, one might represent it as three squares stacked on Base Shape A Mirror- Reflection Base Shape 6-Sided Simple 24-Sided Complex B High-Sim Distractor Low-Sim Distractor C Figure 1: A: Mental rotation task. B: Stimuli from (Cooper & Podgorny, 1976). C: Stimuli from (Folk & Luce, 1987)." @default.
• W2395701935 created "2016-06-24" @default.
• W2395701935 creator A5018729972 @default.
• W2395701935 creator A5022297628 @default.
• W2395701935 date "2014-01-01" @default.
• W2395701935 modified "2023-09-28" @default.
• W2395701935 title "Modeling Spatial Abstraction during Mental Rotation" @default.
• W2395701935 cites W1501418839 @default.
• W2395701935 cites W1594697779 @default.
• W2395701935 cites W1976645892 @default.
• W2395701935 cites W1985270055 @default.
• W2395701935 cites W1989849514 @default.
• W2395701935 cites W2006334920 @default.
• W2395701935 cites W2026161499 @default.
• W2395701935 cites W2027943717 @default.
• W2395701935 cites W2029182003 @default.
• W2395701935 cites W2043756669 @default.
• W2395701935 cites W2058747821 @default.
• W2395701935 cites W2065343501 @default.
• W2395701935 cites W2076653888 @default.
• W2395701935 cites W2081519360 @default.
• W2395701935 cites W2101892923 @default.
• W2395701935 cites W2143848445 @default.
• W2395701935 cites W2145454741 @default.
• W2395701935 cites W2153524324 @default.
• W2395701935 cites W2163086796 @default.
• W2395701935 cites W2175498352 @default.
• W2395701935 cites W2399204526 @default.
• W2395701935 cites W3159914786 @default.
• W2395701935 hasPublicationYear "2014" @default.
• W2395701935 type Work @default.
• W2395701935 sameAs 2395701935 @default.
• W2395701935 citedByCount "0" @default.
• W2395701935 crossrefType "journal-article" @default.
• W2395701935 hasAuthorship W2395701935A5018729972 @default.
• W2395701935 hasAuthorship W2395701935A5022297628 @default.
• W2395701935 hasConcept C111472728 @default.
• W2395701935 hasConcept C111919701 @default.
• W2395701935 hasConcept C124304363 @default.
• W2395701935 hasConcept C127413603 @default.
• W2395701935 hasConcept C138885662 @default.
• W2395701935 hasConcept C154945302 @default.
• W2395701935 hasConcept C155911833 @default.
• W2395701935 hasConcept C15744967 @default.
• W2395701935 hasConcept C169760540 @default.
• W2395701935 hasConcept C169900460 @default.
• W2395701935 hasConcept C17744445 @default.
• W2395701935 hasConcept C188147891 @default.
• W2395701935 hasConcept C199539241 @default.
• W2395701935 hasConcept C201995342 @default.
• W2395701935 hasConcept C2776359362 @default.
• W2395701935 hasConcept C2777371692 @default.
• W2395701935 hasConcept C2778572836 @default.
• W2395701935 hasConcept C2780451532 @default.
• W2395701935 hasConcept C4051589 @default.
• W2395701935 hasConcept C41008148 @default.
• W2395701935 hasConcept C68867621 @default.
• W2395701935 hasConcept C74050887 @default.
• W2395701935 hasConcept C94625758 @default.
• W2395701935 hasConcept C96199812 @default.
• W2395701935 hasConceptScore W2395701935C111472728 @default.
• W2395701935 hasConceptScore W2395701935C111919701 @default.
• W2395701935 hasConceptScore W2395701935C124304363 @default.
• W2395701935 hasConceptScore W2395701935C127413603 @default.
• W2395701935 hasConceptScore W2395701935C138885662 @default.
• W2395701935 hasConceptScore W2395701935C154945302 @default.
• W2395701935 hasConceptScore W2395701935C155911833 @default.
• W2395701935 hasConceptScore W2395701935C15744967 @default.
• W2395701935 hasConceptScore W2395701935C169760540 @default.
• W2395701935 hasConceptScore W2395701935C169900460 @default.
• W2395701935 hasConceptScore W2395701935C17744445 @default.
• W2395701935 hasConceptScore W2395701935C188147891 @default.
• W2395701935 hasConceptScore W2395701935C199539241 @default.
• W2395701935 hasConceptScore W2395701935C201995342 @default.
• W2395701935 hasConceptScore W2395701935C2776359362 @default.
• W2395701935 hasConceptScore W2395701935C2777371692 @default.
• W2395701935 hasConceptScore W2395701935C2778572836 @default.
• W2395701935 hasConceptScore W2395701935C2780451532 @default.
• W2395701935 hasConceptScore W2395701935C4051589 @default.
• W2395701935 hasConceptScore W2395701935C41008148 @default.
• W2395701935 hasConceptScore W2395701935C68867621 @default.
• W2395701935 hasConceptScore W2395701935C74050887 @default.
• W2395701935 hasConceptScore W2395701935C94625758 @default.
• W2395701935 hasConceptScore W2395701935C96199812 @default.
• W2395701935 hasIssue "36" @default.
• W2395701935 hasLocation W23957019351 @default.
• W2395701935 hasOpenAccess W2395701935 @default.
• W2395701935 hasPrimaryLocation W23957019351 @default.
• W2395701935 hasRelatedWork W1559894929 @default.
• W2395701935 hasRelatedWork W179180864 @default.
• W2395701935 hasRelatedWork W1979408324 @default.
• W2395701935 hasRelatedWork W2000401358 @default.
• W2395701935 hasRelatedWork W2048600075 @default.
• W2395701935 hasRelatedWork W2056059687 @default.
• W2395701935 hasRelatedWork W2109626523 @default.
• W2395701935 hasRelatedWork W2184846536 @default.
• W2395701935 hasRelatedWork W2395313785 @default.
• W2395701935 hasRelatedWork W2408202202 @default.
• W2395701935 hasRelatedWork W2585605116 @default.
• W2395701935 hasRelatedWork W2586377853 @default.

• next