Representational dynamics in the domain of iterated mental paper folding

Angerer, Benjamin; Schreiber, Cornell

doi:10.1016/j.cogsys.2018.11.011

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…When the mental representation of a shape is folded, unlike in mental rotation, properties of the shape change ( Resnick and Shipley, 2013 ; Hodgkiss et al, 2018 ; Toub et al, 2019 ), and an infinite number of new shapes and objects can be created depending on where or how many times the original shape is folded ( Atit et al, 2013 ; Megahed, 2017 ). These characteristics make mental folding a non-rigid transformation ( Taylor and Hutton, 2013 ; Harris et al, 2013a ; Ormand et al, 2014 ) and potentially a more challenging representation than rigid ones ( Harris et al, 2013b ; Angerer and Schreiber, 2019 ; Hilton et al, 2022 ).…”

Section: Spatial Cognitionmentioning

confidence: 99%

Malleability of spatial skills: bridging developmental psychology and toy design for joyful STEAM development

İleri,

Erşan,

Kalaça

et al. 2023

Front. Psychol.

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Previous research has established that advances in spatial cognition predict STEAM success, and construction toys provide ample opportunities to foster spatial cognition. Despite various construction toy designs in the market, mostly brick-shaped building blocks are used in spatial cognition research. This group of toys is known to enhance mental rotation; however, mental rotation is not the only way to comprehend the environment three-dimensionally. More specifically, mental folding and perspective taking training have not received enough attention as they can also be enhanced with the construction toys, which are framed based on the 2×2 classification of spatial skills (intrinsic-static, intrinsic-dynamic, extrinsic-static, extrinsic-dynamic). To address these gaps, we compile evidence from both developmental psychology and toy design fields to show the central role played by mental folding and perspective taking skills as well as the importance of the variety in toy designs. The review was conducted systematically by searching peer reviewed design and psychology journals and conference proceedings. We suggest that, over and above their physical properties, construction toys offer affordances to elicit spatial language, gesture, and narrative among child-caregiver dyads. These interactions are essential for the development of spatial skills in both children and their caregivers. As developmental psychology and toy design fields are two domains that can contribute to the purpose of developing construction toys to boost spatial skills, we put forward six recommendations to bridge the current gaps between these fields. Consequently, new toy designs and empirical evidence regarding malleability of different spatial skills can contribute to the informal STEAM development.

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Section: Spatial Cognitionmentioning

confidence: 99%

Malleability of spatial skills: bridging developmental psychology and toy design for joyful STEAM development

İleri,

Erşan,

Kalaça

et al. 2023

Front. Psychol.

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“…Visual problems have a useful iconic representation, but more abstract problems require the creation of a propositional representation (Kunda, McGregor, and Goel, 2013). One common type of propositional representation is directed graphs (Angerer & Schreiber, 2019). Propositional representations can emerge from restructuring (or recoding) the iconic visual representation, or be created following task instructions (e.g., learning the rules and constraints of the problem).…”

Section: Human Problem Solvingmentioning

confidence: 99%

When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving

Hélie

Pizlo

2021

Topics in Cognitive Science

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A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators (to move between states). A problem such as playing a game of chess has 10 120 possible states, and a traveling salesperson problem with as little as 82 cities already has more than 10 120 different tours (similar to chess). Biological neurons are slower than the digital switches in computers. An exhaustive search of the problem space exceeds the capacity of current computers for most interesting problems, and it is fairly clear that humans cannot in their lifetime exhaustively search even small fractions of these problem spaces. Yet, humans play chess and solve logistical problems of similar complexity on a daily basis. Even for simple problems humans do not typically engage in exploring even a small fraction of the problem space. This begs the question: How do humans solve problems on a daily basis in a fast and efficient way? Recent work suggests that humans build a problem representation and solve the represented problem-not the problem that is out there. The problem representation that is built and the process used to solve it are constrained by limits of cognitive capacity and a cost-benefit analysis discounting effort and reward. In this article, we argue that better understanding the way humans represent and solve problems using heuristics can help inform how simpler algorithms and representations can be used in artificial intelligence to lower

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Special issue on problem-solving, creativity and spatial reasoning

Falomir

Olteteanu

2019

Cognitive Systems Research

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Representational dynamics in the domain of iterated mental paper folding

Cited by 3 publications

References 41 publications

Malleability of spatial skills: bridging developmental psychology and toy design for joyful STEAM development

Malleability of spatial skills: bridging developmental psychology and toy design for joyful STEAM development

When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving

Special issue on problem-solving, creativity and spatial reasoning

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