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|a 10.1109/TVCG.2022.3163794
|2 doi
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|a eng
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| 100 |
1 |
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|a Dubey, Rohit K
|e verfasserin
|4 aut
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| 245 |
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|a Cognitive Path Planning With Spatial Memory Distortion
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|c 2023
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|a Text
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|a Date Completed 03.07.2023
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|a Date Revised 03.07.2023
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Human path-planning operates differently from deterministic AI-based path-planning algorithms due to the decay and distortion in a human's spatial memory and the lack of complete scene knowledge. Here, we present a cognitive model of path-planning that simulates human-like learning of unfamiliar environments, supports systematic degradation in spatial memory, and distorts spatial recall during path-planning. We propose a Dynamic Hierarchical Cognitive Graph (DHCG) representation to encode the environment structure by incorporating two critical spatial memory biases during exploration: categorical adjustment and sequence order effect. We then extend the "Fine-To-Coarse" (FTC), the most prevalent path-planning heuristic, to incorporate spatial uncertainty during recall through the DHCG. We conducted a lab-based Virtual Reality (VR) experiment to validate the proposed cognitive path-planning model and made three observations: (1) a statistically significant impact of sequence order effect on participants' route-choices, (2) approximately three hierarchical levels in the DHCG according to participants' recall data, and (3) similar trajectories and significantly similar wayfinding performances between participants and simulated cognitive agents on identical path-planning tasks. Furthermore, we performed two detailed simulation experiments with different FTC variants on a Manhattan-style grid. Experimental results demonstrate that the proposed cognitive path-planning model successfully produces human-like paths and can capture human wayfinding's complex and dynamic nature, which traditional AI-based path-planning algorithms cannot capture
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|a Journal Article
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| 700 |
1 |
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|a Sohn, Samuel S
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Thrash, Tyler
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Holscher, Christoph
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Borrmann, Andre
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kapadia, Mubbasir
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 29(2023), 8 vom: 31. Aug., Seite 3535-3549
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|x 1941-0506
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|g volume:29
|g year:2023
|g number:8
|g day:31
|g month:08
|g pages:3535-3549
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|u http://dx.doi.org/10.1109/TVCG.2022.3163794
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