Humans Select Subgoals That Balance Immediate and Future Cognitive Costs During Physical Assembly

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From building a new piece of furniture to replacing a lightbulb, people must often figure out how to assemble an object from its parts. Although these physical assembly problems take on many different forms, they also pose common challenges. Chief among these is the question of how to break a complex problem down into subproblems that are easier to solve. What principles determine why some strategies for decomposing a problem are favored over others? Here, we investigate the decisions that people make when considering different visual subgoals in the context of attempting to build a series of virtual block towers. We hypothesized that people favor subgoals achieving a balance between how much progress the subgoals would help achieve toward the final goal and how effortful they would be to solve. We tested this hypothesis by defining several computational models of planning and subgoal selection, then evaluating how well these models predicted human planning and subgoal selection behavior on the same problems. Our results suggest that participants rapidly differentiated the computational costs of otherwise similarly ambitious subgoals, and used these judgments to drive subgoal selection. Moreover, our findings are consistent with the possibility that participants were not only sensitive to the immediate computational costs associated with solving the very next subgoal, but also future costs that might be incurred when attempting the rest of the problem. Taken together, these results contribute to our understanding of how humans make efficient use of cognitive resources to solve complex, grounded planning problems.

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  • 10.48448/s58c-6j53
Visual scoping operations for physical assembly
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Planning is hard. The use of subgoals can make planning more tractable, but selecting these subgoals is computationally costly. What algorithms might enable us to reap the benefits of planning using subgoals while minimizing the computational overhead of selecting them? We propose visual scoping, a strategy that interleaves planning and acting by alternately defining a spatial region as the next subgoal and selecting actions to achieve it. We evaluated our visual scoping algorithm on a variety of physical assembly problems against two baselines: planning all subgoals in advance and planning without subgoals. We found that visual scoping achieves comparable task performance to the subgoal planner while requiring only a fraction of the total computational cost.Together, these results contribute to our understanding of how humans might make efficient use of cognitive resources to solve complex planning problems.

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