People don’t just try to save energy on one step—they think ahead about the whole sequence of steps and pick the path that saves the most energy overall.
Scientific Claim
Minimizing the energy cost of the entire multi-step obstacle negotiation task is a stronger predictor of strategy choice than minimizing the cost of any single step, maximizing speed, or maintaining constant walking speed.
Original Statement
“Traversal strategy selection was consistent with task CoTtot minimization but not with individual step CoTtot minimization, locomotion speed maximization or locomotion speed conservation... Only this candidate control target demonstrated both necessary logistic model features.”
Evidence Quality Assessment
Claim Status
overstated
Study Design Support
Design supports claim
Appropriate Language Strength
association
Can only show association/correlation
Assessment Explanation
The study shows association, not causation, and uses causal language ('consistent with', 'reveals the capacity'). The conclusion that task-level minimization is 'stronger' implies comparative causality, which is not experimentally proven.
More Accurate Statement
“Minimizing the energy cost of the entire multi-step obstacle negotiation task is more strongly associated with strategy choice than minimizing the cost of any single step, maximizing speed, or maintaining constant walking speed.”
Gold Standard Evidence Needed
According to GRADE and EBM methodology, here is what ideal scientific evidence would look like to definitively prove or disprove this specific claim, ordered from strongest to weakest evidence.
Randomized Controlled TrialLevel 1aThat forcing participants to prioritize single-step energy minimization disrupts their natural preference for task-level optimization.
That forcing participants to prioritize single-step energy minimization disrupts their natural preference for task-level optimization.
What This Would Prove
That forcing participants to prioritize single-step energy minimization disrupts their natural preference for task-level optimization.
Ideal Study Design
A within-subject RCT with 40 healthy adults performing obstacle negotiation under three conditions: normal vision, visual feedback showing only the cost of the current step, and visual feedback showing only the total task cost; primary outcome is deviation from baseline strategy preference.
Limitation: Cannot determine if participants are consciously using energy cost information or relying on implicit learning.
Prospective Cohort StudyLevel 2bThat individuals with higher cognitive load (e.g., dual-task conditions) lose the ability to optimize task-level energy cost but retain step-level optimization.
That individuals with higher cognitive load (e.g., dual-task conditions) lose the ability to optimize task-level energy cost but retain step-level optimization.
What This Would Prove
That individuals with higher cognitive load (e.g., dual-task conditions) lose the ability to optimize task-level energy cost but retain step-level optimization.
Ideal Study Design
A prospective cohort of 60 healthy adults performing obstacle negotiation under cognitive load (e.g., counting backward) vs. control, measuring whether task-level CoTtot minimization is impaired while step-level optimization remains intact.
Limitation: Cannot isolate whether cognitive load affects perception, planning, or motor execution.
Evidence from Studies
Supporting (1)
Human locomotion over obstacles reveals real-time prediction of energy expenditure for optimized decision-making
People chose how to step over gaps based on which whole sequence used the least energy—not just one step or how fast they moved. The study proved energy savings across the whole task guided their choices.