2017/07/25 by Ilker Yildirim, Yildirim, Ilker, Tobias Gerstenberg +7 · 1 voice · 1 citation
Computer Science · Psychology · #Artificial Intelligence in Games #Child and Animal Learning Development #Visual and Cognitive Learning Processes #cs.AI #cs.RO #stat.ML
paper · pdf · doi:10.48550/arxiv.1707.08212
openalex publication_date 2017/07/25 · openalex created_date 2017/07/31 · openalex updated_date 2026/07/28
In this paper, we present a new task that investigates how people interact with and make judgments about towers of blocks. In Experiment~1, participants in the lab solved a series of problems in which they had to re-configure three blocks from an initial to a final configuration. We recorded whether they used one hand or two hands to do so. In Experiment~2, we asked participants online to judge whether they think the person in the lab used one or two hands. The results revealed a close correspondence between participants' actions in the lab, and the mental simulations of participants online. To explain participants' actions and mental simulations, we develop a model that plans over a symbolic representation of the situation, executes the plan using a geometric solver, and checks the plan's feasibility by taking into account the physical constraints of the scene. Our model explains participants' actions and judgments to a high degree of quantitative accuracy.