Infants rationally infer the goals of other people's reaches in the absence of first‐person experience with reaching actions

Abstract

Does knowledge of other people's minds grow from concrete experience to abstract concepts? Cognitive scientists have hypothesized that infants’ first‐person experience, acting on their own goals, leads them to understand others’ actions and goals. Indeed, classic developmental research suggests that before infants reach for objects, they do not see others’ reaches as goal‐directed. In five experiments (N = 117), we test an alternative hypothesis: Young infants view reaching as undertaken for a purpose but are open‐minded about the specific goals that reaching actions are aimed to achieve. We first show that 3‐month‐old infants, who cannot reach for objects, lack the expectation that observed acts of reaching will be directed to objects rather than to places. Infants at the same age learned rapidly, however, that a specific agent's reaching action was directed either to an object or to a place, after seeing the agent reach for the same object regardless of where it was, or to the same place regardless of what was there. In a further experiment, 3‐month‐old infants did not demonstrate such inferences when they observed an actor engaging in passive movements. Thus, before infants have learned to reach and manipulate objects themselves, they infer that reaching actions are goal‐directed, and they are open to learning that the goal of an action is either an object or a place.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 05, 2023
Source ID
10.1111/desc.13453

Entities

People

  • Brandon M Woo
  • Elizabeth Spelke
  • Shari Liu

Organizations

  • Defense Advanced Research Projects Agency
  • Harvard University
  • Johns Hopkins University
  • Massachusetts Institute of Technology
  • National Science Foundation
  • Social Sciences and Humanities Research Council

Tags

Fields of Study

  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Mathematics or Statistics

Technology Areas

  • AI & ML