Propose but Verify: Adult Word Learning Experiments with Eye-Tracking Data

Three eye-tracking experiments conducted by John C. Trueswell of California University of Pennsylvania examine how adults learn novel word-referent mappings in ambiguous contexts. The data likely contains explicit referent selection and implicit eye movement measures from participants learning nonce words cross-situationally. The findings challenge gradualist statistical learning models, supporting a 'Propose-but-Verify' one-trial learning procedure.

Use Cases

• Modeling human word learning mechanisms based on the described 'Propose-but-Verify' procedure.
• Analyzing the relationship between explicit referent selection and implicit eye movement measures mentioned in the description.
• Testing statistical-associative learning theories against one-trial learning hypotheses in artificial language contexts.
• Studying adult learning under conditions of referential uncertainty as described in the experiments.

Strengths

• Data is derived from three controlled experiments, providing a basis for replication.
• Findings are supported by both explicit (referent selection) and implicit (eye movement) measures as stated.
• The study directly compares two competing theoretical accounts of word learning.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to artificial learning contexts as noted in the description.

Provenance

Source

John C. Trueswell, California University of Pennsylvania

Collection Method

Three eye-tracking experiments with adult participants learning nonce words cross-situationally.