Publications | George Kachergis

Learning Variability Network Exchange (LEVANTE): A global framework for measuring children’s learning variability through collaborative data sharing

Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, …

M. C. Frank, H. Baumgartner, M. Braginsky, G. Kachergis, Others, A. Cubillo

Learning Variability Network Exchange (LEVANTE): A global framework for measuring children’s learning variability through collaborative data sharing

Comparing apples to manzanas and oranges to naranjas: A new measure of English-Spanish vocabulary for dual language learners

C. S. Tamis-LeMonda, S. L. Gonzalez, M. Xu, G. Kachergis, Others, D. Yurovsky

The CDI-III

P. S. Dale, G. Kachergis

Online computerized adaptive tests of children’s vocabulary (CDI-CAT)

P. S. Dale, G. Kachergis

Measuring children’s early vocabulary in low-resource languages using a Swadesh-style word list

G. Kachergis, A. W. M. Tan, V. A. Marchman, P. S. Dale, M. C. Frank

Understanding the impacts of video-guided activities on parent-child interaction

Early parenting practices play an important role in shaping children’s future outcomes. In particular, high-quality early …

G. Kachergis, E. Hembacher, V. Cristiano, H. v. Zhang, M. C. Frank

Plurality is a good start, but it's time for unification

G. Kachergis, A. W. M. Tan, M. C. Frank

Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition

The ability to rapidly recognize words and link them to referents is central to children’s early language development. This ability, …

M. Zettersten, D. Yurovsky, G. Kachergis, Others, C. A. Bergey, M. C. Frank

ManyBabies3: A multi-lab study of infant algebraic rule learning

I. Visser, A. Geambasu, C. Bergmann, K. Byers-Heinlein, F. L. Doyle, E. Hannon, S. Johnson, G. Kachergis, J. Kosie, ..., C. Levelt

Estimating demographic bias on tests of children’s early vocabulary

G. Kachergis, N. Francis, M. C. Frank

Estimating demographic bias on tests of children’s early vocabulary

Children’s early language skill has been linked to later educational outcomes, making it important to measure early language …

G. Kachergis, N. Francis, M. C. Frank

Estimating demographic bias on tests of children’s early vocabulary

Behavioral Optimization in a Robotic Serial Reaching Task using Predictive Information

D. Sen, R. De Kleijn, G. Kachergis

An Online Computerized Adaptive Test (CAT) of Children's Vocabulary Development in English and Mexican Spanish

G. Kachergis, V. A. Marchman, P. Dale, J. Mankewitz, M. C. Frank

An automated classifier for child-directed speech from LENA recordings

J. Y. Bang, G. Kachergis, A. Weisleder, V. A. Marchman

Active learners learn what simple samplers cannot: A Zipf-distributed vocabulary from limited data

Children learn thousands of words in the first several years of life, inspiring many theoretical and empirical studies seeking to …

S. Hidaka, T. Torii, G. Kachergis

A longitudinal analysis of the social information in infants' naturalistic visual experience using automated detections

B. Long, G. Kachergis, K. Agrawal, M. C. Frank

A large-scale comparison of cross-situational word learning models

One problem language learners face is extracting word meanings from scenes with many possible referents. Despite the ambiguity of …

G. Kachergis, M. Braginsky, M. C. Frank

A large-scale comparison of cross-situational word learning models

A critical period for robust curriculum-based deep reinforcement learning of sequential action in a robot arm

Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subactions and sometimes subgoals. In the …

R. De Kleijn, D. Sen, G. Kachergis

Toward a ``Standard Model'' of Early Language Learning

A standard model is a theoretical framework that synthesizes observables into a quantitative consensus. Have researchers made progress …

G. Kachergis, V. Marchman, M. C. Frank

Toward a ``Standard Model'' of Early Language Learning

Predicting children's and adults' preferences in physical interactions via physics simulation

G. Kachergis, S. Radwan, B. Long, J. E. Fan, D. Bear, D. Yamins, M. C. Frank

Peekbank: Exploring children's word recognition through an open, large-scale repository for developmental eye-tracking data

M. Zettersten, C. A. Bergey, G. Kachergis, M. Lewis, M. C. Frank

Exploring variation in infants' preference for infant-directed speech: Evidence from a multi-site study in Africa

A. S. M. Tsui, A. Carstensen, G. Kachergis, ..., M. C. Frank

Detecting social information in a dense database of infants' natural visual experience

B. Long, G. Kachergis, K. Agrawal, M. C. Frank

Characterizing the object categories two children see and interact with in a dense dataset of naturalistic visual experience

B. Long, G. Kachergis, N. Bhatt, M. C. Frank

A longitudinal analysis of the social information in infants' naturalistic visual experience using automated detections

B. Long, G. Kachergis, K. Agrawal, M. C. Frank

What counts as an exemplar model, anyway? A commentary on Ambridge (2020)

K. Mahowald, G. Kachergis, M. C. Frank

Pragmatic communicators can overcome asymmetry by exploiting ambiguity

M. Blokpoel, M. Dingemanse, G. Kachergis, S. Bogels, I. Toni, I. Van Rooij, The CABB Team

Consistency and variability between cultures during toddlers' naturalistic play

B. Long, M. C. Frank, E. Lai, P. Chan, P. Wong, G. Kachergis

Exploring informal science interventions to promote children's understanding of natural categories

"Categories carve up the world in a structured way, allowing people to inductively reason about the properties of novel exemplars. …

G. Kachergis, T. M. Gureckis, M. Rhodes

Exploring informal science interventions to promote children's understanding of natural categories

Evidence of error-driven cross-situational word learning

One powerful way children can learn word meanings is via cross-situational learning, the ability to discern consistent word-referent …

C. Grimmick, T. M. Gureckis, G. Kachergis

Detecting deceptive agents in online games of Mafia

B. De Ruiter, G. Kachergis

Computational and robotic models of early language development: A review

P.-Y. Oudeyer, G. Kachergis, W. Schueller

Word Learning: Associations or Hypothesis Testing?

G Kachergis

The other human in the loop: A pilot study to find selection strategies for active learning

D. Kottke, A. Calma, D. Huseljic, C. Sandrock, G. Kachergis, B. and Sick

Predictive movements in human reinforcement learning of sequential action

R. De Kleijn, G. Kachergis, B. Hommel

Optimized behavior in a robot model of sequential action

R. De Kleijn, G. Kachergis, B. Hommel

Detecting reading strategies during task-oriented reading: Building an automated classifier

G. *Kachergis, J. *Kielstra, L. Bokkers, B. Persad, I. Molenaar

'Trade-offs between category size and item distinctiveness in recognition memory for unfamiliar artificial stimuli: A model-based analysis'

G. Cox, G. Kachergis, R. M. Shiffrin

Quantifying the impact of active choice in word learning

S Hidaka, T Torii, G Kachergis

Observing and modeling developing knowledge and uncertainty during cross-situational word learning

G. Kachergis, C. Yu

IQ and working memory predict plan-based sequential action learning

R. De Kleijn, G. Kachergis, B. and Hommel

Executive function and attention predict low-income preschoolers' active category learning

K. Adams, G. Kachergis

Desirable difficulties in the development of active inquiry skills

G. Kachergis, M. Rhodes, T. and Gureckis

Children's familiarity preference in self-directed study improves recognition memory

K. *Adams, G. *Kachergis, D. Markant

'Leveraging mutual exclusivity for faster cross-situational word learning: A theoretical analysis'

S Hidaka, T Torii, G Kachergis

Human reinforcement learning of sequential action

G. Kachergis, F. Berends, R. De Kleijn, B. Hommel

Desirable difficulties in the development of active inquiry skills

G. Kachergis, M. Rhodes, T. Gureckis

A Dream Model: Reactivation and re-encoding mechanisms for sleep-dependent memory consolidation

G. Kachergis, R. De Kleijn, B. Hommel

A bootstrapping model of frequency and contextual diversity effects in word learning

G Kachergis, C Yu, R M Shiffrin

Should androids dream of electric sheep? Mechanisms for sleep-dependent memory consolidation

G. Kachergis, R. De Kleijn, B. Hommel

Robotic action control: On the crossroads of cognitive psychology and robotics

G. Kachergis, R. De Kleijn, B. Hommel

Trajectory effects in a novel serial reaction time task

G. Kachergis, F. Berends, R. De Kleijn, B. Hommel

Reward effects on sequential action learning in a trajectory serial reaction time task

G. Kachergis, F. Berends, R. De Kleijn, B. Hommel

Everyday robotic action: Lessons from human action control

R. De Kleijn, G. Kachergis, B. Hommel

Developing semantic knowledge through cross-situational learning

G. Kachergis, C. Yu, R. M. Shiffrin

Cross-situational word learning is both implicit and strategic

G. Kachergis, C. Yu, R. M. Shiffrin

Continuous measure of word learning supports associative model

G Kachergis, C Yu

A continuous time neural model for sequential action

G. Kachergis, D. Wyatte, R. C. O'Reilly, R. De Kleijn, B. Hommel

The effects of repeated sequential context on recognition memory

G. Kachergis, G. E. Cox, R. M. Shiffrin

G. E. Cox, G. Kachergis, R. M. Shiffrin

Naturalistic word-concept pair learning with semantic spaces

B. Kievit-Kylar, G. Kachergis, M. N. Jones

More naturalistic cross-situational word learning

G. Kachergis, C. Yu

Actively Learning Object Names Across Ambiguous Situations

G Kachergis, C Yu, R M Shiffrin

Re-learning Labeled Categories Reveals Structured Representations

A. T. Hendrickson, G. Kachergis, C. Fausey, R. L. Goldstone

Mechanisms for cross-situational learning of word-referent mappings: Empirical and modeling evidence

G. Kachergis

Learning Nouns with Domain-General Associative Learning Mechanisms

G Kachergis

Gaussian Process Regression for Trajectory Analysis

G. E. Cox, G. Kachergis, R. M. Shiffrin

Cross-situational Word Learning is Better Modeled by Associations than Hypotheses

G Kachergis, C Yu, R M Shiffrin

An associative model of adaptive inference for learning word--referent mappings

George Kachergis, Chen Yu, Richard M Shiffrin

Actively learning nouns across ambiguous situations

G Kachergis, C Yu, R M Shiffrin

Towards a Scalable Holographic Word-form Representation

G. E. Cox, G. Kachergis, G. Recchia, M. N. Jones

OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon

Many measures of human verbal behavior deal primarily with semantics (e.g., associative priming, semantic priming). Other measures are …

G. Kachergis, G. E. Cox, M. N. Jones

Adaptive Magnitude and Valence Biases in a Dynamic Memory Task

Given that human memory is fallible, it is likely adaptive for people to preferentially encode, retain, and retrieve important items …

G. Kachergis, G. Recchia, R. M. Shiffrin

Simultaneous Cross-situational Learning of Category and Object Names

T Gangwani, G Kachergis, C Yu

Is categorical perception really verbally mediated perception?

A. T. Hendrickson, G. Kachergis, T. M. Gureckis, R. L. Goldstone

Cross-Situational Statistical Learning: Implicit or Intentional?

G Kachergis, C Yu, R M Shiffrin

Adaptive constraints and inference in cross-situational word learning

G Kachergis, C Yu, R M Shiffrin

A Cue Imputation Bayesian Model of Information Aggregation

J. S. Trueblood, G. Kachergis, J. K. Kruschke

Temporal contiguity in cross-situational statistical learning

G Kachergis, C Yu, R Shiffrin

Frequency and contextual diversity effects in cross-situational word learning

G Kachergis, C Yu, R M Shiffrin

Depth of Field and Cautious-Greedy Routing in Social Networks

D. Barbella, G. Kachergis, D. Liben-Nowell, A. Sallstrom, B. Sowell