Hyungwook Yim
Ohio State University
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Featured researches published by Hyungwook Yim.
Psychological Science | 2013
Hyungwook Yim; Simon Dennis; Vladimir M. Sloutsky
Episodic memory involves the formation of relational structures that bind information about the stimuli people experience to the contexts in which they experience them. The ability to form and retain such structures may be at the core of the development of episodic memory. In the first experiment reported here, 4- and 7-year-olds were presented with paired-associate learning tasks requiring memory structures of different complexity. A multinomial-processing tree model was applied to estimate the use of different structures in the two age groups. The use of two-way list-context-to-target structures and three-way structures was found to increase between the ages of 4 and 7. Experiment 2 demonstrated that the ability to form increasingly complex relational memory structures develops between the ages of 4 and 7 years and that this development extends well into adulthood. These results have important implications for theories of memory development.
Journal of Experimental Child Psychology | 2013
Catherine A. Best; Hyungwook Yim; Vladimir M. Sloutsky
Selective attention plays an important role in category learning. However, immaturities of top-down attentional control during infancy coupled with successful category learning suggest that early category learning is achieved without attending selectively. Research presented here examines this possibility by focusing on category learning in infants (6-8months old) and adults. Participants were trained on a novel visual category. Halfway through the experiment, unbeknownst to participants, the to-be-learned category switched to another category, where previously relevant features became irrelevant and previously irrelevant features became relevant. If participants attend selectively to the relevant features of the first category, they should incur a cost of selective attention immediately after the unknown category switch. Results revealed that adults demonstrated a cost, as evidenced by a decrease in accuracy and response time on test trials as well as a decrease in visual attention to newly relevant features. In contrast, infants did not demonstrate a similar cost of selective attention as adults despite evidence of learning both to-be-learned categories. Findings are discussed as supporting multiple systems of category learning and as suggesting that learning mechanisms engaged by adults may be different from those engaged by infants.
Cognitive Psychology | 2017
Vladimir M. Sloutsky; Hyungwook Yim; Xin Yao; Simon Dennis
Word learning is a notoriously difficult induction problem because meaning is underdetermined by positive examples. How do children solve this problem? Some have argued that word learning is achieved by means of inference: young word learners rely on a number of assumptions that reduce the overall hypothesis space by favoring some meanings over others. However, these approaches have difficulty explaining how words are learned from conversations or text, without pointing or explicit instruction. In this research, we propose an associative mechanism that can account for such learning. In a series of experiments, 4-year-olds and adults were presented with sets of words that included a single nonsense word (e.g. dax). Some lists were taxonomic (i.,e., all items were members of a given category), some were associative (i.e., all items were associates of a given category, but not members), and some were mixed. Participants were asked to indicate whether the nonsense word was an animal or an artifact. Adults exhibited evidence of learning when lists consisted of either associatively or taxonomically related items. In contrast, children exhibited evidence of word learning only when lists consisted of associatively related items. These results present challenges to several extant models of word learning, and a new model based on the distinction between syntagmatic and paradigmatic associations is proposed.
Cognitive Science | 2011
Hyungwook Yim; Catherine A. Best; Vladimir M. Sloutsky
Journal of Memory and Language | 2018
Hyungwook Yim; Adam F. Osth; Vladimir M. Sloutsky; Simon Dennis
Cognitive Science | 2017
Simon Dennis; Hyungwook Yim; Vishnu Sreekumar; Nathan J. Evans; Paul Garrett; Per B. Sederberg
Cognitive Science | 2012
Samuel Rivera; Catherine A. Best; Hyungwook Yim; Aleix M. Martinez; Vladimir M. Sloutsky; Dirk Walther
Cognitive Science | 2017
Hyungwook Yim; Adam F. Osth; Vladimir M. Sloutsky; Simon Dennis
Archive | 2015
Hyungwook Yim
Cognitive Science | 2015
Hyungwook Yim; Simon Dennis; Christopher W. Bartlett; Vladimir M. Sloutsky