Faculty

S. Lee Hong

S. Lee Hong

slhong@indiana.edu
(812) 856-0638
HP 168

Education
  • Ph.D., Doctor of Philosophy 2007
  • M.S., Master of Science 2004
  • BSc, Bachelor of Science - European 2001
Background


Academic Positions

Faculty member, Transportation Active Safety Institute (TASI)
Associate Member, Indiana University Cognitive Science
Assistant Professor, Program in Neuroscience
Assistant Professor, Louisiana State University 2007-2008

Research:

My research is focused on examining the changes in human movement patterns on 3 time-scales of change: (1) short-term adaptation; (2) learning; and (3) development and aging. These studies have shown how motor patterns can be affected by changes to the task, environment, and individual. My research has shown that the availability of information from the environment and task difficulty have a compensatory effect on the pattern of force produced by an individual. Another area of research that I am interested in consists of studies of how the aging and developmental processes affect the adaptability of the individual and diminishes their ability to his/her environment. I also study the acquisition of skill and decomposing the patterns of change in performance over the course of practice.

Research Funding

R21Hong and Koceja (MPI)08/01/2010-07/31/2012
NIH/NIAMS 1R21AG035158-01A1
"Exploring the Neuromechanics of Fall-Risk in Aging"
The primary objective of this research is to demonstrate that poorer postural recovery from lower-limb reflex perturbations is an underlying component of increased fall-risk in the elderly.
Role: PIPriority Score: 13Percentile: 3


R21Rebec and Hong (MPI)06/15/2011-06/14/2013
NIA 1R21AG039818-01
"Environmental Enrichment in Animal Models of Aging: Exploring the Role of Motor Variability"
The proposed research examines the role of motor variability in attenuating the effects of aging through environmental enrichment in mice.
Role: PIPriority Score: 18Percentile: 9.0


Compensatory tradeoffs in the uncertainty of human force produced as a function of task difficulty and environmental information. The force output is more unpredictable when the task is easy and there is an abundance of information from the environment.