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Jung-Mi Lee

Korea Advanced Institute of Science and Technology · Computer Science

About the Lab

Professor Jung-Mi Lee's research lab specializes in cognitive neuroscience and human factors, focusing on the neural and behavioral mechanisms underlying attention, reward processing, and perceptual decision-making. The lab investigates how reward and attention interact to shape perception and behavior, using neuroimaging (fMRI), behavioral experiments, and immersive technologies such as virtual and augmented reality. Key research directions include attentional control, multisensory integration, and the development of novel haptic and spatial interaction techniques for virtual environments.

attentional controlreward processinghaptic feedbackvirtual realityneuroimaging

Research Overview

Papers
77
Total Citations
910
Papers (5y)
49
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
49total
2022
2023
2024
2025
2026
Citations per year (5y)
198total
20222023202420252026

Selected Papers

15
1
Article|295 citations·2001
Factors Associated With Food Insecurity Among U.S. Elderly Persons: Importance of Functional Impairments
Jeongmi Lee, EA Frongillo
SJR Q1The Journals of Gerontology Series BOA

OBJECTIVES: The authors examined factors associated with the food insecurity of elderly persons in the United States and particularly how functional impairments were associated with food insecurity. METHODS: Data were from the Third National Health and Nutrition Examination Survey (1988-94) and the Nutrition Survey of the Elderly in New York State (1994). The authors used multiple logistic regression and a hierarchical logistic regression analyses to examine how functional impairments as well as

General Health ProfessionsHealth Professions
2
Article|82 citations·2010
Top-down and bottom-up attentional guidance: investigating the role of the dorsal and ventral parietal cortices
Sarah Shomstein, Jeongmi Lee, Marlene Behrmann
SJR Q3Experimental Brain ResearchOA
Cognitive NeuroscienceNeuroscience
3
Article|71 citations·2013
Reward-Based Transfer From Bottom-Up to Top-Down Search Tasks
Jeongmi Lee, Sarah Shomstein
SJR Q1Psychological ScienceOA

Recent evidence has suggested that reward modulates bottom-up and top-down attentional selection and that this effect persists within the same task even when reward is no longer offered. It remains unclear whether reward effects transfer across tasks, especially those engaging different modes of attention. We directly investigated whether reward-based contingency learned in a bottom-up search task was transferred to a subsequent top-down search task, and probed the nature of the transfer mechani

Cognitive NeuroscienceNeuroscience
4
Article|57 citations·2013
The Differential Effects of Reward on Space- and Object-Based Attentional Allocation
Jeongmi Lee, Sarah Shomstein
SJR Q1Journal of NeuroscienceOA

Estimating reward contingencies and allocating attentional resources to a subset of relevant information are the most important contributors to increasing adaptability of an organism. Although recent evidence suggests that reward- and attention-based guidance recruits overlapping cortical regions and has similar effects on sensory responses, the exact nature of the relationship between the two remains elusive. Here, using event-related fMRI on human participants, we contrasted the effects of rew

Cognitive NeuroscienceNeuroscience
5
Article|45 citations·2021
Adjusting Relative Translation Gains According to Space Size in Redirected Walking for Mixed Reality Mutual Space Generation
Dooyoung Kim, Jae‐Eun Shin, Jeongmi Lee, Woontack Woo

We propose the concept of relative translation gains, a novel Redirected Walking (RDW) method to create a mutual movable space between the Augmented Reality (AR) host's reference space and the Virtual Reality (VR) client's space. Previous RDW methods have focused on maximizing the movable space at the expense of aligning the coordinates between the AR and VR side, and could only be applied to collaborative scenarios involving sequential tasks. Our method solves these problems by adjusting the re

Human-Computer InteractionComputer Science
6
Article|37 citations·2022
The Effect of Multisensory Pseudo-Haptic Feedback on Perception of Virtual Weight
Jinwook Kim, Seonghyeon Kim, Jeongmi Lee
SJR Q1IEEE AccessOA

Providing realistic haptic feedback of virtual objects is critical for immersive VR experience, and there have been many approaches to simulate haptic properties. Most of them, however, are limited to a narrow modulation range of simulated perception. To overcome this limitation, the current paper examines the effect of multisensory pseudo-haptic feedback that combines control-to-display (C/D) ratio manipulation and electrical muscle stimulation (EMS) on simulated weight perception. In two exper

Human-Computer InteractionComputer Science
7
Article|30 citations·2016
Idiosyncratic Patterns of Representational Similarity in Prefrontal Cortex Predict Attentional Performance
Jeongmi Lee, Joy J. Geng
SJR Q1Journal of NeuroscienceOA

The efficiency of finding an object in a crowded environment depends largely on the similarity of nontargets to the search target. Models of attention theorize that the similarity is determined by representations stored within an "attentional template" held in working memory. However, the degree to which the contents of the attentional template are individually unique and where those idiosyncratic representations are encoded in the brain are unknown. We investigated this problem using representa

Cognitive NeuroscienceNeuroscience
8
Article|27 citations·2018
Dynamics of Feature-based Attentional Selection during Color–Shape Conjunction Search
Jeongmi Lee, Carly J. Leonard, Steven J. Luck, Joy J. Geng
SJR Q1Journal of Cognitive NeuroscienceOA

Feature-based attentional selection is accomplished by increasing the gain of sensory neurons encoding target-relevant features while decreasing that of other features. But how do these mechanisms work when targets and distractors share features? We investigated this in a simplified color–shape conjunction search task using ERP components (N2pc, P D , and SPCN) that index lateralized attentional processing. In Experiment 1, we manipulated the presence and frequency of color distractors while hol

Cognitive NeuroscienceNeuroscience
9
Article|23 citations·2022
Exploration of the Virtual Reality Teleportation Methods Using Hand-Tracking, Eye-Tracking, and EEG
Jinwook Kim, Hyunyoung Jang, Dooyoung Kim, Jeongmi Lee
SJR Q1International Journal of Human-Computer Interaction

Although recent developments in VR tracking technology have enabled VR to become more portable and convenient, VR must overcome limited traversable space to be used for more general purposes. Since future VR HMDs aim to embed bio-sensors, such as eye-tracking and electroencephalography (EEG), the present study investigates how bio-sensors could be integrated into VR locomotion and how usability could be improved. In this paper, teleportation methods were developed by combining eye-tracking, EEG,

Human-Computer InteractionComputer Science
10
Article|22 citations·2019
Flexible weighting of target features based on distractor context
Jeongmi Lee, Joy J. Geng
SJR Q1Attention Perception & PsychophysicsOA
Cognitive NeuroscienceNeuroscience
11
Article|13 citations·2021
Top-down, bottom-up, and history-driven processing of multisensory attentional cues in intellectual disability: An experimental study in virtual reality
Jinwook Kim, Eugene Hwang, Heesook Shin, Youn-Hee Gil, Jeongmi Lee
SJR Q1PLoS ONEOA

Models of attention demonstrated the existence of top-down, bottom-up, and history-driven attentional mechanisms, controlled by partially segregated networks of brain areas. However, few studies have examined the specific deficits in those attentional mechanisms in intellectual disability within the same experimental setting. The aim of the current study was to specify the attentional deficits in intellectual disability in top-down, bottom-up, and history-driven processing of multisensory stimul

Cognitive NeuroscienceNeuroscience
12
Article|5 citations·2010
Reward Driven Prioritization Modulates Object-based Attention in Human Visual Cortex
Jeongmi Lee, Sarah Shomstein
SJR Q1Journal of VisionOA

Most of the recent evidence suggests that stimuli that are rewarded strongly attract visual attention and consequently modulate neural activity in the visual cortex. This raises a possibility that reward and attentional systems in the brain are greatly interconnected. However, to date, control mechanisms of attentional and reward systems have been investigated independently, and the nature of this relationship remains poorly understood. To investigate the neural mechanisms of reward and attentio

Cognitive NeuroscienceNeuroscience
13
Article|4 citations·2013
Revision of the Mental Fitness Scale : Validation and Confirmatory Factor Analysis
Jeongmi Lee, Dohee Bae, Jong‐Min Woo
Journal of Korean Neuropsychiatric Association

ObjectivesZZThe purpose of this study was to correct the statistical errors in the previous article on “The Development of the ‘Mental Fitness’ Scale” (MFS) and to confirm the validity of factor structure via confirmatory factor analysis. MethodsZZBased on re-analysis of the factor structure of 25 preliminary items using the original dataset, we identified 22 items of the MFS and assessed test-retest reliability. Concurrent validity was assessed by correlating the new set of MFS with total score

Social PsychologyPsychology
14
Article|3 citations·2020
Tax-Motivated Income-Shifting:Empirical Evidence from Korean Multinationals
Jeongmi Lee
Korean Journal of Taxation Research
AccountingBusiness, Management and Accounting
15
Article|3 citations·2023
Attention-based automatic editing of virtual lectures for reduced production labor and effective learning experience
Eugene Hwang, Jeongmi Lee
SJR Q1International Journal of Human-Computer Studies
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Human-Computer InteractionCognitive NeuroscienceComputer Vision and Pattern RecognitionInformation SystemsExperimental and Cognitive PsychologySocial Psychology

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