Inki Kim

Inki Kim
Inki Kim
  • Research Assistant Professor
(217) 300-5821
1206 CSL Studio

Education

  • BS in Industrial Engineering, February 2005, Seoul National University
  • MS in Industrial Engineering, February 2007, Seoul National University
  • PhD in Industrial and Manufacturing Engineering, August 2015, The Pennsylvania State University

Academic Positions

  • Assistant Professor, University of Virginia, 2015 - 2018
  • Research Assistant Professor, University of Illinois Urbana-Champaign, 2024 - Present

Other Professional Employment

  • Vice President, Life Metrics Inc, Peoria IL, 2025
  • Chief Operating Officer (COO), Medulate Inc, State College PA, 2024

Resident Instruction

  • Design of Experiments (SYS 4036/6036), SP 2016 - SP 2018, University of Virginia
  • Human Machine Interface (SYS 3023/6007), FA 2016 - FA 2017, University of Virginia
  • Software Engineering for Health Technology (HT 504), SP 2025
  • Introduction to Human Factors (IE340), SP 2025

Course Development

  • Design of Experiments, University of Virginia

Design Teams

  • Anushree Vaida, Capstone Project, MS-HT Program, FA 2024 - SP 2025

Research Interests

  • Engineering human-system dynamics in healthcare through simulation and modeling

Chapters in Books

  • Kim I, Pakdamanian E, Hiremath V. (2020) The Fundamentals and Emerging Trends of Neuroergonomics Application to Driving and Navigation. In: Nam C (ed.) Neuroergonomics. Springer, Cham. 
  • Guo X, Cui L, Park B, Ding W, Lockhart M, Kim I. (2019) How Will Humans Cut Through Automated Vehicle Platoons in Mixed Traffic Environments? A Simulation Study of Drivers’ Gaze Behaviors Based on the Dynamic Areas of Interest. In: Adams S, Beling P, Lambert J, Scherer W, Fleming C (eds) Systems Engineering in Context. Springer, Cham. 
  • I Kim, B Jin, S Baek, A Kim, Y Ji, M Yun. (2007) A New Framework of Measuring the Business Values of Software. In: Human-Computer Interaction. Interaction Design and Usability, Springer (pp 559-568).
  • I Kim, K Lee, W Chang, M Yun. (2007) Statistical Modeling of Affective Responses from Visual and Auditory Attributes in the Movies. In: Aykin N (ed.) Usability and Internationalization. Global and Local User Interfaces, vol. 4560. Lecture Notes in Computer Science, Springer, Berlin Heidelberg (pp 397-406). 

Selected Articles in Journals

  • I. Kim, M. Yun, C. Lee. A Comparison of Modeling Methods for a Luxuriousness Model of Mobile Phones. Journal of the Ergonomics Society of Korea, (pp. 161 -172): 25, 2006.
  • J. Lee, C. Lee, I. Kim, M. Yun. Development of a Ride-comfort Model for Korea Train eXpress (KTX) Passengers. Journal of the Ergonomics Society of Korea, (pp. 87-92): 26(1), 2007.
  • C. Lee, Y. Suh, I. Kim, J. Park, M. Yun. A systematic framework for evaluating design concepts of a new product. Human Factors and Ergonomics in Manufacturing & Service Industries, (pp. 424-442):20(5), 2010.
  • Ι. Kim, J. Jo. Performance Comparisons Between Thumb-based and Finger-based Input on a Small Touch-Screen under Realistic Variability. International Journal of Human-Computer Interaction, 2015. 31(11): 746-760.
  • A. Deshpande, I. Kim. The effects of augmented reality on improving spatial problem-solving and mental representation in ready-to-assemble products. Advanced Engineering Informatics, pp (760-775): 38, 2018.
  • C. Gay, B. Horowitz, P. Bobko, J. Elshaw, I. Kim. Operator suspicion and human-machine team performance under mission scenarios of unmanned ground vehicle operation, IEEE Access, pp (99): 1-1, 2019.
  • Lee M, Gozalian M, Kim I. A new color index for vegetation segmentation and classification. Precision Agriculture (pp. 179-204): 22-1, 2021.
  • Cohen M, Kim I, Rehg J, Brown C, Jamison S, Vogel M, et al. Understanding Sepsis Bundle Compliance Perceptions using Dimensional Representation of Survey Responses from Frontline Care Providers. Intern Med. 2023;13(426).
  • Ki S, Park S, Ryu J, Kim J, Kim I, Alone but not Isolated: Social Presence and Cognitive Load in Learning with 360 Virtual Reality Videos, Frontiers in Psychology 15(2024):1305477.
  • Anyene G, Nepomuceno A, Schultz C, Sharp L, Kim I, Digital-Twin Co-Simulation Framework to Support Informed Decision in Healthcare Planning and Management, Simulation. 2024: 00375497241283047.

Articles in Conference Proceedings

  • J. Park, I. Kim, M. Yun. Evaluating the Cultural Fitness of User Interface: an Analysis Paradigm for In-Vehicle Information Systems Display. In proceedings of the 11th International Conference on Human-Computer Interaction, 2005.
  • I. Kim, J. Lee, B. Jin. Development of structural models of ride comfort for high speed rail passengers using a quantification method. In proceedings of the 9th Korea-Japan Joint Symposium on Ergonomics, (pp. 596-599), 2006.
  • I. Kim, B. Jin, J. Lee, C. Lee, Y. Ji, M. Yun. Development of Structural Models of Ride Comfort for High Speed Rail Passengers using a Quantification Method. In proceedings of the 16th World Congress on Ergonomics (IEA), 2006.
  • I. Kim, H. Kim, C. Lee, W. Chang, M. Yun. Identification of Visual and Auditory Design Attributes for the Affective Interaction Design in Movies. In proceeding of the10th Symposium on Human-Machine Systems (IFAC), 2007.
  • I. Kim, J. Jo. Adjusting Fitts’ Paradigm for Small Touch-Sensitive Input Device with Large Group of Users, In proceedings of the 2012 Human Factors and Ergonomics Society Annual Meeting (pp. 1892-1896), 2012.
  • I. Kim, G. Kremer. Analytic Scheme to Organize Large Archived Data into Hierarchical Affinity: a Case of ADVERSE Outcome Reports of the FDA Database, In proceedings of the 2013 Institute of Industrial Engineers (IIE) Annual Conference, 2013. (Best Student Paper)
  • I. Kim, S. Miller, A. Freivalds. Motion Analysis as an Evaluation Framework for Eye-Hand Coordination: A Case Study in Ultrasound-guided Catheter Insertion. In proceedings of the 2014 ASME International Design Engineering Technical Conference (IDETC), 2014.
  • I. Kim, S. Miller, A. Freivalds. Using Learning Curves to Assess Resident Surgical Skill Acquisition: a Case Study of Ultrasound-guided Catheter Insertion. In proceedings of the 2014 Human Factors and Ergonomics Society Annual Meeting (pp. 2350-2354), 2014. (Alphonse-Chapanis Best Student Paper Finalist)
  • B. Cornell, I. Kim, G. Kremer. User Sentiments in Online Forums to Evaluate and Visualize Features in Multiple-Generation Products. In proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC) (pp. 1-10), 2015.
  • A. Gordon, I. Kim, A. Barnett, J. Moore. Needle Insertion Force Model for Haptic Simulation. In proceedings of the 2015 ASME International Manufacturing Science and Engineering Conference, 2015.
  • I. Kim, S. Miller, A. Gordon. Stochastic Event Detection in Needle-Tissue Interaction. In proceedings of the 2015 ASME International Design Engineering Technical Conference (IDETC), 2015.
  • C. Gay, B. Horowitz, P. Bobko, J. Elshaw, I. Kim. Operator Suspicion and Decision Responses to Cyber-Attacks on Unmanned Ground Vehicle Systems. In proceedings of the 2017 Human Factors and Ergonomics Society Annual Meeting (pp. 226-230), 2017.
  • R. Zhu, A. Deshpande, M. Lockhart, I. Kim. Analysis and Design of Interface for a Bio-Inspired Underwater Vehicle (BUV): Toward an Optimized Blend of Knowledge-driven and Intuitive Control. In proceedings of the 2017 Human Factors and Ergonomics Society Annual Meeting (pp. 1725-1729), 2017.
  • A. Chang, M. Ennis, N. Fabian, A. Holbrook, E. Kayton, M. McCarthy, I. Kim. Development of Performance Metrics for Automated Evaluation of Surgeons’ Performance under Simulation-Based Training. In proceedings of the 2017 IEEE Systems and Information Engineering Design Symposium (SIEDS) (pp. 128-131), 2017.
  • E. Pakdamanian, I. Kim. The effect of whole-body haptic feedback on drivers’ perception in a curve. In proceedings of the 2018 Human Factors and Ergonomics Society Annual Meeting (pp. 19-23), 2018.
  • B. An, I. Kim, E. Pakdamanian, D. Brown. Exploring gaze behavior to assess performance in digital game-based learning systems. In Proceedings of the 2018 Winter Simulation Conference (WSC), 2018.
  • B. Brown, D. Park, B. Sheehan, S. Shikoff, J. Solomon, J. Yang, I. Kim. Assessment of human driver safety at dlemma zones with automated vehicles through a virtual reality environment. In proceedings of the 2018 IEEE Systems and Information Engineering Design Symposium (SIEDS) (pp. 185-190), 2018.
  • Pennetti C, Hollenback K, Kim I, Lambert J. Cognitive Load Variability from Road Characteristics Should Influence a Safety Requirement for Vehicle Stopping Sight Distance. In proceedings of the 2019 Human Factors and Ergonomics Society Annual Meeting, (pp. 2129-2133), 2019.
  • W. Ding, S. Kim, D. Xu, I. Kim. Can intelligent agent improve human-machine team performance under cyberattacks? In proceedings of the 2019 International Conference on Intelligent Human Systems Integration (pp. 725-730), 2019.
  • Heidarysafa M, Dalpe S, Kiefner S, Pakdamanian E, Kim I, Brown D, Warren J. Exploring the experiential impact of online propaganda using eye-gaze and pupil dilation: A comparison across three ideological groups. In proceedings of the 2019 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation, 2019.
  • Pakdamanian E, Namaky N, Sheng S, Kim I, Coan J, Feng L. Toward minimum startle after take-over request: A preliminary study of physiological data, In proceedings of the 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 27-29), 2020.
  • Sridhar S, Kwon Y, Cho Y, Kim I. An adaptive fuzzy modeling of visual attention in real-world interaction with information system. In proceedings of the 2020 Human Factors and Ergonomics Society Annual Meeting (pp. 249-253), 2020.
  • Guo X, Jiang Y, Kim I. Interacting with autonomous platoons: Human driver’s adaptive behaviors in planned lane changes. In proceedings of the 2020 IEEE Systems and Information Engineering Design Symposium (pp. 1-5), 2020.
  • Baee S, Pakdamanian E, Kim I, Feng L, Ordonez V, Barnes L. MEDIRL: Predicting the visual attention of drivers via maximum entropy deep inverse reinforcement learning. In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 13178-13188), 2021.
  • Kim I, Nepomuceno A, Michel J, Jamison S, Kesavadas T, Extensive Simulation of Human-Robot Interaction for Critical Care Telemedicine. In Proceedings of the 2022 Annual Modeling and Simulation Conference (ANNSIM’ 22), San Diego, 2022.
  • Sharma A, Nallamotu K, Umashankar M, Wang S, Kim I, Deep-Learning based Neurocognitive Performance Testing via Object Following in Mixed Reality. 2022. In Proceedings of ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies.
  • Kim I, Umashankar M, A Real-Time Analysis of Human Performance in Interactive and Adaptive Mixed-Reality Simulation. 2022. In Proceedings of ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies.
  • Anyene G, Nepomuceno A, Schultz C, Kim I, Digital Twin and Agent-Based Simulation: Co-Simulation to Support Intelligent Navigation of Healthcare Mobile Robot. In Proceedings of the 2023 Annual Modeling and Simulation Conference (ANNSIM ‘23), Mohawk College, ON, Canada, 2023.
  • Lee S, Yang E, Ryu J, Kim I, Designing a Framework for Team-Based XR Simulation. 2024 Society for Information Technology & Teacher Education (SITE) International Conference, Las Vegas, Nevada, March 25 – 29, 2024.
  • Hartman C, Kim I, Ryu J, Conceptualizing Collaborative Team Learning in XR for Medical Education and Training. 2024 HCI International Conference, Washington DC, July 2 – 4, 2024.
  • Nepomuceno A, Kim I, Schultz C, Cao C, Immersive Digital-Twin Simulation-Driven Nursing Education and Job Training, IISE Annual Conference & Expo, May 18-21, Montreal, Canada, 2024.
  • Annamraju S, Ye Q, Jeziorczak P, Kim I, Digital Twin for Surgical Tool-Tissue Interaction: Systems Perspective, In Proceedings of the 2024 Annual Simulation Conference (ANNSIM ‘24), May 20-23, 2024, American University, DC, USA.

Abstracts (in print or accepted)

  • Rusch M, Henley D, Pool A, Tu A, Creeden S, Maksimovic J, Mello-Thoms C, Kim I, A Pilot Study to Investigate Innovative and Compatible Interfaces for Radiological Viewing to Offset Fatigue [Oral Presentation session]. 2024 IAMSE Annual Conference, Minneapolis, Minnesota.
  • Jeziorczak P, Liu Y, Li S, Sun S, Kim I, Acquisition of Cardiopulmonary Resuscitation Skills in Mixed Reality for Effective Discharge Training of the Families of Pediatric Patient, Surgeons and Engineers: A Dialogue on Surgical Simulation, March 13, Chicago, Illinois, 2024.

Patents

  • I. Kim, A. Cross. Systems and Methods of Providing Deep Learning Based Neurocognitive Impairment Evaluation Using Extended Reality. UIUC2022-170-01 (Under Review).
  • S. Miller, J. Moore, D. Han, K. Mirkin, D. Pepley, M. Yovanoff, I. Kim, Dynamic Haptic Robotic Trainer, US Application No. 62/377, 149 (Issued: Aug 19, 2016).

Magazine Articles

  • I. Kim, G. Kremer, B. Cornell. “Examining Consumer Emotions: Tapping Wealth of Information in Online Forums Can Boost Next-Generation Product Design”, Industrial Engineer, 2016, 48(4).
  • I. Kim, B. Horowitz. “How Do We Prepare the People Who Will Need to Manage the Real-Time Responses to Cyber Attacks on Physical Systems?” Systems Engineering Research Center (SERC) Webinar Series, August 2, 2017.
  • Miller S, Moore J, Kim I. “NIH Grant Will Support Central Venous Catheter Insertion Training” Penn State News, March 27, 2015. https://www.ime.psu.edu/news-archive/2015/miller-scarlett-nih-grant.aspx
  • H. Alemzadeh, N. Schenkman, I. Kim. “Safer Surgery: Engineer Seeks to Refine Robot-Assisted Operations”, UVA Today, May 04, 2018. https://news.virginia.edu/content/how-much-would-you-trust-autonomous-vehicle
  • I. Kim, L. Feng. “How Much Would You Trust an Autonomous Vehicle?” UVA Today, April 17, 2018. https://news.virginia.edu/content/how-much-would-you-trust-autonomous-vehicle
  • S. Baee, E Pakdamanian, V. Ordonez, I. Kim, L. Feng. “EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles”, iMotions, December 25, 2019. https://imotions.com/publications/eyecar-modeling-the-visual-attention-allocation-of-drivers-in-semi-autonomous-vehicles/
  • T. Kesavadas, A. Muralidharan, I. Kim. “University of Illinois at Urbana-Champaign Creates Extracorporeal Membrane Oxygenation (ECMO) Training Simulator through Interdisciplinary Collaboration”, Dense Medical Network, December 09, 2021.
  • M. Cohen, I. Kim, R. Galvez, “Carle Illinois Students Perform Holographic Clinical Simulation with Asthmatic Patient, View Impact on the Lung, and Debrief”, GigXR, November 19, 2022. https://vimeo.com/772895813

Conferences Organized or Chaired

  • General Chair, the 1st Interdisciplinary Workshop on XR + AI Integration for Healthcare Applications, the IEEE/ACM CHASE 2022, Washington DC, November 17-19
  • Organized the meeting on “Digital Computing for TBI Assessment, Diagnosis, and Management”, supported by the National Center for Supercomputing Applications, Urbana, IL, May 1, 2024.
  • Co-organized the parallel session on “Human Interaction Principles for the Design of XR-Based Environments”, the 26th HCI International 2024, Washington DC, 29 June – 4 July.
  • Program Committee of the Digital Twin and CPS track, the Society for Modeling & Simulation International (SCS), 2022 - 2025

Professional Societies

  • Panelist for multiple programs at the National Science Foundation, 2016 - 2025

Teaching Honors

  • Ignite Scholar, Center for Teaching Excellence, University of Virginia (2016)
  • The Faculty of The Year, Korean Scientists and Engineers Association (2018)

Research Honors

  • Distinguished Paper Award, Ergonomics Society of Korea (2007)
  • Best Student Paper, Computer & Information Systems Division, Institute of Industrial Engineers (2013)
  • Alphonse Chapanis Best Student Paper Award (Finalist), Human Factors and Ergonomic Society (2014)
  • Faculty fellow, The National Center for Supercomputing Applications, UIUC (2023)

Recent Courses Taught

  • HT 504 - Software Eng Health Tech
  • IE 340 (PSYC 358) - Human Factors