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Inki Kim
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2020 – today
- 2024
- [c11]Srikar Annamraju, Paul Jeziorczak, Qianhe Ye, Inki Kim:
Digital-Twin for Surgical Tool-Tissue Interaction: A Systems Perspective. ANNSIM 2024: 1-13 - [c10]Chris Hartman, Inki Kim, Jeeheon Ryu:
Conceptualizing Collaborative Team Learning in XR for Medical Education and Training. HCI (25) 2024: 44-63 - 2023
- [c9]Ginikachi Anyene, Anthony Nepomuceno, Inki Kim, Celeste Schultz:
Digital Twin and Agent-Based Simulation: Co-Simulation to Support Intelligent Navigation of Healthcare Mobile Robot. ANNSIM 2023: 208-219 - 2022
- [c8]Inki Kim, Anthony Nepomuceno, Shandra Jamison, Jon Michel, Thenkurussi Kesavadas:
Extensive Simulation Of Human-Robot Interaction For Critical Care Telemedicine. ANNSIM 2022: 329-340 - [c7]Inki Kim, Mukhil Umashankar:
A Real-Time Analysis of Human Performance in Interactive and Adaptive Mixed-Reality Simulation. CHASE 2022: 198-202 - [c6]Ansh Sharma, Keerthana Nallamotu, Mukhilshankar Umashankar, Shenlong Wang, Inki Kim:
Deep-Learning Enabled Assessment of Neurocognitive Performance in Object Following in Mixed Reality. CHASE 2022: 203-207 - 2021
- [j5]Joohoon Kim, Ahsan Sarwar Rana, Yeseul Kim, Inki Kim, Trevon Badloe, Muhammad Zubair, Muhammad Qasim Mehmood, Junsuk Rho:
Chiroptical Metasurfaces: Principles, Classification, and Applications. Sensors 21(13): 4381 (2021) - [c5]Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes:
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. ICCV 2021: 13158-13168 - 2020
- [c4]Erfan Pakdamanian, Nauder Namaky, Shili Sheng, Inki Kim, James Arthur Coan, Lu Feng:
Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data. AutomotiveUI (adjunct) 2020: 27-29
2010 – 2019
- 2019
- [j4]Chris Gay, Barry M. Horowitz, John J. Elshaw, Philip Bobko, Inki Kim:
Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation. IEEE Access 7: 36371-36379 (2019) - [c3]Wen Ding, Sonwoo Kim, Daniel Xu, Inki Kim:
Can Intelligent Agent Improve Human-Machine Team Performance Under Cyberattacks? IHSI 2019: 725-730 - [c2]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng:
A Case Study of Trust on Autonomous Driving. ITSC 2019: 4368-4373 - [i5]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng:
A Case Study of Trust on Autonomous Driving. CoRR abs/1904.11007 (2019) - [i4]Trevon Badloe, Inki Kim, Junsuk Rho:
Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning. CoRR abs/1910.12465 (2019) - [i3]Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes:
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. CoRR abs/1912.07773 (2019) - 2018
- [j3]Abhiraj Deshpande, Inki Kim:
The effects of augmented reality on improving spatial problem solving for object assembly. Adv. Eng. Informatics 38: 760-775 (2018) - [c1]Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown:
Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. WSC 2018: 2447-2458 - [i2]Erfan Pakdamanian, Lu Feng, Inki Kim:
The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve. CoRR abs/1810.07294 (2018) - [i1]Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown:
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems. CoRR abs/1811.00981 (2018) - 2016
- [j2]Hyun-Sik Kim, Inki Kim, Kyungsik Han, Donghyun Kim, Jong-Soo Seo, Mingoo Kang:
An Adaptive Buffering Method for Practical HTTP Live Streaming on Smart OTT STBs. KSII Trans. Internet Inf. Syst. 10(3): 1416-1428 (2016) - 2015
- [j1]Inki Kim, Jang Hyeon Jo:
Performance Comparisons Between Thumb-Based and Finger-Based Input on a Small Touch-Screen Under Realistic Variability. Int. J. Hum. Comput. Interact. 31(11): 746-760 (2015)
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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