Performance Comparisons Between Thumb-Based and Finger-Based Input on a Small Touch-Screen Under Realistic Variability. - Inki Kim; Jang Hyeon Jo (Int. J. Hum. Comput. Interact., 2015)

An Adaptive Buffering Method for Practical HTTP Live Streaming on Smart OTT STBs. - Hyun-Sik Kim; Inki Kim; Kyungsik Han; Donghyun Kim 001; Jong-Soo Seo; Mingoo Kang (KSII Trans. Internet Inf. Syst., 2016)

Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. - Brian An; Inki Kim; Erfan Pakdamanian; Donald E. Brown (WSC, 2018)

The effects of augmented reality on improving spatial problem solving for object assembly. - Abhiraj Deshpande; Inki Kim (Adv. Eng. Informatics, 2018)

The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve. - Erfan Pakdamanian; Lu Feng 001; Inki Kim (CoRR, 2018)

Can Intelligent Agent Improve Human-Machine Team Performance Under Cyberattacks? - Wen Ding 006; Sonwoo Kim; Daniel Xu; Inki Kim (IHSI, 2019)

A Case Study of Trust on Autonomous Driving. - Shili Sheng; Erfan Pakdamanian; Kyungtae Han; BaekGyu Kim; Prashant Tiwari; Inki Kim; Lu Feng 001 (ITSC, 2019)

Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation. - Chris Gay; Barry M. Horowitz; John J. Elshaw; Philip Bobko; Inki Kim (IEEE Access, 2019)

Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning. - Trevon Badloe; Inki Kim; Junsuk Rho (CoRR, 2019)

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. - Sonia Baee; Erfan Pakdamanian; Vicente Ordonez; Inki Kim; Lu Feng 001; Laura E. Barnes (CoRR, 2019)

Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data. - Erfan Pakdamanian; Nauder Namaky; Shili Sheng; Inki Kim; James Arthur Coan; Lu Feng 001 (AutomotiveUI (adjunct), 2020)

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. - Sonia Baee; Erfan Pakdamanian; Inki Kim; Lu Feng 001; Vicente Ordonez; Laura E. Barnes (ICCV, 2021)

Chiroptical Metasurfaces: Principles, Classification, and Applications. - Joohoon Kim; Ahsan Sarwar Rana; Yeseul Kim; Inki Kim; Trevon Badloe; Muhammad Zubair 002; Muhammad Qasim Mehmood; Junsuk Rho (Sensors, 2021)

Extensive Simulation Of Human-Robot Interaction For Critical Care Telemedicine. - Inki Kim; Anthony Nepomuceno; Shandra Jamison; Jon Michel; Thenkurussi Kesavadas (ANNSIM, 2022)

A Real-Time Analysis of Human Performance in Interactive and Adaptive Mixed-Reality Simulation. - Inki Kim; Mukhil Umashankar (CHASE, 2022)

Deep-Learning Enabled Assessment of Neurocognitive Performance in Object Following in Mixed Reality. - Ansh Sharma; Keerthana Nallamotu; Mukhilshankar Umashankar; Shenlong Wang; Inki Kim (CHASE, 2022)

Digital Twin and Agent-Based Simulation: Co-Simulation to Support Intelligent Navigation of Healthcare Mobile Robot. - Ginikachi Anyene; Anthony Nepomuceno; Inki Kim; Celeste Schultz (ANNSIM, 2023)

Digital-Twin for Surgical Tool-Tissue Interaction: A Systems Perspective. - Srikar Annamraju; Paul Jeziorczak; Qianhe Ye; Inki Kim (ANNSIM, 2024)

Conceptualizing Collaborative Team Learning in XR for Medical Education and Training. - Chris Hartman; Inki Kim; Jeeheon Ryu (HCI (25), 2024)

MetaFormer: High-fidelity Metalens Imaging via Aberration Correcting Transformers. - Byeonghyeon Lee; Youbin Kim; Yongjae Jo; Hyunsu Kim; Hyemi Park; Yangkyu Kim; Debabrata Mandal; Praneeth Chakravarthula; Inki Kim; Eunbyung Park (CoRR, 2024)

Digital-twin co-simulation framework to support informed decision in healthcare planning and management. - Ginikachi Anyene; Celeste Schultz; Anthony Nepomuceno; Inki Kim (Simul., 2025)

Estimation of Tissue Deformation and Interactive Force in Robotic Surgery through Vision-based Learning. - Srikar Annamraju; Yuxi Chen; Jooyoung Lim; Inki Kim (CoRR, 2025)