PUBLICATIONS
 

Refereed Journal Articles | Edited Book | Book Chapters  Refereed Conference Proceedings Magazine Articles | Media Press 



Refereed Journal Articles:   

  1. Kim, H., Jeon, G., Lee, S., Jun, S.C., Jung, J-Y., & *Nam, C. S. (in review). The Dynamics of Beliefs in Social Decision-Making: Insights from Intra- and Inter-Brain Neural Networks.  Scientific Reports.
  2. Lee, J., Hong, J., Nam, C. S., & Lee, S.  (under revision). Design Recommendations for a Smart TV Interface Supporting Co-viewing Based on Users’ Mental Models of Content Browsing and Its User Evaluation. International Journal of Human-Computer Interaction
  3. Yoon, H., Jeon, G., Nam, C. S., & Lee, S. (under revision). Exploring Personalized Explanation Methods in Fintech Decision-Making Chatbot based on User Characteristics using Large Language Model. International Journal of Human-Computer Interaction    
  4. Iyer, H., Kim, E., Nam, C. S., & Jeong, H. (2025). A Scoping Review on Emerging Technologies and Automation of Musculoskeletal Ergonomic Assessments. Ergonomics, 1-26
  5. Kim, H., Kim, S., Jun, S. C., & *Nam, C. S. (2025). Is what I think what you think? Multilayer network-based inter-brain synchrony approach. Social Cognitive and Affective Neuroscience, 20(1), nsaf028.
  6. Iyer, H., Reynolds, J., Nam, C. S., & Jeong, H. (2024). Exploring Restaurant Worker Mental Models of Injury and Safety using Pathfinder Networks. IISE Transactions on Occupational Ergonomics and Human Factors, 12(4), 265-273.
  7. †Choo, S., Park, H., Jung, J-Y., Flores, K., & *Nam, C. S. (2024). Improving Classification Performance of Motor Imagery BCI through EEG Data Augmentation with Conditional Generative Adversarial Networks. Neural Networks, 180, 106665. 
  8. Seebold, P., He, Y., & *Nam, C. S. (2024). Effects of Looming Audio on Transcranial Magnetic Stimulation Induced Phosphene Perception. Journal of Neuropsychology, 18(3): 441-451.
  9. Ghasemi, Y., Bayro, A., MacDonald, J., Jeong, H., Reynolds, J., & Nam, C. S. (2023). Embedding Spatial Augmented Reality in Culinary Training: A Comparative Evaluation of sAR Kitchen and Video Tutorials. IEEE Transactions on Learning Technologies, 17, 765-775. 
  10. †Huang, J., †Pugh, Z., Kim, S., & *Nam, C. S. (2024). Brain Dynamics of Mental Workload in a Multitasking Context: Evidence from Dynamic Causal Modeling. Computers in Human Behavior, 152, 108043. 
  11. Park, D., Park, H., Kim, S., †Choo, S. Nam, C. S., Lee, S., & Jung, J-Y. (2023). Spatio-temporal explanation of 3D-EEGNet for motor imagery EEG classification using permutation and saliency. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4504-4513 
  12. Won, K., Kim, H., Gown, D., Ahn, M., Nam, C. S., & Jun, S. C. (2023). Can Vibrotactile Stimulation and tDCS Help Inefficient BCI Users? Journal of NeuroEngieerning and Rehabilitation, 20:60 
  13. †Choo, S., Park, H., Kim, S., Park, D., Jung, J-Y., Lee, S., & *Nam, C. S. (2023). Effectiveness of Multi-Task Deep Learning Framework for EEG-based Emotion and Context Recognition. Expert Systems with Applications, 227, 120348. 
  14. Kim, S., †Choo, S., Park, D., Park, H., Nam, C. S., Jung, J-Y., & Lee, S. (2023). Designing an XAI Interface for BCI Experts: A Contextual Design for Pragmatic Explanation Interface Based on Domain Knowledge in a Specific Context. International Journal of Human-Computer Studies, 174, 103009 
  15. Gwon, D., Won, K., Song, M., Nam, C. S., Jun, S. C., & Ahn, M. (2023). A Review of Public Motor Imagery and Execution Datasets in Brain-Computer Interfaces. Frontiers in Human Neuroscience, 17, 1134869.
  16. Chen, M., Peng, C., Wu, H., Huang, C., Kim, T., †Traylor, Z., Muller, M., Chhatbar, P., Nam, C. S., Feng, W., & Jiang, X. (2023). Numerical and Experimental Evaluation of LI-tFUS Wave Propagation Using Human Skulls for Brain Neuromodulation. Medical Physics, 50(1), 38-49. 
  17. †Pugh, Z., Huang, J., Leshin, J., Lindquist, K. A., & *Nam, C. S. (2023). dlPFC Integration in the Emotional Brain Varies by Culture and Gender: Evidence from Dynamic Causal Modeling. Cognitive Neurodynamics, 17, 153-168.
  18. Pflanzer, M., †Traylor, Z., Lyons, J., Dubljević, V., & Nam, C. S. (2022). Ethical Algorithms: The Agent-Deed-Consequence Model Can Address Challenges Associated with Human-AI Teaming Algorithms. AI and Ethics, 3(3), 917-935.
  19. †Huang, J., Jung, J. Y., & *Nam, C. S. (2022). Estimating Effective Connectivity in Alzheimer's Disease Progression: A Dynamic Causal Modeling Study. Frontiers in Human Neuroscience, 16, 1060936. 
  20. Reynolds, J., Jeong, H., & Nam, C. S. (2022). School foodservice directors' national training practices. Journal of Food Safety, 42(6), e13010. 
  21. †Choo, S., & *Nam, C. S. (2022). Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach. IEEE Transactions on Human-Machine Systems, 52(4), 774-783. 10.1109/THMS.2021.3137015. 
  22. Barresi, G., Nam, C. S., Esfahani, E. T., & Balconi, M. (2022). Neuroergonomics in Human-Robot Interaction. Frontiers in Neurorobotics, 16, 1006103.
  23. *Nam, C. S., †Traylor, Z., Chen, M., Jiang, X., Feng W., & Chhatbar, P. Y. (2021) Direct Communication between Brains: A Systematic PRISMA Review of Brain-to-Brain Interfaces. Frontiers in Neurorobotics, 15, 39. 
  24. Rakhmatulin, I., Parfenov, A., †Traylor, Z., Nam, C. S., & Lebedev, M. (2021). Low-cost brain computer interface for everyday use. Experimental brain research, 239(12), 3573-3583. 
  25. †Pugh, Z., †Choo, S., Leshin, J., Lindquist, K. A., & *Nam, C. S. (2021). Emotion depends on context, culture and their interaction: evidence from effective connectivity. Social Cognitive and Affective Neuroscience, 17(2), 206-217. 
  26. Kim, H., Kim, H-K., †Kim, N., & Nam, C. S. (2021) Dual Task Effects on Speed and Accuracy during Cognitive and Upper Limb Motor Tasks in Adults with Stroke Hemiparesis. Frontiers in Human Neuroscience, 15, 297. 
  27. Kim, T., Park, C., Chhatbar, P. Y., Feld, J., MacGrory, B. C., Nam, C. S., Wang, P., Chen, M., Jiang, X., & Feng, W. (2021). Effect of Low Intensity Transcranial Ultrasound Stimulation on Neuromodulation in Systematic Review. Frontiers in Neuroscience, 15, 375. 
  28. Hossaini, A., Mahmud, M., Valeriani, D., Ferrante, R., & Nam, C. S. (2021). A Functional BCI Model by the P2731 working group: Physiology. Brain-Computer Interfaces, 8(3), 54-81.
  29. Easttom, C., Bianchi, L., Valeriani, D., Nam, C. S., Hossaini, A., Zapała, D., Roman-Gonzalez, A., Singh, A. K., Antonietti, A., & Sahonero-Alvarez, G. (2021). A Functional Model for Unifying Brain Computer Interface Terminology. IEEE Open Journal of Engineering in Medicine and Biology, 2, 65-70. 
  30. †Huang, J., †Choo, S., †Pugh, Z. H., & *Nam, C. S. (2021). Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study. Human Factors, 64(6), 1051-1069.
  31. Lyons, J. B., Vo, T., Wynne, K. T., Mahoney, S., Nam, C. S., & Gallimore, D. (2021). Trusting autonomous security robots: The role of reliability and stated social intent. Human Factors, 63(4), 603-618. 
  32. *Nam, C. S., †Choo, S., †Huang, J., & Park, J-Y. (2020). Brain-to-Brain Neural Synchrony during Social Interactions: A Systematic Review on Hyperscanning Studies. Applied Sciences, 10(19), 6669. 
  33. Kim, W., †Kim, N., Lyons, J., & *Nam, C. S. (2020). Factors Affecting Trust in High-Vulnerability Human-Robot Interaction Contexts: A Structural Equation Modelling Approach. Applied Ergonomics, 85, 103056. 
  34. †Choi, I., Kwon, G. H., Lee, S., & *Nam, C. S. (2020). Functional electrical stimulation controlled by motor imagery brain-computer interface for rehabilitation. Brain Sciences, 10(8), 512. 
  35. Feng, J., Sanchez, J., Sall, R., Lyons, J. B., & *Nam, C. S. (2019). Emotional Expressions Facilitate Human-Human Trust When Using Automation in High-Risk Situations. Military Psychology, 31(4), 292-305. 
  36. Kim, W., Jin, B., †Choo, S., Nam, C. S., & Yun, M. H. (2019). Designing of Smart Chair for Monitoring of Sitting Posture using Convolutional Neural Networks. Data Technologies and Applications, 53(2), 142-155. 
  37. †Kim, N., House, R., Yun, M. W., & *Nam, C. S. (2019). Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect. Frontiers in Human Neuroscience, 12: 535. 
  38. Zhang, Y., Nam, C. S., Zhou, G., Jin, J., Wang, X., & Cichocki, A. (2018). Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Transactions on Cybernetics, (99), 1-11. 
  39. †Liu, S., & *Nam, C. S. (2018). Quantitative Modeling of User Performance in Multitasking Environments. Computers in Human Behavior, 84, 130-140. 
  40. Rhiu, I., Bahn, S., Song, J., Nam, C. S., & *Yun, M. H. (2018). Affective Experience of Physical User Interfaces: Similarities and Differences among Control Types. Human Factors and Ergonomics in Manufacturing & Service Industries, 28(2), 56-68. 
  41. Rose, T., *Nam, C. S., & *Chen, K. B. (2018). Immersion of virtual reality for rehabilitation-Review. Applied ergonomics, 69, 153-161. 
  42. Kim, N., Wittenberg, E., and *Nam, C. S. (2017). Behavioral and Neural Correlates of Executive Function: Interplay between Inhibition and Updating Processes. Frontiers in Neuroscience, 11:378. 
  43. Choi, I., Rhiu, I., Lee, Y. S., Yun, M. W., and *Nam, C. S. (2017). A Systematic Review of Hybrid Brain-Computer Interfaces: Taxonomy and Usability Perspectives. PLoS ONE, 12(4), e0176674. 
  44. Wittenberg, E., Thompson, J., *Nam, C. S., and Franz, J. R. (2017). Neuroimaging of Human Balance Control: A Systematic Review. Frontiers in Human Neuroscience, 11:170.
  45. Lee, J-Y., Lindquist K. A., and *Nam, C. S. (2017). Emotional Granularity Effects on Event-Related Brain Potentials during Affective Picture Processing. Frontiers in Human Neuroscience, 11: 133. 
  46. Orphanides, A. K., and *Nam, C. S. (2017). Touchscreen Interfaces in Context: A Systematic Review of Research into Touchscreens across Settings, Populations, and Implementations. Applied Ergonomics, 61, 116-143.
  47. Pankok, C., Zahabi, M., Zhang, W., Choi, I., Liao, Y-F., Nam, C. S., and *Kaber, D. (2017). The Effects of Interruption Similarity and Complexity on Performance in a Simulated Visual-Manual Assembly Operation. Applied Ergonomics, 59, 94-103
  48. White, M., Liu, S., Morejon, O., Lau, M., Nam, C. S., and *Kaber, D. (2017). Muscle loading in exoskeletal orthotic use in an activity of daily living. Applied Ergonomics, 58, 190-197. 
  49. Hocraffer, A., and *Nam, C. S. (2017). A Meta-Analysis of Human-System Interfaces in Unmanned Aerial Vehicle (UAV) Swarm Management. Applied Ergonomics, 58, 66-80. 
  50. Griffin, J., Zhu, W., and *Nam, C. S. (2016). The Role of Haptic Feedback in Robotic-Assisted Retinal Microsurgery Systems: A Systematic Review. IEEE Transactions on Haptics, 10(1), 94-105. 
  51. Li, Y., and *Nam, C. S. (2016). Collaborative Brain-Computer Interface for People with Motor Disabilities. IEEE Computational Intelligence Magazine, 11(3), 56-66. 
  52. Bryant, D., Wang, F., Deardeuff, K., Zoccoli, E., and *Nam, C. S. (2016). The Neural Correlates of Moral Thinking: A Meta-Analysis. International Journal of Computational & Neural Engineering, 3(2), 28-39. 
  53. Corbett, B., *Nam, C. S., and Yamaguchi, T. (2016). The Effects of Haptic Feedback and Visual Distraction on Pointing Task Performance. International Journal of Human-Computer Interaction, 32(2), 89-102. 
  54. Klein, E., and Nam, C. S. (2016). Neuroethics and Brain-Computer Interfaces (BCIs). Brain-Computer Interfaces, 3(3), 123-125.
  55. Wadeson, A., Nijholt, A., and *Nam, C. S. (2015). Artistic brain-computer interfaces: State-of-the-Art Control Mechanisms. Brain-Computer Interfaces, 2(2-3), 60-69. 
  56. Mohammadzadeh, F. F., Liu, S., Bond, K. A., & *Nam, C. S. (2015). Feasibility of a Wearable, Sensor-Based Motion Tracking System. Procedia Manufacturing, 3, 192-199.
  57. Powers, J., Bieliaieva, K., Wu, S., and *Nam, C. S. (2015). The Human Factors and Ergonomics of P300-Based Brain–Computer Interfaces. Brain Sciences, 5, 318-356. 
  58. *Nam, C. S., Whang, M., Liu, S., and Moore, M. (2015). Wayfinding of Users with Visual Impairments in Haptically Enhanced Virtual Environments. International Journal of Human-Computer Interaction, 31(4), 295-306.
  59. *Nam, C. S., Moore, M., Choi, I., and Li, Y. (2015). Designing Better, Cost-Effective Brain–Computer Interfaces. Ergonomics in Design: The Quarterly of Human Factors Applications, 23(4), 13-19. 
  60. Li, Y., Jeon, W. R., and *Nam, C. S. (2015). Navigation by Vibration: Effects of Vibrotactile Feedback on a Navigation Task. International Journal of Industrial Ergonomics, 46, 76-84. 
  61. Nijholt, A., and Nam, C. S. (2015). Arts and Brain-Computer Interface. Brain-Computer Interfaces, 2(2-3), 57-59.
  62. *Nam, C. S., Richard, P., Yamaguchi, T., & Bahn, S. (2014). Does Touch Matter?: The Effects of Haptic Visualization on Human Performance, Behavior and Perception. International Journal of Human-Computer Interaction, 30(11), 839-841. 
  63. Bahn, S., *Nam, C. S., and Corbett, B. (2014). Scenario-Based Observation Approach for Eliciting Haptic User Interface Requirements. International Journal of Human-Computer Interaction, 30(11), 842-854. 
  64. Lee, J., Bahn, S., and *Nam, C. S. (2014). Use of Reference Frame and Movement Pattern in a Haptically Enhanced 3D Virtual Environment. International Journal of Human-Computer Interaction, 30(11), 891-903. 
  65. Li, Y., Bahn, S., *Nam, C. S., and Lee, J. (2014). Effects of Luminosity Contrast and Stimulus Duration on User Performance and Preference in a P300-Based Brain-Computer Interface (BCI). International Journal of Human-Computer Interaction, 30(2), 151-163. 
  66. Kim, H. N., *Smith-Jackson, T. L., and Nam, C. S. (2013). Elicitation of Haptic User Interface Needs of People with Low Vision. International Journal of Human-Computer Interaction, 29(7), 488-500. 
  67. *Nam, C. S., Bahn, S., and Raney, L. (2013). Acceptance of Assistive Technology by Special Education Teachers: A Structural Equation Model Approach. International Journal of Human-Computer Interaction, 29(5), 365-377. 
  68. *Nam, C. S., Li, Y., Yamaguchi, T., and Smith-Jackson, T. L. (2012). Haptic User Interfaces for the Visually Impaired: Implications for Haptically Enhanced Science Learning Systems. International Journal of Human-Computer Interaction, 28(12), 784-798. 
  69. *Nam, C. S., Woo, J., and Bahn, S. (2012). Severe Motor Disability Affects Functional Cortical Differentiation in the Context of BCI Use. Ergonomics, 55(5), 581-591. 
  70. *Nam, C. S. (2012). Brain-Computer Interface (BCI) and Ergonomics. Ergonomics, 55(5), 513-515. 
  71. Jeon, Y., *Nam, C. S., Kim, Y-J., and Whang, M. (2011). Event-Related (De)Synchronization (ERD/ERS) During Motor Imagery Tasks: Implications for Brain-Computer Interfaces. International Journal of Industrial Ergonomics, 41(5), 428-436. 
  72. *Nam, C. S., Jeon, Y., Kim, Y-J., Lee, I., and Park, K. (2011). Movement Imagery-Related Lateralization of Event-Related (De)Synchronization (ERD/ERS): Motor-Imagery Duration Effects. Clinical Neurophysiology, 122(3), 567-577. 
  73. Li, Y., *Nam, C. S., Shadden, B., and Johnson, S. (2011). A P300-based Brain-Computer Interface (BCI): Effects of Interface Type and Screen Size. International Journal of Human-Computer Interaction, 27(1), 52-68. 
  74. *Nam, C. S., Schalk, G., and Jackson, M. M. (2011). Current Trends in Brain–Computer Interface (BCI) Research and Development. International Journal of Human-Computer Interaction, 27(1), 1-4. 
  75. Kim, S., *Lockhart, T., and Nam, C. S. (2010). Leg Strength Comparison among Three Different Age Groups; Are Middle-age Workers Safer than Older Workers? International Journal of Industrial Ergonomics, 40(3), 315-320. 
  76. *Nam, C. S., Li, Y., and Johnson, S. (2010). Evaluation of P300-Based Brain-Computer Interface (BCI) in Real-World Contexts. International Journal of Human-Computer Interaction, 26(6), 621-637. 
  77. *Konomi, S., and Nam, C. S. (2009). Supporting Collaborative Privacy-Observant Information Sharing Using RFID-Tagged Objects. Advances in Human-Computer Interaction, 2009, 1-13. 
  78. *Nam, C. S., Lyons, J. B., Hwang, H., and Kim, S. (2009). The Process of Team Communication in Multi-Cultural Contexts: An Empirical Study Using Bales’ Interaction Process Analysis (IPA). International Journal of Industrial Ergonomics, 39(5), 771-782. 
  79. *Nam, C. S., Jeon, Y., Li, Y., Kim, Y-J., and Yoon, H. (2009). Usability of the P300 Speller: Towards a More Sustainable Brain-Computer Interface. eMinds: International Journal on Human-Computer Interaction, 1(5), 111-125. 
  80. *Nam, C. S., Johnson, S., Li, Y., and Seong, Y. (2009). Evaluation of Human-Agent User Interfaces in Multi-Agent Systems. International Journal of Industrial Ergonomics, 39(1), 192-201. 
  81. Bahn, S., Lee, C., Nam, C. S., and *Yun, M. W. (2009). Incorporating Affective Customer Needs for Luxuriousness into Product Design Attributes. Human Factors and Ergonomics in Manufacturing & Service Industries, 19(2), 105-127. 
  82. *Seong, Y., and Nam, C. S. (2008). Capturing Judgment Policy on Customers’ Creditworthiness: A Lens Model and SDT Approach. International Journal of Industrial Ergonomics, 38(7-8), 593-600. 
  83. *Nam, C. S., Shu, J., and Chung, D. (2008). The Roles of Sensory Modalities in Collaborative Virtual Environments (CVEs). Computers in Human Behavior, 24(4), 1404-1417. 
  84. *Chung, D., and Nam, C. S. (2007). An Analysis of the Variables Predicting Instant Messenger Use. New Media and Society, 9(2), 212–234.
  85. Nam, C. S., and *Smith-Jackson, T. L. (2007). Web-Based Learning Environment: A Theory-Based Design Process for Development and Evaluation. Journal of Information Technology Education, 6, 23-43. 
  86. Nam, C. S., Thomas, C., and *Smith-Jackson, T. L. (2005). Effects of Individual Differences and Task Environments on Users’ Interactions with Web Resource Seeking. Computers in Education Journal,15(2), 79-92. 


Edited Book 

  1. Nam, C. S., Song, D., and Jeong, H. (Eds.) (2024). Human-Centred Metaverse: Concepts, Methods, and Applications. Elsevier.
  2. Nam, C. S., Jung, J., and Lee, S. (Eds.) (2022). Human-Centred Artificial Intelligence: Research and Applications. Elsevier.
  3. Nam, C. S., and Lyons, J. (Eds.) (2020). Trust in Human-Robot Interaction: Research and Applications. Elsevier.
  4. Nam, C. S. (Ed.) (2020). Neuroergonomics: Principles and Practices. Springer. 
  5. Contreras-Vidal, J. L., Robleto, D., Cruz-Garza, J. G., Azorin, J. M., and Nam, C. S. (Eds.) (2019). Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity. Springer.
  6. Nam, C. S., Nijholt, A., and Lotte, F. (Eds.) (2018). Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. CRC Press


 

Book Chapters

  1. Seebold, P., & Nam, C. S. (2024). A Brief History of the metaverse: From Early Beginnings to the Cutting Edge. In Nam, C. S., Song, D., and Jeong, H. (Eds.). Human-Centred Metaverse: Concepts, Methods, and Applications. Elsevier.
  2. Choo, S., & Nam, C. S. (2022). Interactive Reinforcement Learning & Error-related Potential Classification for Implicit Feedback. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. Elsevier
  3. Huang, J., & Nam, C. S. (2022). Reinforcement Learning in EEG-based Human-Robot Interaction. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. Elsevier
  4. Traylor, Z., & Nam, C. S. (2022). Use of Deep Learning Techniques in EEG-based BCI Applications. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. ElsevierChoo, S., & Nam, C. S. (2021). Interactive Reinforcement Learning & Error-related Potential Classification for Implicit Feedback. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. Elsevier.
  5. Huang, J., & Nam, C. S. (2021). Reinforcement Learning in EEG-based Human-Robot Interaction. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. Elsevier.
  6. Traylor, Z., & Nam, C. S. (2021). Use of Deep Learning Techniques in EEG-based BCI Applications. In Nam, C. S., Jung, J., & Lee, S. (Eds.). Human-Centred Artificial Intelligence: Research & Applications. Elsevier.
  7. Sanders, N., & Nam, C. S. (2020). Applied Models of Trust in Human-Robot Interaction. In Nam, C. S., & Lyons, J. (Eds.). Trust in Human-Robot Interaction: Research & Applications. Elsevier. 
  8. Nam, C. S., Eskander, E., & Choo, S. (2020). Neural Dynamics of Trust in Human-Robot Interaction In Nam, C. S., & Lyons, J. (Eds.). Trust in Human-Robot Interaction: Research & Applications. Elsevier. 
  9. Sanders, N., Choo, S., & Nam, C. S. (2020). The EEG Cookbook: A Practical Guide to Neuroergonomics Research. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  10. Thomas, L., & Nam, C. S. (2020). Functional Near-infrared Spectroscopy (fNIRS) in Neuroergonomics. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer. 
  11. Green, J., Jang, S., Choi, J., Jun, S. C., & Nam, C. S. (2020). Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Neuroergonomists. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  12. Kim, N., & Nam, C. S. (2020). Adaptive Control of Thought-Rational (ACT-R): Applying a Cognitive Architecture to Neuroergonomics. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  13. Choo, S., & Nam, C. S. (2020). Deep Learning Techniques in Neuroergonomics. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  14. Huang, J., & Nam, C. S. (2020). Dynamic Causal Modeling Approach to Neuroergonomics. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  15. Merante, A., Zhang, Y., Kumar, S., & Nam, C. S. (2020). The State-Of-The-Art Use of Brain-Computer Interfaces for Spinal Cord Injury Rehabilitation. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  16. Choi, In., Kim, N., & Nam, C. S. (2020). Brain-Computer Interface (BCI) Controlled Functional Electrical Stimulation (FES) for H& Grasp Rehabilitation. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  17. Ware, M., Feng, J., & Nam, C. S. (2020). Neuroergonomics Behind the Wheel: Neural Correlates of Car Driving. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  18. Eskander, E., S&ers, N., & Nam, C. S. (2020). Neural Correlates & Mechanisms of Trust. In Nam, C. S. (Ed.). Neuroergonomics: Principles & Practices. Springer.
  19. Ho, R., Markosov, S. H., Sanders, N., & Nam, C. S. (2019). BCI-Based Expressive Arts: Moving Toward Mind-Body Alignment. In Nijholt, I. (Ed.). Brain-Computer Interfaces for Artistic Expression. Springer. 
  20. Nam, C. S., Wadeson, A., Choi, I., & Whang, M. (2018). Brain-Computer Interface:  An Emerging Human-Computer Interaction Technology. In C. S. Nam, A. Nijholt, & F. Lotte (Ed.). Brain-Computer Interfaces Handbook: Technological & Theoretical Advances (pp. 11-52). CRC Press
  21. Rhiu, I., Lee Y. S., Choi, I., Yun, M. H., & Nam, C. S. (2018). Towards Usability Evaluation for Brain-Computer Interfaces. In C. S. Nam, A. Nijholt, & F. Lotte (Ed.). Brain-Computer Interfaces Handbook: Technological & Theoretical Advances (pp. 562-584). CRC Press.
  22. Guger, C., Coyle, D., Mattia, D., De Lucia, M., Hochberg, L., Edlow, B. L., Peters, B., Eddy, B., Nam, C. S., Noirhomme, Q., Allison, B. Z., & Annen, J. (2017). Trends in BCI Research I: Brain-Computer Interfaces for Assessment of Patients with Locked-in Syndrome or Disorders of Consciousness. In B. Allison, M., Lebedev & C. Guger (Ed.). Brain-Computer Interface Research: A State-of-the Art Summary (pp. 105-125). Springer.
  23. Bahn, S., Song, J., Yun, M. H., & Nam, C. S. (2012). A Study on the Relationship between Pleasures & Design Attributes of Digital Appliances. In Y. G. Ji (Ed.): Advances in Affective & Pleasurable Design (pp. 222). CRC Press.
  24. Johnson, S., Yamaguchi, T., Li, Y., Kim, H. N., & Nam, C. S. (2011). Analyzing the Behavior of Users with Visual Impairments in a Haptic Learning Application. In T. Marek., W. Karwowski, & V. Rice (Ed.): Advances in Understanding Human Performance: Neuroergonomics, Human Factors Design, & Special Populations (pp. 675-683). CRC Press.


Refereed Conference Proceedings 


  1. Kim, H., Jun, S. C., & Nam, C. S. (2025). Multilayer Network Analysis of Neural Dynamics During Group Interaction in a Repeated Three-Player Prisoner’s Dilemma. Proceedings of 2025 Autumn Conference of ESK.
  2. Kim, H., Jun, S. C., & Nam, C. S. (2025). Neural Dynamics of Group Interaction in the Iterate Multi-player Prisoner’s Dilemma Game: Multilayer Network Approach. In International Conference on Human-Computer Interaction (pp. 18-31). Cham: Springer Nature Switzerland.
  3. Kim, H., Kim, S., Jun, C., & Nam, C. S. (2024). Is What I Think What You Think?: Multilayer Network-Based Group Synchrony Approach. In Proceedings of the 22nd Triennial Congress of the International Ergonomics Association (IEA 2024).
  4. Kim, S., Seebold, P., & Nam, C. S. (2024). Exploring factors associated with trust for intention to use medical robots in human-robot physical interaction. In Proceedings of the 22nd Triennial Congress of the International Ergonomics Association (IEA 2024).
  5. Iyer, H., Reynolds, J., Nam, C. S., & Jeong, H. (2024). Pathfinder Networks: Evaluating Injury and Safety Using Restaurant Workers’ Mental Models. In Proceedings of the Human Factors & Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications.
  6. Seebold, P., Kaye, M., Kim, S., & Nam, C. S. (2024). Explainable AI-based Shapley Additive Explanations for Remaining Useful Life Prediction using NASA Turbofan Engine Dataset. In 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI) (pp. 1-5). IEEE.
  7. Ghasemi, Y., Bayro, A., MacDonald, J., Jeong, H., Reynolds, J., & Nam, C. S. (2023).    Enhancing Culinary Training with Spatial Augmented Reality: A User Study Comparing sAR Kitchen and Video Tutorials. IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops.
  8. Sumrell, R., & Nam, C. S. (2023).  Inclusivity in Validation of Novel Ergonomic Risk Assessment Tools. 2023 IISE Mid-Atlantic Regional Conference
  9. Seebold, P., He, I., & Nam, C. S. (2023). Looming sounds as auditory warnings: Uses for enhancing visual contrast sensitivity?” In Proceedings of the Human Factors & Ergonomics Society Annual Meeting (Vol. 67, No. 1, pp. 908-913). Sage CA: Los Angeles, CA: SAGE Publications.
  10. Park, H., Park, D., Kim, S., †Choo, S., Nam, C. S., Lee, S., & Jung, J-Y. (2023). Explaining Convolutional Neural Networks for EEG-based Brain-Computer Interface Using Influence Functions. In 2023 IEEE International Conference on Systems, Man, & Cybernetics (SMC) (pp. 4436-4440). IEEE.
  11. Huang, J., & *Nam, C. S. (2022). Working Memory Load Impact on Effective Connectivity: A Dynamic Causal Modeling Study. In Proceedings of the Human Factors & Ergonomics Society Annual Meeting (Vol. 66, No. 1, pp. 362-366). Sage CA: Los Angeles, CA: SAGE Publications.
  12. Song, Y., Yun, M. H., Kim, S. Y., Nam, C. S., & Lee, J. H. (2022). A Study on the Driver-Vehicle Interaction System in Autonomous Vehicles Considering Driver’s Attention Status. In 2022 IEEE International Conference on Systems, Man, & Cybernetics (SMC) (pp. 3360-3366). IEEE.
  13. Gwon, D., Won, K., Song, M., Nam, C. S., Jun, S. C., & Ahn, M. (2022). Comparative Analysis of Public Dataset of Motor Imagery to Infer Compatibility. In the 3rd Neuroadaptive Technology Conference (NAT) (pp. 93-96).
  14. Won, K., Kim, H., Gwon, D., Ahn, M., Nam, C. S., & Jun, S. C. (2022). May Tactile Stimulation & Electrical Brain Stimulation be Helpful to the BCI unable? The Joint meeting of Neuroergonomics & NYC Neuromodulation, New York.
  15. Traylor, Z., Houk, M., & *Nam, C. S. (2021). EEG Motor Imagery Classification: Validation of a 3D Multi-Branch CNN Approach in EEGNet. The 2021 IEEE International Conference on Systems, Man, & Cybernetics (SMC 2021).
  16. Traylor, Z., Houk, M., & *Nam, C. S. (2021). 3D Multi-Branch CNN for EEG Emotion Classification. The 2021 International Neuroergonomics Conference.
  17. Huang, J., Traylor, Z., Choo, S., & *Nam, C. S. (2021). Neural Correlates of Mental Workload During Multitasking: a Dynamic Causal Modeling Study. In Proceedings of the Human Factors & Ergonomics Society Annual Meeting (Vol. 65, No. 1, pp. 1337-1341). Sage CA: Los Angeles, CA: SAGE Publications.
  18. Traylor, Z., & *Nam, C. S. (2021). Brain-to-Brain Interfaces: Towards Advancing Human Communication & Collaboration. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  19. Park, D., Park, H., Kim, S., Choo, S., Jung, J-Y., Lee, S., & Nam, C. S. (2021). Motor Imagery Decoding & Interpretation Using Convolutional Neural Networks & Feature Importance for Brain-Computer Interface. The 5th International Conference on Information System & Data Mining (ICISDM 2021). Silicon Valley, CA, USA.
  20. Choo, S., Jeong, H., & *Nam, C. S. (2021). Effects of Multi-Task Learning for Deep Learning on Prediction Performance of EEG-based Cognitive State Recognition. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  21. Huang, J., & *Nam, C. S. (2021). Mental Workload & Performance Redline: perspectives from effective connectivity. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  22. Huang, J., Lindquist, J., & *Nam, C. S. (2020). Dynamic Causal Modeling of Gender Differences in Emotion: Implications for Augmented Cognition. In Proceedings of the Human Factors & Ergonomics Society’s 64th Annual Meeting (Vol. 64, No. 1, pp. 52-56). Sage CA: Los Angeles, CA: SAGE Publications.
  23. Pugh, Z., Huang, J., Kim, N., Leshin, J., Lindquist, J., & *Nam, C. S. (2020). Neuroergonomics behind Culture: A Dynamic Causal Modeling (DCM) Study on Emotion. The 22nd International Conference on Human-Computer Interaction
  24. Choo, S., & Nam, C. S. (2020). Emotion Recognition with a CNN using Functional Connectivity-based EEG Features. In Proceedings of the Human Factors & Ergonomics Society’s 64th Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications.
  25. Lyons, J. B., Nam, C. S., Jessup, S. A., Vo, T. Q., & Wynne, K. T. (2020). The Role of Individual Differences as Predictors of Trust in Autonomous Security Robots. IEEE International Conference on Human-Machine Systems.
  26. Lawson, K., & *Nam, C. S. (2020). Tracking Brain-to-Brain Synchrony in the Classroom: Implications for Neuroergonomists. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  27. Huang, J., & *Nam, C. S. (2020). Decoding Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  28. Choo, & *Nam, C. S. (2020). A Deep Convolutional Generative Adversarial Network for EEG Data Augmentation in Cognitive State Recognition. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  29. Sanders, N., & *Nam, C. S. (2020). Brain Network Topology & the Cognitive Redline. In Institute of Industrial & Systems Engineers Annual Conference & Expo.
  30. Sanders, N., Choo, S., Kim, N., & *Nam, C. S. (2019). Neural Correlates of Trust during an Automated System Monitoring Task: Preliminary Results of an EEG Effective Connectivity Study. In Proceedings of the Human Factors & Ergonomics Society's 63rd Annual Meeting (Vol. 63, No. 1, pp. 83-87). Sage CA: Los Angeles, CA: SAGE Publications.
  31. Choo, S., Sanders, N., Kim, N., Kim, W., & *Nam, C. S. (2019). Detecting Human Trust Calibration in Automation: A Deep Learning Approach. In Proceedings of the Human Factors & Ergonomics Society's 63rd Annual Meeting (Vol. 63, No. 1, pp. 88-90). Sage CA: Los Angeles, CA: SAGE Publications.
  32. Kim, N., Kim, W., Yun, M. W., & *Nam, C. S. (2018). Behavioral & Neural Correlates of Hysteresis Effects during Multitasking. The Human Factors & Ergonomics Society’s 62nd Annual Meeting (Vol. 62, No. 1, pp. 11-13). Sage CA: Los Angeles, CA: SAGE Publications.
  33. Rose, T., Nam, C. S., & Chen, K. (2018). Effect of Levels of Immersion on Performance & Presence in Virtual Occupational Tasks. The Human Factors & Ergonomics Society’s 62nd Annual Meeting (Vol. 62, No. 1, pp. 2079-2083). Sage CA: Los Angeles, CA: SAGE Publications.
  34. Kim, N., McCune, E., Yun, M. W., & *Nam, C. S. (2018). EEG-Based Neural Correlates of ACT-R Model for Multitasking. The 2nd International Neuroergonomics Conference.
  35. Mohammadzadeh, F., Nam, C. S., & Lobaton, E. (2018). Prediction of Physiological Response over Varying Forecast Lengths with a Wearable Health Monitoring Platform. The 40th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (pp. 437-440).
  36. Kim, N., & *Nam, C. S. (2018). Working Memory Capacity Influences Performance & Brain Networks: Evidence from Effective Connectivity Analysis. Proceedings of the 6th International Winter Conference on Brain-Computer Interface (BCI) (pp. 1-4), IEEE
  37. Wittenberg, E., Kim, N., & Nam, C. S. (2017). Executive Function Updating Level Modulates Connectivity Network between Brain Regions in Alpha Band. Proceedings of the Human Factors & Ergonomics Society’s 61st Annual Meeting (Vol. 61, No. 1, pp. 49-50). Sage CA: Los Angeles, CA: SAGE Publications.
  38. Kim, N., Wittenberg, E., & Nam, C. S. (2017). Working Memory Capacity, Memory Load, & Cognitive Control Network. Proceedings of the Human Factors & Ergonomics Society’s 61st Annual Meeting (Vol. 61, No. 1, pp. 46-48). Sage CA: Los Angeles, CA: SAGE Publications.
  39. Liu, S., Mudrick, N. V., Taub, M., Azevedo, R., & Nam, C. S. (2017). Investigating Eye Movements, Attention, & Multitasking with MATB-II. Proceedings of the Human Factors & Ergonomics Society’s 61st Annual Meeting (Vol. 61, No. 1, pp. 863-864). Sage CA: Los Angeles, CA: SAGE Publications.
  40. Choi, I., Bond, K., & Nam, C. S. (2016). A Hybrid BCI-Controlled FES System for Hand-Wrist Motor Function. The 2016 IEEE International Conference on Systems, Man, & Cybernetics (SMC 2016) (pp. 002324-002328).
  41. Liu, S., Wadeson, A., Kim, N. Y., & Nam, C. S. (2016). Effects of Working Memory Capacity, Task Switching, Task Difficulty on Multitasking Performance. The Human Factors & Ergonomics Society’s 60th Annual Meeting (Vol. 60, No. 1, pp. 502-506). Sage CA: Los Angeles, CA: SAGE Publications.
  42. Zahabi, M., Zhang, W., Pankok, C., Choi, I., Liao, Y-F., Nam, C. S., & Kaber, D. (2016). The Effects of Interruption Similarity & Complexity on Assembly Operation Performance.  The 2016 Industrial & Systems Engineering Research Conference.
  43. Liu, S., Wadeson, A., & Nam, C. S., (2016). Toward Quantitative Modeling of User Performance in Multitasking Environments. International Conference on Engineering Psychology & Cognitive Ergonomics (pp. 3-9). Springer International Publishing.
  44. White, M., Morejon, O., Liu, S., Lau, M., Nam, C. S., & Kaber, D. (2016). Biomechanical & Muscle Loading Implications of Exoskeletal Orthotic Use in Activities of Daily Living. The 2016 Industrial & Systems Engineering Research Conference.
  45. Choi, I., Bond, K., Krusienski, D., & Nam, C. S. (2016). Effects of Off-Site Attention on SSSEP Amplitude. The 6th International Brain-Computer Interface (BCI) Meeting.
  46. Lee, J., Lindquist, K., & Nam, C. S. (2015). Predicting Emotional Intelligence with EEG Coherence. Proceedings of the Human Factors & Ergonomics Society’s 59th Annual Meeting.
  47. Choi, H., Bond, K., Krusienski, D., & Nam, C. S. (2015). Comparison of Stimulation Patterns to Elicit Steady-State Somatosensory Evoked Potentials (SSSEPs): Implications for Hybrid & SSSEP-Based BCIs. The 2015 IEEE International Conference on Systems, Man, & Cybernetics (SMC 2015).
  48. Li, Y., & Nam, C. S. (2015). A Collaborative Brain-Computer Interface (BCI) for ALS Patients. In Proceedings of the Human Factors & Ergonomics Society Annual Meeting (Vol. 59, No. 1, pp. 716-720). Sage CA: Los Angeles, CA: SAGE Publications.
  49. Choi, H., Feng, J., & Nam, C. S. (2015). A Wandering Mind Cannot Resolve Conflicts in Displayed Information. Proceedings of the Human Factors & Ergonomics Society’s 59th Annual Meeting. 
  50. Nam, C. S., Lee, J., Bahn, S., Li, Y., & Choi, I. (2013). Brain-Computer Interface Supported Collaborative Work. Proceeding of the 5th International Brain-Computer Interface (BCI) Meeting.
  51. Nam, C. S., Lee, J., & Bahn, S. (2013). Brain-computer interface supported collaborative work: Implications for rehabilitation. In Engineering in Medicine & Biology Society (EMBC), 35th Annual International Conference of the IEEE (pp. 269-272). IEEE.
  52. Corbett, B., Yamaguchi, T., Liu, S., Huang, L., Bahn, S., & Nam, C. S. (2013). Influence of Haptic Feedback on a Pointing Task in a Haptically Enhanced 3D Virtual Environment. The 15th International Conference on Human-Computer Interaction, In M. Kurosu (Ed.): Human-Computer Interaction, Part IV, HCII 2013, LNCS 8007, 561–567.
  53. Li, Y., Jeon, W., Bahn, S., & Nam, C. S. (2013). Effects of Vibrotactile Feedback on Maze Navigation for People with Visual Impairments. The 15th International Conference on Human-Computer Interaction, In M. Kurosu (Ed.): Human-Computer Interaction, Part IV, HCII 2013, LNCS 8007, 594–600.
  54. Liu, S., Bahn, S., & Nam, C. S. (2013). Behavioral Patterns of Users with Visual Impairments in Unfamiliar Virtual Environment. The 15th International Conference on Human-Computer Interaction, In M. Kurosu (Ed.): Human-Computer Interaction, Part IV, HCII 2013, LNCS 8007, 618–625.
  55. Lee, J. Y., Bahn, S., & Nam, C. S. (2013). Reference Frame Sensitivity of Visually Impaired Students in Virtual Environment. The 15th International Conference on Human-Computer Interaction, In M. Kurosu (Ed.): Human-Computer Interaction, Part IV, HCII 2013, LNCS 8007, 610–617.
  56. Sencan, H., Lee, J., Munuswamy, G., & Nam, C. S. (2013). Perceptual Differences during Transformation between 2D & 3D Design Objects: An EEG Study. 2013 North Carolina Cognition Conference (NCCC), Raleigh, NC. 
  57. Lim, S., Bahn, S., Woo, J., & Nam, C. S. (2012). The Effects of Individual’s Mood State & Personality Trait on the Cognitive Processing of Emotional Stimuli. Proceedings of the Human Factors & Ergonomics Society’s 56th Annual Meeting (pp. 1059-1063). New York, NY: Human Factors & Ergonomics Society.
  58. Li, Y., Woo, J., & Nam, C. S. (2012). A Preliminary Research on P300-Based BCI Application for People with Motor Disabilities. Proceedings of the Human Factors & Ergonomics Society’s 56th Annual Meeting (pp. 1049-1053). New York, NY: Human Factors & Ergonomics Society.
  59. Lim, S., Bahn, S., Woo, J., & Nam, C. S. (2012). Hemispheric Asymmetries in the Perception of Emotions. In Y. G. Ji (Ed.): Advances in Affective & Pleasurable Design, The 4th International Conference on Applied Human Factors & Ergonomics (pp. 436-445). CRC Press. 
  60. Bahn, S., Song, J., Yun, M. H., & Nam, C. S. (2012). A Study on the Relationship between Pleasures & Design Attributes of Digital Appliances. In Y. G. Ji (Ed.): Advances in Affective & Pleasurable Design, The 4th International Conference on Applied Human Factors & Ergonomics (pp. 222-230). CRC Press.
  61. Nam, C. S. (2012). Neuronal Synchrony during Brain-Computer Interface Operation: Effects of Severe Motor Disabilities. 3rd Annual Congress of NeuroTalk. Beijing, China, May18-20.
  62. Kantor, S., Hassell, B., King, E., Smith-Jackson, T., & Nam, C. S. (2011).  Investigating a Haptic System for Teaching Students with Severe Visual Impairments. Industrial Engineering Research Conference.  In T. Doolen & E. Van Aken (Eds.).  Proceedings of the 2011 Industrial Engineering Research Conference.  Reno, Nevada, May 2011. 
  63. Li, Y., Johnson, S., & Nam, C. S. (2011). Haptically enhanced user interfaces to Support Science Learning of the Visually Impaired. In J. Jacko (Ed.): Human-Computer Interaction, Part IV, HCII 2011, Lecture Notes in Computer Science Series (LNCS) 6764, 68-76.
  64. Johnson, S., Li, Y., Nam, C. S., & Yamaguchi, T. (2011).  Analyzing User Behavior within a Haptic System. In J.A. Jacko (Ed.): Human-Computer Interaction, Part II, HCII 2011, Lecture Notes in Computer Science Series (LNCS) 6762, 62-70. 
  65. Johnson, S., Yamaguchi, T., Li, Y., Kim, H., & Nam, C. S. (2010). Analyzing the Behaviour of Users with Visual Impairments in a Haptic Learning Application. International Conference on Applied Human Factors & Ergonomics, Florida, USA. 
  66. Li, Y., Nam, C. S., & Choo, Y-G. (2009). Towards Optimizing P300 Speller Matrix Design While Decreasing Human Error. Proceedings of 17th World Congress on Ergonomics, Beijing, China.
  67. Yamaguchi, T., Johnson, S., Kim, H. N., Li, Y., Nam, C. S., & Smith-Jackson, T. L. (2009). Haptic Science Learning System for Students with Visual Impairments: A Preliminary Study. In C. Stephanidis (Ed.): Universal Access in HCI, Part III, HCII 2009, Lecture Notes in Computer Science Series (LNCS) 5616, 157-166.   
  68. Kim, H. N., Nam, C. S., & Smith-Jackson, T. L. (2008). User Interface Design Guidelines of Haptic-Thermal System for Visually Impaired Students in Obtaining Scientific Information. The 4th International Conference on Social & Organizational Informatics & Cybernetics (SOIC 2008), Orlando, FL.
  69. Nam, C. S., Johnson, S., & Li, Y., (2008). Environmental Noise & P300-Based Brain-Computer Interface (BCI). Proceedings of the Human Factors & Ergonomics Society’s 52nd Annual Meeting (pp. 803-807). New York, NY: Human Factors & Ergonomics Society. 
  70. Johnson, S., Li, Y., Jeon, Y., Kim, Y-J., & Nam, C. S. (2008). A P300-Based Brain-Computer Interface (BCI): Towards a Non-muscular Communication System for People with Neuromuscular Impairments. Arkansas Chapter of the Society for Neuroscience Annual Meeting, Little Rock, AR.
  71. Murayama, J., Shimizu, H., Nam, C. S., & Sato, M. (2007). An Educational Environment for Chemical Contents with Haptic Interaction.  International Conference on Cyberworlds. Hannover, German.
  72. Konomi, S., Saito, T., Nam, C. S., Shimada, T., Harada, Y., & Sezaki, K. (2007). Designing for Usability & Safety in RFID-Based Intelligent Commuting Environments. International Conference on Machine Learning & Cybernetics (ICMLC). Hong Kong, China.   
  73. David, A., Piuzzi, B., Nam, C. S., & Chung, D. (2007). Guidelines for the Development & Improvement of Universal Access Systems for Blind Students. In C. Stephanidis (Ed.): Universal Access in HCI, Part I, HCII 2007, Lecture Notes in Computer Science Series (LNCS), 4554, 603–612.
  74. Chung, D., deBuys, B. D., & Nam, C. S. (2007). Influence of Avatar Creation on Attitude, Empathy, Presence, & Para-Social Interaction. In J. Jacko (Ed.): Human-Computer Interaction, Part I, HCII 2007, Lecture Notes in Computer Science Series (LNCS), 4550, 711–720. 
  75. Ryu, Y. S., Nam, C. S., & Smith-Jackson, T. L. (2007). Web-Based Instruction for High School Students: Exploration of Individual & Cultural Learning Styles. Proceedings of the IASTED International Conference on Web-based Education (pp. 391-394). Chamonix, France.
  76. Soeffner, J., & Nam, C. S., (2007). Co-Presence in Shared Virtual Environments: Avatars Beyond the Opposition of Presence & Representation. In J. Jacko (Ed.): Human-Computer Interaction, Part I, HCII 2007, Lecture Notes in Computer Science Series (LNCS) 4550, 949-958.
  77. Shimizu, H., Murayama, J., Sato, M., Sato, H., & Nam, C. S. (2007). Learning Tool Aided by Haptics for Intermolecular Understanding. NICOGRAPH International Conference. Toyota, Japan. 
  78. Song, J.  J., Yu, P., & Nam, C. S. (2007). Exploratory Spatial Data Analysis: Application to Arkansas Crash Data. Korean Statistical Society, Seoul, Korea
  79. Nam, C. S., Lyons, J., & Li, Y. (2007). Team Coordination & Collaboration within a Distributed Logistics Network. Annual Symposium on Applied Experimental Research. Fairfax, VA.
  80. Johnson, S., Nam, C. S., & Burneka, C. (2006). Mobile Information Technology in Transport Logistics Systems: Human factors perspective. Proceedings of the Ergonomics Society of Korea Annual Meeting. Seoul, Korea.
  81. Nam, C. S. (2006). Haptic Thermal Interface: A New Technology for Supporting Presence in Multimodal Virtual Environments? The 9th Annual International Workshop on Presence (pp. 97-98). Cleveland, Ohio, USA
  82. Nam, C. S., & Shafieloo, I. (2006). Haptic Virtual Environments as a Science Learning Supporting Tool: A Preliminary Study. Proceedings of the IASTED International Conference on Educational Technology (pp. 40-44). Calgary, Alberta, Canada. 
  83. Nam, C. S., & Johnson, S. (2006). Presence in technologically mediated environments: a research framework. The 9th Annual International Workshop on Presence (pp. 19-24). Cleveland, Ohio, USA.
  84. Nam, C. S., & Chung, D. (2006). The Influences of Haptic Thermal Feedback on Object Identification & Perceived Presence. Proceedings of the 16th World Congress of the International Ergonomics Association (IEA). Maastricht, Netherlands: IEA Press.
  85. Nam, C. S., Di, J., Borsodi, L. W., & Mackay, W. (2005). A Haptic Thermal Interface: Towards Effective Multimodal User Interface Systems. Proceedings of the IASTED International Conference on Human-Computer Interaction (pp.13-18). Phoenix, AZ, USA.
  86. Kim, H. N., Nam, C. S., Smith-Jackson, T. L., & Scales, W. A. (2005). Culture-Centered Interface Design Guidelines for Web-Based Tutorial. Proceedings of the Fourth International Cyberspace Conference on Ergonomics (pp. 422-428). Johannesburg: International Ergonomics Association Press. 
  87. Nam, C. S., & Konomi, S. (2005). Usability Evaluation of QueryLens: Implications for Context-Aware Information Sharing using RFID. Proceedings of the IASTED International Conference on Human-Computer Interaction (pp.90-95). Phoenix, AZ, USA.
  88. Nam, C. S., Kim, H. N., Smith-Jackson, T. L., & Scales, W. A. (2005). Culture & Cognition: Implications for Cognitive Design of Learning Resources. Proceedings of the Human Factors & Ergonomics Society’s 49th Annual Meeting (pp.1444-1448). Orlando, FL: Human Factors & Ergonomics Society.
  89. Konomi, S., & Nam, C. S. (2005). Using Context for Privacy Boundary Control in RFID Applications. Proceedings of the IASTED International Conference on Human-Computer Interaction (pp.252-257). Phoenix, AZ, USA.
  90. Nam, C. S., & Pujari, A. (2005). The Role of Working Memory in Multimedia Learning. Proceedings of the 11th International Conference on Human-Computer Interaction (HCII ‘05). Las Vegas, NV: Mira Digital Publishing.
  91. Thomas, C., Nam, C. S., & Smith-Jackson, T. L. (2003). The Significance of Behavior Type on Web Information Retrieval & Academic Success. Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition (Session 2793; Section 612). American Society for Engineering Education.
  92. Nam, C. S., Kim, H. N., Smith-Jackson, T. L., & Nussbaum, M. A. (2003).
    Development of a Guidelines Tool for Mobile Phone Interfaces. Proceedings of the Human Factors & Ergonomics Society’s 47thAnnual Meeting (pp. 792-796). Denver, CO: Human Factors & Ergonomics Society.
  93. Nam, C. S., & Bisantz, A. M. (2002). A Lens Model Analysis of Confidence Judgments: Beyond Calibration Measures. Proceedings of the Human Factors & Ergonomics Society 46th Annual Meeting (pp. 506-510). Baltimore, MD: Human Factors & Ergonomics Society.


Magazine Articles 

M1. Iyer, H., Reynolds, J., Nam, C. S., & Jeong, H. (2025). Exploring Restaurant Worker Mental Models of Injury and Safety using Pathfinder Networks. IISE Magazine.

M2. *Nam, C. S., Jung, J-Y., Lee, S., Choo, S., Traylor, Z., Park, H., Park, D., Kim, S. (2022). Human-Computer Interface (BCI) & Artificial Intelligence: Deep Learning & Explainable AI. IISE Magazine.

M3. *Nam, C.S., Traylor, Z., & Mackie, M. (2021). Direct Brain-to-Brain Communication: Is Science Fiction Just Around the Corner? IISE Magazine.

 


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