Purdue SMART Lab Team

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Go-Eum Cha

Education:
  Purdue University, 2021 - present (Technology)
Ph.D. student
 M.S. Purdue University, West Lafayette, IN, 2020 (Computer Information & Technology)
Thesis: "Cognitive Load Estimation with Behavioral Cues in Human-Machine Interaction"
B.S. Soongsil University, Seoul, South Korea, 2017 (Computer Science & Engineering | Global Media)

 
Current Research:

  • Human-Robot Interaction (HRI)
  • Social/Personal robots
  • Human cognition and affects
  • Multi-modal systems

Awards and Honors:
  • Gary Marsden Travel Awards - Gary Marsden Travel Awards, April 2022, ACM SIGCHI
  • The Best Presentation Award - 2020 the Realizing the Digital Enterprise (RDE) Student Showcase “Mini-Talk” event, Purdue Polytechnic Institute, Purdue University, West Lafayette, IN USA.

Selected Publications:
  • Go-Eum Cha, Byung-Cheol Min, "Correlation between Unconscious Mouse Actions and Human Cognitive Workload," CHI Conference on Human Factors in Computing Systems Extended Abstracts, pp 1-7, 2022.
  • Wonse Jo, Shyam Sundar Kannan, Go-Eum Cha, Ahreum Lee, and Byung-Cheol Min, "ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States," 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC), Toronto, Canada, 11-14 October, 2020.
  • Go-Eum Cha, Do-Eun Kim, Kang-Hee Lee, "System Design of Symptom Detection of Mild Cognitive Impairment with Observational Robot," Journal of Theoretical and Applied Information Technology, Vol.97(18), pp 4824–4837, 2019.
  • Go-Eum Cha, Do-Eun Kim, Kang-Hee Lee, "State-of-the-Art of Domestic Emotional Robots" Korea Society Computer Information, Vol.25(1), pp 161–162, 2017.

Contact:
    cha20 at purdue dot edu