Mission - About HCIS Research

Our research seeks to improve the quality of user experience in ubiquitous HCI (Human-Computer Interaction) situations by enabling computers 1) to understand human capability in attention and cognition, 2) to augment our cognitive processing capabilities between physical and virtual information space, and 3) to create intelligent systems that adapt interventions to user difference.

The goal of our research programs falls under the following questions:

    • Question 1. How can we enable computers to understand our in-situ capabilities for cognition and attention in ubiquitous HCI contexts?
    • Question 2. How can we augment our cognitive processing capabilities in-between our physical space and virtual information space?
    • Question 3. How can we customize the effects of interventions to solve real human problems (e.g., cognitive aging)?

To reach these goals, we use sensor-based analytics to understand in-situ human capability in attention and cognition and apply machine-learning techniques to time-series sensor data. Our approach combines cognitive science and psychology with mechatronics, machine learning, sensory augmentation, visual analytics, and hybrid assessment of cognitive load and user interruptibility.

We aim to create enabling technologies to solve real, everyday problems and to study how people interact with these technologies and AI-enabled products in connected environments. Specifically, our research will:

    • Address quality of life issues for aging populations, including seniors who have difficulty interacting with virtual information spaces and AI-enabled products.
    • Improve machine intelligence using cognitive science research related to executive control of working memory and differentiation of resource capacity. This work will help to create intelligent systems that adapt to our in-situ capabilities in attention and cognition.
    • Improve the quality of HCI experience by developing real-time assessment methods, including multi-sensory interaction to facilitate rapid processing, to recognize behavioral patterns and in-situ context in users’ attention and cognition.

Theme

본 연구실은 Human-Computer Interaction (HCI)와 인공지능 기술을 융합하여, 인간과 미래 컴퓨팅 시스템의 인터랙션을 '사람중심'으로 설계하고 실증하는 다학제간 융합연구를 수행한다.

컴퓨터 과학, 전자공학, 기계공학 뿐 아니라, 인지과학, 심리학, 산업디자인 분야의 전문인력이 협업하며, 인공지능에 의존한 '상황판단'과 '의사결정'이 사용자 경험(UX)을 형성하는 메커니즘을 해석하고, 이를 바탕으로 미래 컴퓨팅 환경에 적합한 사용자 인터랙션 기술을 제시한다.

언제 어디서든 자율주행 차량, 가상현실 & 증강현실 콘텐츠, 고령친화 QoLT 시스템 등과 일상적으로 인터랙션하는 미래 환경에서의 이슈를 정의하고, Human-Centered Computing (HCC), Human-Computer Interaction (HCI), Human-Centered A.I. 기술을 융합한 사람중심 솔루션을 제시・설계・검증할 수 있는 학제간 융합형 인재 양성을 목표로 한다.

Recent News

  • Awarded (Mar 2019) KOCCA Culture Technology project (Apr 2019 ~ Dec 2021).
  • Awarded (Jan 2019, Mar 2018) GIST AI center's internal project (Jan 2019 ~ Dec 2019, Mar 2018 ~ Dec 2018).
  • Awarded (Sep 2018) GIST demo project (Sep 1, 2018 ~ Dec 31, 2018).
  • Awarded (Jul 2018) KOCCA Culture Technology project (Aug 2018 ~ Jul 2019).
  • Awarded (Jul 2018) KETI service contract (Jul 2018 ~ Dec 2018).
  • Awarded (Jun 2018) GIST Sprint for Start-up project (Jul 2018 ~ Dec 2018).
  • Awarded (Jun 2018) 2nd and 3rd Prizes in GIST Foundation Idea Competition.
  • Awarded (Aug 2017) GIST IIT's internal project (Aug 2017 ~ Dec 2017).
  • Started to work at GIST (July 2017)!
  • Moved to Korea (May 2017) Homepage at CMU (here)
  • Awarded (Feb 2017, Nov 2015, Dec 2014) T-SET UTC project (CMU/DOT, Jan 2015~ Aug 2018).
  • Awarded (Jan 2015) ProSEED / Simon Initiative Grant (CMU, Jan 2015 ~ Jun 2016).
  • Awarded (Nov 2014) Wearable UI/UX project with KETI (Dec 2014 ~ Nov 2017).
  • Passed the 3-year review (Oct 2014) CMU HCII Reappointment: Jul 2015 ~ Jun 2018.

Check out research videos!

HCI studies? Check CHI 2019 Teaser!

HCIS Lab - Virtual Reality Based Autonomous Driving

HCIS Lab - Human-Vehicle Interaction with Hand Gesture in autonomous driving

HCIS Lab - Autonomous Driving with Physiological Data Sensing

HCIS Lab - Autonomous Driving with Tracking Driver's Eye Activity

HCIS Lab - Autonomous Driving with Measuring Driver's Physiological Data in Secondary Task Scenarios

Media

  • Etnews 전자신문 (2019.05.15) - 김승준 GIST 교수팀, 가상 자율주행 차량 공공안내 표지판 개선 추진 (Link)
  • 한국대학신문 (2019.05.15) - 김승준 GIST 김승준 교수, 문화기술연구개발지원사업 과제 선정 (Link)
  • 광주매일신문 (2019.05.14) - 김승준 GIST 융합기술학제학부 교수 문화기술연구개발지원사업 과제 선정 (Link)
  • 동아사이언스 (2019.05.14) - 공공안내 표지판의 시인성 평가방법 및 도구 개발에 20억 투입 (Link)
  • 뉴스웍스 (2019.05.14) - 김승준 GIST 교수, 문화기술연구개발지원사업 과제 선정 (Link)
  • 대학저널 (2019.05.14) - GIST 융합기술학제학부 김승준 교수, 문화기술연구개발지원사업 과제 선정 (Link)
  • 파이낸셜 뉴스 (2019.05.14) - GIST 김승준 교수의 문화기술R&D사업 3년간 20억 받는다 (Link)
  • TheScienceTimes (2019.04.22) - 화사한 봄날에 만난 과학 향기 (Link)
  • YTN Science (2019.04.22) - 도심에서 만나는 과학축제…내일까지 계속 (Link)
  • 뉴스웨이 (2019.04.18) - GIST AI 연구성과물, 2019 대한민국 과학축제 전시 참가 (Link)
  • 파이낸셜 뉴스 (2019.04.17) - GIST AI 연구성과물, 2019 대한민국 과학축제 전시 참가 (Link)
  • 아시아경제 (2019.04.17) - 광주과학기술원 '대한민국 과학축제 참가'…인공지능 분야 전시 (Link)
  • KBS 지역국 (2019.01.29) - [집중1] 예타 면제…광주 인공지능 기반 구축 사업은? (Link)
  • KBC 광주방송 (2018.08.21) - '게임부터 창작까지'..생활 속으로 성큼 다가온 AI (Link)
  • Etnews 전자신문 (2018.07.01) - [GIST, AI의 진화] <4>인간 행동 이해와 AI (Link)