이안 오클리 교수 사진

KAIST전기및전자공학부

Wearable and Interactive Technology Lab

이안 오클리 교수 (Ian Oakley)

홈페이지의 모집 안내

“We are actively recruiting new MSc and PhD students. If you”

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연구실 소개

이 연구실은 모바일·웨어러블·임베디드 기기의 형태와 사용 맥락에 맞는 인터랙티브 시스템과 상호작용 기법을 연구합니다. 스마트워치와 스마트글라스, AR·VR 환경에서 터치·시선·동작을 활용하는 방법과 손톱 터치 상호작용, 손목을 통한 오디오 신호 기반 스마트워치 인증을 다룹니다.

AI가 연구실 홈페이지를 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

WIT Lab designs interactive systems and interaction techniques for mobile, wearable, and embedded devices. Our work reflects the unique form factors and use contexts of these systems: they are miniaturized, handheld, wearable, ubiquitous, and operated when mobile, distracted, busy, or multi-tasking. Our designs are informed through empirical work that acquires a nuanced understanding of the capabilities and abilities of the human mind and body. They are developed using a combination of digital fabrication, hardware and software prototyping, and advanced analytic techniques such as computational optimization and deep learning. The goal of our work is to create interactive systems that are seamless, transparent, expressive, and effective. The primary current focus is on applying the modalities of touch, gaze, and motion to emerging device form factors such as smartwatches and smartglasses in critical wearable use scenarios such as augmented and virtual reality. Can we use our fingernails as a touch surface to support HMD use? We develop a set of five touch-sensitive finger nails and present a series of studies and evaluations of their potential to support interactive experiences: a design workshop to brainstorm interaction ideas; a qualitative study that captures the comfort of a wide range of touches - 144 in total; and two studies that examine the speed and stability with which users can make touches to their nails. We conclude with recommendations for a final set of 29 viable touches that are comfortable and can be performed accurately and rapidly. How can we quickly and reliably authenticate to smartwatches? This work explores how audio signals transmitted through the wrist can serve as a unique signal for unlocking and securing a smartwatch. We developed custom surfa

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연구 분야

AI & Machine Learning · Security · Software Systems & Networking · Human Computer Interaction · Integrated Circuits & Semiconductor Systems · Augmented and Virtual Reality

컨택 준비
[email protected]

홈페이지에서 읽은 구성원

  • 박사후연구원 1명
  • 박사과정 1명
  • 학부 인턴 1명
  • 구성원 6명
  • 졸업생 9명
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