- Published Conference
Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems

- Abstract
Zooming user interfaces are increasingly popular on mobile devices with touch screens. Swiping and pinching finger gestures anywhere on the screen manipulate the displayed portion of a page, and taps open objects within the page.
This makes navigation easy but limits other manipulations of objects that would be supported naturally by the same gestures, notably cut and paste, multiple selection, and drag and drop. A popular device that suffers from this limitation is
Apple’s iPhone. In this paper, we present Bezel Swipe, an interaction technique that supports multiple selection, cut, copy, paste and other operations without interfering with zooming, panning, tapping and other pre-defined gestures. Participants of our user study found Bezel Swipe to be a viable alternative to direct touch selection.

- Opinion
베젤과 터치스크린 경계에서의 swipe 제스쳐를 인식해서 셀렉션, 복사&붙이기 시나리오를 제시. 기존의 제스처와 confliction이 나지 않고, 유용하게 사용할수 있을듯.

- Paper
http://www.volkerroth.com/download/Roth2009a.pdf

- Video
http://www.youtube.com/watch?v=s7v-JNfvqV0

Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile Finger Input Surfaces

내가 가장 좋아하는 논문중 하나. Chris Harrison 이름이 많은 연구자들에게 전파될수 있게한 2008 년 그의 데뷔작.



We present Scratch Input, an acoustic-based input technique that relies on the unique sound produced when a fingernail is dragged over the surface of a textured material, such as wood, fabric, or wall paint. We employ a simple sensor that can be easily coupled with existing surfaces, such as walls and tables, turning them into large, unpowered and ad hoc finger input surfaces. Our sensor is sufficiently small that it could be incorporated into a mobile device, allowing any suitable surface on which it rests to be appropriated as a gestural input surface.

Several example applications were developed to demonstrate possible interactions.
We conclude with a study that shows users can perform six Scratch Input gestures
at about 90% accuracy with less than five minutes of training and on wide variety of surfaces.

Harrison, Chris and Hudson, Scott E. Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile finger Input Surfaces. In Proceedings of the 21st Annual ACM Symposium on User interface Software and Technology. UIST '08. ACM, New York, NY, 205-208.

크리스 해리슨의 두말하면 잔소리 Skinput. 박사 4년차에 CHI2010 Best paper 받았다! Wow!
 Patrick baudish 와 함께 내 연구 Approach 와 가장 유사한  researcher 가 아닌가 생각이 든다.
따라잡으려면 3년밖에 안남았구만! 열심히 재미있게 연구해 보자. :^)


We present Skinput, a technology that appropriates the human body for acoustic transmission, allowing the skin to be used as a finger input surface. In particular, we resolve the location of finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body. We collect these signals using a novel array of sensors worn as an armband. This approach provides an always-available, naturally-portable, and on-body interactive surface.
To illustrate the potential of our approach, we developed several proof-of-concept
applications on top of our sensing and classification system.





Chris Harrison - Carnegie Mellon University
Desney Tan - Microsoft Research
Dan Morris - Microsoft Research

Harrison, C., Tan, D. Morris, D. 2010. Skinput: Appropriating the Body as an Input Surface.
To appear in Proceedings of the 28th Annual SIGCHI Conference on Human Factors in Computing Systems
(Atlanta, Georgia, April 10 - 15, 2010). CHI '10. ACM, New York, NY.

2009년 6월 자료에서.




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해당 점을 중심점으로 줌인아웃




직사각형의 넓이를 이등분하는 직선은 반드시 중심점을 지난다는 성질을 이용한 줌인아웃.

사용자가 특정 포인트를 추출하면 그 포인트와 중심점을 잇는 선으로 화면을 이등분 하고 특정 위치를 중심으로 이등분된 부분을 이용하여 명령을 수행하게 하여 화면을 가장 효율적으로 분배하였고, 명령시작부터 명령수행까지 한번의 터치로 작업의 비용(Cost)을 최소화 하였으며, 기존기술에서 드러났던 패널의 사면 때문에 생겼던 드래그의 한계가 드래그(Drag)의 거리를 이용한 명령으로 그 한계가 없어지게 되었다. 또한 인터렉션의 범위가 일차원인 '직선'이 아닌 ‘면’에서의 드래그 거리라는 이차원적인 범위로 늘어나 사용자는 자신이 가장 편하게 느끼는 제스쳐를 이용하여 연속된 값의 변경을 세밀하고 효과적으로 수행할 수 있게된다. 또한 한손 만으로도 다양한 명령의 수행이 가능하게 되며 이는 작은 디바이스에서 더욱 효과적이다.



재미있는 특허중 하나.