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Ming Ki Chong

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Publications by Ming Ki Chong (bibliography)

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2011
 
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Chong, Ming Ki and Gellersen, Hans-Werner (2011): How users associate wireless devices. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 1909-1918.

In a wireless world, users can establish connections between devices spontaneously, and unhampered by cables. However, in the absence of cables, what is the natural interaction to connect one device with another? A wide range of device association techniques have been demonstrated, but it has remained an open question what actions users would spontaneously choose for device association. We contribute a study eliciting device association actions from non-technical users without premeditation. Over 700 user-defined actions were collected for 37 different device combinations. We present a classification of user-defined actions, and observations of the users' rationale. Our findings indicate that there is no single most spontaneous action; instead five prominent categories of user-defined actions were found.

© All rights reserved Chong and Gellersen and/or their publisher

2010
 
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Schmidt, Dominik, Chong, Ming Ki and Gellersen, Hans-Werner (2010): HandsDown: hand-contour-based user identification for interactive surfaces. In: Proceedings of the Sixth Nordic Conference on Human-Computer Interaction 2010. pp. 432-441.

HandsDown is a novel technique for user identification on interactive surfaces. It enables users to access personal data on a shared surface, to associate objects with their identity, and to fluidly customize appearance, content, or functionality of the user interface. To identify, users put down their hand flat on the surface. HandsDown is based on hand contour analysis; neither user instrumentation nor external devices are required for identification. Characteristic features of the hand are initially extracted from images captured by the surface's camera system and then classified using Support Vector Machines (SVM). We present a proof-of-concept implementation and show results of our evaluation which indicates the technique's robustness for user identification within small groups. Additionally, we introduce a set of interaction techniques to illustrate how HandsDown can improve the user experience, and we discuss the design space of such interactions.

© All rights reserved Schmidt et al. and/or their publisher

 
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Chong, Ming Ki, Marsden, Gary and Gellersen, Hans-Werner (2010): GesturePIN: using discrete gestures for associating mobile devices. In: Proceedings of 12th Conference on Human-computer interaction with mobile devices and services 2010. pp. 261-264.

Mobile devices with wireless network capabilities can be associated to form ad hoc networks to share resources; however, such an association of devices requires authentication. At present, PIN is the common authentication method, but in many cases, small devices may not have input interfaces to accommodate PIN entry. We therefore design a gesture-based authentication scheme, called GesturePIN, for associating multiple mobile devices; our solution provides the advantage of being adaptable to any PIN authentication systems. We have also conducted a quantitative user study to understand the speed and accuracy of people using our gesture-based system compared to using PIN.

© All rights reserved Chong et al. and/or their publisher

 
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Changes to this page (author)

05 Jul 2011: Added
02 Nov 2010: Added
02 Nov 2010: Added

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URL: http://www.interaction-design.org/references/authors/ming_ki_chong.html
May 21

Computer analyst to programmer: "You start coding. I'll go find out what they want."

-- Popular computer one-liner

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!