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Fang-I Hsiao

 

Publications by Fang-I Hsiao (bibliography)

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2012
 
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Cheng, Lung-Pan, Hsiao, Fang-I, Liu, Yen-Ting and Chen, Mike Y. (2012): iRotate grasp: automatic screen rotation based on grasp of mobile devices. In: Adjunct Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 15-16. Available online

Automatic screen rotation improves viewing experience and usability of mobile devices, but current gravity-based approaches do not support postures such as lying on one side, and manual rotation switches require explicit user input. iRotate Grasp automatically rotates screens of mobile devices to match users' viewing orientations based on how users are grasping the devices. Our insight is that users' grasps are consistent for each orientation, but significantly differ between different orientations. Our prototype embeds a total of 32 light sensors along the four sides and the back of an iPod Touch, and uses support vector machine (SVM) to recognize grasps at 25Hz. We collected 6-users' usage under 54 different conditions: 1) grasping the device using left, right, and both hands, 2) scrolling, zooming and typing, 3) in portrait, landscape-left, and landscape-right orientations, and while 4) sitting and lying down on one side. Results show that our grasp-based approach is promising, and our iRotate Grasp prototype could correctly rotate the screen 90.5% of the time when training and testing on different users.

© All rights reserved Cheng et al. and/or ACM Press

2011
 
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Yu, Neng-Hao, Chan, Li-Wei, Lau, Seng Yong, Tsai, Sung-Sheng, Hsiao, I-Chun, Tsai, Dian-Je, Hsiao, Fang-I, Cheng, Lung-Pan, Chen, Mike, Huang, Polly and Hung, Yi-Ping (2011): TUIC: enabling tangible interaction on capacitive multi-touch displays. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2995-3004. Available online

We present TUIC, a technology that enables tangible interaction on capacitive multi-touch devices, such as iPad, iPhone, and 3M's multi-touch displays, without requiring any hardware modifications. TUIC simulates finger touches on capacitive displays using passive materials and active modulation circuits embedded inside tangible objects, and can be used with multi-touch gestures simultaneously. TUIC consists of three approaches to sense and track objects: spatial, frequency, and hybrid (spatial plus frequency). The spatial approach, also known as 2D markers, uses geometric, multi-point touch patterns to encode object IDs. Spatial tags are straightforward to construct and are easily tracked when moved, but require sufficient spacing between the multiple touch points. The frequency approach uses modulation circuits to generate high-frequency touches to encode object IDs in the time domain. It requires fewer touch points and allows smaller tags to be built. The hybrid approach combines both spatial and frequency tags to construct small tags that can be reliably tracked when moved and rotated. We show three applications demonstrating the above approaches on iPads and 3M's multi-touch displays.

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

 
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