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Shenwei Liu


Publications by Shenwei Liu (bibliography)

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Liu, Shenwei and Guimbretiere, Francois (2012): FlexAura: a flexible near-surface range sensor. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 327-330. http://dx.doi.org/10.1145/2380116.2380158

The availability of flexible capacitive sensors that can be fitted around mice, smartphones, and pens carries great potential in leveraging grasp as a new interaction modality. Unfortunately, most capacitive sensors only track interaction directly on the surface, making it harder to differentiate among grips and constraining user movements. We present a new optical range sensor design based on high power infrared LEDs and photo-transistors, which can be fabricated on a flexible PCB and wrapped around a wide variety of graspable objects including pens, mice, smartphones, and slates. Our sensor offers a native resolution of 10 dpi with a sensing range of up to 30mm (1.2") and sampling speed of 50Hz. Based on our prototype wrapped around the barrel of a pen, we present a summary of the characteristics of the sensor and describe the sensor output in several typical pen grips. Our design is versatile enough to apply not only to pens but to a wide variety of graspable objects including smartphones and slates.

© All rights reserved Liu and Guimbretiere and/or ACM Press

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Wu, Shaomei, Liu, Shenwei, Cosley, Dan and Macy, Michael (2011): Mining collective local knowledge from Google MyMaps. In: Proceedings of the 2011 International Conference on the World Wide Web 2011. pp. 151-152. http://dx.doi.org/10.1145/1963192.1963269

The emerging popularity of location-aware devices and location-based services has generated a growing archive of digital traces of people's activities and opinions in physical space. In this study, we leverage geo-referenced user-generated content from Google MyMaps to discover collective local knowledge and understand the differing perceptions of urban space. Working with the large collection of publicly available, annotation-rich MyMaps data, we propose a highly parallelizable approach in order to merge identical places, discover landmarks, and recommend places. Additionally, we conduct interviews with New York City residents/visitors to validate the quantitative findings.

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

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Liu, Shenwei and Tajima, Keishi (2010): WildThumb: a web browser supporting efficient task management on wide displays. In: Proceedings of the 2010 International Conference on Intelligent User Interfaces 2010. pp. 159-168. http://doi.acm.org/10.1145/1719970.1719993

Nowadays the Web and Web browsers have become the most important and universal platform for people to search, view, process, and exchange various kinds of information. Consequently, today's users usually open many Web pages simultaneously in order to perform multiple tasks in parallel, which makes Web browsers crucial in our daily task management. However, no existing Web browser provides users with sufficient support for the management of many tabs or windows of opened pages. On the other hand, wide displays have become more affordable and prevalent, while extra space on those displays is not utilized effectively in Web browsing. In this paper, we propose a new Web browser interface aiming to support efficient task management in Web browsing on wide displays. In order to help users switch between opened Web pages, we show thumbnails of the pages in the extra space around the currently focused page. In the page thumbnails, we emphasize distinctive elements in each page in order to make the selection of the thumbnails easier. In addition, we calculate the relevance between pages based on users' switching history, and emphasize pages relevant to the current page by adjusting the size or opacity of the thumbnails. This further helps users find the thumbnails of needed pages, and also helps users get the overview of the page set related to the current task.

© All rights reserved Liu and Tajima and/or their publisher

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