Number of co-authors:27
Number of publications with 3 favourite co-authors:Jun Zhang:3George W. Furnas:3David A. Evans:2
Yan Qu's 3 most productive colleagues in number of publications:Clyde Lee Giles:71Mark S. Ackerman:67Jennifer J. Preece:46
The theory gives the answers, not the theorist.
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Publications by Yan Qu (bibliography)
Qu, Yan, Huang, Chen, Zhang, Pengyi and Zhang, Jun (2011): Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake. In: Proceedings of ACM CSCW11 Conference on Computer-Supported Cooperative Work 2011. pp. 25-34.
In this work, we conducted a case study of a popular Chinese microblogging site, Sina-Weibo, to investigate how Chinese netizens used microblogging in response to a major disaster: the 2010 Yushu Earthquake. We combined multiple analysis methods in this case study, including content analysis of microblog messages, trend analysis of different topics, and an analysis of the information spreading process. This study helped us understand the roles played by microblogging systems in response to major disasters and enabled us to gain insight into how to harness the power of microblogging to facilitate disaster response. In addition, this work supplements existing works with an exploration of a non-Western socio-cultural system: how Chinese Internet users used microblogging in disaster response.
© All rights reserved Qu et al. and/or their publisher
Zhang, Jun, Qu, Yan, Cody, Jane and Wu, Yulingling (2010): A case study of micro-blogging in the enterprise: use, value, and related issues. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 123-132.
This is a case study about the early adoption and use of micro-blogging in a Fortune 500 company. The study used several independent data sources: five months of empirical micro-blogging data, user demographic information from corporate HR records, a web based survey, and targeted interviews. The results revealed that users vary in their posting activities, reading behaviors, and perceived benefits. The analysis also identified barriers to adoption, such as the noise-to-value ratio paradoxes. The findings can help both practitioners and scholars build an initial understanding of how knowledge workers are likely to use micro-blogging in the enterprise.
© All rights reserved Zhang et al. and/or their publisher
Zhang, Pengyi, Qu, Yan, Huang, Chen, Jaeger, Paul T., Wells, John, Hayes, W. Scott, Hayes, James E. and Jin, Xin (2010): Collaborative identification and annotation of government deep web resources: a hybrid approach. In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia 2010. pp. 285-286.
In this extended abstract, we propose a hybrid approach of automatic means and social computing to identify and annotate Deep Web resources -- mainly databases and database portals -- to provide easy access to and descriptions and instruction on how to use these resources.
© All rights reserved Zhang et al. and/or their publisher
Qu, Yan, Wu, Philip and Wang, Xiaoqing (2009): Online Community Response to Major Disaster: A Study of Tianya Forum in the 2008 Sichuan Earthquake. In: HICSS 2009 - 42st Hawaii International International Conference on Systems Science 5-8 January, 2009, Waikoloa, Big Island, HI, USA. pp. 1-11.
Zhang, Xiaolong, Qu, Yan, Giles, Clyde Lee and Song, Piyou (2008): CiteSense: supporting sensemaking of research literature. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 677-680.
Making sense of research literature is a complicated process that involves various information seeking and comprehension tasks. The lack of support for sensemaking in existing systems presents important design challenges and opportunities. This research proposes the design of an integral environment to support literature search, selection, organization and comprehension. Our system prototype, CiteSense, offers lightweight interaction tools and a smooth transition among various information activities. This research deepens our understanding of the design of systems that support the sensemaking of research literature.
© All rights reserved Zhang et al. and/or ACM Press
Wu, Philip Fei, Qu, Yan and Preece, Jennifer J. (2008): Why an Emergency Alert System isn't Adopted: The Impact of Socio-Technical Context. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 101-104.
The purpose of this study is to understand the laggard adoption of an SMS-based emergency alert system on a university campus. Based on findings from in-depth interviews and a focus group, we discuss some critical issues in designing and implementing such alert systems, with a focus on the sociocultural factors that de-motivate people to use them. Our findings show that, even for a system with simple technology, the adoption process involves complex interactions between individual perceptions and the social context in which the system is situated.
© All rights reserved Wu et al. and/or their publisher
Zhang, Jun, Ye, Yang, Ackerman, Mark S. and Qu, Yan (2007): SISN: A Toolkit for Augmenting Expertise Sharing Via Social Networks. In: Schuler, Douglas (ed.) OCSC 2007 - Online Communities and Social Computing - Second International Conference July 22-27, 2007, Beijing, China. pp. 491-500.
Russell, Daniel M., Slaney, Malcolm, Qu, Yan and Houston, Mave (2006): Being Literate with Large Document Collections: Observational Studies and Cost Structure Tradeoffs. In: HICSS 2006 - 39th Hawaii International International Conference on Systems Science 4-7 January, 2006, Kauai, HI, USA. .
Qu, Yan and Furnas, George W. (2005): Sources of structure in sensemaking. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1989-1992.
A critical aspect of sensemaking is finding appropriate representations for information important to a task. As background for the design of future systems to help people in finding such representations, this paper reports a study of where people currently get aspects of structure for their representations Results show that representation construction and information seeking are closely coupled, as people get aspects of structure top down deducing from their previous knowledge, bottom up inducing from facts they find, and by borrowing from previous sensemaking efforts of others. The findings suggest important revisions of previous sensemaking theories and new opportunities for system design.
© All rights reserved Qu and Furnas and/or ACM Press
Grefenstette, Gregory, Qu, Yan and Evans, David A. (2004): Mining the Web to Create a Language Model for Mapping between English Names and Phrases and Japanese. In: 2004 IEEE/WIC/ACM International Conference on Web Intelligence WI 2004 20-24 September, 2004, Beijing, China. pp. 110-116.
Furnas, George W. and Qu, Yan (2003): Using pixel rewrites for shape-rich interaction. In: Cockton, Gilbert and Korhonen, Panu (eds.) Proceedings of the ACM CHI 2003 Human Factors in Computing Systems Conference April 5-10, 2003, Ft. Lauderdale, Florida, USA. pp. 369-376.
Qu, Yan, Grefenstette, Gregory and Evans, David A. (2003): Automatic transliteration for Japanese-to-English text retrieval. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2003. pp. 353-360.
For cross language information retrieval (CLIR) based on bilingual translation dictionaries, good performance depends upon lexical coverage in the dictionary. This is especially true for languages possessing few inter-language cognates, such as between Japanese and English. In this paper, we describe a method for automatically creating and validating candidate Japanese transliterated terms of English words. A phonetic English dictionary and a set of probabilistic mapping rules are used for automatically generating transliteration candidates. A monolingual Japanese corpus is then used for automatically validating the transliterated terms. We evaluate the usage of the extracted English-Japanese transliteration pairs with Japanese to English retrieval experiments over the CLEF bilingual test collections. The use of our automatically derived extension to a bilingual translation dictionary improves average precision, both before and after pseudo-relevance feedback, with gains
© All rights reserved Qu et al. and/or ACM Press
Furnas, George W., Qu, Yan, Shrivastava, Sanjeev and Peters, Gregory (2000): The Use of Intermediat Graphical Constructions in Problem Solving with Dynamic, Pixel-Level Diagrams. In: Anderson, Michael, Cheng, Peter C-H. and Haarslev, Volker (eds.) Diagrams 2000 - Theory and Application of Diagrams - First International Conference September 1-3, 2000, Edinburgh, Scotland, UK. pp. 314-329.
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