Number of co-authors:33
Number of publications with 3 favourite co-authors:Arie E. Kaufman:8Bongwon Suh:4Taosong He:3
Lichan Hong's 3 most productive colleagues in number of publications:Arie E. Kaufman:87Stuart K. Card:75Peter Pirolli:46
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Publications by Lichan Hong (bibliography)
Hecht, Brent, Hong, Lichan and Suh, Bongwon (2011): Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 237-246. Available online
Little research exists on one of the most common, oldest, and most utilized forms of online social geographic information: the 'location' field found in most virtual community user profiles. We performed the first in-depth study of user behavior with regard to the location field in Twitter user profiles. We found that 34% of users did not provide real location information, frequently incorporating fake locations or sarcastic comments that can fool traditional geographic information tools. When users did input their location, they almost never specified it at a scale any more detailed than their city. In order to determine whether or not natural user behaviors have a real effect on the 'locatability' of users, we performed a simple machine learning experiment to determine whether we can identify a user's location by only looking at what that user tweets. We found that a user's country and state can in fact be determined easily with decent accuracy, indicating that users implicitly reveal location information, with or without realizing it. Implications for location-based services and privacy are discussed.
© All rights reserved Hecht et al. and/or their publisher
Convertino, Gregorio, Kairam, Sanjay, Hong, Lichan, Suh, Bongwon and Chi, Ed H. (2010): Designing a cross-channel information management tool for workers in enterprise task forces. In: Proceedings of the 2010 International Conference on Advanced Visual Interfaces 2010. pp. 103-110. Available online
This paper presents a research project on the design of a cross-channel information management tool for knowledge workers: we focus on IT services professionals in a large enterprise who work in multiple ad hoc task forces. Through three rounds of investigation, we characterized their work practices and needs, specified their requirements for a cross-channel information management tool, and designed and evaluated a prototype to address these needs. We found that these workers shared the problem of managing information across multiple channels, requiring better support for aggregating, filtering, and organizing this information. We report the requirements elicited and the prototypes built during the design process.
© All rights reserved Convertino et al. and/or their publisher
Hong, Lichan, Convertino, Gregorio, Suh, Bongwon, Chi, Ed H. and Kairam, Sanjay (2010): FeedWinnower: layering structures over collections of information streams. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 947-950. Available online
Information overload is a growing threat to the productivity of today's knowledge workers, who need to keep track of multiple streams of information from various sources. RSS feed readers are a popular choice for syndicating information streams, but current tools tend to contribute to the overload problem instead of solving it. We introduce FeedWinnower, an enhanced feed aggregator that helps readers to filter feed items by four facets (topic, people, source, and time), thus facilitating feed triage. The combination of the four facets provides a powerful way for users to slice and dice their personal feeds. In addition, we present a formative evaluation of the prototype conducted with 15 knowledge workers in two different organizations.
© All rights reserved Hong et al. and/or their publisher
Bernstein, Michael S., Suh, Bongwon, Hong, Lichan, Chen, Jilin, Kairam, Sanjay and Chi, Ed H. (2010): Eddi: interactive topic-based browsing of social status streams. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 303-312. Available online
Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically-ordered morass to find tweets of interest. We present an approach to organizing a user's own feed into coherently clustered trending topics for more directed exploration. Our Twitter client, called Eddi, groups tweets in a user's feed into topics mentioned explicitly or implicitly, which users can then browse for items of interest. To implement this topic clustering, we have developed a novel algorithm for discovering topics in short status updates powered by linguistic syntactic transformation and callouts to a search engine. An algorithm evaluation reveals that search engine callouts outperform other approaches when they employ simple syntactic transformation and backoff strategies. Active Twitter users evaluated Eddi and found it to be a more efficient and enjoyable way to browse an overwhelming status update feed than the standard chronological interface.
© All rights reserved Bernstein et al. and/or their publisher
Budiu, Raluca, Pirolli, Peter and Hong, Lichan (2009): Remembrance of things tagged: how tagging effort affects tag production and human memory. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 615-624. Available online
We developed a low-effort interaction method called Click2Tag for social bookmarking. Information foraging theory predicts that the production of tags will increase as the effort required to do so is lowered, while the amount of time invested decreases. However, models of human memory suggest that changes in the tagging process may affect subsequent human memory for the tagged material. We compared (1) low-effort tagging by mouse-clicking (Click2Tag), (2) traditional tagging by typing (type-to-tag), and (3) baseline, no tagging conditions. Our results suggest that (a) Click2Tag increases tagging rates, (b) Click2Tag improves recognition of facts from the tagged text when compared to type-to-tag, and (c) Click2Tag is comparable to the no-tagging baseline condition on recall measures. Results suggest that tagging by clicking strengthens the memory traces by repeated readings of relevant words in the text and, thus, improves recognition.
© All rights reserved Budiu et al. and/or ACM Press
Hong, Lichan and Chi, Ed H. (2009): Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1791-1794. Available online
A common practice in work groups is to share links to interesting web pages. Moreover, passages in these web pages are often cut-and-pasted, and used in various other contexts. In this paper we report how we explore the idea of paragraph fingerprinting to achieve the goal of annotate once, appear anywhere in a social annotation system called SparTag.us. This work was motivated by the prominence of redundant contents with different URLs on the Web and shared documents that are read and re-read within enterprises. Our technique attaches users' annotations to the contents of paragraphs, enabling annotations to move along with the paragraphs within dynamic live pages and travel across page boundary to other pages as long as the paragraph contents remain intact. We also describe how we use paragraph fingerprinting to facilitate the social sharing of information nuggets among our users.
© All rights reserved Hong and Chi and/or ACM Press
Nelson, Les, Held, Christoph, Pirolli, Peter, Hong, Lichan, Schiano, Diane and Chi, Ed H. (2009): With a little help from my friends: examining the impact of social annotations in sensemaking tasks. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1795-1798. Available online
In prior work we reported on the design of a social annotation system, SparTag.us, for use in sensemaking activities such as work-group reading and report writing. Previous studies of note-taking systems have demonstrated behavioral differences in social annotation practices, but are not clear in the actual performance gains provided by social features. This paper presents a laboratory study aimed at evaluating the learning effect of social features in SparTag.us. We found significant learning gains, and consider implications for design and for understanding the underlying mechanisms in play when people use social annotation systems.
© All rights reserved Nelson et al. and/or ACM Press
Hong, Lichan, Chi, Ed H., Budiu, Raluca, Pirolli, Peter and Nelson, Les (2008): SparTag.us: a low cost tagging system for foraging of web content. In: Levialdi, Stefano (ed.) AVI 2008 - Proceedings of the working conference on Advanced Visual Interfaces May 28-30, 2008, Napoli, Italy. pp. 65-72. Available online
Chi, Ed H., Gumbrecht, Michelle and Hong, Lichan (2007): Visual Foraging of Highlighted Text: An Eye-Tracking Study. In: Jacko, Julie A. (ed.) HCI International 2007 - 12th International Conference - Part III 2007. pp. 589-598. Available online
Hong, Lichan, Chi, Ed H. and Card, Stuart K. (2005): Annotating 3D electronic books. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1463-1466. Available online
The importance of annotations, as a by-product of the reading activity, cannot be overstated. Annotations help users in the process of analyzing, re-reading, and recalling detailed facts such as prior analyses and relations to other works. As elec-tronic reading become pervasive, digital annotations will become part of the essential records of the reading activity. But creating and rendering annotations on a 3D book and other objects in a 3D workspace is non-trivial. In this paper, we present our exploration of how to use 3D graphics techniques to create realistic annotations with acceptable frame rates. We discuss the pros and cons of several techniques and detail our hybrid solution.
© All rights reserved Hong et al. and/or ACM Press
Card, Stuart K., Hong, Lichan, Mackinlay, Jock D. and Chi, Ed H. (2004): 3Book: a 3D electronic smart book. In: Costabile, Maria Francesca (ed.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 303-307. Available online
Mao, Xiaoyang, Hong, Lichan, Kaufman, Arie E., Fujita, Noboru and Kikukawa, Makoto (1998): Multi-Granularity Noise for Curvilinear Grid LIC. In: Graphics Interface 98 June 18-20, 1998, Vancouver, British Columbia, Canada. pp. 193-200. Available online
Hong, Lichan and Kaufman, Arie E. (1998): Accelerated ray-casting for curvilinear volumes. In: IEEE Visualization 1998 1998. pp. 247-253. Available online
You, Suya, Hong, Lichan, Wan, Ming, Junyaprasert, Kittiboon, Kaufman, Arie E., Muraki, Shigeru, Zhou, Yong, Wax, Mark and Liang, Zhengrong (1997): Interactive volume rendering for virtual colonoscopy. In: IEEE Visualization 1997 1997. pp. 433-436. Available online
He, Taosong, Hong, Lichan, Kaufman, Arie E. and Pfister, Hanspeter (1996): Generation of Transfer Functions with Stochastic Search Techniques. In: IEEE Visualization 1996 1996. pp. 227-234.
He, Taosong, Hong, Lichan, Kaufman, Arie E., Varshney, Amitabh and Wang, Sidney W. (1995): Voxel Based Object Simplification. In: IEEE Visualization 1995 1995. pp. 296-303. Available online
Hong, Lichan, Mao, Xiaoyang and Kaufman, Arie E. (1995): Interactive Visualization of Mixed Scalar and Vector Fields. In: IEEE Visualization 1995 1995. pp. 240-247. Available online
Mao, Xiaoyang, Hong, Lichan and Kaufman, Arie E. (1995): Splatting of Curvilinear Volumes. In: IEEE Visualization 1995 1995. pp. 61-68. Available online
Avila, Ricardo S., He, Taosong, Hong, Lichan, Kaufman, Arie E., Pfister, Hanspeter, Silva, Claudio T., Sobierajski, Lisa M. and Wang, Sidney W. (1994): VolVis: A Diversified Volume Visualization System. In: Bergeron, R. Daniel and Kaufman, Arie E. (eds.) VIS 1994 - Proceedings IEEE Visualization 1994 October 17-21, 1994, Washington, DC, USA. pp. 31-38.
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