Publication statistics

Pub. period:2002-2011
Pub. count:15
Number of co-authors:18


Number of publications with 3 favourite co-authors:

Gregorio Convertino:
Evelin Wollny:
Peter Pirolli:



Productive colleagues

Bongwon Suh's 3 most productive colleagues in number of publications:

Benjamin B. Beders..:70
Peter Pirolli:46
Allison Woodruff:32

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Bongwon Suh

Bongwon Suh is a Ph.D. student in Computer Science at the University of Maryland, College Park. He is a member of the Human Computer Interaction Laboratory, and his research interests include browsing large sets of documents, zoomable user interfaces, information visualization, and user interface design. He is currently developing the PhotoMesa Image Browser. Bongwon received an M.S. in Computer Science and a B.A. in Computer Science and Statistics from Seoul National University, Seoul, Korea.


Publications by Bongwon Suh (bibliography)

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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.

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

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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.

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

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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.

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

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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.

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

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Pirolli, Peter, Wollny, Evelin and Suh, Bongwon (2009): So you know you're getting the best possible information: a tool that increases Wikipedia credibility. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1505-1508.

An experiment was conducted to study how credibility judgments about Wikipedia are affected by providing users with an interactive visualization (WikiDashboard) of article and author editing history. Overall, users who self-reported higher use of Internet information and higher rates of Wikipedia usage tended to produce lower credibility judgments about Wikipedia articles and authors. However, use of WikiDashboard significantly increased article and author credibility judgments, with effect sizes larger than any other measured effects of background media usage and attitudes on Wikiepedia credibility. The results suggest that increased exposure to the editing/authoring histories of Wikipedia increases credibility judgments.

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

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Kittur, Aniket, Chi, Ed H. and Suh, Bongwon (2009): What's in Wikipedia?: mapping topics and conflict using socially annotated category structure. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1509-1512.

Wikipedia is an online encyclopedia which has undergone tremendous growth. However, this same growth has made it difficult to characterize its content and coverage. In this paper we develop measures to map Wikipedia using its socially annotated, hierarchical category structure. We introduce a mapping technique that takes advantage of socially-annotated hierarchical categories while dealing with the inconsistencies and noise inherent in the distributed way that they are generated. The technique is demonstrated through two applications: mapping the distribution of topics in Wikipedia and how they have changed over time; and mapping the degree of conflict found in each topic area. We also discuss the utility of the approach for other applications and datasets involving collaboratively annotated category hierarchies.

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

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Suh, Bongwon, Convertino, Gregorio, Chi, Ed H. and Pirolli, Peter (2009): The singularity is not near: slowing growth of Wikipedia. In: Proceedings of the 2009 International Symposium on Wikis 2009. p. 8.

Prior research on Wikipedia has characterized the growth in content and editors as being fundamentally exponential in nature, extrapolating current trends into the future. We show that recent editing activity suggests that Wikipedia growth has slowed, and perhaps plateaued, indicating that it may have come against its limits to growth. We measure growth, population shifts, and patterns of editor and administrator activities, contrasting these against past results where possible. Both the rate of page growth and editor growth has declined. As growth has declined, there are indicators of increased coordination and overhead costs, exclusion of newcomers, and resistance to new edits. We discuss some possible explanations for these new developments in Wikipedia including decreased opportunities for sharing existing knowledge and increased bureaucratic stress on the socio-technical system itself.

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

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Kittur, Aniket, Chi, Ed H. and Suh, Bongwon (2008): Crowdsourcing user studies with Mechanical Turk. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 453-456.

User studies are important for many aspects of the design process and involve techniques ranging from informal surveys to rigorous laboratory studies. However, the costs involved in engaging users often requires practitioners to trade off between sample size, time requirements, and monetary costs. Micro-task markets, such as Amazon's Mechanical Turk, offer a potential paradigm for engaging a large number of users for low time and monetary costs. Here we investigate the utility of a micro-task market for collecting user measurements, and discuss design considerations for developing remote micro user evaluation tasks. Although micro-task markets have great potential for rapidly collecting user measurements at low costs, we found that special care is needed in formulating tasks in order to harness the capabilities of the approach.

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

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Suh, Bongwon, Chi, Ed H., Kittur, Aniket and Pendleton, Bryan A. (2008): Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1037-1040.

Wikis are collaborative systems in which virtually anyone can edit anything. Although wikis have become highly popular in many domains, their mutable nature often leads them to be distrusted as a reliable source of information. Here we describe a social dynamic analysis tool called WikiDashboard which aims to improve social transparency and accountability on Wikipedia articles. Early reactions from users suggest that the increased transparency afforded by the tool can improve the interpretation, communication, and trustworthiness of Wikipedia articles.

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

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Kittur, Aniket, Suh, Bongwon and Chi, Ed H. (2008): Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia. In: Proceedings of ACM CSCW08 Conference on Computer-Supported Cooperative Work 2008. pp. 477-480.

Wikipedia has become one of the most important information resources on the Web by promoting peer collaboration and enabling virtually anyone to edit anything. However, this mutability also leads many to distrust it as a reliable source of information. Although there have been many attempts at developing metrics to help users judge the trustworthiness of content, it is unknown how much impact such measures can have on a system that is perceived as inherently unstable. Here we examine whether a visualization that exposes hidden article information can impact readers' perceptions of trustworthiness in a wiki environment. Our results suggest that surfacing information relevant to the stability of the article and the patterns of editor behavior can have a significant impact on users' trust across a variety of page types.

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

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Kittur, Aniket, Suh, Bongwon, Pendleton, Bryan A. and Chi, Ed H. (2007): He says, she says: conflict and coordination in Wikipedia. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 453-462.

Wikipedia, a wiki-based encyclopedia, has become one of the most successful experiments in collaborative knowledge building on the Internet. As Wikipedia continues to grow, the potential for conflict and the need for coordination increase as well. This article examines the growth of such non-direct work and describes the development of tools to characterize conflict and coordination costs in Wikipedia. The results may inform the design of new collaborative knowledge systems.

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

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 Cited in the following chapter:

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Kang, Hyunmo, Bederson, Benjamin B. and Suh, Bongwon (2007): Capture, Annotate, Browse, Find, Share: Novel Interfaces for Personal Photo Management. In International Journal of Human-Computer Interaction, 23 (3) pp. 315-337.

The vision of ubiquitous digital photos has arrived. Yet, despite their broad popularity, significant shortfalls remain in the tools used to manage them. We believe that with a bit more creativity and effort, the photo industry can solve many of these problems, offering tools which better support accurate, rapid, and safe shared annotations with comfortable and efficient browsing and search. In this article, we review a number of projects of ours and others on interfaces for photo management. We describe the problems that we see in existing tools and our vision for improving them.

© All rights reserved Kang et al. and/or Lawrence Erlbaum Associates

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Suh, Bongwon and Bederson, Benjamin B. (2007): Semi-automatic photo annotation strategies using event based clustering and clothing based person recognition. In Interacting with Computers, 19 (4) pp. 524-544.

Managing a large number of digital photos is a challenging task for casual users. Personal photos often don't have rich metadata, or additional information associated with them. However, available metadata can play a crucial role in managing photos. Labeling the semantic content of photos (i.e., annotating them), can increase the amount of metadata and facilitate efficient management. However, manual annotation is tedious and labor intensive while automatic metadata extraction techniques often generate inaccurate and irrelevant results. This paper describes a semi-automatic annotation strategy that takes advantage of human and computer strengths. The semi-automatic approach enables users to efficiently update automatically obtained metadata interactively and incrementally. Even though automatically identified metadata are compromised with inaccurate recognition errors, the process of correcting inaccurate information can be faster and easier than manually adding new metadata from scratch. In this paper, we introduce two photo clustering algorithms for generating meaningful photo groups: (1) Hierarchical event clustering; and (2) Clothing based person recognition, which assumes that people who wear similar clothing and appear in photos taken in one day are very likely to be the same person. To explore our semi-automatic strategies, we designed and implemented a prototype called SAPHARI (Semi-Automatic PHoto Annotation and Recognition Interface). The prototype provides an annotation framework which focuses on making bulk annotations on automatically identified photo groups. The prototype automatically creates photo clusters based on events, people, and file metadata so that users can easily bulk annotation photos. We performed a series of user studies to investigate the effectiveness and usability of the semi-automatic annotation techniques when applied to personal photo collections. The results show that users were able to make annotations significantly faster with event clustering using SAPHARI. We also found that users clearly preferred the semi-automatic approaches.

© All rights reserved Suh and Bederson and/or Elsevier Science

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Suh, Bongwon, Ling, Haibin, Bederson, Benjamin B. and Jacobs, David W. (2003): Automatic thumbnail cropping and its effectiveness. In: Proceedings of the 16th annural ACM Symposium on User Interface Software and Technology November, 2-5, 2003, Vancouver, Canada. pp. 95-104.

Thumbnail images provide users of image retrieval and browsing systems with a method for quickly scanning large numbers of images. Recognizing the objects in an image is important in many retrieval tasks, but thumbnails generated by shrinking the original image often render objects illegible. We study the ability of computer vision systems to detect key components of images so that automated cropping, prior to shrinking, can render objects more recognizable. We evaluate automatic cropping techniques 1) based on a general method that detects salient portions of images, and 2) based on automatic face detection. Our user study shows that these methods result in small thumbnails that are substantially more recognizable and easier to find in the context of visual search.

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

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Suh, Bongwon, Woodruff, Allison, Rosenholtz, Ruth and Glass, Alyssa (2002): Popout prism: adding perceptual principles to overview+detail document interfaces. In: Terveen, Loren (ed.) Proceedings of the ACM CHI 2002 Conference on Human Factors in Computing Systems Conference April 20-25, 2002, Minneapolis, Minnesota. pp. 251-258.

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