Publication statistics

Pub. period:1997-2009
Pub. count:17
Number of co-authors:23



Co-authors

Number of publications with 3 favourite co-authors:

Loren Terveen:11
Will Hill:6
Chris Harrison:5

 

 

Productive colleagues

Brian Amento's 3 most productive colleagues in number of publications:

Loren Terveen:69
Steve Whittaker:68
Deborah Hix:47
 
 
 

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Brian Amento

Has also published under the name of:
"B. Amento"

 

Publications by Brian Amento (bibliography)

 what's this?
2009
 
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Amento, Brian, Harrison, Chris, Nathan, Mukesh and Terveen, Loren (2009): Chapter
XII - 
Asynchronous
 Communication: 
Fostering 
Social
 Interaction 
with 
CollaboraTV. In: Geerts, David (ed.). "Social 
Interactive 
Television: 
Immersive 
Shared 
Experiences 
and
 Perspectives". Hershey, PA, USA: pp. 204-224

 
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Amento, Brian, Harrison, Chris, Nathan, Mukesh and Terveen, Loren (2009): ChapterXII - Asynchronous Communication: Fostering Social Interaction with CollaboraTV. In: Geerts, David (ed.). "Social Interactive Television: Immersive Shared Experiences and Perspectives". Hershey, PA, USA: pp. 204-224

2008
 
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Harrison, Chris, Amento, Brian and Stead, Larry (2008): iEPG: an ego-centric electronic program guide and recommendation interface. In: Darnell, Michael J., Masthoff, Judith, Panabaker, Sheri, Sullivan, Marc and Lugmayr, Artur (eds.) UXTV 2008 - Proceeding of the 1st International Conference on Designing Interactive User Experiences for TV and Video October 22-24, 2008, Silicon Valley, California, USA. pp. 23-26. Available online

 
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Nathan, Mukesh, Harrison, Chris, Yarosh, Svetlana, Terveen, Loren, Stead, Larry and Amento, Brian (2008): CollaboraTV: making television viewing social again. In: Darnell, Michael J., Masthoff, Judith, Panabaker, Sheri, Sullivan, Marc and Lugmayr, Artur (eds.) UXTV 2008 - Proceeding of the 1st International Conference on Designing Interactive User Experiences for TV and Video October 22-24, 2008, Silicon Valley, California, USA. pp. 85-94. Available online

2007
 
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Harrison, Chris, Amento, Brian, Kuznetsov, Stacey and Bell, Robert (2007): Rethinking the progress bar. In: Proceedings of the ACM Symposium on User Interface Software and Technology October 7-10, 2007, Newport, Rhode Island, USA. pp. 115-118. Available online

Progress bars are prevalent in modern user interfaces. Typically, a linear function is employed such that the progress of the bar is directly proportional to how much work has been completed. However, numerous factors cause progress bars to proceed at non-linear rates. Additionally, humans perceive time in a non-linear way. This paper explores the impact of various progress bar behaviors on user perception of process duration. The results are used to suggest several design considerations that can make progress bars appear faster and ultimately improve users' computing experience.

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

2006
 
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Burke, Moira, Amento, Brian and Isenhour, Philip (2006): Error correction of voicemail transcripts in SCANMail. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 339-348. Available online

Despite its widespread use, voicemail presents numerous usability challenges: People must listen to messages in their entirety, they cannot search by keywords, and audio files do not naturally support visual skimming. SCANMail overcomes these flaws by automatically generating text transcripts of voicemail messages and presenting them in an email-like interface. Transcripts facilitate quick browsing and permanent archive. However, errors from the automatic speech recognition (ASR) hinder the usefulness of the transcripts. The work presented here specifically addresses these problems by evaluating user-initiated error correction of transcripts. User studies of two editor interfaces-a grammar-assisted menu and simple replacement by typing-reveal reduced audio playback times and an emphasis on editing important words with the menu, suggesting its value in mobile environments where limited input capabilities are the norm and user privacy is essential. The study also adds to the scarce body of work on ASR confidence shading, suggesting that shading may be more helpful than previously reported.

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

2004
 
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Whittaker, Steve and Amento, Brian (2004): Semantic speech editing. In: Dykstra-Erickson, Elizabeth and Tscheligi, Manfred (eds.) Proceedings of ACM CHI 2004 Conference on Human Factors in Computing Systems April 24-29, 2004, Vienna, Austria. pp. 527-534. Available online

Editing speech data is currently time-consuming and error-prone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying speech to identify words and phrases to edit. Instead we developed a semantic editor that reduces the need for extensive sampling by providing access to meaning. The editor shows a time-aligned errorful transcript produced by applying automatic speech recognition (ASR) to the original speech. Users visually scan the words in the transcript to identify important phrases. They then edit the transcript directly using standard word processing 'cut and paste' operations, which extract the corresponding time-aligned speech. ASR errors mean that users must supplement what they read in the transcript by accessing the original speech. Even when there are transcript errors, however, the semantic representation still provides users with enough information to target what they edit and play, reducing the need for extensive sampling. A laboratory evaluation showed that semantic editing is more efficient than acoustic editing even when ASR is highly inaccurate.

© All rights reserved Whittaker and Amento and/or ACM Press

2003
 
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Amento, Brian, Terveen, Loren, Hill, Will, Hix, Deborah and Schulman, Robert S. (2003): Experiments in social data mining: The TopicShop system. In ACM Transactions on Computer-Human Interaction, 10 (1) pp. 54-85. Available online

Social data mining systems enable people to share opinions and benefit from each other's experience. They do this by mining and redistributing information from computational records of social activity such as Usenet messages, system usage history, citations, or hyperlinks. Some general questions for evaluating such systems are: (1) is the extracted information valuable? and (2) do interfaces based on the information improve user task performance? We report here on TopicShop, a system that mines information from the structure and content of Web pages and provides an exploratory information workspace interface. We carried out experiments that yielded positive answers to both evaluation questions. First, a number of automatically computable features about Web sites do a good job of predicting expert quality judgments about sites. Second, compared to popular Web search interfaces, the TopicShop interface to this information lets users select significantly more high-quality sites, in less time and with less effort, and to organize the sites they select into personally meaningful collections more quickly and easily. We conclude by discussing how our results may be applied and considering how they touch on general issues concerning quality, expertise, and consensus.

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

 
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Whittaker, Steve and Amento, Brian (2003): Seeing what your are hearing: Co-ordinating responses to trouble reports in network troubleshooting. In: Proceedings of the Eighth European Conference on Computer-Supported Cooperative Work 2003. pp. 219-238.

2002
 
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Whittaker, Steve, Hirschberg, Julia, Amento, Brian, Stark, Litza, Bacchiani, Michiel, Isenhour, Philip, Stead, Larry, Zamchick, Gary and Rosenberg, Aaron (2002): SCANMail: a voicemail interface that makes speech browsable, readable and searchable. 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. 275-282.

 
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Terveen, Loren, McMackin, Jessica, Amento, Brian and Hill, Will (2002): Specifying preferences based on user history. 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. 315-322.

2000
 
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Amento, Brian, Terveen, Loren, Hill, Will and Hix, Deborah (2000): TopicShop: Enhanced Support for Evaluating and Organizing Collections of Web Sites. In: Ackerman, Mark S. and Edwards, Keith (eds.) Proceedings of the 13th annual ACM symposium on User interface software and technology November 06 - 08, 2000, San Diego, California, United States. pp. 201-209. Available online

 
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Amento, Brian, Terveen, Loren and Hill, Will (2000): Does "Authority" Mean Quality? Predicting Expert Quality Ratings of Web Documents. In: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2000. pp. 296-303. Available online

1999
 
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Amento, Brian, Hill, Will, Terveen, Loren, Ju, Peter and Hix, Deborah (1999): An Empirical Evaluation of User Interfaces for Topic Management of Web Sites. In: Altom, Mark W. and Williams, Marian G. (eds.) Proceedings of the ACM CHI 99 Human Factors in Computing Systems Conference May 15-20, 1999, Pittsburgh, Pennsylvania. pp. 552-559. Available online

Topic management is the task of gathering, evaluating, organizing, and sharing a set of web sites for a specific topic. Current web tools do not provide adequate support for this task. We created the TopicShop system to address this need. TopicShop includes (1) a webcrawler that discovers relevant web sites and builds site profiles, and (2) user interfaces for exploring and organizing sites. We conducted an empirical study comparing user performance with TopicShop vs. Yahoo. TopicShop subjects found over 80% more high-quality sites (where quality was determined by independent expert judgements) while browsing only 81% as many sites and completing their task in 89% of the time. The site profile data that TopicShop provides -- in particular, the number of pages on a site and the number of other sites that link to it -- was the key to these results, as users exploited it to identify the most promising sites quickly and easily.

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

 
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Terveen, Loren, Hill, Will and Amento, Brian (1999): Constructing, Organizing, and Visualizing Collections of Topically Related Web Resources. In ACM Computing Surveys (CSUR), 6 (1) pp. 67-94. Available online

For many purposes, the Web page is too small a unit of interaction and analysis. Web sites are structured multimedia documents consisting of many pages, and users often are interested in obtaining and evaluating entire collections of topically related sites. Once such a collection is obtained, users face the challenge of exploring, comprehending, and organizing the items. We report four innovations that address these user needs: (1) we replaced the Web page with the Web site as the basic unit of interaction and analysis; (2) we defined a new information structure, the clan graph, that groups together sets of related sites; (3) we augment the representation of a site with a site profile, information about site structure and content that helps inform user evaluation of a site; and (4) we invented a new graph visualization, the auditorium visualization, that reveals important structural and content properties of sites within a clan graph. Detailed analysis and user studies document the utility of this approach. The clan graph construction algorithm tends to filter out irrelevant sites and discover additional relevant items. The auditorium visualization, augmented with drill-down capabilities to explore site profile data, helps users to find high-quality sites as well as sites that serve a particular function.

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

1997
 
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Terveen, Loren, Hill, William C., Amento, Brian, McDonald, David W. and Creter, Josh (1997): Building Task-Specific Interfaces to High Volume Conversational Data. In: Pemberton, Steven (ed.) Proceedings of the ACM CHI 97 Human Factors in Computing Systems Conference March 22-27, 1997, Atlanta, Georgia. pp. 226-233. Available online

As people participate in the thousands of global conversations that comprise Usenet news, one thing they do is post their opinions of web resources. Phoaks is a collaborative filtering system that continuously parses, classifies, abstracts and tallies those opinions. About 3,500 users per day consult Phoaks web pages that reflect the results. Phoaks also features a general architecture for building similar collaborative filtering interfaces to conversational data. We report here on the Phoaks resource recommendation interface, the architecture, and the issues and experience that make up its rationale.

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

 
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Terveen, Loren, Hill, William C., Amento, Brian, McDonald, David W. and Creter, Josh (1997): Phoaks: A System for Sharing Recommendations. In Communications of the ACM, 40 (3) pp. 59-62.

 
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