Number of co-authors:18
Number of publications with 3 favourite co-authors:Brad A. Myers:6Allison Woodruff:2Jeffrey Stylos:2
Andrew Faulring's 3 most productive colleagues in number of publications:Brad A. Myers:155Jacob O. Wobbrock:70John Zimmerman:51
Computer analyst to programmer: "You start coding. I'll go find out what they want."
-- Popular computer one-liner
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Publications by Andrew Faulring (bibliography)
Faulring, Andrew, Myers, Brad A., Mohnkern, Ken, Schmerl, Bradley, Steinfeld, Aaron, Zimmerman, John, Smailagic, Asim, Hansen, Jeffery and Siewiorek, Daniel (2010): Agent-assisted task management that reduces email overload. In: Proceedings of the 2010 International Conference on Intelligent User Interfaces 2010. pp. 61-70.
RADAR is a multiagent system with a mixed-initiative user interface designed to help office workers cope with email overload. RADAR agents observe experts to learn models of their strategies and then use the models to assist other people who are working on similar tasks. The agents' assistance helps a person to transition from the normal email-centric workflow to a more efficient task-centric workflow. The Email Classifier learns to identify tasks contained within emails and then inspects new emails for similar tasks. A novel task-management user interface displays the found tasks in a to-do list, which has integrated support for performing the tasks. The Multitask Coordination Assistant learns a model of the order in which experts perform tasks and then suggests a schedule to other people who are working on similar tasks. A novel Progress Bar displays the suggested schedule of incomplete tasks as well as the completed tasks. A large evaluation demonstrated that novice users confronted with an email overload test performed significantly better (a 37% better overall score with a factor of four fewer errors) when assisted by the RADAR agents.
© All rights reserved Faulring et al. and/or their publisher
Eisenberg, Daniel S., Stylos, Jeffrey, Faulring, Andrew and Myers, Brad A. (2010): Using Association Metrics to Help Users Navigate API Documentation. In: Hundhausen, Christopher D., Pietriga, Emmanuel, Diaz, Paloma and Rosson, Mary Beth (eds.) IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010 21-25 September 2010, 2010, Leganés-Madrid, Spain. pp. 23-30.
Chau, Duen Horng, Myers, Brad A. and Faulring, Andrew (2008): What to do when search fails: finding information by association. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 999-1008.
Sometimes people cannot remember the names or locations of things on their computer, but they can remember what other things are associated with them. We created Feldspar, the first system that fully supports this associative retrieval of personal information on the computer. Feldspar's contributions include (1) an intuitive user interface that allows users to find information by interactively and incrementally specifying multiple levels of associations as retrieval queries, such as: "find the file from the person who I met at an event in May"; and (2) algorithms for collecting the association information and for providing answers to associative queries in real-time. A user study showed that Feldspar is easy to use, and suggested that it might be faster than conventional browsing and searching for these kinds of retrieval tasks. Feldspar could be an important addition to search and browsing tools.
© All rights reserved Chau et al. and/or ACM Press
González, Iván E., Wobbrock, Jacob O., Chau, Duen Horng, Faulring, Andrew and Myers, Brad A. (2007): Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels. In: Proceedings of the 2007 Conference on Graphics Interface 2007. pp. 95-102.
The increasing quantity and complexity of in-vehicle systems creates a demand for user interfaces which are suited to driving. The steering wheel is a common location for the placement of buttons to control navigation, entertainment, and environmental systems, but what about a small touchpad? To investigate this question, we embedded a Synaptics StampPad in a computer game steering wheel and evaluated seven methods for selecting from a list of over 3000 street names. Selection speed was measured while stationary and while driving a simulator. Results show that the EdgeWrite gestural text entry method is about 20% to 50% faster than selection-based text entry or direct list-selection methods. They also show that methods with slower selection speeds generally resulted in faster driving speeds. However, with EdgeWrite, participants were able to maintain their speed and avoid incidents while selecting and driving at the same time. Although an obvious choice for constrained input, on-screen keyboards generally performed quite poorly.
© All rights reserved González et al. and/or Canadian Information Processing Society
Faulring, Andrew and Myers, Brad A. (2005): Enabling rich human-agent interaction for a calendar scheduling agent. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1367-1370.
The RhaiCAL system provides novel visualizations and interaction techniques for interacting with an intelligent agent, with an emphasis on calendar scheduling. After an agent interprets natural language containing meeting information, a user can easily correct mistakes using RhaiCAL's clarification dialogs, which provide the agent with feedback to improve its performance. When an agent proposes actions to take on the user's behalf, it can ask the user to confirm them. RhaiCAL uses novel visualizations to present the proposal to the user and allow them to modify the proposal, and informs the agent of the user's actions in a manner that supports long-term learning of the user's preferences. We have designed a high-level XML-based language that allows an agent to express its questions and proposed actions without mentioning user interface details, and that enables RhaiCAL to generate high-quality user interfaces.
© All rights reserved Faulring and Myers and/or ACM Press
Stylos, Jeffrey, Myers, Brad A. and Faulring, Andrew (2004): Citrine: providing intelligent copy-and-paste. In: Proceedings of the 2004 ACM Symposium on User Interface Software and Technology 2004. pp. 185-188.
We present Citrine, a system that extends the widespread copy-and-paste interaction technique with intelligent transformations, making it useful in more situations. Citrine uses text parsing to find the structure in copied text and allows users to paste the structured information, which might have many pieces, in a single paste operation. For example, using Citrine, a user can copy the text of a meeting request and add it to the Outlook calendar with a single paste. In applications such as Excel, users can teach Citrine by example how to copy and paste data by showing it which fields go into which columns, and can use this to copy or paste many items at a time in a user-defined manner. Citrine can be used with a wide variety of applications and types of data and can be easily extended to work with more. It currently includes parsers that recognize contact information, calendar appointments and bibliographic citations. It works with Internet Explorer, Outlook, Excel, Palm Desktop, EndNote and other applications. Citrine is available to download on the internet.
© All rights reserved Stylos et al. and/or ACM Press
Woodruff, Allison, Rosenholtz, Ruth, Morrison, Julie Bauer, Faulring, Andrew and Pirolli, Peter (2002): A comparison of the use of text summaries, plain thumbnails, and enhanced thumbnails for Web search tasks. In JASIST - Journal of the American Society for Information Science and Technology, 53 (2) pp. 172-185.
Woodruff, Allison, Faulring, Andrew, Rosenholtz, Ruth, Morrsion, Julie and Pirolli, Peter (2001): Using Thumbnails to Search the Web. In: Beaudouin-Lafon, Michel and Jacob, Robert J. K. (eds.) Proceedings of the ACM CHI 2001 Human Factors in Computing Systems Conference March 31 - April 5, 2001, Seattle, Washington, USA. pp. 198-205.
We introduce a technique for creating novel, textually-enhanced thumbnails of Web pages. These thumbnails combine the advantages of image thumbnails and text summaries to provide consistent performance on a variety of tasks. We conducted a study in which participants used three different types of summaries (enhanced thumbnails, plain thumbnails, and text summaries) to search Web pages to find several different types of information. Participants took an average of 67, 86, and 95 seconds to find the answer with enhanced thumbnails, plain thumbnails, and text summaries, respectively. We found a strong effect of question category. For some questions, text outperformed plain thumbnails, while for other questions, plain thumbnails outperformed text. Enhanced thumbnails (which combine the features of text summaries and plain thumbnails) were more consistent than either text summaries or plain thumbnails, having for all categories the best performance or performance that was statistically indistinguishable from the best.
© All rights reserved Woodruff et al. and/or ACM Press
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