Publication statistics

Pub. period:2004-2011
Pub. count:5
Number of co-authors:19


Number of publications with 3 favourite co-authors:

Henry A. Kautz:
Dieter Fox:
Shiaokai Wang:



Productive colleagues

Krzysztof Gajos's 3 most productive colleagues in number of publications:

Andrew Sears:90
Daniel S. Weld:29
Shari Trewin:28

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Krzysztof Gajos

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Current place of employment:
University of Washington

Krzysztof Gajos is a graduate student at University of Washington in Seattle. His interests span areas of HCI, machine learning and ubiquitous computing. Currently he is working on a number of projects mostly in the area of personalizable user interfaces.


Publications by Krzysztof Gajos (bibliography)

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Hurst, Amy, Gajos, Krzysztof, Findlater, Leah, Wobbrock, Jacob, Sears, Andrew and Trewin, Shari (2011): Dynamic accessibility: accommodating differences in ability and situation. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 41-44.

Human abilities and situations are idiosyncratic and may change frequently. Static one-size-fits-many accessibility solutions miss the opportunities that arise from careful consideration of an individual's abilities and fail to address the sometimes dynamic aspect of those abilities, such as when a user's activity or context causes a "situational impairment." The goal of this workshop is to bring together researchers and practitioners in accessibility, mobile HCI, and interactive intelligent systems who are pursuing agile, data-driven approaches that enable interactive systems to adapt or become adapted to the needs and abilities of a particular individual in a particular context.

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

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Gajos, Krzysztof and Weld, Daniel S. (2005): Preference elicitation for interface optimization. In: Proceedings of the 2005 ACM Symposium on User Interface Software and Technology 2005. pp. 173-182.

Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck -- in most cases the numerous parameters of these functions are chosen manually, which is a tedious and error-prone process. This paper describes ARNAULD, a general interactive tool for eliciting user preferences concerning concrete outcomes and using this feedback to automatically learn a factored cost function. We empirically evaluate our machine learning algorithm and two automatic query generation approaches and report on an informal user study.

© All rights reserved Gajos and Weld and/or ACM Press

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Gajos, Krzysztof, Christianson, David B., Hoffmann, Raphael, Shaked, Tal, Henning, Kiera, Long, Jing Jing and Weld, Daniel S. (2005): Fast and Robust Interface Generation for Ubiquitous Applications. In: Beigl, Michael, Intille, Stephen S., Rekimoto, Jun and Tokuda, Hideyuki (eds.) UbiComp 2005 Ubiquitous Computing - 7th International Conference September 11-14, 2005, Tokyo, Japan. pp. 37-55.

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Gajos, Krzysztof and Weld, Daniel S. (2004): SUPPLE: automatically generating user interfaces. In: Nunes, Nuno Jardim and Rich, Charles (eds.) International Conference on Intelligent User Interfaces 2004 January 13-16, 2004, Funchal, Madeira, Portugal. pp. 93-100.

In order to give people ubiquitous access to software applications, device controllers, and Internet services, it will be necessary to automatically adapt user interfaces to the computational devices at hand (eg, cell phones, PDAs, touch panels, etc.). While previous researchers have proposed solutions to this problem, each has limitations. This paper proposes a novel solution based on treating interface adaptation as an optimization problem. When asked to render an interface on a specific device, our supple system searches for the rendition that meets the device's constraints and minimizes the estimated effort for the user's expected interface actions. We make several contributions: 1) precisely defining the interface rendition problem, 2) demonstrating how user traces can be used to customize interface rendering to particular user's usage pattern, 3) presenting an efficient interface rendering algorithm, 4) performing experiments that demonstrate the utility of our approach.

© All rights reserved Gajos and Weld and/or ACM Press

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Patterson, Donald J., Liao, Lin, Gajos, Krzysztof, Collier, Michael, Livic, Nik, Olson, Katherine, Wang, Shiaokai, Fox, Dieter and Kautz, Henry A. (2004): Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services. In: Davies, Nigel, Mynatt, Elizabeth D. and Siio, Itiro (eds.) UbiComp 2004 Ubiquitous Computing 6th International Conference September 7-10, 2004, Nottingham, UK. pp. 433-450.

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