Number of co-authors:8
Number of publications with 3 favourite co-authors:Maureen C. Stone:3Eric A. Bier:2Beverly L. Harrison:1
Ken Fishkin's 3 most productive colleagues in number of publications:Bill Buxton:78Roy Want:41Beverly L. Harriso..:22
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Publications by Ken Fishkin (bibliography)
Moore, Darnell J., Want, Roy, Harrison, Beverly L., Gujar, Anuj and Fishkin, Ken (1999): Implementing Phicons: Combining Computer Vision with Infrared Technology for Interactive Physical Icons. In: Zanden, Brad Vander and Marks, Joe (eds.) Proceedings of the 12th annual ACM symposium on User interface software and technology November 07 - 10, 1999, Asheville, North Carolina, United States. pp. 67-68.
This paper describes a novel physical icon  ("phicon") based system that can be programmed to issue a range of commands about what the user wishes to do with handdrawn whiteboard content. Through the phicon's UI, a command to process whiteboard context is issued using infrared signaling in combination with image processing and a ceiling-mounted camera system. We leverage camera systems that are already used for capturing whiteboard content  by further augmenting these systems to detect the presence and location of IR beacons within an image. An HDLC-based protocol and a built-in IR transmitter are used to send these signals.
© All rights reserved Moore et al. and/or ACM Press
Fishkin, Ken and Stone, Maureen C. (1995): Enhanced Dynamic Queries via Movable Filters. In: Katz, Irvin R., Mack, Robert L., Marks, Linn, Rosson, Mary Beth and Nielsen, Jakob (eds.) Proceedings of the ACM CHI 95 Human Factors in Computing Systems Conference May 7-11, 1995, Denver, Colorado. pp. 415-420.
Traditional database query systems allow users to construct complicated database queries from specialized database language primitives. While powerful and expressive, such systems are not easy to use, especially for browsing or exploring the data. Information visualization systems address this problem by providing graphical presentations of the data and direct manipulation tools for exploring the data. Recent work has reported the value of dynamic queries coupled with two-dimensional data representations for progressive refinement of user queries. However, the queries generated by these systems are limited to conjunctions of global ranges of parameter values. In this paper, we extend dynamic queries by encoding each operand of the query as a Magic Lens filter. Compound queries can be constructed by overlapping the lenses. Each lens includes a slider and a set of buttons to control the value of the filter function and to define the composition operation generated by overlapping the lenses. We demonstrate a system that supports multiple, simultaneous, general, real-valued queries on databases with incomplete data, while maintaining the simple visual interface of dynamic query systems.
© All rights reserved Fishkin and Stone and/or ACM Press
Stone, Maureen C., Fishkin, Ken and Bier, Eric A. (1994): The Movable Filter as a User Interface Tool. In: Adelson, Beth, Dumais, Susan and Olson, Judith S. (eds.) Proceedings of the ACM CHI 94 Human Factors in Computing Systems Conference April 24-28, 1994, Boston, Massachusetts. pp. 306-312.
Magic Lens filters are a new user interface tool that combine an arbitrarily-shaped region with an operator that changes the view of objects viewed through that region. These tools can be interactively positioned over on-screen applications much as a magnifying glass is moved over a newspaper. They can be used to help the user understand various types of information, from text documents to scientific visualizations. Because these filters are movable and apply to only part of the screen, they have a number of advantages over traditional window-wide viewing modes: they employ an attractive metaphor based on physical lenses, show a modified view in the context of the original view, limit clutter to a small region, allow easy construction of visual macros and provide a uniform paradigm that can be extended across different types of information and applications. This paper describes these advantages in more detail and illustrates them with examples of magic lens filters in use over a variety of applications.
© All rights reserved Stone et al. and/or ACM Press
Bier, Eric A., Stone, Maureen C., Fishkin, Ken, Buxton, Bill and Baudel, Thomas (1994): A Taxonomy of See-Through Tools. In: Adelson, Beth, Dumais, Susan and Olson, Judith S. (eds.) Proceedings of the ACM CHI 94 Human Factors in Computing Systems Conference April 24-28, 1994, Boston, Massachusetts. pp. 358-364.
In current interfaces, users select objects, apply operations, and change viewing parameters in distinct steps that require switching attention among several screen areas. Our See-Through Interface software reduces steps by locating tools on a transparent sheet that can be moved over applications with one hand using a blackball, while the other hand controls a mouse cursor. The user clicks through a tool onto application objects, simultaneously selecting an operation and an operand. Tools may include graphical filters that display a customized view of application objects. Compared to traditional interactors, these tools save steps, require no permanent screen space, reduce temporal modes, apply to multiple applications, and facilitate customization. This paper presents a taxonomy of see-through tools that considers variations in each of the steps they perform. As examples, we describe particular see-through tools that perform graphical editing and text editing operations.
© All rights reserved Bier et al. and/or ACM Press
Fishkin, Ken (1992): Performing in--place affine transformations in constant space. In: Graphics Interface 92 May 11-15, 1992, Vancouver, British Columbia, Canada. pp. 106-114.
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