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Chris Weikart

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Publications by Chris Weikart (bibliography)

1993

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Karsenty, Solange, Weikart, Chris and Landay, James A. (1993): Inferring Graphical Constraints with Rockit. In: Ashlund, Stacey, Mullet, Kevin, Henderson, Austin, Hollnagel, Erik and White, Ted (eds.) Proceedings of the ACM CHI 93 Human Factors in Computing Systems Conference April 24-29, 1993, Amsterdam, The Netherlands. p. 531.

“Graphical constraints define relations among graphical objects that must be maintained by an underlying system. The automatic maintenance of these relations has become important in increasing the functionality of graphical editors and user interface builders. Yet this increase in functionality has also brought the users of these tools the difficult task of specifying the constraints -- generally by writing mathematical equations that define the relations which must hold. The purpose of Rockit [2] is to identify the possible graphical constraints between objects in a scene and allow the user to quickly and easily choose and apply the desired constraints. Rockit is embedded in a graphical editor that allows the creation of application objects by direct manipulation. The user creates graphical objects and applies constraints to them. Typical objects include diagrams, circuits, flowcharts, and also standard application widgets. The supported constraints include connectors, aligners, and spacers. In this videotape, we illustrate our system through the construction of a slider.”

1992

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Karsenty, Solange, Landay, James A. and Weikart, Chris (1992): Inferring Graphical Constraints with Rockit. In: Monk, Andrew, Diaper, Dan and Harrison, Michael D. (eds.) Proceedings of the Seventh Conference of the British Computer Society Human Computer Interaction Specialist Group - People and Computers VII August 15-18, 1992, University of York, UK. pp. 137-153.

“Rockit is a system that identifies the possible graphical constraints between objects in a two-dimensional scene and allows the user to choose and apply the desired constraints quickly and easily. Rockit looks for intersections between the position of a designated object and the gravity fields of other objects to determine the possible constraints. These candidate constraints are passed to a rule system that encodes some simple knowledge about how graphical objects normally interact and can thus be constrained to one another. The rules are used to determine the most likely constraints to be applied between the designated object and the other objects in the scene. As the user manipulates the object, the object will gravitate towards the most likely constraint scenario. The inferred constraints are indicated by the creation of graphical and sonic feedback objects. Rockit makes it easy to try other likely scenarios by simply pressing a key, causing the system to cycle through the other possibilities.”

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