Michael Shilman
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Publications by Michael Shilman (bibliography)
» 2007 «
Hinckley, Ken, Zhao, Shengdong, Sarin, Raman, Baudisch, Patrick, Cutrell, Edward, Shilman, Michael and Tan, Desney S. (2007): InkSeine: In Situ search for active note taking. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 251-260. Available online
“Using a notebook to sketch designs, reflect on a topic, or capture and extend creative ideas are examples of active note taking tasks. Optimal experience for such tasks demands concentration without interruption. Yet active note taking may also require reference documents or emails from team members. InkSeine is a Tablet PC application that supports active note taking by coupling a pen-and-ink interface with an in situ search facility that flows directly from a user's ink notes (Fig. 1). InkSeine integrates four key concepts: it leverages preexisting ink to initiate a search; it provides tight coupling of search queries with application content; it persists search queries as first class objects that can be commingled with ink notes; and it enables a quick and flexible workflow where the user may freely interleave inking, searching, and gathering content. InkSeine offers these capabilities in an interface that is tailored to the unique demands of pen input, and that maintains the primacy of inking above all other tasks.”
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Davis, Richard C., Saponas, T. Scott, Shilman, Michael and Landay, James A. (2007): SketchWizard: Wizard of Oz prototyping of pen-based user interfaces. In: Proceedings of the ACM Symposium on User Interface Software and Technology October 7-10, 2007, Newport, Rhode Island, USA. pp. 119-128. Available online
“SketchWizard allows designers to create Wizard of Oz prototypes of pen-based user interfaces in the early stages of design. In the past, designers have been inhibited from participating in the design of pen-based interfaces because of the inadequacy of paper prototypes and the difficulty of developing functional prototypes. In SketchWizard, designers and end users share a drawing canvas between two computers, allowing the designer to simulate the behavior of recognition or other technologies. Special editing features are provided to help designers respond quickly to end-user input. This paper describes the SketchWizard system and presents two evaluations of our approach. The first is an early feasibility study in which Wizard of Oz was used to prototype a pen-based user interface. The second is a laboratory study in which designers used SketchWizard to simulate existing pen-based interfaces. Both showed that end users gave valuable feedback in spite of delays between end-user actions and wizard updates.”
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» 2006 «
Shilman, Michael, Tan, Desney S. and Simard, Patrice (2006): CueTIP: a mixed-initiative interface for correcting handwriting errors. In: Proceedings of the ACM Symposium on User Interface Software and Technology 2006. pp. 323-332. Available online
“With advances in pen-based computing devices, handwriting has become an increasingly popular input modality. Researchers have put considerable effort into building intelligent recognition systems that can translate handwriting to text with increasing accuracy. However, handwritten input is inherently ambiguous, and these systems will always make errors. Unfortunately, work on error recovery mechanisms has mainly focused on interface innovations that allow users to manually transform the erroneous recognition result into the intended one. In our work, we propose a mixed-initiative approach to error correction. We describe CueTIP, a novel correction interface that takes advantage of the recognizer to continually evolve its results using the additional information from user corrections. This significantly reduces the number of actions required to reach the intended result. We present a user study showing that CueTIP is more efficient and better preferred for correcting handwriting recognition errors. Grounded in the discussion of CueTIP, we also present design principles that may be applied to mixed-initiative correction interfaces in other domains.”
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» 2004 «
Hse, Heloise, Shilman, Michael and Newton, A. Richard (2004): Robust sketched symbol fragmentation using templates. In: Nunes, Nuno Jardim and Rich, Charles (eds.) International Conference on Intelligent User Interfaces 2004 January 13-16, 2004, Funchal, Madeira, Portugal. pp. 156-160. Available online
“Analysis of sketched digital ink is often aided by the division of stroke points into perceptually-salient fragments based on geometric features. Fragmentation has many applications in intelligent interfaces for digital ink capture and manipulation, as well as higher-level symbolic and structural analyses. It is our intuitive belief that the most robust fragmentations closely match a user's natural perception of the ink, thus leading to more effective recognition and useful user feedback. We present two optimal fragmentation algorithms that fragment common geometries into a basis set of line segments and elliptical arcs. The first algorithm uses an explicit template in which the order and types of bases are specified. The other only requires the number of fragments of each basis type. For the set of symbols under test, both algorithms achieved 100% fragmentation accuracy rate for symbols with line bases, >99% accuracy for symbols with elliptical bases, and >90% accuracy for symbols with mixed line and elliptical bases.”
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Mar 16th, 2010
Changes to this page (author)
16 Feb 2010: Enabled abstracts to be shown on Michael Shilman's author page.12 May 2008: Author was edited 12 May 2008: Author was edited
24 Jul 2007: Author was edited
19 Jun 2007: Author was edited
28 Apr 2003: Added the author to the bibliography
