Dasher—a data entry interface using continuous gestures and language models

By David J. Ward, Alan F. Blackwell, David John Cameron MacKay. ACM Symposium on User Interface Software and Technology, 2000

379 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e07d1711f14d11d99f4826c364bc6ca6e35fcff0

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Human-Computer Interaction

Citations in the corpus

Text Entry for Mobile Computing: Models and Methods,Theory and Practice (2002, methodology): “Ward, Blackwell, and MacKay (2000) used this technique; however, they noted that participants found the approach stressful and hard to follow.”
Information Theory, Inference, and Learning Algorithms (2004, methodology): “By inverting an arithmetic coder, we can obtain an information-efficient text entry device that is driven by continuous pointing gestures (Ward et al., 2000).”
An evaluation of Dasher with a high-performance language model as a gaze communication method (2014, methodology): “One promising alternative gaze-based text entry method is Dasher [18].”
Generating Text with Recurrent Neural Networks (2011, background): “This is an important problem because a better character-level language model could improve compression of text files (Rissanen & Langdon, 1979) and make it easier for people with physical disabilities to interact with computers (Ward et al., 2000).”
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric (2003, background): “So how is this scenario best simulated in an experiment? The presented text can be read aloud to the participants, but this approach is problematic [8].”
Shorthand writing on stylus keyboard (2003, background): “Dasher, by Ward, Blackwell and MacKay [ 23 ], is another approach of continuous gesture input.”
Vision based hand gesture recognition for human computer interaction: a survey (2012, background): “Similar gestures are commonly used for tablet computers in specialized applications for air traffic control rooms (Chatty and Lecoanet 1996), adaptive technology (Ward et al. 2000) and musical score editing (Forsberg et al.”