7 Search Results for "Tanaka-Ishii, Kumiko"


Document
05382 Abstracts Collection – Efficient Text Entry

Authors: Karin Harbusch, Kari-Jouko Raiha, and Kumiko Tanaka-Ishii

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
From 21.09.05 to 24.09.05, the Dagstuhl Seminar 05382 ``Efficient Text Entry'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Karin Harbusch, Kari-Jouko Raiha, and Kumiko Tanaka-Ishii. 05382 Abstracts Collection – Efficient Text Entry. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{harbusch_et_al:DagSemProc.05382.1,
  author =	{Harbusch, Karin and Raiha, Kari-Jouko and Tanaka-Ishii, Kumiko},
  title =	{{05382 Abstracts Collection – Efficient Text Entry}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.1},
  URN =		{urn:nbn:de:0030-drops-5589},
  doi =		{10.4230/DagSemProc.05382.1},
  annote =	{Keywords: Ambigous keyboard, keystroke saving}
}
Document
05382 Executive Summary – Efficient Text Entry

Authors: Karin Harbusch, Kari-Jouko Raiha, and Kumiko Tanaka-Ishii

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
This files consists of three parts: - it first summarises the basic idea of the workshop, - then the topic of the individual talks are delineated and - finally the discussions are summarized.

Cite as

Karin Harbusch, Kari-Jouko Raiha, and Kumiko Tanaka-Ishii. 05382 Executive Summary – Efficient Text Entry. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{harbusch_et_al:DagSemProc.05382.2,
  author =	{Harbusch, Karin and Raiha, Kari-Jouko and Tanaka-Ishii, Kumiko},
  title =	{{05382 Executive Summary – Efficient Text Entry}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.2},
  URN =		{urn:nbn:de:0030-drops-5330},
  doi =		{10.4230/DagSemProc.05382.2},
  annote =	{Keywords: Ambiguous keyboard, keystroke saving}
}
Document
Attention Demands in Text Entry Interfaces

Authors: I. Scott MacKenzie

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
The rationale for a model of text input that includes perceptual and cognitives processes is given. Reducing keystrokes is fine, but if the design imposes an increased perceptual and/or cognitive load on the user (e.g., shifting attention points or perusing a list of candidate words in a word completion system), then a newinterface may not be as efficient as first thought. This argument as well as others underscoring the need to more thoroughly acknowledge and quantifiy attention demans in text entry interface are developed.

Cite as

I. Scott MacKenzie. Attention Demands in Text Entry Interfaces. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{mackenzie:DagSemProc.05382.3,
  author =	{MacKenzie, I. Scott},
  title =	{{Attention Demands in Text Entry Interfaces}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.3},
  URN =		{urn:nbn:de:0030-drops-5180},
  doi =		{10.4230/DagSemProc.05382.3},
  annote =	{Keywords: Attention, perceptual and cognitive processes, model human processor}
}
Document
Human-centered compression for efficient text input

Authors: Rani Nelken and Stuart M. Shieber

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
Traditional methods for efficient text entry are based on prediction. Prediction requires a constant context-shift between entering text and selecting or verifying the predictions. Previous research has shown that the advantages offered by prediction are usually eliminated by the cognitive load associated with such context-switching. We present a novel approach that relies on compression. Users are required to compress text using a very simple abbreviation technique that yields an average keystrok reduction of 26.4%. Input text is automatically decoded using weighted finite-state transducers, incorporating both word-based and letter-based n-gram language models. Decoding yields a residual error rate of 3.3%. User experiments show that this approach yields improved text input speeds.

Cite as

Rani Nelken and Stuart M. Shieber. Human-centered compression for efficient text input. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{nelken_et_al:DagSemProc.05382.4,
  author =	{Nelken, Rani and Shieber, Stuart M.},
  title =	{{Human-centered compression for efficient text input}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.4},
  URN =		{urn:nbn:de:0030-drops-5176},
  doi =		{10.4230/DagSemProc.05382.4},
  annote =	{Keywords: Prediction, compression, weigthed finite state transducers, text input}
}
Document
On the application of text input metrics to handwritten text input

Authors: Janet C. Read

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
This paper describes the current metrics used in text input research, considering those used for discrete text input as well as those used for spoken input. It examines how these metrics might be used for handwritten text input and provides some thoughts about different metrics that might allow for a more fine grained evaluation of recognition improvement or input accuracy.

Cite as

Janet C. Read. On the application of text input metrics to handwritten text input. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{read:DagSemProc.05382.5,
  author =	{Read, Janet C.},
  title =	{{On the application of text input metrics to handwritten text input}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--9},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.5},
  URN =		{urn:nbn:de:0030-drops-5144},
  doi =		{10.4230/DagSemProc.05382.5},
  annote =	{Keywords: Handwriting Recognition, Text Input, Metrics}
}
Document
Text Entry in Augmentative and Alternative Communication

Authors: John L. Arnott

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
A concise outline of background is given on assistive methods for writing and communicating for non-speaking people, highlighting the role of efficient text entry in augmentative and alternative communication (AAC). AAC systems are designed to assist people with communication impairments to interact with others and to compose messages and other documents. Efficient text entry is therefore of great importance in AAC, in order to make it as easy as possible for text users to enter text into AAC systems. Continuing research and development is needed in the area of text entry to improve the efficacy and efficiency of AAC systems.

Cite as

John L. Arnott. Text Entry in Augmentative and Alternative Communication. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{arnott:DagSemProc.05382.6,
  author =	{Arnott, John L.},
  title =	{{Text Entry in Augmentative and Alternative Communication}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.6},
  URN =		{urn:nbn:de:0030-drops-5193},
  doi =		{10.4230/DagSemProc.05382.6},
  annote =	{Keywords: Augmentative \& alternative Communication, text input, non-speaking, prediction, disambiguation}
}
Document
The language component of the FASTY predictive typing system

Authors: Johannes Matiasek

Published in: Dagstuhl Seminar Proceedings, Volume 5382, Efficient Text Entry (2006)


Abstract
I describe the language component of FASTY, a text prediction system designed to improve text input efficiency for disabled users. The FASTY language component is based on state-of-the-art n-gram-based word-level and Part-of-Speech-level prediction and on a number of innovative modules (morphological analysis, collocation-based prediction, compound prediction) that are meant to enhance performance in languages other than English. Together with its modular architecture these novel techniques make it adaptable to a wide range of languages without sacrificing performance. Currently, versions for Dutch, German, French, Italian, and Swedish are supported. Going beyond the FASTY system, it will also be shown that the language component can be easily extended for the use with reduced keyboards, just by defining key-mapping tables, without needing to change the dictionary or the language model.

Cite as

Johannes Matiasek. The language component of the FASTY predictive typing system. In Efficient Text Entry. Dagstuhl Seminar Proceedings, Volume 5382, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{matiasek:DagSemProc.05382.7,
  author =	{Matiasek, Johannes},
  title =	{{The language component of the FASTY predictive typing system}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05382.7},
  URN =		{urn:nbn:de:0030-drops-5165},
  doi =		{10.4230/DagSemProc.05382.7},
  annote =	{Keywords: AAC, Predictive Typing}
}
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