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Device independent text input: a rationale and an example
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Proceedings of the working conference on Advanced visual interfaces table of contents
Palermo, Italy
Pages: 76 - 83  
Year of Publication: 2000
ISBN:1-58113-252-2
Authors
Poika Isokoski  Department of Computer Science, University of Tampere, P.O. Box 607 (Pinninkatu 53B), FIN-33101 Tampere, Finland
Roope Raisamo  Department of Computer Science, University of Tampere, P.O. Box 607 (Pinninkatu 53B), FIN-33101 Tampere, Finland
Sponsors
University of L'Aquila : University of L'Aquila
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 38,   Citation Count: 21
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ABSTRACT

Individual characters and text are the main inputs in many computing devices. Currently there is a growing trend in developing small portable devices like mobile phones, personal digital assistants, GPS-navigators, and two-way pagers. Unfortunately these portable computing devices have different user interfaces and therefore the task of text input takes many forms. The user, who in the future is likely to have several of these devices, has to learn several text input methods. We argue that there is a need for a universal text input method. A method like this would work on a wide range of interface technologies and allow the user to transfer his or her writing skill without device-specific training. To show that device independent text input is possible, we present a candidate for a device independent text entry method that supports skill transfer between different devices. A limited longitudinal study was conducted to achieve a proof of concept evaluation of our Minimal Device Independent Text Input Method (MDITIM). We found MDITIM writing skill acquired with a touchpad to work almost equally well on mouse, trackball, joystick and keyboard without any additional training. Our test group reached on average 41% of their handwriting speed by the end of the tenth 30-minute training session.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  21

Collaborative Colleagues:
Poika Isokoski: colleagues
Roope Raisamo: colleagues