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PianoText: transferring musical expertise to text entry

Published: 27 April 2013 Publication History

Abstract

We present PianoText, a text entry method based on a piano keyboard with an optimized mapping between notes and chords of music to letters of the English language. PianoText exemplifies the idea of transferring musical expertise to a text entry task by computationally searching for mappings between frequent motor patterns while considering their n-gram frequency distributions and respecting constraints affecting the playability of music. In the Interactivity session, audience members with piano skills can transcribe text with PianoText, and a trained pianist will show that it allows him to generate text at speeds close to that of professional QWERTY-typists.

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References

[1]
M. Adler. Antique Typewriters, from Creed to QWERTY. Schier Pub., 1997.
[2]
B. Bowers. Electrical engineering 100 years ago. British Journal of Audiology, 13(S2):1--4, 1979.
[3]
D. Gentner. Expertise in typewriting. Technical report, DTIC Document, 1984.
[4]
L. Light and P. Anderson. Typewriter keyboards via simulated annealing. AI Expert, 1993.
[5]
I. MacKenzie and S. Zhang. The design and evaluation of a high-performance soft keyboard. In Proc. of the SIGCHI conference on Human factors in computing systems, pages 25--31. ACM, 1999.

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    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. computational keyboard design
    2. text entry
    3. the piano keyboard
    4. transfer of expertise

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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