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Deep learning for human-computer interaction

Published:23 December 2020Publication History
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References

  1. International Standardization Organization (ISO). ISO 9241-210:2010 - Ergonomics of human-system interaction -- Part 210: Human-centred design for interactive systems. 2010.Google ScholarGoogle Scholar
  2. LeCun, Y., Bengio, Y., and Hinton, G. Deep learning. Nature 521, 7553 (2015), 436--444 Google ScholarGoogle ScholarCross RefCross Ref
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  4. Le, H.V., Mayer, S., Weiß, M., Vogelsang, J., Weingärtner, H., and Henze, N. Shortcut gestures for mobile text editing on fully touch sensitive smartphones. ACM Trans. Comput.-Hum. Interact. 27, 5, (Aug. 2020), Article 33 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Nancel, M., Aranovskiy, S., Ushirobira, R., Efimov, D., Poulmane, S., Roussel, N., and Casiez, G. Next-point prediction for direct touch using finite-time derivative estimation. Proc. of the 31st Annual ACM Symposium on User Interface Software and Technology. ACM, New York, 2018, 793--807. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Kostakos, V. and Musolesi, M. Avoiding pitfalls when using machine learning in HCI studies. Interactions 24, 4 (Jul.--Aug. 2017), 34--37 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Deep learning for human-computer interaction

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      • Published in

        cover image Interactions
        Interactions  Volume 28, Issue 1
        January - February 2021
        89 pages
        ISSN:1072-5520
        EISSN:1558-3449
        DOI:10.1145/3446082
        • Editors:
        • Mikael Wiberg,
        • Alex Taylor,
        • Daniela Rosner
        Issue’s Table of Contents

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 December 2020

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