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10.1145/3170427.3170654acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
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Computational Interaction: Theory and Practice

Published: 20 April 2018 Publication History

Abstract

This course introduces computational methods in human--computer interaction. Computational interaction methods use computational thinking -- abstraction, automation, and analysis -- to explain and enhance interaction. This course introduces optimization and probabilistic inference as principled methods. Lectures center on hands-on Python programming, interleaving theory and practical examples.

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  1. Computational Interaction: Theory and Practice

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    Published In

    cover image ACM Conferences
    CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    3155 pages
    ISBN:9781450356213
    DOI:10.1145/3170427
    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2018

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    Author Tags

    1. computational interaction
    2. inference
    3. machine learning
    4. optimization

    Qualifiers

    • Course

    Funding Sources

    • European Research Council

    Conference

    CHI '18
    Sponsor:

    Acceptance Rates

    CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

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