Computational Interaction: Theory and Practice

John Williamson; Antti Oulasvirta; Otmar Hilliges; Per Ola Kristensson

doi:10.1145/3170427.3170654

Computational Interaction: Theory and Practice

John Williamson, Antti Oulasvirta, Otmar Hilliges, Per Ola Kristensson

Research output: Contribution to conference › Abstract › Scientific › peer-review

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

Original language	English
Number of pages	4
DOIs	https://doi.org/10.1145/3170427.3170654
Publication status	Published - Apr 2018
MoE publication type	Not Eligible
Event	ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 Conference number: 36 https://chi2018.acm.org/ https://chi2018.acm.org

Conference

Conference	ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated title	ACM CHI
Country/Territory	Canada
City	Montreal
Period	21/04/2018 → 26/04/2018
Internet address	https://chi2018.acm.org/ https://chi2018.acm.org

Keywords

computational
optimization
Inference
machine learning

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10.1145/3170427.3170654

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@conference{fb4c6fd9b60d4f9e8286a07c209954aa,

title = "Computational Interaction: Theory and Practice",

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",

keywords = "computational, optimization, Inference, machine learning",

author = "John Williamson and Antti Oulasvirta and Otmar Hilliges and Kristensson, \{Per Ola\}",

year = "2018",

month = apr,

doi = "10.1145/3170427.3170654",

language = "English",

note = "ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI ; Conference date: 21-04-2018 Through 26-04-2018",

url = "https://chi2018.acm.org/, https://chi2018.acm.org",

}

TY - CONF

T1 - Computational Interaction: Theory and Practice

AU - Williamson, John

AU - Oulasvirta, Antti

AU - Hilliges, Otmar

AU - Kristensson, Per Ola

N1 - Conference code: 36

PY - 2018/4

Y1 - 2018/4

N2 - 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

AB - 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

KW - computational

KW - optimization

KW - Inference

KW - machine learning

UR - https://www.scopus.com/pages/publications/85052012270

U2 - 10.1145/3170427.3170654

DO - 10.1145/3170427.3170654

M3 - Abstract

T2 - ACM SIGCHI Annual Conference on Human Factors in Computing Systems

Y2 - 21 April 2018 through 26 April 2018

ER -

Computational Interaction: Theory and Practice

Abstract

Conference

Keywords

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