Building economic models of human computer interaction

Azzopardi, Leif and Zuccon, Guido; (2019) Building economic models of human computer interaction. In: CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc, GBR. ISBN 9781450359719 (https://doi.org/10.1145/3290607.3298809)

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Abstract

Economics provides an intuitive and natural way to formally represent the cost and benefits of interacting with applications, interfaces and devices. By using economics models it is possible to reason about interaction and make predictions about how changes to the system will affect performance and behavior. In this course, we provided an overview of relevant economic concepts and then showed how economics can be used to model human computer interaction to generated hypotheses about interaction which can be used to inform design and guide experimentation. As a case study, we demonstrate how various interactions with search and recommender applications can be modeled, before concluding the day with a hands-on modeling session using example and participant problems.

  • Item type:Book Section
    ID code:66466
    Dates:
    Date
    Event
    4 May 2019
    Published
    10 December 2018
    Accepted
    Notes: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(s). CHI’19 Extended Abstracts, May 4–9, 2019, Glasgow, Scotland UK, https://doi.org/10.1145/3290607.3298809
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:07 Jan 2019 11:42
    Last modified:11 Nov 2024 15:16
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/66466
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