Building economic models of human computer interaction

Leif Azzopardi, Guido Zuccon

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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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.
Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExtended Abstracts
Place of PublicationNew York, NY.
Number of pages4
ISBN (Electronic)9781450359719
DOIs
Publication statusPublished - 4 May 2019
EventCHI 2019: Weaving the Threads of CHI - Glasgow SEC, Glasgow, United Kingdom
Duration: 5 May 20195 May 2019
https://chi2019.acm.org/

Conference

ConferenceCHI 2019
CountryUnited Kingdom
CityGlasgow
Period5/05/195/05/19
Internet address

Keywords

  • human-centered computing
  • user models
  • HCI theory
  • recommendation engines
  • search

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