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 language | English |
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Title of host publication | CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Extended Abstracts |
Place of Publication | New York, NY. |
Number of pages | 4 |
ISBN (Electronic) | 9781450359719 |
DOIs | |
Publication status | Published - 4 May 2019 |
Event | CHI 2019: Weaving the Threads of CHI - Glasgow SEC, Glasgow, United Kingdom Duration: 5 May 2019 → 5 May 2019 https://chi2019.acm.org/ |
Conference
Conference | CHI 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 5/05/19 → 5/05/19 |
Internet address |
Keywords
- human-centered computing
- user models
- HCI theory
- recommendation engines
- search