Agent based modeling to inform the design of multiuser systems

Yuqing Ren; Robert E. Kraut

doi:10.1007/978-1-4939-0378-8_16

Agent based modeling to inform the design of multiuser systems

Yuqing Ren, Robert E. Kraut

Information and Decision Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Scopus citations

Abstract

Agent Based Modeling studies group activity by simulating the individuals in it and allowing group-level phenomena to emerge. It can be used to integrate theories to inform designs of technology for groups. Researchers use theories as the basis of the rules of how individuals behave (e.g., what motivates users to contribute to an online community). They can run virtual experiments by changing parameters of the model (e.g., the topical focus in an online community) to see what collective behaviors emerge.

Original language	English (US)
Title of host publication	Ways of Knowing in HCI
Publisher	Springer New York
Pages	395-419
Number of pages	25
ISBN (Electronic)	9781493903788
ISBN (Print)	9781493903771
DOIs	https://doi.org/10.1007/978-1-4939-0378-8_16
State	Published - Jan 1 2014

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© Springer Science+Business Media New York 2014.

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Agent based modeling to inform the design of multiuser systems

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