Rainforest: an interactive ecosystem

Peter Beyls, André Perrotta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a self-regulating artificial ecosystem in continuous exposure to human observers. Particles of variable morphology engage in local interaction and give rise to emergent overall audiovisual complexity. People only exercise influence over autonomous behavior developing in the artificial world. A machine-learning algorithm basically aims to maximize audiovisual diversity by tracking changes in systems behavior in relation to behavior in the artificial world. We suggest rewarding human-machine interaction to exist in the elaboration of dynamic relationships between spatial and cognitive human behavior and audiovisual performance in an artificial universe.

Original languageEnglish
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Pages3816-3819
Number of pages4
ISBN (Electronic)9781450340823
DOIs
Publication statusPublished - 7 May 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: 7 May 201612 May 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume07-12-May-2016

Conference

Conference34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
Country/TerritoryUnited States
CitySan Jose
Period7/05/1612/05/16

Keywords

  • Aesthetic human-machine interaction
  • Autonomy
  • Emergence
  • Influence
  • Machine learning
  • Particle systems

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