Practicing DIYbiology in an HCI setting

Piyum Fernando, Matthew Pandelakis, Anastasia Kuznetsov

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

5 Scopus citations

Abstract

Alongside an expanding community of non-professional biologists, DIYbio is beginning to emerge as a fledgling subdomain of HCI. However, this emerging subdomain is yet to be in the focal point of a long-term investigation to identify the challenges and opportunities of designing interactive systems and tools to facilitate biological practices outside of professional setups. As the first step towards this direction, we carried out an autoethnographic study to practice DIYbiology, by setting up a functional DIYbio space inside our HCI design studio. In this paper we reflect on our autobiographical experiences in practicing DIYbiology inside our lab space and discuss the challenges and opportunities for further HCI research in this particular subdomain.

Original languageEnglish (US)
Title of host publicationCHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages2064-2071
Number of pages8
Volume07-12-May-2016
ISBN (Electronic)9781450340823
DOIs
StatePublished - May 7 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period5/7/165/12/16

Keywords

  • Citizen science
  • Diy, autoethnography
  • DIYbio

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Fernando, P., Pandelakis, M., & Kuznetsov, A. (2016). Practicing DIYbiology in an HCI setting. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (Vol. 07-12-May-2016, pp. 2064-2071). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892325