Biological HCI: Towards Integrative Interfaces Between People, Computer, and Biological Materials

Biological HCI (Bio-HCI) framework is a design framework that investigate the relationship between human, computer and biological systems by redefining biological materials as design elements. Bio-HCI focuses on three major components: biological materials, intermediate platforms, and interactions with the user. This framework is created through collaboration between biotechnologists, HCI researchers, and speculative design researchers. To examine this framework further, we present four experiments which focus on different aspects of the Bio-HCI framework. The goal of this paper is to 1) layout the framework for Bio-HCI 2) explore the applications of biological - digital interfaces 3) analyze existing technologies and identify opportunities for future research.

[1]  Scott E. Hudson,et al.  DIYbio Things: Open Source Biology Tools as Platforms for Hybrid Knowledge Production and Scientific Participation , 2015, CHI.

[2]  E. Lander,et al.  Development and Applications of CRISPR-Cas9 for Genome Engineering , 2014, Cell.

[3]  Steven Y. Ko,et al.  Applications and Challenges of Real-time Mobile DNA Analysis , 2017, HotMobile.

[4]  Andrew D Ellington,et al.  Synthetic DNA Synthesis and Assembly: Putting the Synthetic in Synthetic Biology. , 2017, Cold Spring Harbor perspectives in biology.

[5]  F. Fanglian He,et al.  Plasmid DNA Extraction from E. coli Using Alkaline Lysis Method , 2011 .

[6]  Paulo Blikstein,et al.  Interactive Cloud Experimentation for Biology: An Online Education Case Study , 2015, CHI.

[7]  Orit Shaer,et al.  BacPack: Exploring the Role of Tangibles in a Museum Exhibit for Bio-Design , 2017, TEI.

[8]  Hiroshi Ishii,et al.  bioLogic: Natto Cells as Nanoactuators for Shape Changing Interfaces , 2015, CHI.

[9]  Paulo Blikstein,et al.  Trap it!: A Playful Human-Biology Interaction for a Museum Installation , 2015, CHI.

[10]  Hayes Raffle,et al.  Opportunities for actuated tangible interfaces to improve protein study , 2009, CHI Extended Abstracts.

[11]  Pat Pataranutaporn,et al.  Hormone couture: biopolitics, aesthetics, and technology , 2017, SEMWEB.

[12]  Audrey Ng,et al.  Grown microbial 3D fiber art, Ava: fusion of traditional art with technology , 2017, SEMWEB.

[13]  Yaniv Erlich,et al.  DNA Fountain enables a robust and efficient storage architecture , 2016, Science.

[14]  Georg Seelig,et al.  Computing in mammalian cells with nucleic acid strand exchange , 2015, Nature nanotechnology.

[15]  Orit Shaer,et al.  SynFlo: A Tangible Museum Exhibit for Exploring Bio-Design , 2016, TEI.

[16]  Jian Ma,et al.  A Rewritable, Random-Access DNA-Based Storage System , 2015, Scientific Reports.

[17]  James C. Weaver,et al.  Grown, Printed, and Biologically Augmented: An Additively Manufactured Microfluidic Wearable, Functionally Templated for Synthetic Microbes , 2016 .

[18]  Ingmar H. Riedel-Kruse,et al.  Interactive Biotechnology: Building your own Biotic Game Setup to Play with Living Microorganisms , 2016, CHI Extended Abstracts.

[19]  A. Woolley,et al.  Ultra-high-speed DNA sequencing using capillary electrophoresis chips. , 1995, Analytical chemistry.

[20]  Lloyd M. Smith,et al.  DNA computing on surfaces , 2000, Nature.

[21]  Ali Mazalek,et al.  Active Pathways: Using Active Tangibles and Interactive Tabletops for Collaborative Modeling in Systems Biology , 2016, ISS.

[22]  OxmanNeri,et al.  Grown, Printed, and Biologically Augmented: An Additively Manufactured Microfluidic Wearable, Functionally Templated for Synthetic Microbes , 2016 .