Skip to main content

Molecular Augmented Reality for Design and Engineering (MADE): Effectiveness of AR Models on Discovery, Learning, and Education

  • Conference paper
  • First Online:
HCI International 2020 – Late Breaking Posters (HCII 2020)

Abstract

The design and manipulation of chemical systems involves understanding the form or morphology of chemical structures. An understand of the form of chemical structure includes an understanding of the components of chemical structure, the functions of the forms and sub-components, and changes in the structure of chemical systems during interaction, maturation, or chemical processes. Viewed from a computer graphic viewpoint these chemical processes can be described and modelled as three-dimensional structures, changing shape, and interacting with other 3D structures. Furthermore, our intuition was that the visualization should be as embodied as possible and open for collaboration.

In this project we seek to create a tool for collaborative, embodied visualization of biomolecules. To achieve this interaction with targeted for hand on visualizations allowing for biomolecular exploration and scientific visualization within immersive augmented reality platforms. We anticipate a tool where components can assist both in (1) biomolecule discovery and design and a subset applicable for (2) education in biomolecules. We conducted some formative research to analyze user value and requirement.

For the prototype we focused on the visualization of DNA binding protein, called Zip Proteins. These proteins are transcription factors. This system is implemented across two devices that support AR capabilities: head mount display (HMD) and the mobile phone. Key development is the porting of these molecules to immersive augmented reality environment for direct interaction.

Describing the advantage of the platform for this application at the broadest level, we can say that augmented reality platforms allow for full embodied interaction with the structures at any scale and contextualized by the physical background. We also discuss future plans for this platform.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Reference

  1. Steve Blank Business Model versus Business Plan. https://steveblank.com/category/business-model-versus-business-plan/. Accessed 04 Mar 2020

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hyejin Hannah Kum-Biocca .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kum-Biocca, H.H., Farinas, E.T., Mistry, N., Wan, Y. (2020). Molecular Augmented Reality for Design and Engineering (MADE): Effectiveness of AR Models on Discovery, Learning, and Education. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60703-6_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60702-9

  • Online ISBN: 978-3-030-60703-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics