TOPIC: Embodied Fabrication
Instructors:
Dr Joëlle Bitton
Verena Ziegler
Guest Instructor:
Roman Jurt
Teaching Assistant:
Martin Dusek
Additional support: Joël Gähwiler and Luke Franzke (weeks 4 and 5)
Office hours by appointment
The course runs from 18.09.18 - 18.10.18, from 9.00 - 17.00. See timetable below for more detailed hours and classrooms.
The course proposes an examination and speculation of technologies as they related to Embodied Interaction (ie. mobile computing, wearable interfaces, location-based interactions and digital fabrication...).
This examination covers societal, ethical and social influences.
This year, the course puts an emphasis on 'Embodied Fabrication', where digital fabrication is approached from the perspective of embodiment.
With more flexible and more accessible modes of fabrication, and with social aspects of fabrication emerging in recent years, we have the opportunity to investigate ways that we can transform our physical selves and environments.
During this module, we'll uncover some of these possibilities by designing and informing body orthotics with personal data. By group or individual work, you'll propose such form of body extension.
Design factors may include:
• material intimacy
• processes of fabrication / physical interactions that impact digital fabrication
• wearability
• performative aspects
Your work will encounter some of these research questions:
Grades will be based on group presentations and exercises, class participation, documentation (journal) and final work.
Contributing to constructive group feedback is an essential aspect of class participation.
Regular attendance is required. Two or more unexcused absences will affect the final grade. Arriving late on more than one occasion will also affect the grade.
Final work 50%
Group exercises/presentations 20%
Journal Documentation 20%
Class participation 10%
Any assignment that remains unfulfilled receives a failing grade.
Kickoff Exercise: Analogue Data Collection
Look for sources of your personal body data in the real world. What traces do we leave behind that give us indications about our movements, vital signs or emotions?
Be aware of the data you're collecting without intention. Or are you currently collecting data intentionally?
Record videos or take photos to indicate and attempt to extract the data or reflect on it.
Represent that data in a performative way.Presentation/performance: max 5 minutes
Individual work
Use Data-Collection, Generative Design Methods and Digital Fabrication to create a Data Driven Wearable (fashion item, prosthesis, orthesis, prosthetics, implant, etc).
Questions to consider in your process:
Presentation Format: Exhibition of Experiments, Performance with Final Prototypes together with an oral presentation.
Presentation on: 18.10.2018
Documentation Format: PDF, video, and pictures per usual guidelines on IAD server
In groups of two or three students (or individual work per special request)
A 'Journal' is developed by each student that reflects on learnings from the course. It should be in the form of an online blog (ie. WordPress, Tumblr or other):
Tools available: 3D printer (Ultimaker, Delta, Cetus, Single-line), laser cutter, foam cutter, wire bender, photogrammetry....
Rhino and Grasshopper basics workshop on 21st of September
Shiftr.io Pocket
Kinect & Skanect
Skanect to Rhino
Rhino to Grasshopper
Group 1 – Michael, Adrienn, Manuel
Group 4 – Stephanie, Simon, Aurelian
Embodied Interaction: Exploring the Foundations of a New Approach to HCI
Creating physical visualizations with makervis
Supporting the design and fabrication of physical visualizations
https://issuu.com/pabloherrera/docs/algorithmicmodelling
Visualisation
Technorama Building (analog wind visualization)
Experimental study of apparent behavior
Parametric design and Digital Fabrication for Inflatables
Fashion context
https://www.pinterest.nz/pin/336573772141747181/
http://behnazfarahi.com/bodyscape/
https://www.pinterest.nz/pin/564779609510964664/
https://www.pinterest.nz/pin/563794447076862696/
http://www.iaacblog.com/programs/miura-ori-skin/
https://www.pinterest.nz/pin/288511919858286303/
Related tutorials
Rhino
Grashopper
Arduino wireless sensor kit
Exercises
1. http://www.deprocess.org/tutorials/grasshopper-data-trees/
2.
3. https://issuu.com/pabloherrera/docs/algorithmicmodelling (Chapter 4 - Tranformation)
4.
5.
6a.
6b.
Examples Scan Data / Rhino
Example populating mesh / Grasshopper
Example using shiftr-io / Grasshopper
https://intern.zhdk.ch/?materialbezug
https://intern.zhdk.ch/?wslnews