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Nava Haghighi

selected Work

       1. Self-Interfaces
             . Self-interfaces framework (ongoing)
             . EDA Self-interface (ongoing)
       2. Loa
       3. PUMA DynamicFIT
       4. EDA Trainer 
       5. Atolla
       6. Blo 
       7. Stranj(ers) 
             . Pulpa
             . Bran
             . Horder
             . Nonam
             . Mater
             . Skop
       8. Plant.
       9. Lings
             . Ling-02 (Gooman)
             . Ling-05 (Wi-Ling)
       10. material research and fabrication
             . PCM Explorations
             . Relaxed
             . ClipFlip
             . Takahashi 


EDA Self-Interface

Partly completed as part of the master’s thesis for dual master in Computer Science (HCI) and Integrated Design and Management at MIT
Advisors: Arvind Satyanarayan, Rosalind Picard, James Landay

EDA self-interface is a real-time biofeedback device that connects a wearable EDA sensor to a real-time haptic biofeedback device. This project consists of three parts. First, a formal exploration of what on-body biofeedback devices that aim to extend the senses might look like, published in proceedings of TEI 20. Next, developing an algorithm for detecting a novel EDA characteristic (ongoing). And lastly, a long-term study of real-time biofeedback on the detected characteristic on an Apple watch (ongoing).  

Photo credit: Nikolaj Rohde Simonsen

EDA Self-Interface architecture:

E4 EDA Sensor (left), iOS app (middle), EDA Self-Interface (right).
The E4 EDA sensor sends the participant data to the mobile app in real-time via Bluetooth. The mobile app processes the data and broadcasts select changes in the signal to the EDA Self-Interface via Bluetooth.

Haptic wearable biofeedback device assembly diagram.
(a) assembled unit (b) adhesive structure (c) actuator housing (d) Linear Resonant Actuators (e) silicone casing

EDA Self-Interface Design Typologies