Droplets of  Sati
  • Embodied Interaction                               Affective Computing                                Interaction Design                                 HCI                               Mediation                              Fine Tuning Model                          





  • Interactive  Meditation  Installation

    Droplets of Sati explores liquid as a shared interface for nonverbal communication through an interactive two-person meditation system. By converting participants’ breathing rhythms into dripping liquid, the work enables gradual synchronization between bodies while generating a soundscape from narrated memories. Each session leaves a physical trace in liquid material, transforming embodied interaction into a permanent record of shared experience.




    Problem
    Shared memories are rarely symmetrical. Even when two people agree on facts, they often carry divergent emotional tempos. Most memory-sharing technologies assume negotiation must occur through narrative, where experiences are explained and aligned through words.


    SolutionParticipants sit across from the liquid interface, wearing respiratory sensors that translate breathing into discrete droplet events. In the initial self-attunement phase, each participant hears only their own droplet rhythm, allowing them to ground attention in personal respiratory tempo through synchronized sound and liquid motion.


    InteractionParticipants enter the experience with a shared memory and participate in a guided meditation while their narrated memories create a soundscape. Synchronization appears as a type of nonverbal negotiation between emotional states through listening to liquid instead of words.







    Liquid as Shared Interface for Memory and Communication
    We explore liquid as a shared interface for memory by manipulating the water surface through datalized bio-signals. This transforms the water surface into a responsive canvas and explores the technical and experiential potential of water as a visual medium.



    Dynamic physical surface by overlapping density cariations across water, oil, alcohol, and ink



    Material Behaviour
    The interaction concludes in shared silence as participants observe the final state of the liquid surface. Diffused ink and oil form an irreversible material trace shaped by the timing, duration, and convergence of their breathing rhythms. This material residue functions as a shared archive of the interaction, enabling reflection on the negotiated experience through synchronized sensation rather than verbal recollection.









    The patterns contrast two individual participants’ emotional states. The left pattern shows an irregular breathing rate, with varied droplet sizes and tightly grouped scatter spacing across the liquid surface, reflecting a negative emotional state. The right pattern has a more uniform spatial distribution and consistent droplet size, reflecting a calmer, more positive emotional state.





    System Workflow
    The hardware system comprises three fluidic actuation channels orchestrated by an Arduino Nano R4, selected for its compact form factor and high-resolution analog input support. Physiological input from two participants is captured via custom wearable respiratory belts incorporating stretchable conductive rubber elements, whose resistance varies with chest expansion. Signals are sampled at 100 Hz using the microcontroller’s 14-bit ADC, smoothed with an exponential moving average (α = 0.15), and briefly calibrated at startup to establish adaptive baselines and detection thresholds.





    Software Design
    The software architecture is split into two coordinated subsystems: a high level Narrative Engine that handles semantic analysis and audiovisual generation, and a low level Biofeedback Controller that manages real time respiration sensing and hydraulic actuation. This division prioritizes deterministic timing for physiological feedback while reserving large model inference for session initialization.











    Collaborated withMay Choy, Melo Chen, Rafeal LiRoleDesigner


    MIT Media Lab 2025

          1:35:40 PM 
    © 2026
    Lilith Ren®