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Augmenting Human Interaction using AI and wearables
MAS: Media Arts and Sciences
As soon as possible.
Project Us seeks to help people to learn to become more empathetic, by leveraging the power of machine learning and wearable devices. “Us” is a wearable textile device that can sense the wearer’s biosignals and seamlessly convey them to their interlocutor during any type of interaction. This technologically-enhanced feedback loop aims to enable each partner to "feel" the other’s emotions and corroborate it with context data, in a way that could result in a gradual training of their “empathy muscle". Short video: https://www.youtube.com/watch?v=y167xQE11eg Our aim with this research is to offer insights into the fundamental social dynamics of an increasingly technologically mediated world. What qualities affect how well someone understands our emotional states in digital communications? Could surfacing and sharing affective information about our bodies’ emotional responses augment this process? We currently have a prototype that yielded exciting results in pilot experiments (paper: ttps://dl.acm.org/doi/abs/10.1145/3393914.3395882 ). This project seeks to study the effects of the wearable when used at home during remote interactions (e.g., via zoom). The student(s) will be part of a team composed of members from MIT, Wellesley and Uni. Melbourne (Australia). The output of this research will also be part of a commission by the Science Gallery in Melbourne, for transforming the project into a (demo/art) experience for the general public. This will be part of their Mental exhibition in 2021 (https://opencall.sciencegallery.com/mental). The work can be fully remote and independent of location. Desired background: Machine Learning, natural language / audio processing, graphic design, user studies, software dev, OR Bluetooth. If you don't have the background, but you are highly motivated to participate in the project, please apply (email@example.com). Please find in the links below additional information: Video: https://www.youtube.com/watch?v=y167xQE11eg Latest paper: https://dl.acm.org/doi/abs/10.1145/3393914.3395882 Project website: https://www.media.mit.edu/projects/project-us/overview/
Desired background: Machine Learning, natural language / audio processing, graphic design, user studies, software dev, OR Bluetooth. If you don't have the background, but you are highly motivated to participate in the project, please apply (firstname.lastname@example.org).