The founders of the Emergence Party have researched and published about many cognitive technologies, including building theories and tools to explore collaboration and co-creation between people as well as between people and creative computers called co-creative agents. Check out some of their projects below!
The Drawing Apprentice is the first co-creative drawing partner that can collaborate with users in real time on a shared canvas. It analyzes the user's lines and generates its own responses using a combination of machine learning algorithms. The system engages users in a creative dialogue to inspire new ideas and lower the barrier of entry for creative expression. The Drawing Apprentice is an experimental platform to study the technical approaches, interaction design, and user experience of co-creation.
Co-creation is a new interdisciplinary research topic that asks questions related to human-computer interaction, computational creativity, and cognitive science. It investigates how two or more agents interact to produce emergent meaning and artifacts in a participatory process of meaning building (i.e. participatory sense-making). The workshop is designed to discuss and share findings related to the unique challenges of co-creation as an application domain. Atlanta, Georgia, June 19, 2017
An outreach and community building effort to engage people in creative collaboration through drawing, painting, and other creative activities. Painting parties provide an inclusive place to play and explore through art--great for beginners and experts alike! Bring your own supplies or use ours, the whole thing is really emergent! Want to learn how to throw an Emergence Painting Party? See the rules of the collaboration game here.
Artworks produced through collaboration during drawing and painting parties using variations of the collaboration game outlined in the painting party page. Share your own collaborative artwork on social media using the hashtags #emergence #paintingparty and we'll add it to the gallery! Tell your friends how easy and fun it is to make cool art that you can hang in your house and display on the Emergence Party site!
Creative sense-making (CSM) is a cognitive framework to help understand participatory interaction among multiple agents during co-creation. It uses the cognitive science theory of enaction and participatory sense-making to describe how agents gradually interact with each other and their environment to build meaning through negotiating shared experiences in dynamic coordination. CSM helps operationalize the ideas of emergence as they relate to social relationship and dynamic creative interactions.
Developing tools and analysis techniques to quantify the interaction dynamics of creative sense-making. These tools are meant to understand open-ended improvisational collaboration, e.g. engagement dynamics, rhythm of interaction, nature of turn taking, leading/following strategies. This project entails designing the interaction analysis software for analyzing video data in a way that helps quantify different types of (participatory) sense-making in creative experiences between humans and between humans and co-creative agents.
Georgia Tech based startup using machine learning for social media analysis. The software can predict engagement and outcomes in large scale social networks, as well as offer refinements, suggestions, and new ideas for social media content based on its knowledge of the user's target audience. The co-founder of this company is also a collaborator for the other Emergence Tech projects listed.
Indiana Robbins and Dr. Nick Davis share an open dialogue about how emergence and cognitive technologies can help people make sense of their lives and the world we live in. Short audio and video segments applying the principles of emergence to life, politics, and everything in between. Discussion topics include theories of cognition, learning, perception, social interaction, creativity, collaboration, technology, artificial intelligence, and their application to business and everyday living.
We’re working to make the ideas of emergence useful to the everyday person by designing new tools to support decision making, such as simulations and predictions to inform political and life decisions. The goal is to leverage the power of creative artificial intelligence, interactive machine learning, and modern cognitive theories to develop an emergence machine that can collabrate with users to accurately predict the outcome of policy decisions. We think technology should help people make sense of their life and the world around them by supporting and augmenting human creativity, problem solving, and decision making--not replacing them.
Create a museum for all the long lost science, pseudo-science, quackery, gadgets, and occult oddities that have fallen by the wayside throughout the ages. Explore interactive art exhibits themed on the history of fringe science and mystical ideas from modernity to antiquity. Genius ideas always come from somewhere, and sometimes their source is more surprising and quirky than you’d ever imagine. After all, Newton practiced alchemy; did he find the philosopher’s stone?
An early stage interactive artwork that provides a window into the soul of the participant by analyzing brainwaves to interpret emotional responses to art, music, and media. Participants wear an EEG headset as they walk around a large geodesic dome to view the various artworks and media stations. The participants' emoptional response to the artworks is recorded and visualized in real time on a screen outside the dome, which gives the audience a window into the internal experience of the participant. When the participant exits the dome, they can view and print their brainwave signals and the inputs that caused them. Next, they can use their neural data to generate new multimedia artworks that reflect their unique biosignature!
A design fiction exploration of what augmented reality technology may be like in the near future. The narrative uses the cognitive science principles of enactive perception in conjunction with augmented reality to explore what it means to augment perception in a natural and harmonious manner. Instead of introducing more interfaces and information overload, this story explores subtle techniques for augmenting perception in a similar way as the brain, such as perceptual saliency and object affordances.