New technology developed at the MIT Media Laboratory enables students to become active participants in life-sized, computational simulations of dynamic systems. These Participatory Simulations provide an individual, "firstperson" perspective on the system, just as acting in Hamlet provides such a perspective on Shakespeare. Using our Thinking Tags, small, name-tag sized computers that communicate with each other via infrared, we add a thin layer of computation to participant's social interactions, transforming a group of people into participants in a dynamic simulation. Participants in these simulations get highly engaged in the activities and collaboratively study the underlying systemic model.
Most organizations have a wealth of knowledge about themselves available online, but little for a visitor to interact with on-site. At the MIT Media Lab, we have designed and deployed a novel intelligent signage system, the Glass Infrastructure (GI) that enables small groups of users to physically interact with this data and to discover the latent connections between people, projects, and ideas. The displays are built on an adaptive, unsupervised model of the organization developed using dimensionality reduction and common sense knowledge which automatically classifies and organizes the information. The GI is currently in daily use at the lab. We discuss the AI models development, the integration of AI into an HCI interface, and the use of the GI during the labs peak visitor periods. We show that the GI is used repeatedly by lab visitors and provides a window into the workings of the organization.
Most organizations have a wealth of knowledge about themselves available online, but little for a visitor to interact with on-site. At the MIT Media Lab, we have designed and deployed a novel intelligent signage system, the Glass Infrastructure (GI) that enables small groups of users to physically interact with this data and to discover the latent connections between people, projects, and ideas. The displays are built on an adaptive, unsupervised model of the organization developed using dimensionality reduction and common sense knowledge which automatically classifies and organizes the information.The GI is currently in daily use at the lab. We discuss the AI models development, the integration of AI into an HCI interface, and the use of the GI during the labs peak visitor periods. We show that the GI is used repeatedly by lab visitors and provides a window into the workings of the organization.
Abstract. This paper explores the use of electronic 'conversational props' to facilitate collaborative learning. Model-Based Communication (MBC), a technology that links application views, video and text messages --these application views are props for the conversation encoded in the messages --has been applied to the educational domain, the resulting application is called Media Fusion. This paper describes an ethnographic study of Media Fusion, where students in California and Washington D.C. used Media Fusion to explore and collaborate around issues concerning global warming~
Model-Based Communication(MBC) is a technology that enhances electronic communication with "conversational props". This technology has been applied to the educational domain, the resulting application is called Media Fusion.Me&a Fusion seeks to support learning by linking video and text messaging to data analysis tools in order to encourage communication and reflection.
We have built a set of computationally-augmented nametags capable of providing information about the relationship between two people engaged in a face-to-face conversation. This paper puts forward criteria useful for the design of such interpersonal augmentation, experiences that inform the principles, and initial evidence of their success.
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