Interactive mixed media would have limitless instructional, educational and cultural uses … The world’s great architects, doctors, musical performers, car designers and poets could use this technology to deliver and explain their own unique forms of knowledge. Students would gain the advantage of being tutored and would derive much more wisdom from the masters than they could by studying passive manuscripts, drawings and musical scores
Predictor: Dertouzos, Michael
Prediction, in context:In a 1991 article for Technology Review, MIT researcher/administrator Michael Dertouzos writes:”Interactive mixed media would have limitless instructional, educational and cultural uses. Programs might engage you in the process of taking apart a bicycle or designing a house, or explain via animation how an embryo grows in the womb – responding to your prompts and questions. You might take the helm of a simulated yacht and sail it through the Greek islands before going on a real vacation there. The world’s great architects, doctors, musical performers, car designers and poets could use this technology to deliver and explain their own unique forms of knowledge. Students would gain the advantage of being tutored and would derive much more wisdom from the masters than they could by studying passive manuscripts, drawings and musical scores.”
Biography:Michael Dertouzos was director of the MIT Laboratory for Computer Science and the author of “The Unfinished Revolution.” He led a project intended to make computers adapt to people. He outlined a comprehensive proposal for a national information “infrastructure” in a 1991 article for Technology Review. (Research Scientist/Illuminator.)
Date of prediction: January 1, 1991
Topic of prediction: Getting, Sharing Information
Subtopic: General
Name of publication: Technology Review
Title, headline, chapter name: Building the Information Marketplace
Quote Type: Direct quote
Page number or URL of document at time of study:
http://web2.inftrac.galegroup.com/itw/infomark/599/939/33335322w2/purl=rcl
This data was logged into the Elon/Pew Predictions Database by: Dube, Kristin