Advanced user interfaces will bridge the gap between users and the future National Information Infrastructure. A wide range of new technologies that adapt to human senses and abilities must be developed to provide more effective human-machine communications.
Predictor: Information Infrastructure Technology and Applications (IITA) Task Group: High-Performance Computing and Communications Information Technology Subcommittee
Prediction, in context:In a final draft of their Dec. 1, 1993 recommendations for the National Information Infrastructure, members of the High-Performance Computing Communications and Information Technology subcommittee write the following: ”Advanced user interfaces will bridge the gap between users and the future National Information Infrastructure [NII]. A wide range of new technologies that adapt to human senses and abilities must be developed to provide more effective human-machine communications. The IITA program must achieve a high-level user interface to satisfy the many different needs and preferences of vast numbers of citizens who interact with the NII … Work in [the human-computer interface] includes development of technologies for speech recognition and general, graphical user interfaces that allow rapid browsing of large quantities of data; user-sensitive interfaces that customize and present information for particular levels of understanding; language corpora for experimental research; and human-machine interaction via touch, facial expression, gesture, etc. The … emphasis is on integration, real-communication modalities in multimedia, multi-sensory environments.”
Date of prediction: December 1, 1993
Topic of prediction: Community/Culture
Subtopic: Human-Machine Interaction
Name of publication: Information Infrastructure Technology and Applications - Report of the IITA Task Group: High-Performance Computing Communications and Information Technology Subcommittee
Title, headline, chapter name: 3.4 Intelligent Interfaces
Quote Type: Direct quote
Page number or URL of document at time of study:
http://www.ifla.org/documents/infopol/us/iita.txt
This data was logged into the Elon/Pew Predictions Database by: Kohlhagen, Kelly C.