Elon University
The prediction, in brief:

Users can verify that the signature is authentic and that no bit of the signed document or document segment has been altered since it was signed. Signed document segments can be copied or moved in full without interfering with later signature verification.

Predictor: Engelbart, Douglas

Prediction, in context:

In a 1992 article titled “Toward High-Performance Organizations,” Douglas Engelbart writes: ”[One possibility is] Personal Signature Encryption – where a user can affix his personal signature to a document, or a specified segment within the document, using a private signature key. Users can verify that the signature is authentic and that no bit of the signed document or document segment has been altered since it was signed. Signed document segments can be copied or moved in full without interfering with later signature verification.”

Biography:

Douglas Engelbart, the inventor of the computer mouse, spent 40 years predicting, designing and implementing the future of organizational computing. In 1962, while at the Stanford Research Institute, he produced the paper “Augmenting Human Intellect: A Conceptual Framework,” from which came the concepts of augmenting human intellect, improvement infrastructure, co-evolution of artifacts with social-cultural language-practices and bootstrapping. His Augmentation Research Center developed an array of important human-computer interface solutions, including hypermedia. In 1989 he co-founded the Bootstrap Institute, a non-profit organization “in a quest to form strategic alliances aimed at improving organizations and society at large.” (Pioneer/Originator.)

Date of prediction: June 1, 1992

Topic of prediction: Communication

Subtopic: Security/Encryption

Name of publication: Bootstrap Institute

Title, headline, chapter name: Toward High-Performance Organizations: A Strategic Role for Groupware

Quote Type: Direct quote

Page number or URL of document at time of study:
http://www.bootstrap.org/augment/AUGMENT/132811.html

This data was logged into the Elon/Pew Predictions Database by: Garber, Adam