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DIALOGUE-BASED RESEARCH IN MAN-MACHINE COMMUNICATION

IP.com Disclosure Number: IPCOM000128638D
Original Publication Date: 1975-Dec-31
Included in the Prior Art Database: 2005-Sep-16
Document File: 24 page(s) / 71K

Publishing Venue

Software Patent Institute

Related People

William C. Mann: AUTHOR [+3]

Abstract

This paper first surveys current knowledge of human communication from a point of view which seeks to find or develop knowledge that will be useful to computer system designers. The relevant scientific knowledge is found to be fragmentary and hard for designers to use. Next, the problem of complexity is explored. Building a useful knowledge of human communication is an extremely complex task. Controlling this complexity and its effects, without giving up usefulness, is seen as the central problem .in designing a research approach. Finally, a new research methodology is presented. It contains some innovations that help control the complexity of the task, and others that make the results useful to designers. The methodology is unique in that It is based on case analysis rather than functional system design. The results are in the form of individual computer algorithms (much smaller than systems).

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THIS DOCUMENT IS AN APPROXIMATE REPRESENTATION OF THE ORIGINAL.

DIALOGUE-BASED RESEARCH IN MAN-MACHINE COMMUNICATION

BY

William C. Mann

ISIIRR-75-41

November 1975

USC/Information Sciences Institute

4676 Admiralty Way Marina del Rey, California 30291 The research reported herein is supported by the PersonnEl and Training Research Programs of the Office of Naval Research (Code 458), Arlington VA 22217, Contract Authority Identification Number NR 154-374, Contract N00014-75-C-0710, under ARPA Order Number 2930 from the Human Resources Research Office of the Advanced Research Projects Agency. The report is approved for public release; distribution unlimited. Reproduction in whole or in part is permitted for any purpose of the United States Government. Opinions expressed herein are those of the author and do not necessarily reflect policy of any agency of the United States Government.

ABSTRACT

This paper first surveys current knowledge of human communication from a point of view which seeks to find or develop knowledge that will be useful to computer system designers. The relevant scientific knowledge is found to be fragmentary and hard for designers to use.

Next, the problem of complexity is explored. Building a useful knowledge of human communication is an extremely complex task. Controlling this complexity and its effects, without giving up usefulness, is seen as the central problem .in designing a research approach.

Finally, a new research methodology is presented. It contains some innovations that help control the complexity of the task, and others that make the results useful to designers. The methodology is unique in that

It is based on case analysis rather than functional system design.

The results are in the form of individual computer algorithms (much smaller than systems).

The algorithms are transferable into useful (nonresearch) systems.

This research is an integral part of a larger set of research objectives to substantially improve man/machine communication--particularly for thE~ ;;rowing level of on-line, interactive use of computers by the Department of Defense and the military departments. This research was supported by the Advanced Research Projects Agency of the Department of Defense and was monitored by ONR under Contract No. N00014-75-C-0710. A nearly identical version has been submitted for publication.

University of Southern California Page 1 Dec 31, 1975

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DIALOGUE-BASED RESEARCH IN MAN-MACHINE COMMUNICATION

1 NTRODL'CT ION

When people communicate with machines they do- so by specializing and extending their ability to communicate with each other. To design systems that can communicate with people, we need to know how people communicate.

This paper first surveys current knowledge of human communication from a point of view which seeks to find or develop knowledge that will be useful to system designers. The relevant scientific knowledge is found to be fragmentary and hard for designers to use.

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