DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Human-machine interactions

Abstract

Digital technology utilizing a cognitive model based on human naturalistic decision-making processes, including pattern recognition and episodic memory, can reduce the dependency of human-machine interactions on the abilities of a human user and can enable a machine to more closely emulate human-like responses. Such a cognitive model can enable digital technology to use cognitive capacities fundamental to human-like communication and cooperation to interact with humans.

Inventors:
 [1];  [2];  [2];  [2];  [3];  [2]
  1. Sandia Park, NM
  2. Albuquerque, NM
  3. Tijeras, NM
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
963804
Patent Number(s):
7526465
Application Number:
11/083,428
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Forsythe, J Chris, Xavier, Patrick G, Abbott, Robert G, Brannon, Nathan G, Bernard, Michael L, and Speed, Ann E. Human-machine interactions. United States: N. p., 2009. Web.
Forsythe, J Chris, Xavier, Patrick G, Abbott, Robert G, Brannon, Nathan G, Bernard, Michael L, & Speed, Ann E. Human-machine interactions. United States.
Forsythe, J Chris, Xavier, Patrick G, Abbott, Robert G, Brannon, Nathan G, Bernard, Michael L, and Speed, Ann E. Tue . "Human-machine interactions". United States. https://www.osti.gov/servlets/purl/963804.
@article{osti_963804,
title = {Human-machine interactions},
author = {Forsythe, J Chris and Xavier, Patrick G and Abbott, Robert G and Brannon, Nathan G and Bernard, Michael L and Speed, Ann E},
abstractNote = {Digital technology utilizing a cognitive model based on human naturalistic decision-making processes, including pattern recognition and episodic memory, can reduce the dependency of human-machine interactions on the abilities of a human user and can enable a machine to more closely emulate human-like responses. Such a cognitive model can enable digital technology to use cognitive capacities fundamental to human-like communication and cooperation to interact with humans.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2009},
month = {4}
}

Works referenced in this record:

Toward a Human Emulator: A Framework for the Comprehensive Computational Representation of Human Cognition
journal, October 2001


Simulation of a cognitive algorithm for a distributed robotic sensing network
conference, January 2002

  • Schoenwald, D.; Xavier, P.; Thomas, E.
  • Fifth Biannual World Automation Congress (WAC 2002) ISORA 2002, ISIAC 2002 and ISOMA 2002. Robotics Manufacturing Automation and Control. Vol.14., Proceedings of the 5th Biannual World Automation Congress
  • https://doi.org/10.1109/WAC.2002.1049413

Using Psychologically Plausible Operator Cognitive Models to Enhance Operator Performance
journal, October 2003