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:
-
- Sandia Park, NM
- Albuquerque, NM
- 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 = {Tue Apr 28 00:00:00 EDT 2009},
month = {Tue Apr 28 00:00:00 EDT 2009}
}
Works referenced in this record:
Toward a Human Emulator: A Framework for the Comprehensive Computational Representation of Human Cognition
journal, October 2001
- Forsythe, Chris; Raybourn, Elaine
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 45, Issue 4
A naturalistic decision making model for simulated human combatants
report, May 2000
- Hunter, Keith O.; Hart, William E.; Forsythe, James C.
Cognitive Engineering
book, January 2002
- Roth, Emilie M.; Mumaw, Randall J.; Patterson, Emily S.
- Encyclopedia of Software Engineering
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
Using Psychologically Plausible Operator Cognitive Models to Enhance Operator Performance
journal, October 2003
- Forsythe, Chris; Bernard, Michael; Xavier, Patrick
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 47, Issue 3
An architecture and model for cognitive engineering simulation analysis - Application to advanced aviation automation
conference, February 2013
- Corker, Kevin; Smith, Barry
- 9th Computing in Aerospace Conference