U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Modeling a user's emotion and personality in a computer user interface

Patent 5987415 Issued on November 16, 1999. Estimated Expiration Date: Icon_subject June 30, 2018. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Management issue recognition and resolution knowledge processor Patent #: 5241621
Issued on: 08/31/1993
Inventor: Smart

Inventors

Assignee

Application

No. 109233 filed on 06/30/1998

US Classes:

704/270, Application704/275Speech controlled system

Examiners

Primary: Hudspeth, David
Assistant: Sax, Robert Louis

Attorney, Agent or Firm

International Class

G10L 003/00

Abstract

The invention is embodied in a computer user interface including an observer capable of observing user behavior, an agent capable of conveying emotion and personality by exhibiting corresponding behavior to a user, and a network linking user behavior observed by said observer and emotion and personality conveyed by said agent. The network can include an observing network facilitating inferencing user emotional and personality states from the behavior observed by the observer as well as an agent network facilitating inferencing of agent behavior from emotion and personality states to be conveyed by the agent. In addition, a policy module can dictate to the agent network desired emotion and personality states to be conveyed by the agent based upon user emotion and personality states inferred by the observing network. Typically, each network is a stochastic model. Each stochastic model is preferably a Bayesian network, so that the observing network is a first Bayesian network while the agent network is a second Bayesian network. Generally, the first and second Bayesian networks are similar copies of one another. Each of the two Bayesian networks include a first layer of multi-state nodes representing respective emotional and personality variables, and a second layer of multi-state nodes representing respective behavioral variables. Each one of the nodes includes probabilities linking each state in the one node with states of others of the nodes. More specifically, each one of the nodes in the first layer includes probabilities linking the states of the one first layer node to the states of nodes in the second layer. Similarly, each one of the nodes in the second layer include probabilities linking the states of the one second layer node to states of nodes in the first layer.

Other References

  • Heckerman, David, Breese, John, Rommelse, Koos, "Decision-Theoretic Troubleshooting," Communications of the ACM, vol. 38, No. 3, Mar. 1995, pp. 49-57
  • Jensen, Finn V., "An Introduction to Bayesian Networks," UCL Press Limited, London, 1996, pp. 1-31
  • Lang, Peter J., "The Emotion Probe: Studies of Motivation and Attention," American Psychologist, vol. 50, No. 5, May 1995, pp. 372-385
  • McCrae, Robert R. and Costa, Jr., Paul T., "The Structure of Interpersonal Traits: Wiggin's Circumplex and the Five-Factor Model," Journal of Personality and Social Psychology, vol. 56, No. 4, 1989, pp. 586-595
  • Picard, Rosalind, "Affective Computing," MIT Press, Cambridge, Massachusetts, 1997, pp. 165-226
  • Reeves, Byron and Nass, Clifford, "The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places," Cambridge University Press, Cambridge, Massachusetts, 1996, pp. 75-13
PatentsPlus Images
Enhanced PDF formats
loading...
PatentsPlus: add to cart
PatentsPlus: add to cartSearch-enhanced full patent PDF image
$9.95more info
PatentsPlus: add to cart
PatentsPlus: add to cartIntelligent turbocharged patent PDFs with marked up images
$16.95more info
 
Sign InRegister
Username  
Password   
forgot password?