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

机译:在计算机用户界面中建模用户的情绪和个性

摘要

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.
机译:本发明体现在一种计算机用户界面中,该计算机用户界面包括能够观察用户行为的观察者,能够通过向用户展示相应的行为来表达情感和个性的代理,以及将所述观察者观察到的用户行为与由该观察者表达的情感和个性链接的网络。说代理。该网络可以包括观察网络,该观察网络促进从观察者观察到的行为来推断用户的情绪和个性状态,以及代理网络,该网络促进从要由代理传达的情绪和个性状态来推断代理行为。另外,策略模块可以基于由观察网络推断出的用户情感和个性状态,将要由代理传达的期望情感和个性状态指示给代理网络。通常,每个网络都是随机模型。每个随机模型优选地是贝叶斯网络,从而观察网络是第一贝叶斯网络,而代理网络是第二贝叶斯网络。通常,第一和第二贝叶斯网络是彼此相似的副本。两个贝叶斯网络中的每一个都包括代表各自的情绪和个性变量的第一层多状态节点,以及代表各自的行为变量的第二层多状态节点。节点中的每个节点包括将一个节点中的每个状态与节点中其他节点的状态链接的概率。更具体地说,第一层中的每个节点包括将一个第一层节点的状态链接到第二层中的节点状态的概率。类似地,第二层中的每个节点都包括将一个第二层节点的状态链接到第一层中节点的状态的概率。

著录项

  • 公开/公告号US5987415A

    专利类型

  • 公开/公告日1999-11-16

    原文格式PDF

  • 申请/专利权人 MICROSOFT CORPORATION;

    申请/专利号US19980109233

  • 发明设计人 JOHN S. BREESE;JOHN EUGENE BALL;

    申请日1998-06-30

  • 分类号G10L3/00;

  • 国家 US

  • 入库时间 2022-08-22 01:39:09

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