Human-computer interaction safety guarantee method based on human behavior prediction

A human-computer interaction and security technology, applied in knowledge-based model computer systems, forecasting, data processing applications, etc., can solve the problem that the algorithm does not take into account the avoidance of risks, etc.

Pending Publication Date: 2022-07-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps prevent humans from becoming disorientated or even losing their ability to make choices based on certain factors like beliefs about them. It uses models developed through exploration techniques such as randomized experiments (RIT) and observational data analysis to identify potential hazards associated with these variables. These models are then used to create an objective function called a probability distribution over different scenarios where robots could perform various functions autonomously without being affected by external disturbances. By doing this, they will improve safety measures against dangerous situations while still giving themselves upward control capabilities.

Problems solved by technology

Technical Problem addressed in this patents relates to improving human computer interactions during collaborative work environments such as robotic systems and autonomous vehicles. Current techniques have limitations due to potential hazards related to human intervention, including physical danger and dangers associated with human machines. Therefore, new ways to improve these capabilities must include advanced analysis tools like motion planning, prediction, and psychology considerations.

Method used

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  • Human-computer interaction safety guarantee method based on human behavior prediction
  • Human-computer interaction safety guarantee method based on human behavior prediction
  • Human-computer interaction safety guarantee method based on human behavior prediction

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Embodiment Construction

[0032] The present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0033] The present invention considers people's decision-making model for risk avoidance, which is essentially the change of the expectation function, and is applied to the human-computer interaction system in which the machine predicts human behavior. Behavioral decisions taken. The data that the machine needs to obtain includes a series of state parameters of the current environment, a set of human goals (including the probability of human beings reaching the goal and the expected benefits), a set of actions that humans can take, and the current state of people. Based on the above data, the system predicts the next action of the human, so as to better realize the human-computer interaction. The schematic diagram of the human-computer interaction structure of the present invention is as follows: figure 1 As shown, the flow chart of the method of the pre

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Abstract

The invention provides a man-machine interaction safety guarantee method based on prediction of human behaviors, which can predict behavior decisions which can be taken by human beings next according to the external environment and previous behaviors of the human beings in consideration of risk avoidance of people. According to the method, the risk avoidance psychology of people during decision making is considered for the first time when human behaviors are predicted by a machine. Under the model established by the method, risk avoidance of human beings is considered, so that a machine can predict the action sequence of task completion of the human beings, and in a man-machine cooperation task, the robot can predict the next behavior of the human beings more accurately, so that the robot can better cooperate with the human beings to complete more complex tasks.

Description

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Claims

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Application Information

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Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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