1. Background introduction
Artificial Intelligence (AI) is a discipline that studies how to let computers simulate human intelligence. Human intelligence includes learning, understanding natural language, reasoning, cognition, emotion and other abilities. In the past few decades, artificial intelligence researchers have made great progress, such as applications in image recognition, speech recognition, machine translation, etc. However, collaboration and communication remain a challenging area in the field of artificial intelligence.
In artificial intelligence, collaboration and communication refer to the interaction between computers, as well as the interaction between computers and humans. To achieve better collaboration and communication, we need to study the differences and connections between human attention and computer attention. Human attention refers to humans' selective attention to external information. It can help humans find key information in massive information and process it effectively when needed. Computer attention refers to how computers find key information in massive data and process it effectively.
In this article, we will discuss the differences and connections between human attention and computer attention, and explore how to achieve better collaboration and communication in the field of artificial intelligence. We will discuss the following aspects:
- Background introduction
- Core concepts and connections
- Detailed explanation of the core algorithm principles and specific operation steps as well as mathematical model formulas
- Specific code examples and detailed explanations
- Future development trends and challenges
- Appendix Frequently Asked Questions and Answers
2. Core concepts and connections
In this section, we discuss the core concepts of human attention and computer attention, and how they are connected.
2.1 Human attention
Human attention refers to humans’ selective attention to external information. Human attention can help humans find key information in massive amounts of information and process it effectively when needed. The main characteristics of human attention are as follows:
- Selectivity: Human attention focuses only on task-relevant information.
- Split attention: Humans can focus on multiple tasks simultaneously, but attention