Research on Decision Efficiency of Human Computer Interaction Interface Based on Image Entropy
Year: 2024
Type: conference-paper
Abstract: With the continuous advancement of human-computer interaction technology, improving interface decision-making efficiency has become a current research hotspot. This article is based on the calculation principle of image entropy, and studies the relationship between interface image entropy value and interface decision-making efficiency. The research results indicate that image entropy, as an indicator to measure the amount of image information, can provide scientific basis for human-computer interaction interface design, thereby improving decision-making efficiency. The research conclusion further deepens the application of image entropy in the field of human-computer interaction and is of great significance for improving the decision-making efficiency of human-computer interaction interfaces.
Authors: Yeshan Zhu, Wei Wang, Qingli Wang
Institution: Air Force Engineering University
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Award: G4642194350
OpenAlex ID: W4409095378