A Human-Computer Interaction Optimization Method for Command and Control System Based on Gesture Complexity

Aiming at the low efficiency of gesture interaction in the command and control system, this paper proposes a gesture interaction optimization method based on gesture complexity. Ten joint points are selected to model gestures, and gesture pairs and complexity are defined. Complexity is used as the basis for gesture optimization. Finally, the commonly used GOMS model in human factors engineering is used to evaluate interaction efficiency. The results show that this method can reduce task completion time and effectively improve interaction efficiency.