pp. 4179-4194
S&M4175 Technical paper of Special Issue https://doi.org/10.18494/SAM5683 Published: September 30, 2025 Decision-making Algorithms Based on Artificial Intelligence [PDF] Jianlei Qian, Kun Wang, and Zonglin Li (Received March 31, 2025; Accepted September 9, 2025) Keywords: artificial intelligence, algorithms, decision-making, user experience, implementation
Advancements in AI technologies have transformed decision-making processes across various industries. However, effective AI technology usage necessitates an understanding of the capabilities of algorithms. Therefore, we explored how the effectiveness of AI analytics enhances decision-making capabilities. A structured questionnaire survey was conducted with 91 professionals across industries to assess user experience with AI analytics, perception of its effectiveness in decision-making, impact on decision-making effectiveness, and implementation challenges. The perception of its effectiveness scored 2.69, user experience with AI analytics scored 3.09, and decision-making effectiveness scored 3.73 on average. Challenges for the implementation of AI analytics showed a significant positive correlation with the perception of effectiveness in decision-making. Although the potential of AI analytics is widely recognized, challenges in addressing its implementation must be addressed. The findings of this study provide a basis for understanding how to effectively utilize AI technologies. The importance of integrating human expertise must be emphasized to enhance decision-making capability with the help of AI technologies.
Corresponding author: Jianlei Qian![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Jianlei Qian, Kun Wang, and Zonglin Li, Decision-making Algorithms Based on Artificial Intelligence, Sens. Mater., Vol. 37, No. 9, 2025, p. 4179-4194. |