Academic Journal
Research on multi-objective optimization of the interface for intelligent coal mine comprehensive mining system based on QN-MHP and Jack dual model validation.
| Τίτλος: | Research on multi-objective optimization of the interface for intelligent coal mine comprehensive mining system based on QN-MHP and Jack dual model validation. |
|---|---|
| Συγγραφείς: | Yuan X; School of Management, Xi'an University of Science and Technology, People's Republic of China.; Research Center for Human Factors and Management Ergonomics, Xi'an University of Science and Technology, People's Republic of China., Zhang X; School of Management, Xi'an University of Science and Technology, People's Republic of China.; Research Center for Human Factors and Management Ergonomics, Xi'an University of Science and Technology, People's Republic of China., Yu H; School of Management, Xi'an University of Science and Technology, People's Republic of China.; Research Center for Human Factors and Management Ergonomics, Xi'an University of Science and Technology, People's Republic of China., Ding Y; School of Management, Xi'an University of Science and Technology, People's Republic of China.; Research Center for Human Factors and Management Ergonomics, Xi'an University of Science and Technology, People's Republic of China. |
| Πηγή: | International journal of occupational safety and ergonomics : JOSE [Int J Occup Saf Ergon] 2026 Sep; Vol. 32 (3), pp. 877-895. Date of Electronic Publication: 2026 Jan 22. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9507598 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2376-9130 (Electronic) Linking ISSN: 10803548 NLM ISO Abbreviation: Int J Occup Saf Ergon Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2015- : Abingdon, UK : Taylor & Francis Original Publication: Norwood, N.J. : Ablex Pub. Co., c1995- |
| Ιατρικοί όροι (MeSH): | Ergonomics*/methods , Coal Mining* , User-Computer Interface* , Man-Machine Systems*, Humans ; Particle Swarm Optimization ; Algorithms ; Task Performance and Analysis ; Computer Simulation ; Soft Computing |
| Περίληψη: | To enhance the usability and operational comfort of the control interface in an intelligent coal mining comprehensive system, this study developed a multi-objective optimization model based on six dimensions: hierarchy, correlation, simplicity, comfort, reachability and visibility. The model was solved using a particle swarm optimization algorithm, and the optimized interface was validated through integration of Jack ergonomic simulation and the QN-MHP cognitive modeling approach. Experimental results showed that the optimized interface significantly improved operator performance: task completion time decreased by 16.2%, error rate was reduced by 75.0% and visual search time decreased by 13.2%. Cognitive load was also alleviated, with reduced utilization of the visual subsystem, central processing module and right-hand operation module, accompanied by increased processing speeds. In addition, the optimized layout improved upper-limb comfort and operational efficiency. The proposed method provides theoretical and methodological support for multi-objective optimization and multimodal validation of industrial human-machine interfaces. |
| Contributed Indexing: | Keywords: Jack; multi-objective optimization; particle swarm optimization; queuing network–model human processor; usability survey |
| Entry Date(s): | Date Created: 20260122 Date Completed: 20260924 Latest Revision: 20260924 |
| Update Code: | 20260925 |
| DOI: | 10.1080/10803548.2025.2609472 |
| PMID: | 41570335 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2376-9130 |
|---|---|
| DOI: | 10.1080/10803548.2025.2609472 |