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Published on: October 14, 2017
Operating Comfort Prediction Model of Human-Machine Interface Layout for Cabin Based on GEP
Li Deng1, Guohua Wang2, Bo Chen1
1School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.
This study introduces a Gene Expression Programming (GEP) model to predict operator comfort in human-machine interface design. The model quantines comfort scores, improving efficiency for cabin layout evaluations.
Area of Science:
- Ergonomics
- Human-Computer Interaction
- Computational Intelligence
Background:
- Evaluating human-machine interface (HMI) layout design for operator comfort is crucial for decision-making in cabin environments.
- Traditional methods may lack efficiency and quantitative accuracy in assessing ergonomic factors.
- Predicting operating comfort quantitatively can significantly enhance HMI design processes.
Purpose of the Study:
- To propose and validate a novel operating comfort prediction model for HMI layout design using Gene Expression Programming (GEP).
- To quantitatively evaluate and improve the efficiency of cabin layout design by predicting operator comfort.
- To establish a robust link between upper limb joint angles and perceived operating comfort.
Main Methods:
- Development of an operating comfort prediction model based on Gene Expression Programming (GEP).
- Utilizing upper limb joint angles as independent variables to model operating posture and comfort.
- Application of factor analysis to reduce 16 joint angles to 4 key comfort impact factors.
- Construction of a Chinese virtual human body model using CATIA for simulation and evaluation.
- Training and validation using 22 groups of evaluation data to derive the GEP function.
Main Results:
- A quantitative prediction model for operating comfort was successfully established using GEP.
- Factor analysis effectively reduced input variables from 16 joint angles to 4 comfort impact factors.
- The GEP-based model demonstrated fast and efficient prediction capabilities.
- The model showed a good prediction effect for the operating comfort of a driller control room HMI layout.
Conclusions:
- The GEP-based operating comfort prediction model is effective for evaluating HMI layout design.
- The model offers a fast, efficient, and accurate method for quantitative comfort assessment.
- Implementing this model can significantly improve the design efficiency of operator cabins.
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