A human factors evaluation of two different machine control systems for log loaders

Area of Science:

• Human Factors Engineering
• Mobile Machinery Operation
• Ergonomics

Background:

• Modern heavy machinery control systems often lack a one-to-one correspondence between hand and implement movements.
• This discrepancy increases perceptual and psychomotor demands on machine operators.
• Evaluating human factors in control system design is crucial for optimizing operator performance and safety.

Purpose of the Study:

• To compare the human factors of traditional joint control systems versus coordinated control systems for log loaders.
• To assess operator performance differences between novice and experienced users on two distinct control systems.
• To provide data for improving control system design in heavy machinery.

Main Methods:

• A controlled field study was conducted using a log loader equipped with two control systems: joint and coordinated.
• Ten novice and six experienced operators participated in the study.
• Operator performance was measured by task completion time and reaction time.

Main Results:

• Novice operators demonstrated significantly better performance with the coordinated control system compared to the joint control system.
• Experienced operators performed significantly better with the traditional joint control system than with the coordinated system.
• Despite initial differences, results suggest experienced operators can adapt to coordinated control systems relatively quickly.

Conclusions:

• The choice of control system impacts operator performance differently based on experience level.
• Coordinated control systems offer potential benefits for novice operators in heavy machinery.
• Further research into skill transfer and training for experienced operators on new control systems is warranted.