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Anticipation in manual tracking with multiple delays
Nigel Stepp1, Michael T Turvey2
1Information & Systems Sciences Laboratory, HRL Laboratories, LLC.
Journal of Experimental Psychology. Human Perception and Performance
|February 24, 2017
Summary
Manual tracking behavior aligns with anticipating synchronization, a dynamical systems phenomenon. Advanced coupling methods, including future value coupling, were explored in two experiments, extending prior research on delayed feedback.
Area of Science:
- Dynamical Systems Theory
- Human-Computer Interaction
- Cognitive Psychology
Background:
- Anticipating synchronization is a dynamical systems phenomenon where one system's behavior predicts another's.
- Previous research explored the effect of delay on anticipatory manual tracking.
- Existing coupling schemes primarily used single delayed feedback.
Purpose of the Study:
- To investigate if manual tracking behavior is consistent with anticipating synchronization.
- To extend prior research by manipulating coupling strength and employing advanced coupling schemes.
- To explore novel coupling arrangements, including multiple feedback delays and coupling to future values.
Main Methods:
- Conducted two experiments involving manual tracking tasks.
- Manipulated coupling strength and introduced advanced coupling schemes beyond single delayed feedback.
- Utilized an extended formulation to analyze coupling with multiple delays or future values, including a navigation task in Experiment 2.
Main Results:
- Behavior in manual tracking tasks was consistent with predictions from anticipating synchronization.
- Advanced coupling arrangements, including coupling to future values, were successfully implemented and analyzed.
- The findings extend the understanding of anticipating synchronization in human-machine interaction.
Conclusions:
- Manual tracking behavior can be effectively modeled using the principles of anticipating synchronization.
- The study demonstrates the feasibility and implications of advanced coupling schemes in dynamical systems.
- This research provides a foundation for further exploration of anticipatory behaviors in complex systems.

