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Mind-operated devices: mental control of a computer using biofeedback
1Department of Psychology, Towson University, Towson, Maryland, USA.
Summary
People can learn to control computers with biofeedback, using physiological signals like galvanic skin response (GSR). This biofeedback interface allowed participants to play games, with pairs showing better control than individuals.
Area of Science:
- Human-Computer Interaction
- Biomedical Engineering
- Cognitive Science
Background:
- Biofeedback interfaces offer novel ways to interact with technology.
- Understanding the learnability of physiological control is crucial for developing intuitive interfaces.
Purpose of the Study:
- To investigate the learnability of a biofeedback interface integrating galvanic skin response (GSR), heart rate, and temperature.
- To compare the effectiveness of individual versus paired control using the biofeedback system.
Main Methods:
- Twenty participants engaged with a biofeedback device controlling a computer game.
- Training involved a single session to assess learning curves for physiological control.
- Data collected included galvanic skin response (GSR), heart rate, and skin temperature.
Main Results:
- Most participants demonstrated the ability to control the game after one training session.
- Galvanic skin response (GSR) emerged as the most sensitive physiological measure for control.
- Paired participants exhibited superior control effectiveness compared to individuals operating the system alone.
Conclusions:
- It is feasible for individuals to rapidly learn computer control via a multi-modal biofeedback system.
- Galvanic skin response (GSR) provides a highly effective channel for biofeedback control.
- Collaborative use of biofeedback interfaces enhances control performance.