CardioAlert: A Heart Rate Based Decision Support System for Improving Choices Related to Negative or Positive Future Events
22 Pages Posted: 10 May 2015 Last revised: 1 Aug 2015
Date Written: June 29, 2015
With this study, we investigated the possibility of exploiting the psychophysiological predictive anticipatory activity to avoid random negative events by using a portable device we named CardioAlert. The device uses the heart rate to send an alert when a negative event is anticipated, thus giving the individual an opportunity to change his/her choice.
In an exploratory experiment, one-hundred participants were asked to choose between two alternatives which had a random chance of leading to a “winning” outcome. Participants obtained 52.5% of “winning” choices when using the CardioAlert and 48.2% when they were not using it (effect size = 0.18; 95% confidence interval -.02 to .38).
The results of a pre-registered confirmatory experiment confirmed the main findings of the exploratory one. The mean percentage of positive choices was 52.7% when using the CardioAlert with an effect size of 0.23, 95% confidence interval .03 to .43.
A conceptual replication experiment which used the heart rate PPAA to avoid the negative event automatically instead of voluntarily, correctly predicted the occurrence of 56.3% of negative events with an effect size of 0.69, 95% confidence interval .47 to .91.
These findings suggest that psychophysiological predictive anticipatory activity can be exploited for developing practical decision supporting systems.
Keywords: predictive anticipatory activity; random events; decision supporting systems; heart rate
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