Taking steps toward more effective fitness trackers, more physical activity
As the popularity of fitness trackers has increased, so have the opportunities to use such devices to not only track fitness goals but also increase the motivation to meet those goals. Researchers in the College of Engineering and the College of Health and Human Development at Penn State have teamed up to use control systems engineering tools to tailor motivational messages sent to individual device users.
The results of their study were published today (Oct. 7) in Health Psychology.
“One of the really exciting advances of the last 15 years has been the advent of wearable and portable consumer technology that can be used to help promote physical activity,” said David Conroy, professor of kinesiology and human development and family studies, and co-principal investigator on the paper. “You can get real-time feedback from these devices and monitor your goals, and you can even push people messages, depending on what their goals are and what their behavior is. We know that those messages work well for improving behavior on average. But nobody is average, and we don’t know how to make sure each individual consistently gets the greatest benefit from a limited number of messages.”
Conroy said that researchers have tried several strategies, including messages that are specific to certain population segments; messages based on recent behavior — for example, sending one of two different messages depending on if a user did or did not meet their goals the previous day; and customizing the messages by putting in a person’s name or something they might like. So far, none of these approaches has proven to be consistently effective in improving the messages’ effects.
The new messaging approach developed by Conroy and Constantino Lagoa, co-principal investigator and professor of electrical engineering, applies tools used regularly in controlled systems engineering to behavior science.
“Essentially, we’re using the same mathematical tools that people in control engineering usually use to model behaviors as differential equations,” Lagoa said. “We’re using those models to design feedback controllers that take into account the current state of the person and together with the model decide what is the best time to send the messages.”
Conroy emphasized that establishing the correct dosing — meaning the type of message and its timing, frequency and context — is a critical part to this approach. More