Android widgets work best for sleep app users

"The widget is not a full app, but it's a small window on the home screen where people can interact with the information and access the full app," says Eun Kyoung Choe. The widget feature is exclusive to the Android phone models. There is no iPhone widget variation. (Credit: Parisa/Flickr)

People who used the widget version of an Android sleep-monitoring app were more likely to add information and interact with that data than those who used the full app version, report researchers.

The finding suggests that an effective smartphone app should make data-collection easy, but not so easy that the user forgets to look at and reflect on that information.

“As a human-computer interaction researcher, I’m interested in helping people collect their own health information for self-monitoring and also make sense of their data to gain insight. Engagement with data is really important in increasing their self-awareness,” says Eun Kyoung Choe, assistant professor of information sciences and technology at Penn State.

“Automated sensing can lower the capture burden to collect a lot of data; however, the down side of that is it leads to less engagement with the data and less self-awareness.”

SleepTight sleep app
The researchers developed an Android sleep-monitoring app widget called SleepTight. (Credit: Eun Kyoung Choe/Penn State)

SleepTight on the lock screen

To promote both ease of entering and engaging with the data, the researchers developed an Android sleep monitoring app widget, called SleepTight, that served as a data-capturing tool as well as providing visual reminders of the user’s activities and sleep patterns. The widget would then appear on the home screen—or lock screen—of an Android phone.

“The widget is not a full app, but it’s a small window on the home screen where people can interact with the information and access the full app,” says Choe. “We thought that maybe the widget could ease the capture burden, as well as ease the access burden.”

[Apps and gadgets fall short for kids’ sleep]

The researchers, who recruited 22 people for the study, found that participants who used the widget version of the app were more likely to enter daily sleep diary information into the app than those who did not use widgets. Sleep diary adherence was 92 percent for the participants who had the widgets installed on their app compared to 73 percent who used the app without the widget.

Participants using the widget version also viewed the sleep summary page more than the participants who used the full app version.

“This result indicates that the lock screen and home screen widgets reminded participants to view the sleep summary page and offered a shortcut to the sleep summary page,” the researchers say. “Thus, we can conclude that widgets afford frequent self-reflection.”

Increased self-reflection, then, could improve the chances that users will make necessary behavioral changes to benefit their health, according to Choe.

Self-awareness vs. privacy

The researchers, who presented their findings yesterday at the ACM International Joint Conference on Pervasive and Ubiquitous Computing, asked the participants during weekly surveys and exit interviews what they learned from the app.

[What are your apps telling third parties?]

Participants using both versions of SleepTight showed signs of self-reflection and self-awareness. They indicated that they better understood sleep patterns, as well as other non-sleep activities that could influence those patterns, such as diet and alcohol use.

Participants indicated that one drawback of using the widget was its lack of privacy compared to the full app.

“Because the data is always on the lock screen, other people could see it,” says Choe. “You might not feel comfortable with your boss looking over your shoulder and knowing that you had only two hours sleep the night before, or how many drinks you had.”

The widget feature is exclusive to the Android phone models. There is no iPhone widget variation.

Additional researchers from Microsoft Research and the University of Washington contributed to the work. The National Science Foundation and Intel Science and Technology Center for Pervasive Computing supported the research.

Source: Penn State