Technology, Mind, and Behavior – New Journal from APA
Technology, Mind, and Behavior is an open access, interdisciplinary, peer-reviewed journal that publishes original work in the area of human–technology interaction with a focus on human behavior at the individual or group level.
More information here: https://www.apa.org/pubs/journals/tmb/index
More information here: https://www.apa.org/pubs/journals/tmb/index
New smartphone app developed at USC aims to support fitness among older adults
If the infomercials are to be believed, older adults want cellphones that are anything but smart. With oversized displays and one-touch medical alert buttons, products like the Jitterbug flip phone are simple by design.But technology usage trends among seniors are changing faster than ever. According to the Pew Research Center, 42 percent of Americans aged 65-and-older own a smartphone. As the digital gap between generations narrows, USC researchers hope to harness the potential of smartphone apps to improve the lives of older Americans.
“We’re looking at a wonderful opportunity for utilizing mobile devices to promote wellness and prevent disease,” said Stacey Schepens Niemiec, assistant professor of research at the USC Chan Division of Occupational Science and Occupational Therapy.
That opportunity will soon be made a reality. Thanks to a new $468,000 grant from the National Institute on Aging, Schepens Niemiec and her team of health professionals, engineers and community partners will systematically develop and test MovingUp, a multi-feature smartphone app designed to facilitate older adults’ levels of physical activity.
(Read full article here)
“We’re looking at a wonderful opportunity for utilizing mobile devices to promote wellness and prevent disease,” said Stacey Schepens Niemiec, assistant professor of research at the USC Chan Division of Occupational Science and Occupational Therapy.
That opportunity will soon be made a reality. Thanks to a new $468,000 grant from the National Institute on Aging, Schepens Niemiec and her team of health professionals, engineers and community partners will systematically develop and test MovingUp, a multi-feature smartphone app designed to facilitate older adults’ levels of physical activity.
(Read full article here)
All your health and fitness data, and one woman who mines it
Understanding human health-related behavior in real time (read full post)
his post discusses using transdisciplinary alliances to create innovative modes of data collection and new, dynamic computational models health-related behavior in real time.
By Donna Spruijt-Metz and Zan Romanoff
Real-time digital data streaming from smartphone apps offer us the opportunity for radically new understandings of human behavior – but also requires that we break away from outdated models of data collection and analysis in order to take full advantage of the richness of the information available.(read more)
By Donna Spruijt-Metz and Zan Romanoff
Real-time digital data streaming from smartphone apps offer us the opportunity for radically new understandings of human behavior – but also requires that we break away from outdated models of data collection and analysis in order to take full advantage of the richness of the information available.(read more)
 LInda Collins presenting an Introduction to MOST
Video: Inroduction to MOST
We recently released an eight-minute video that provides a conceptual overview of the multiphase optimization strategy (MOST). In the video, Methodology Center Director Linda Collins explains the phases of MOST, a framework for optimizing behavioral and biobehavioral interventions. This is the third in our series of instructional videos; video introductions to latent class analysis and time-varying effect modeling are also available. Watch the video. 
ftware: R Package for MOST
Our latest software release will assist R users who are planning studies that follow the multiphase optimization strategy (MOST). The MOST: Multiphase Optimization Strategy R package combines the functionality of the RelativeCosts1 SAS macro for charting the relative costs of reduced factorial designs; the FactorialPowerPlan SAS macro for calculating the power, effect size, or sample size of a factorial experiment; and the Random Assignment Generator for factorial experiments web applet. The software is hosted on CRAN, the Comprehensive R Archive Network, rather than on our website in order to make it available to as many R users as possible. Read more or download. |
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