TY - JOUR
T1 - Acceptability of robotic-assisted exercise coaching among diverse youth
T2 - Pilot study
AU - Barwise, Amelia K.
AU - Patten, Christi A.
AU - Bock, Martha J.
AU - Hughes, Christine A.
AU - Brockman, Tabetha A.
AU - Valdez Soto, Miguel A.
AU - Wi, Chung Il
AU - Juhn, Young J.
AU - Witt, Daniel R.
AU - Sinicrope, Stephen
AU - Kreps, Samantha R.
AU - Saling, Henry D.
AU - Levine, James A.
AU - Balls-Berry, Joyce E.
N1 - Funding Information:
This study was made possible by a Clinical and Translational Science Awards grant from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health (facilities grant number: UL1 TR02377; training grant number: TL1 TR 002380). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health. We wish to acknowledge the support of the Mayo Clinic Community Engagement in Research Advisory Board, the Rochester YMCA, and the Rochester Public Library. We appreciate the manuscript support given from Michelle Pearson and Denise Chase.
Publisher Copyright:
© Amelia K Barwise, Christi A Patten, Martha J Bock, Christine A Hughes, Tabetha A Brockman, Miguel A Valdez Soto, Chung-Il Wi, Young J Juhn, Daniel R Witt, Stephen Sinicrope, Samantha R Kreps, Henry D Saling, James A Levine, Joyce E Balls-Berry.
PY - 2019/7
Y1 - 2019/7
N2 - Background: Almost 80% of adolescents do not achieve 60 minutes or more of physical activity each day as recommended by current US national guidelines. There is a need to develop and promote interventions that increase physical activity among adolescents. With increased interest in digital technologies among adolescents, robotic-assisted platforms are a novel and engaging strategy to deliver physical activity interventions. Objective: This study sought to assess the potential acceptability of robotic-assisted exercise coaching among diverse youth and to explore demographic factors associated with acceptance. Methods: This pilot study used a cross-sectional survey design. We recruited adolescents aged 12-17 years at three community-based sites in Rochester, MN. Written informed consent was obtained from participants’ parents or guardians and participants gave consent. Participants watched a brief demonstration of the robotic system-human interface (ie, robotic human trainer). The exercise coaching was delivered in real time via an iPad tablet placed atop a mobile robotic wheel base and controlled remotely by the coach using an iOS device or computer. Following the demonstration, participants completed a 28-item survey that assessed sociodemographic information, smoking and depression history, weight, and exercise habits; the survey also included the eight-item Technology Acceptance Scale (TAS), a validated instrument used to assess perceived usefulness and ease of use of new technologies. Results: A total of 190 adolescents participated in this study. Of the participants, 54.5% were (103/189) male, 42.6% (81/190) were racial minorities, 5.8% (11/190) were Hispanic, and 28.4% (54/190) lived in a lower-income community. Their mean age was 15.0 years (SD 2.0). A total of 24.7% (47/190) of participants met national recommendations for physical activity. Their mean body mass index (BMI) was 21.8 kg/m2 (SD 4.0). Of note, 18.4% (35/190) experienced depression now or in the past. The mean TAS total score was 32.8 (SD 7.8) out of a possible score of 40, indicating high potential receptivity to the technology. No significant associations were detected between TAS score and gender, age, racial minority status, participant neighborhood, BMI, meeting national recommendations for physical activity levels, or depression history (P>.05 for all). Of interest, 67.8% (129/190) of participants agreed that they and their friends were likely to use the robot to help them exercise. Conclusions: This preliminary study found that among a racially and socioeconomically diverse group of adolescents, robotic-assisted exercise coaching is likely acceptable. The finding that all demographic groups represented had similarly high receptivity to the robotic human exercise trainer is encouraging for ultimate considerations of intervention scalability and reach among diverse adolescent populations. Next steps will be to evaluate consumer preferences for robotic-assisted exercise coaching (eg, location, duration, supervised or structured, choice of exercise, and/or lifestyle activity focus), develop the treatment protocol, and evaluate feasibility and consumer uptake of the intervention among diverse youth.
AB - Background: Almost 80% of adolescents do not achieve 60 minutes or more of physical activity each day as recommended by current US national guidelines. There is a need to develop and promote interventions that increase physical activity among adolescents. With increased interest in digital technologies among adolescents, robotic-assisted platforms are a novel and engaging strategy to deliver physical activity interventions. Objective: This study sought to assess the potential acceptability of robotic-assisted exercise coaching among diverse youth and to explore demographic factors associated with acceptance. Methods: This pilot study used a cross-sectional survey design. We recruited adolescents aged 12-17 years at three community-based sites in Rochester, MN. Written informed consent was obtained from participants’ parents or guardians and participants gave consent. Participants watched a brief demonstration of the robotic system-human interface (ie, robotic human trainer). The exercise coaching was delivered in real time via an iPad tablet placed atop a mobile robotic wheel base and controlled remotely by the coach using an iOS device or computer. Following the demonstration, participants completed a 28-item survey that assessed sociodemographic information, smoking and depression history, weight, and exercise habits; the survey also included the eight-item Technology Acceptance Scale (TAS), a validated instrument used to assess perceived usefulness and ease of use of new technologies. Results: A total of 190 adolescents participated in this study. Of the participants, 54.5% were (103/189) male, 42.6% (81/190) were racial minorities, 5.8% (11/190) were Hispanic, and 28.4% (54/190) lived in a lower-income community. Their mean age was 15.0 years (SD 2.0). A total of 24.7% (47/190) of participants met national recommendations for physical activity. Their mean body mass index (BMI) was 21.8 kg/m2 (SD 4.0). Of note, 18.4% (35/190) experienced depression now or in the past. The mean TAS total score was 32.8 (SD 7.8) out of a possible score of 40, indicating high potential receptivity to the technology. No significant associations were detected between TAS score and gender, age, racial minority status, participant neighborhood, BMI, meeting national recommendations for physical activity levels, or depression history (P>.05 for all). Of interest, 67.8% (129/190) of participants agreed that they and their friends were likely to use the robot to help them exercise. Conclusions: This preliminary study found that among a racially and socioeconomically diverse group of adolescents, robotic-assisted exercise coaching is likely acceptable. The finding that all demographic groups represented had similarly high receptivity to the robotic human exercise trainer is encouraging for ultimate considerations of intervention scalability and reach among diverse adolescent populations. Next steps will be to evaluate consumer preferences for robotic-assisted exercise coaching (eg, location, duration, supervised or structured, choice of exercise, and/or lifestyle activity focus), develop the treatment protocol, and evaluate feasibility and consumer uptake of the intervention among diverse youth.
KW - Adolescents
KW - Coaching
KW - Exercise
KW - Physical activity
KW - Robotics
KW - Technology
UR - http://www.scopus.com/inward/record.url?scp=85097855253&partnerID=8YFLogxK
U2 - 10.2196/12549
DO - 10.2196/12549
M3 - Article
AN - SCOPUS:85097855253
SN - 2561-6722
VL - 2
JO - JMIR Pediatrics and Parenting
JF - JMIR Pediatrics and Parenting
IS - 2
M1 - e12549
ER -