Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers.

Journal: PloS one
Published Date:

Abstract

A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, exercise coaching intervention was effective for smoking cessation among depressed women smokers. However, the sample was 90% White and of high socioeconomic status, and the intensity of the intervention limits its reach. One approach to intervention scalability is to deliver the supervised exercise coaching using a robotic human exercise trainer. This is done in real time via an iPad tablet placed on a mobile robotic wheel base and controlled remotely by an iOS device or computer. As an initial step, this preliminary study surveyed potential receptivity to a robotic-assisted exercise coaching intervention among 100 adults recruited in two community settings, and explored the association of technology acceptance scores with smoking status and other demographics. Participants watched a brief demonstration of the robot-delivered exercise coaching and completed a 19-item survey assessing socio-demographics and technology receptivity measured by the 8-item Technology Acceptance Scale (TAS). Open-ended written feedback was obtained, and content analysis was used to derive themes from these data. Respondents were: 40% female, 56% unemployed, 41% racial minority, 38% current smoker, and 58% depression history. Mean total TAS score was 34.0 (SD = 5.5) of possible 40, indicating overall very good receptivity to the robotic-assisted exercise intervention concept. Racial minorities and unemployed participants reported greater technology acceptance than White (p = 0.015) and employed (p<0.001) respondents. No association was detected between the TAS score and smoking status, depression, gender or age groups. Qualitative feedback indicated the robot was perceived as a novel, motivating, way to increase intervention reach and accessibility, and the wave of the future. Robotic technology has potential applicability for exercise coaching in a broad range of populations, including depressed smokers. Our next step will be to conduct a pilot trial to assess acceptability and potential efficacy of the robotic-assisted exercise coaching intervention for smoking cessation.

Authors

  • Christi Patten
    Department of Psychology and Psychiatry, Mayo Clinic, Rochester, Minnesota, United States of America.
  • James Levine
    Department of Obesity Solutions, Mayo Clinic, Scottsdale, Arizona, United States of America.
  • Ioannis Pavlidis
    Department of Computer Science, University of Houston, Houston, Texas, United States of America.
  • Joyce Balls-Berry
    Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Arya Shah
    Mayo Clinic School of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Christine Hughes
    Department of Psychology and Psychiatry, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Tabetha Brockman
    Center for Clinical and Translational Science, Office for Community Engagement in Research, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Miguel Valdez Soto
    Center for Clinical and Translational Science, Office for Community Engagement in Research, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Daniel Witt
    Mayo Clinic School of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Gabriel Koepp
    Department of Obesity Solutions, Mayo Clinic, Scottsdale, Arizona, United States of America.
  • Pamela Sinicrope
    Department of Psychology and Psychiatry, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Jamie Richards
    Rochester Area Family YMCA, Rochester, Minnesota, United States of America.