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

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 interventio...

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Autores principales: Patten, Christi, Levine, James, Pavlidis, Ioannis, Balls-Berry, Joyce, Shah, Arya, Hughes, Christine, Brockman, Tabetha, Valdez Soto, Miguel, Witt, Daniel, Koepp, Gabriel, Sinicrope, Pamela, Richards, Jamie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944940/
https://www.ncbi.nlm.nih.gov/pubmed/29746530
http://dx.doi.org/10.1371/journal.pone.0197090
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author Patten, Christi
Levine, James
Pavlidis, Ioannis
Balls-Berry, Joyce
Shah, Arya
Hughes, Christine
Brockman, Tabetha
Valdez Soto, Miguel
Witt, Daniel
Koepp, Gabriel
Sinicrope, Pamela
Richards, Jamie
author_facet Patten, Christi
Levine, James
Pavlidis, Ioannis
Balls-Berry, Joyce
Shah, Arya
Hughes, Christine
Brockman, Tabetha
Valdez Soto, Miguel
Witt, Daniel
Koepp, Gabriel
Sinicrope, Pamela
Richards, Jamie
author_sort Patten, Christi
collection PubMed
description 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.
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spelling pubmed-59449402018-05-25 Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers Patten, Christi Levine, James Pavlidis, Ioannis Balls-Berry, Joyce Shah, Arya Hughes, Christine Brockman, Tabetha Valdez Soto, Miguel Witt, Daniel Koepp, Gabriel Sinicrope, Pamela Richards, Jamie PLoS One Research Article 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. Public Library of Science 2018-05-10 /pmc/articles/PMC5944940/ /pubmed/29746530 http://dx.doi.org/10.1371/journal.pone.0197090 Text en © 2018 Patten et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Patten, Christi
Levine, James
Pavlidis, Ioannis
Balls-Berry, Joyce
Shah, Arya
Hughes, Christine
Brockman, Tabetha
Valdez Soto, Miguel
Witt, Daniel
Koepp, Gabriel
Sinicrope, Pamela
Richards, Jamie
Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title_full Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title_fullStr Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title_full_unstemmed Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title_short Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
title_sort survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944940/
https://www.ncbi.nlm.nih.gov/pubmed/29746530
http://dx.doi.org/10.1371/journal.pone.0197090
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