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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5944940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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