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Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery
Mutual trust is important in surgical teams, especially in robot-assisted surgery (RAS) where interaction with robot-assisted interface increases the complexity of relationships within the surgical team. However, evaluation of trust between surgeons is challenging and generally based on subjective m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827753/ https://www.ncbi.nlm.nih.gov/pubmed/29483564 http://dx.doi.org/10.1038/s41598-018-22025-1 |
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author | Shafiei, Somayeh B. Hussein, Ahmed Aly Muldoon, Sarah Feldt Guru, Khurshid A. |
author_facet | Shafiei, Somayeh B. Hussein, Ahmed Aly Muldoon, Sarah Feldt Guru, Khurshid A. |
author_sort | Shafiei, Somayeh B. |
collection | PubMed |
description | Mutual trust is important in surgical teams, especially in robot-assisted surgery (RAS) where interaction with robot-assisted interface increases the complexity of relationships within the surgical team. However, evaluation of trust between surgeons is challenging and generally based on subjective measures. Mentor-Trainee trust was defined as assessment of mentor on trainee’s performance quality and approving trainee’s ability to continue performing the surgery. Here, we proposed a novel method of objectively assessing mentor-trainee trust during RAS based on patterns of brain activity of surgical mentor observing trainees. We monitored the EEG activity of a mentor surgeon while he observed procedures performed by surgical trainees and quantified the mentor’s brain activity using functional and cognitive brain state features. We used methods from machine learning classification to identity key features that distinguish trustworthiness from concerning performances. Results showed that during simple surgical task, functional brain features are sufficient to classify trust. While, during more complex tasks, the addition of cognitive features could provide additional accuracy, but functional brain state features drive classification performance. These results indicate that functional brain network interactions hold information that may help objective trainee specific mentorship and aid in laying the foundation of automation in the human-robot shared control environment during RAS. |
format | Online Article Text |
id | pubmed-5827753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58277532018-03-01 Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery Shafiei, Somayeh B. Hussein, Ahmed Aly Muldoon, Sarah Feldt Guru, Khurshid A. Sci Rep Article Mutual trust is important in surgical teams, especially in robot-assisted surgery (RAS) where interaction with robot-assisted interface increases the complexity of relationships within the surgical team. However, evaluation of trust between surgeons is challenging and generally based on subjective measures. Mentor-Trainee trust was defined as assessment of mentor on trainee’s performance quality and approving trainee’s ability to continue performing the surgery. Here, we proposed a novel method of objectively assessing mentor-trainee trust during RAS based on patterns of brain activity of surgical mentor observing trainees. We monitored the EEG activity of a mentor surgeon while he observed procedures performed by surgical trainees and quantified the mentor’s brain activity using functional and cognitive brain state features. We used methods from machine learning classification to identity key features that distinguish trustworthiness from concerning performances. Results showed that during simple surgical task, functional brain features are sufficient to classify trust. While, during more complex tasks, the addition of cognitive features could provide additional accuracy, but functional brain state features drive classification performance. These results indicate that functional brain network interactions hold information that may help objective trainee specific mentorship and aid in laying the foundation of automation in the human-robot shared control environment during RAS. Nature Publishing Group UK 2018-02-26 /pmc/articles/PMC5827753/ /pubmed/29483564 http://dx.doi.org/10.1038/s41598-018-22025-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shafiei, Somayeh B. Hussein, Ahmed Aly Muldoon, Sarah Feldt Guru, Khurshid A. Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title | Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title_full | Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title_fullStr | Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title_full_unstemmed | Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title_short | Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery |
title_sort | functional brain states measure mentor-trainee trust during robot-assisted surgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827753/ https://www.ncbi.nlm.nih.gov/pubmed/29483564 http://dx.doi.org/10.1038/s41598-018-22025-1 |
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