Robotic Assistance in Coordination of Patient Care
We conducted a study to investigate trust in and dependence upon robotic decision support among nurses and doctors on a labor and delivery floor. There is evidence that suggestions provided by embodied agents engender inappropriate degrees of trust and reliance amon...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
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MIT Press
2018
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| Online Access: | http://hdl.handle.net/1721.1/114660 https://orcid.org/0000-0002-5321-6038 https://orcid.org/0000-0002-5638-9428 https://orcid.org/0000-0003-1338-8107 |
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| author | Shah, Neel Golen, Toni Gombolay, Matthew C. Yang, Xi Hayes, Bradley H Seo, Nicole Liu, Zixi Wadhwania, Samir Yu, Tania W. Shah, Julie A |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Shah, Neel Golen, Toni Gombolay, Matthew C. Yang, Xi Hayes, Bradley H Seo, Nicole Liu, Zixi Wadhwania, Samir Yu, Tania W. Shah, Julie A |
| author_sort | Shah, Neel |
| collection | MIT |
| description | We conducted a study to investigate trust in and
dependence upon robotic decision support among nurses and
doctors on a labor and delivery floor. There is evidence that
suggestions provided by embodied agents engender inappropriate
degrees of trust and reliance among humans. This concern is a
critical barrier that must be addressed before fielding intelligent
hospital service robots that take initiative to coordinate patient
care. Our experiment was conducted with nurses and physicians,
and evaluated the subjects’ levels of trust in and dependence
on high- and low-quality recommendations issued by robotic
versus computer-based decision support. The support, generated
through action-driven learning from expert demonstration, was
shown to produce high-quality recommendations that were ac-
cepted by nurses and physicians at a compliance rate of 90%.
Rates of Type I and Type II errors were comparable between
robotic and computer-based decision support. Furthermore, em-
bodiment appeared to benefit performance, as indicated by a
higher degree of appropriate dependence after the quality of
recommendations changed over the course of the experiment.
These results support the notion that a robotic assistant may
be able to safely and effectively assist in patient care. Finally,
we conducted a pilot demonstration in which a robot assisted
resource nurses on a labor and delivery floor at a tertiary care
center. |
| first_indexed | 2024-09-23T12:57:10Z |
| format | Article |
| id | mit-1721.1/114660 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:57:10Z |
| publishDate | 2018 |
| publisher | MIT Press |
| record_format | dspace |
| spelling | mit-1721.1/1146602022-09-28T11:07:12Z Robotic Assistance in Coordination of Patient Care Shah, Neel Golen, Toni Gombolay, Matthew C. Yang, Xi Hayes, Bradley H Seo, Nicole Liu, Zixi Wadhwania, Samir Yu, Tania W. Shah, Julie A Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Gombolay, Matthew C. Yang, Xi Hayes, Bradley H Seo, Nicole Liu, Zixi Wadhwania, Samir Yu, Tania W. Shah, Julie A We conducted a study to investigate trust in and dependence upon robotic decision support among nurses and doctors on a labor and delivery floor. There is evidence that suggestions provided by embodied agents engender inappropriate degrees of trust and reliance among humans. This concern is a critical barrier that must be addressed before fielding intelligent hospital service robots that take initiative to coordinate patient care. Our experiment was conducted with nurses and physicians, and evaluated the subjects’ levels of trust in and dependence on high- and low-quality recommendations issued by robotic versus computer-based decision support. The support, generated through action-driven learning from expert demonstration, was shown to produce high-quality recommendations that were ac- cepted by nurses and physicians at a compliance rate of 90%. Rates of Type I and Type II errors were comparable between robotic and computer-based decision support. Furthermore, em- bodiment appeared to benefit performance, as indicated by a higher degree of appropriate dependence after the quality of recommendations changed over the course of the experiment. These results support the notion that a robotic assistant may be able to safely and effectively assist in patient care. Finally, we conducted a pilot demonstration in which a robot assisted resource nurses on a labor and delivery floor at a tertiary care center. National Science Foundation (U.S.) (Grant 2388357) 2018-04-11T15:52:53Z 2018-04-11T15:52:53Z 2016 2018-04-10T17:19:43Z Article http://purl.org/eprint/type/ConferencePaper 9780992374723 http://hdl.handle.net/1721.1/114660 Gombolay, Matthew et al. “Robotic Assistance in Coordination of Patient Care.” Robotics: Science and Systems XII June 18-22 2016, Ann Arbor, Michigan, USA, MIT Press, 2016 https://orcid.org/0000-0002-5321-6038 https://orcid.org/0000-0002-5638-9428 https://orcid.org/0000-0003-1338-8107 http://dx.doi.org/10.15607/RSS.2016.XII.026 Robotics: Science and Systems XII Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf MIT Press MIT Web Domain |
| spellingShingle | Shah, Neel Golen, Toni Gombolay, Matthew C. Yang, Xi Hayes, Bradley H Seo, Nicole Liu, Zixi Wadhwania, Samir Yu, Tania W. Shah, Julie A Robotic Assistance in Coordination of Patient Care |
| title | Robotic Assistance in Coordination of Patient Care |
| title_full | Robotic Assistance in Coordination of Patient Care |
| title_fullStr | Robotic Assistance in Coordination of Patient Care |
| title_full_unstemmed | Robotic Assistance in Coordination of Patient Care |
| title_short | Robotic Assistance in Coordination of Patient Care |
| title_sort | robotic assistance in coordination of patient care |
| url | http://hdl.handle.net/1721.1/114660 https://orcid.org/0000-0002-5321-6038 https://orcid.org/0000-0002-5638-9428 https://orcid.org/0000-0003-1338-8107 |
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