Acceptance of an Adaptive Robotic Nursing Assistant for Ambulation Tasks

The effective use of nursing assistant robots requires an understanding of key acceptance factors. The study examined the differences in attitudes among 58 nursing students while performing ambulation tasks with and without an Adaptive Robotic Nursing Assistant (ARNA) robot. An ARNA is driven by tactile cues from the patient through a force–torque-measuring handlebar, whose signals are fed into a neuro-adaptive controller to achieve a specific admittance behavior regardless of patient strength, weight, or floor incline. Ambulation tasks used two fall-prevention devices: a gait belt and a full-body harness. The attitude toward the robot included perceived satisfaction, usefulness, and assistance, replacing the perceived ease-of-use construct found in the standard technology acceptance model. The effects of external demographic variables on those constructs were also analyzed. The modified technology acceptance model was validated with the simultaneous estimation of the effects of perceived usefulness and assistance on satisfaction. Our analysis employed an integrated hierarchical linear mixed-effects regression model to analyze the complex relationships between model variables. Our results suggest that nursing students rated the ARNA’s performance higher across all model constructs compared to a human assistant. Furthermore, male subjects rated the perceived usefulness of the robot higher than female subjects.

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Publication Details

Journal
Robotics
Published
2025-08-31
DOI
https://doi.org/10.3390/robotics14090121
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Acceptance of an Adaptive Robotic Nursing Assistant for Ambulation Tasks

Marjorie Erdmann, M. Cynthia Logsdon, Jeremy Gaskins, Bryan Edwards et al.
Robotics
AI in Service Interactions
article

Acceptance of an Adaptive Robotic Nursing Assistant for Ambulation Tasks

Marjorie Erdmann, M. Cynthia Logsdon, Jeremy Gaskins, Bryan Edwards, Dan O. Popa, Irina Kondaurova, Riten Mitra, Nancy Zhang, Madan Mohan Rayguru, Payman Sharafian, H. Yu
article en

Abstract

The effective use of nursing assistant robots requires an understanding of key acceptance factors. The study examined the differences in attitudes among 58 nursing students while performing ambulation tasks with and without an Adaptive Robotic Nursing Assistant (ARNA) robot. An ARNA is driven by tactile cues from the patient through a force–torque-measuring handlebar, whose signals are fed into a neuro-adaptive controller to achieve a specific admittance behavior regardless of patient strength, weight, or floor incline. Ambulation tasks used two fall-prevention devices: a gait belt and a full-body harness. The attitude toward the robot included perceived satisfaction, usefulness, and assistance, replacing the perceived ease-of-use construct found in the standard technology acceptance model. The effects of external demographic variables on those constructs were also analyzed. The modified technology acceptance model was validated with the simultaneous estimation of the effects of perceived usefulness and assistance on satisfaction. Our analysis employed an integrated hierarchical linear mixed-effects regression model to analyze the complex relationships between model variables. Our results suggest that nursing students rated the ARNA’s performance higher across all model constructs compared to a human assistant. Furthermore, male subjects rated the perceived usefulness of the robot higher than female subjects.

RoboticsVol. 14(9)
Oklahoma State University (US), University of Louisville (US)
National Science Foundation
Openalex Percentile: Top 88%
AI in Service Interactions
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