Augmented cognition in the operating room

RD Dias, SJ Yule, MA Zenati - Digital Surgery, 2021 - Springer
With the tremendous advances in technology and computational systems that occurred in
the last three decades, we have integrated novel technologies in virtually all human …

[PDF][PDF] Power to the Robots!? How Consumers Respond to Robotic Leaders in Cobotic Service Teams

I Shanks, M Scott, M Mende… - Marketing …, 2021 - thearf-org-unified-admin.s3 …
As service robots are an increased presence, we will likely see the emergence of human-
robot teams rather than robots that substitute human employees. Further, with technological …

Augmented reality-based explainable AI strategies for establishing appropriate reliance and trust in human-robot teaming

MB Luebbers, A Tabrez, B Hayes - 5th International Workshop on …, 2022 - openreview.net
In human-robot teaming, live and effective communication is of critical importance for
maintaining coordination and improving task fluency, especially in uncertain environments …

Learning dynamic patient-robot task assignment and scheduling for a robotic rehabilitation gym

B Adhikari, S Ranashing, BA Miller… - 2022 International …, 2022 - ieeexplore.ieee.org
A robotic rehabilitation gym is a setup that allows multiple patients to exercise together using
multiple robots. The effectiveness of training in such a group setting could be increased by …

An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research

JJR Lee, G Ajaykumar, I Shpitser… - arXiv preprint arXiv …, 2023 - arxiv.org
Quantitative methods in Human-Robot Interaction (HRI) research have primarily relied upon
randomized, controlled experiments in laboratory settings. However, such experiments are …

Optimization methods for interpretable differentiable decision trees in reinforcement learning

A Silva, T Killian, IDJ Rodriguez, SH Son… - arXiv preprint arXiv …, 2019 - arxiv.org
Decision trees are ubiquitous in machine learning for their ease of use and interpretability.
Yet, these models are not typically employed in reinforcement learning as they cannot be …

Dialogue management using reinforcement learning

B Rofi'ah, H Fakhrurroja… - … Electronics and Control), 2021 - telkomnika.uad.ac.id
Dialogue has been widely used for verbal communication between human and robot
interaction, such as assistant robot in hospital. However, this robot was usually limited by …

Can robots make good teammates?

C Beans - Proceedings of the National Academy of …, 2018 - National Acad Sciences
In every hospital labor and delivery department, a resource nurse decides which patients go
to which room, which nurses care for which patients, and much more.“It'sa lot to keep in your …

[图书][B] Enabling assistive service robots to contextually organize household objects

AO Adeleye - 2023 - search.proquest.com
Abstract Service robots are designed to assist and aid humans in the day to day tasks as
well as specific and minute tasks. In recent years there has been an increase in both …

Predicting Operator Cognitive States for Supervisory Human-Autonomy Teaming

JR Kintz, SL Buchner, AP Anderson… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Autonomous systems show promise as teammates for human operators in safety-and
performance-critical environments. Humans' cognitive states (like trust, mental workload …