scholarly journals Relationship Between Surgeon’s Brain Functional Network Reconfiguration and Performance Level During Robot-Assisted Surgery

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 33472-33479 ◽  
Author(s):  
Somayeh B. Shafiei ◽  
Ahmed Aly Hussein ◽  
Khurshid A. Guru
Keyword(s):  
Performance Level ◽  
Functional Network ◽  
Network Reconfiguration ◽  
Robot Assisted ◽  
Brain Functional Network ◽  
And Performance ◽  
Robot Assisted Surgery

Assembling the Team: An Analysis of Partner Selection and Performance in Robot-Assisted Surgery

2020 ◽  
Vol 2020 (1) ◽  
pp. 18727
Author(s):  
Marco Tonellato ◽  
Daniele Mascia ◽  
Alessandro Lomi ◽  
Jürgen Lerner
Keyword(s):  
Partner Selection ◽  
Robot Assisted ◽  
And Performance ◽  
Robot Assisted Surgery

Do People Trust in Robot-Assisted Surgery? Evidence from Europe (Preprint)

2020 ◽  
Author(s):  
Joan Torrent-Sellens ◽  
Ana Jiménez-Zarco ◽  
Francesc Saigí-Rubió
Keyword(s):  
Technology Acceptance ◽  
Surgical Intervention ◽  
Negative Relationship ◽  
Predictor Variable ◽  
Major Change ◽  
Ease Of Use ◽  
The European Union ◽  
Robot Assisted ◽  
Surgical Interventions ◽  
Robot Assisted Surgery

BACKGROUND Increasingly intelligent and autonomous robots are destined to have a huge impact on our society. Their adoption, however, represents a major change to the healthcare sector’s traditional practices, which, in turn, poses certain challenges. To what extent is it possible to foresee a near-future scenario in which minor routine surgery is directed by robots? And what are the patients’ or general public’s perceptions of having surgical procedures performed on them by robots, be it totally or partially? A patient’s trust in robots and AI may facilitate the spread and use of such technologies. OBJECTIVE The goal of our study was to establish the factors that influence how people feel about having a medical operation performed on them by a robot. METHODS We used data from a 2017 Flash Eurobarometer (number 460) of European Commission with 27,901 citizens aged 15 years and over in the 28 countries of the European Union. The research designs and tests a technology acceptance model (TAM). Logistic regression (odds ratios, OR) to model the predictors of trust in robot-assisted surgery was calculated through motivational factors, robots using experience and sociodemographic independent variables. RESULTS The negative relationship between most of the predictors of ease of use, expected benefits and attitude towards robots, and confidence in robot-assisted surgery was contrasted. The only non-sociodemographic predictor variable that has a positive relationship with trust in robots participating in a surgical intervention is previous experience in the use of robots. In this context, we analyze the confidence predictors for three different levels of robot use experience (zero use, average use, and high use). The results obtained indicate that, as the experience of using robots increases, the predictive coefficients related to information, attitude and perception of robots become more negative. Research results also determined that variables of a sociodemographic nature played an important predictive role. It was confirmed that the effect of experience on trust in robots for surgical interventions was greater among men, people between 40 and 54 years old, and those with higher educational levels. CONCLUSIONS Despite the considerable benefits for the patient that the use of robots can bring in a surgical intervention, the results obtained show that trust in robots goes beyond rational decision-making. By contrasting the reasons that generate trust and mistrust in robots, especially by highlighting the experience of use as a key element, the research makes a new contribution to the state of the art and draws practical implications of the use of robots for health policy and practice.

scholarly journals Even Pacing Is Associated with Faster Finishing Times in Ultramarathon Distance Trail Running—The “Ultra-Trail du Mont Blanc” 2008–2019

2020 ◽  
Vol 17 (19) ◽  
pp. 7074 ◽  
Author(s):  
Daniel Suter ◽  
Caio Victor Sousa ◽  
Lee Hill ◽  
Volker Scheer ◽  
Pantelis Theo Nikolaidis ◽  
...  
Keyword(s):  
General Linear Model ◽  
Performance Level ◽  
Age Group ◽  
Younger Age ◽  
Pacing Strategies ◽  
And Performance ◽  
Group Sex ◽  
The Impact ◽  
Trail Running ◽  
One Way Anova

In recent years, there has been an increasing number of investigations analyzing the effects of sex, performance level, and age on pacing in various running disciplines. However, little is known about the impact of those factors on pacing strategies in ultramarathon trail running. This study investigated the effects of age, sex, and performance level on pacing in the UTMB® (Ultra-trail du Mont Blanc) and aimed to verify previous findings obtained in the research on other running disciplines and other ultramarathon races. Data from the UTMB® from 2008 to 2019 for 13,829 race results (12,681 men and 1148 women) were analyzed. A general linear model (two-way analysis of variance (ANOVA)) was applied to identify a sex, age group, and interaction effect in pace average and pace variation. A univariate model (one-way ANOVA) was used to identify a sex effect for age, pace average, and pace variation for the fastest men and women. In our study, pace average and a steadier pace were positively correlated. Even pacing throughout the UTMB® correlated with faster finishing times. The average pace depended significantly on sex and age group. When considering the top five athletes in each age group, sex and age group also had significant effects on pace variation. The fastest women were older than the fastest men, and the fastest men were faster than the fastest women. Women had a higher pace variation than men. In male competitors, younger age may be advantageous for a successful finish of the UTMB®. Faster male runners seemed to be younger in ultramarathon trail running with large changes in altitude when compared to other distances and terrains.

scholarly journals Telemanipulation of an Articulated Robotic Arm using a Commercial Virtual Reality Controller

2020 ◽  
Vol 6 (3) ◽  
pp. 127-130
Author(s):  
Max B. Schäfer ◽  
Kent W. Stewart ◽  
Nico Lösch ◽  
Peter P. Pott
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Robotic Arm ◽  
Input Device ◽  
Robot Assisted ◽  
Promising Alternative ◽  
Input Devices ◽  
Current Input ◽  
Current Systems ◽  
Robot Assisted Surgery

AbstractAccess to systems for robot-assisted surgery is limited due to high costs. To enable widespread use, numerous issues have to be addressed to improve and/or simplify their components. Current systems commonly use universal linkage-based input devices, and only a few applicationoriented and specialized designs are used. A versatile virtual reality controller is proposed as an alternative input device for the control of a seven degree of freedom articulated robotic arm. The real-time capabilities of the setup, replicating a system for robot-assisted teleoperated surgery, are investigated to assess suitability. Image-based assessment showed a considerable system latency of 81.7 ± 27.7 ms. However, due to its versatility, the virtual reality controller is a promising alternative to current input devices for research around medical telemanipulation systems.

scholarly journals Pacing in Time-Limited Ultramarathons from 6 to 24 Hours—The Aspects of Age, Sex and Performance Level

2021 ◽  
Vol 13 (5) ◽  
pp. 2705
Author(s):  
Hagen Deusch ◽  
Pantelis T. Nikolaidis ◽  
José Ramón Alvero-Cruz ◽  
Thomas Rosemann ◽  
Beat Knechtle
Keyword(s):  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Training Programs ◽  
Performance Level ◽  
Running Speed ◽  
And Performance ◽  
Main Effects ◽  
And Training ◽  
Age And Sex

(1) Background: Compared with marathon races, pacing in time-limited ultramarathons has only been poorly discussed in the literature. The aim of the present study was to analyze the interaction of performance level, age and sex with pacing during 6 h, 12 h or 24 h time-limited ultramarathons. (2) Methods: Participants (n = 937, age 48.62 ± 11.80 years) were the finishers in 6 h (n = 40, 17 women and 23 men), 12 h (n = 232, 77 women and 155 men) and 24 h (n = 665, 166 women and 409 men) ultramarathons. The coefficient of variation (CV), calculated as SD/mean, was used to described pacing. Low scores of CV denoted a more even pacing, and vice versa. A two-way analysis of variance examined the main effects and interactions of sex and race duration on age, race speed and pacing. (3) Results: More men participated in the longer race distances than in the shorter ones and men were older and faster than women. Comparing the 6 h, 12 h and 24 h races, the finishers in the 6 h were the fastest, the finishers in the 12 h were the oldest and the finishers in the 24 h showed the most variable pacing. Furthermore, the faster running speed in the 12 h (women, r = −0.64; men, r = −0.49, p < 0.001) and the 24 h (r = −0.47 in women and men, p < 0.001) was related to less variable pacing. (4) Conclusions: These data might help runners and coaches to choose the the proper duration of a race and training programs for their athletes.

Game variables that predict success and performance level in elite men’s volleyball

2021 ◽  
pp. 1-13
Author(s):  
Sotirios Drikos ◽  
Karolina Barzouka ◽  
Maria-Elissavet Nikolaidou ◽  
Konstantinos Sotiropoulos
Keyword(s):  
Performance Level ◽  
And Performance

Examining frustration and performance when priming user expectations and providing a technology malfunction

2020 ◽  
Vol 64 (1) ◽  
pp. 1846-1850
Author(s):  
Nina Ferreri ◽  
Christopher B. Mayhorn
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Digital Technology ◽  
Mobile App ◽  
Performance Level ◽  
Qr Code ◽  
Attitudes And Behaviors ◽  
Main Effect ◽  
User Expectations ◽  
And Performance

As digital technology develops, users create expectations for performance that may be violated when malfunctions occur. This project examined how priming expectations of technology performance (high v. low v. no) and experiences of technology malfunction (present v. not present) can influence feelings of frustration and performance on a task. A preliminary sample of 42 undergraduate participants completed a QR code scavenger hunt using the augmented reality mobile app, ARIS. Following the task, participants reported what they found for each scavenger hunt clue, their responses to failures in digital technology, and technology acceptance attitudes. Several factorial ANOVAs revealed a main effect for expectation on adaptive items of the RFDT scale and a main effect for malfunction on performance level. This suggests a potential contradiction between attitudes and behaviors when considering a common scenario involving technology.

Sign in / Sign up

Export Citation Format

Share Document