Introduction: Walking while texting can create gait disturbances that may increase fall risk, especially in outdoors environment. To date, no study has quantified the effect of texting on motor behavior using different dynamic tasks in outdoor environments. We aimed to explore the impact of texting on dynamic tasks in indoor and outdoor environments.
Methods: Twenty participants (age 38.3 ± 12.5 years, 12 F) had a Delsys inertial sensor fixed on their back and completed walk, turn, sit-to-stand, and stand-to-sit subtasks with and without texting in both indoor and outdoor environments.
Results: While there was no difference in texting accuracy ( = 0.3), there was a higher dual-tasking cost in walking time with texting outdoors than indoors ( = 0.008).
Discussion: Dual tasking has a greater impact on walking time outdoors compared to an indoor environment. Our findings highlight the importance of patient education concerning dual-tasking and pedestrian safety in clinical settings.
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http://dx.doi.org/10.3389/fspor.2023.1077362 | DOI Listing |
Hum Mov Sci
December 2024
Univ. Lille, CNRS, UMR 9193 - SCALab, Sciences Cognitives et Sciences Affectives, F-59000 Lille, France. Electronic address:
Background And Aim: Sit-stand desks allow individuals to work in either sitting or standing position. While previous studies have reported better performance on the attention network test (ANT) while standing compared to sitting, the relationship between body sway induced by these positions and ANT performance remains unclear. In this study, we aimed to test and expect benefits of body sway (in terms of magnitude and complexity) and improvements in ANT performance when standing (e.
View Article and Find Full Text PDFInt J Nurs Stud Adv
June 2025
Research Centre Innovations in Care, Rotterdam University of Applied Sciences, P.O Box 25035, 3001 HA Rotterdam, the Netherlands.
Background: Self-management support is widely considered a critical aspect of nursing. Still, many studies indicate that nurses frequently experience difficulties in daily practice.
Objective: To gain a deeper understanding of the factors perceived by nurses to impede or promote their support of patients' self-management within the dynamic environment of the in-patient hospital setting.
BMJ Mil Health
December 2024
University of Oxford Social Sciences Division, Oxford, UK.
Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machine teams (HMT) that leverages the capabilities of people and technologies to outperform adversaries. Realising the full potential of these technologies will depend on understanding the relative strengths of humans and machines, and how we design effective integration to optimise performance and resilience across all use cases and environments.
View Article and Find Full Text PDFChaos
December 2024
Department of Electrical and Computer Engineering, the Clarkson Center for Complex Systems Science, Clarkson University, Potsdam, New York 13699, USA.
Artificial Neural Networks (ANNs) have proven to be fantastic at a wide range of machine learning tasks, and they have certainly come into their own in all sorts of technologies that are widely consumed today in society as a whole. A basic task of machine learning that neural networks are well suited to is supervised learning, including when learning orbits from time samples of dynamical systems. The usual construct in ANN is to fully train all of the perhaps many millions of parameters that define the network architecture.
View Article and Find Full Text PDFOpen Mind (Camb)
December 2024
University of Bern, Bern, Switzerland.
Task adaptation, characterized by a progressive increase in speed throughout experimental trials, has been extensively observed across various paradigms. Yet, the underlying mechanisms driving this phenomenon remain unclear. According to the learning-based explanation, participants are implicitly learning, becoming more proficient over time.
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