This paper is concerned with the governance of geodetic deformation measurements. If we want to know if and how fast a country, or parts of it, are subsiding or rising, who decides that it should be measured and how is the methodology determined? What interests are at stake? How is the proper use and innovation of geodetic methods guaranteed? To be able to answer such and similar questions, a prelude to a taxonomy of governance arrangements for geodetic deformation measurements is presented. Relevant aspects of activities to measure deformations are incorporated into a system to describe governance arrangements. By interviewing nine experts in the field of geodetic deformation measurements in the Netherlands, the activities of companies, institutions and other structures that are concerned with geodetic deformation measurements were analysed, which provided the information to build a system that provides the basis for a taxonomy, which needs further validation in future research.
Physical and psychosocial stress and recovery are important performance determinants. A holistic approach that monitors these performance determinants over a longer period of time is lacking. Therefore this study aims to investigate the effect of a player’s physical and psychosocial stress and recovery on field-test performance. In a prospective non-experimental cohort design 10 female Dutch floorball players were monitored over 6 months. To monitor physical and psychosocial stress and recovery, daily training-logs and three-weekly the Recovery-Stress Questionnaire for Athletes (RESTQ-Sport) were filled out respectively. To determine field-test performance 6 Heart rate Interval Monitoring System (HIMS) and 4 Repeated Modified Agility T-test (RMAT) measurements were performed. Multilevel prediction models were applied to account for within-players and between-players field-test performance changes. The results show that more psychosocial stress and less psychosocial recovery over 3 to 6 weeks before testing decrease HIMS performance (p≤0.05). More physical stress over 6 weeks before testing improves RMAT performance (p≤0.05). In conclusion, physical and psychosocial stress and recovery affect submaximal interval-based running performance and agility up to 6 weeks before testing. Therefore both physical and psychosocial stress and recovery should be monitored in daily routines to optimize performance.
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Electromagnetic fields, or EMF, are ubiquitous in our daily life. Extremely low frequency magnetic fields (ELF MF) are generated by any device using electric current. Especially in workplace situations involving MRI scanners, welding equipment, induction heaters, and power plants, they are known for potentially high field strengths. These high field strengths may lead to adverse health effects if insufficient preventive measures are in place. This study investigates employees’ perceptions on work safety regarding EMF exposure. We held 15 semi-structured interviews in three different (non-nuclear) power plants in the Netherlands. We found that power plants in this study made ample use of fences and warning signs where needed, creating a safe working environment. Nevertheless, some workers perceive that there are vague regulations, organizational issues and lack of clarity on the properties of EMF. Participants also indicated that there is some room for improvement with respect to work safety meetings on EMF. Employees want to be informed about EMF and its potential health effects and mitigation methods, but their information need is limited and straightforward. A simple warning system, along with safety information on paper, may be sufficient. https://doi.org/10.1080/13669877.2020.1750459 LinkedIn: https://www.linkedin.com/in/john-bolte-0856134/
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The AR in Staged Entertainment project focuses on utilizing immersive technologies to strengthen performances and create resiliency in live events. In this project The Experiencelab at BUas explores this by comparing live as well as pre-recorded events that utilize Augmented Reality technology to provide an added layer to the experience of the user. Experiences will be measured among others through observational measurements using biometrics. This projects runs in the Experience lab of BUas with partners The Effenaar and 4DR Studio and is connected to the networks and goals related to Chronosphere, Digireal and Makerspace. Project is powered by Fieldlab Events (PPS / ClickNL)..
Evaluating player game experiences through biometric measurementsThe BD4CG (Biometric Design for Casual Games project) worked in a highly interdisciplinary context with several international partners. The aim of our project was to popularize the biometric method, which is a neuro-scientific approach to evaluating the player experience. We specifically aimed at the casual games sector, where casual games can be defined as video or web-based games with simple and accessible game mechanics, non threatening themes and generally short play sessions. Popular examples of casual games are Angry Birds and FarmVille. We focussed on this sector because it is growing fast, but its methodologies have not grown with it yet. Especially the biometrics method has so far been almost exclusively used domain by the very large game developers (such as Valve and EA). The insights and scientific output of this project have been enthusiastically embraced by the international academic arena. The aim of the grant was to focus on game producers in the casual sector, and we have done so but we also established further contacts with the game sector in general. Thirty-one outputs were generated, in the form of presentations, workshops, and accepted papers in prominent academic and industry journals in the field of game studies and game user research. Partners: University of Antwerpen, RANJ, Forward Games, Double Jungle, Realgames, Dreams of Danu, Codemasters, Dezzel, Truimph Studios, Golabi Studios
Electronic Sports (esports) is a form of digital entertainment, referred to as "an organised and competitive approach to playing computer games". Its popularity is growing rapidly as a result of an increased prevalence of online gaming, accessibility to technology and access to elite competition.Esports teams are always looking to improve their performance, but with fast-paced interaction, it can be difficult to establish where and how performance can be improved. While qualitative methods are commonly employed and effective, their widespread use provides little differentiation among competitors and struggles with pinpointing specific issues during fast interactions. This is where recent developments in both wearable sensor technology and machine learning can offer a solution. They enable a deep dive into player reactions and strategies, offering insights that surpass traditional qualitative coaching techniquesBy combining insights from gameplay data, team communication data, physiological measurements, and visual tracking, this project aims to develop comprehensive tools that coaches and players can use to gain insight into the performance of individual players and teams, thereby aiming to improve competitive outcomes. Societal IssueAt a societal level, the project aims to revolutionize esports coaching and performance analysis, providing teams with a multi-faceted view of their gameplay. The success of this project could lead to widespread adoption of similar technologies in other competitive fields. At a scientific level, the project could be the starting point for establishing and maintaining further collaboration within the Dutch esports research domain. It will enhance the contribution from Dutch universities to esports research and foster discussions on optimizing coaching and performance analytics. In addition, the study into capturing and analysing gameplay and player data can help deepen our understanding into the intricacies and complexities of teamwork and team performance in high-paced situations/environments. Collaborating partnersTilburg University, Breda Guardians.
