Yannick Hill

Yannick Hill
Vrije Universiteit Amsterdam | VU · Faculty of Human Movement Sciences

PhD

About

13
Publications
6,280
Reads
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130
Citations
Introduction
Yannick Hill currently works at the Department of Human Movement Sciences at the VU Amsterdam. He does research in Sport Psychology and Developmental Psychology with a particular focus on resilience in human performance.
Additional affiliations
June 2021 - August 2022
Universität Heidelberg
Position
  • PostDoc Position
February 2021 - August 2021
University of Groningen
Position
  • Researcher
September 2020 - August 2021
University of Groningen
Position
  • Teacher

Publications

Publications (13)
Article
Full-text available
The number of resilience conceptualizations in psychology has rapidly grown, which confuses what resilience actually means. This is problematic, because the conceptualization typically guides the measurements, analyses, and practical interventions employed. The most popular conceptualizations of psychological resilience equate it with the ability t...
Article
Full-text available
Athletes are exposed to various psychological and physiological stressors, such as losing matches and high training loads. Understanding and improving the resilience of athletes is therefore crucial to prevent performance decrements and psychological or physical problems. In this review, resilience is conceptualized as a dynamic process of bouncing...
Article
Full-text available
Complex systems typically demonstrate a mixture of regularity and flexibility in their behavior, which would make them adaptive. At the same time, adapting to perturbations is a core characteristic of resilience. The first aim of the current research was therefore to test the possible relation between complexity and resilient motor performance (i.e...
Article
Full-text available
Due to restrictions against the COVID-19 pandemic, spectators were not allowed to attend soccer matches at the end of the 2019/2020 season. Previous studies suggest that the absence of a home crowd changes the home field advantage in terms of match outcomes, offensive performance, and referee decisions. However, because of the small sample sizes, t...
Article
Full-text available
The aim of the present research is to test whether resilience in a motor task enhances or diminishes when encountering stressors. We conducted a lateral movement task during which we induced stressors and tracked the movement accuracy of each participant over time. Stressors corresponded to organismic constraints (i.e., visual occlusion), task cons...
Article
Full-text available
Resilience is a key construct to understand when athletes continue to perform optimally, or when they break down. Although there is consensus that resilience can be conceptualized as a dynamic process, it remains an open question whether studying such a process on a group level adequately represents the individuals within a given sample. As a first...
Article
Full-text available
In the current study, we applied the dynamical systems approach to obtain novel insights into resilience losses. Dyads (n = 42) performed a lateral rhythmical pointing (Fitts) task. To induce resilience losses and transitions in performance, dyads were exposed to ascending and descending scoring scenarios. To assess changes in the complexity of the...
Article
Full-text available
In the past decades, much research has examined the negative effects of stressors on the performance of athletes. However, according to evolutionary biology, organisms may exhibit growth under stress, a phenomenon called antifragility. For both coaches and their athletes, a key question is how to design training conditions to help athletes develop...
Article
Full-text available
In our target article, we proposed the application of the dynamical systems approach to studying how the dynamic process of resilience unfolds over time. Sparked by the commentaries by Bryan and colleagues, Galli and Pagano, and Kiefer and colleagues, we aim to provide clarifications of the dynamical systems approach as well as possible extensions...
Article
Full-text available
Understanding the development of talent has been a major challenge across the arts, education, and particularly sports. Here, we show that a dynamic network model predicts typical individual developmental patterns, which for a few athletes result in exceptional achievements. We first validated the model on individual trajectories of famous athletes...
Article
Full-text available
On the road to excellence, it is essential to develop resilience, that is, to be able to positively adapt within the context of significant adversity. Researchers tend to agree that resilience is a complex process with a multitude of underlying variables. To stimulate research on the process of resilience, we propose the dynamical system approach t...

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Projects

Projects (2)
Project
Mass-casualty incidents with injured persons caused by human-made or by natural disasters are increasing globally. In such situations, medical first responders (MFR) need to perform basic life support and first aid to help stabilize victims until arrival of further support. Proper evaluation of situations, checking and monitoring the vital states, and choosing the most appropriate strategy for proceeding with treatments are challenges. However, current training abilities for such scenarios are limited. The MED1stMR consortium has identified Mixed Reality (MR) training as opportunity to better train and prepare MFRs for disasters. Thus, MED1stMR will develop a new generation of MR training providing haptic feedback through the integration of high-fidelity patient simulation manikins into MR. Thereby, MED1stMR offers a much richer sensory experience bringing MR training closer to reality. To enhance the effectiveness of MR training a physiological signal and trainee behavior feedback loop will be integrated for scenario control. In this respect, wearable technologies with body sensors will be developed allowing to monitor states and behaviour of MFR during training. Together with a model for effective performance in medical emergencies (EPME) this data will enable adapting training to trainee needs, manually or by artificial intelligence driven smart scenarios. Partnering MFR will be included in the project developments by an Agile End User Centred Research Methodology. To this end, MED1stMR will pursue the following pioneering objectives: a) Developing a pioneering MR training approach for enhanced realism, b) Developing effective training scenarios and a training curriculum through user-centred design with cross-sectoral MFR, c) Realisation of a physiological signal and trainee behaviour feedback loop and EPME model for smart scenario control thereby enhancing effectiveness of MR training and d) To position the pioneering MR training approach across Europe