The aim of this study was to investigate bodily engagement and involvement in traditional sporting games (TSGs), with a focus on the development of empathy. Even though the current research on empathy has been focused on its emotional component, the name "empathy" alludes to a considerably more profound dimension than emotional engagement. Empathy refers to the ability to perceive another person's private life through the exchange of contextual factors provided through interactive sports activities. In this study, based on real-world experiences, it has been demonstrated that traditional sporting games stimulate, preserve, or reveal empathic capacities in several ways. Games can show and sustain the full potential of empathic dispositions if they are present at a young age. Moreover, by examining empathy through the prism of a TSG, we recognized them as a source of relational empathy and feelings developed to various degrees by direct involvement. As a result, we may define empathy as an integrated pedagogy that can be more successfully conducted through TSGs which are multifaceted because of their internal and external logic systems. Essentially, the hypotheses discussed in this study allow us to postulate that the physical gaming involvement of players, such as role changes, influences the individual's empathic dimensions. Furthermore, the characteristics of traditional sporting game interaction networks may serve as a source of encouragement or inspiration for a wide range of games (theatrical, social, etc.).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263059PMC
http://dx.doi.org/10.3389/fpsyg.2023.1123519DOI Listing

Publication Analysis

Top Keywords

traditional sporting
16
sporting games
12
empathic dimensions
8
empathy
6
games
5
reflection traditional
4
sporting
4
games impact
4
impact bodily
4
involvement
4

Similar Publications

A randomized control trial to compare Quiet Eye training efficacy to traditional technical training with undergraduate student nurses' peripheral intravenous cannulation performance: a protocol.

Br J Nurs

January 2025

Department of Psychology, Faculty of Arts, University of Calgary, Alberta, Canada; Community Health Sciences, Faculty of Medicine, University of Calgary, Alberta, Canada; Ward of the 21st Century, Cumming School of Medicine, University of Calgary, Alberta, Canada.

Introduction: Peripheral intravenous cannulation (PIVC) is a common and complex procedure with low first-attempt success rates, causing patient suffering and increased healthcare costs. Quiet Eye (QE) training, a gaze-focused approach, has shown promise in improving procedural PIVC skills. We will examine the effectiveness of traditional technical training (TT) and QE training (QET) on student nurse PIVC performance.

View Article and Find Full Text PDF

"Radix Saniculae": Phytochemical Characterization and Potential Adulteration of an Austrian Traditional Wound-Healing Agent.

Plants (Basel)

January 2025

Department of Pharmaceutical Sciences, Division of Pharmacognosy, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

The aerial parts (Herba Saniculae) and the underground parts (Radix Saniculae) of (sanicle) have been used traditionally in Austrian folk medicine to treat wounds. Interestingly, in the Austrian vernacular, "Radix Saniculae" can also refer to the underground parts of . This ambiguity can lead to mistakes in using these two plants and, importantly, adulterations.

View Article and Find Full Text PDF

Vitamin C is an antioxidant and is essential for immune function and infection resistance. Supplementation is necessary when a sufficient amount of vitamin C is not obtained through the diet. Alternative formulations of vitamin C may enhance its bioavailability and retention over traditional ascorbic acid.

View Article and Find Full Text PDF

A Deep Learning Approach for Mental Fatigue State Assessment.

Sensors (Basel)

January 2025

Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100191, China.

This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. The study utilizes a hybrid deep neural network model, which integrates Residual Networks (ResNet) and Bidirectional Long Short-Term Memory (Bi-LSTM) for feature extraction, and a transformer for feature fusion. The model achieves an impressive accuracy of 95.

View Article and Find Full Text PDF

This study aimed to assess the intraday reliability of markerless gait analysis using an RGB-D camera versus a traditional three-dimensional motion analysis (3DMA) system with and without a simulated walking assistant. Gait assessments were conducted on 20 healthy adults walking on a treadmill with a focus on spatiotemporal parameters gathered using the RGB-D camera and 3DMA system. The intraday reliability of the RGB-D camera was evaluated using intraclass correlation coefficients (ICC 1, 1), while its consistency with the 3DMA system was determined using ICC (2, 1).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!