Jun Woo Kwon
Biographic Data
| ID | 6947834 |
|---|---|
| NAME | Jun Woo Kwon |
| GIVEN NAMES | Jun Woo |
| FAMILY NAME | Kwon |
| SIGNATURE | KWON J W |
| AFFILIATIONS | Seoul National University of Education |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From bad calls to system errors
Automated and assisted officiating technologies are often introduced in elite sport as ways to improve accuracy, consistency, and fairness. Studies of VAR and Hawk-Eye show that these technologies can improve some decisions, but they also show that technology does not simply remove error from officiating. It can change where error is located, how it is described, and who is expected to answer for it. This article focuses on that shift. The main i…
Beyond comfort
Breast support and breast protection have usually been treated as matters of comfort, apparel fit, or participation in women's sport. This framing is too narrow if breast-related problems influence pain, movement, reporting behaviour, protective equipment use, and exposure to contact or impact.In women's sport, injury-prevention discussions have often centred on established topics such as anterior cruciate ligament injury, relative energy deficie…
The analytics–practice gap
The rapid expansion of tracking systems, wearable sensors, video-based analysis platforms, and analytical models has created increasingly data-rich environments in sport. However, the extent to which these developments translate into coaching decisions remains uncertain. In applied settings, decisions about training design, tactical preparation, player selection, workload management, and in-game adjustment often continue to rely heavily on experi…
Designing tech-ready recreational sport systems
Recreational sport represents the largest and most diverse segment of global sport participation, yet sport science and coaching research remains largely centered on elite performance contexts and technology-driven interventions. As a result, many recreational sport programs lack coherent system-level structures that support long-term participation, adaptability across skill levels, and scalable innovation. This conceptual analysis synthesizes li…
From searching to asking
For nearly two decades, searching was the default way people accessed information online. Users typed keywords, scanned lists of results, and moved across multiple sources to construct an understanding. This process was not always efficient, but it required active engagement. Recently, however, a different pattern has begun to emerge. Instead of searching, many users now ask.Generative AI systems, particularly large language models (LLMs), are in…
A conceptual field-based framework for lower–upper body kinetic chain assessment in the tennis serve using IMUs and portable force plates
Understanding the tennis serve requires an integrated view of how forces generated at the ground are transmitted through the lower limbs, trunk, and upper extremities to the racket. Despite this, most wearable-sensor research has focused predominantly on upper-body kinematics, with leg drive and ground reaction forces remaining largely unexplored in field-based settings. This conceptual paper proposes a practical, on-court framework that combines…
Athlete data sovereignty
Sports technology has rapidly reshaped the measurement and governance of athletic performance. Wearables, smart fabrics, and AI-linked sensors now generate constant biometric and tactical streams used for analytics, injury prevention, and fan-facing applications. As these tools become embedded in everyday training, the line between assistance and surveillance becomes harder to distinguish, raising new concerns about autonomy and control(1). Altho…
No prominent works on this page.
Athlete data sovereignty
Sports technology has rapidly reshaped the measurement and governance of athletic performance. Wearables, smart fabrics, and AI-linked sensors now generate constant biometric and tactical streams used for analytics, injury prevention, and fan-facing applications. As these tools become embedded in everyday training, the line between assistance and surveillance becomes harder to distinguish, raising new concerns about autonomy and control(1). Altho…
From bad calls to system errors
Automated and assisted officiating technologies are often introduced in elite sport as ways to improve accuracy, consistency, and fairness. Studies of VAR and Hawk-Eye show that these technologies can improve some decisions, but they also show that technology does not simply remove error from officiating. It can change where error is located, how it is described, and who is expected to answer for it. This article focuses on that shift. The main i…
Beyond comfort
Breast support and breast protection have usually been treated as matters of comfort, apparel fit, or participation in women's sport. This framing is too narrow if breast-related problems influence pain, movement, reporting behaviour, protective equipment use, and exposure to contact or impact.In women's sport, injury-prevention discussions have often centred on established topics such as anterior cruciate ligament injury, relative energy deficie…
The analytics–practice gap
The rapid expansion of tracking systems, wearable sensors, video-based analysis platforms, and analytical models has created increasingly data-rich environments in sport. However, the extent to which these developments translate into coaching decisions remains uncertain. In applied settings, decisions about training design, tactical preparation, player selection, workload management, and in-game adjustment often continue to rely heavily on experi…
Designing tech-ready recreational sport systems
Recreational sport represents the largest and most diverse segment of global sport participation, yet sport science and coaching research remains largely centered on elite performance contexts and technology-driven interventions. As a result, many recreational sport programs lack coherent system-level structures that support long-term participation, adaptability across skill levels, and scalable innovation. This conceptual analysis synthesizes li…
From searching to asking
For nearly two decades, searching was the default way people accessed information online. Users typed keywords, scanned lists of results, and moved across multiple sources to construct an understanding. This process was not always efficient, but it required active engagement. Recently, however, a different pattern has begun to emerge. Instead of searching, many users now ask.Generative AI systems, particularly large language models (LLMs), are in…
A conceptual field-based framework for lower–upper body kinetic chain assessment in the tennis serve using IMUs and portable force plates
Understanding the tennis serve requires an integrated view of how forces generated at the ground are transmitted through the lower limbs, trunk, and upper extremities to the racket. Despite this, most wearable-sensor research has focused predominantly on upper-body kinematics, with leg drive and ground reaction forces remaining largely unexplored in field-based settings. This conceptual paper proposes a practical, on-court framework that combines…
Ethics and Social Impacts of AI (3 works) · Coaching (2 works) · Doping in Sports (2 works) · Process (computing) (2 works) · Sport Psychology and Performance (2 works) · Sports Analytics and Performance (2 works) · Sports Performance and Training (2 works) · Wearable computer (2 works) · Accountability (1 work) · Affordance (1 work)