Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
While tracking-data analytics can be a goldmine for institutions and companies, the inherent privacy concerns also form a legal, ethical and social minefield. We present a study that seeks to understand the extent and circumstances under which tracking-data analytics is undertaken with social licence-that is, with broad community acceptance beyond formal compliance with legal requirements. Taking a University campus environment as a case, we enquire about the social licence for Wi-Fi-based tracking-data analytics. Staff and student participants answered a questionnaire presenting hypothetical scenarios involving Wi-Fi tracking for university research and services. Our results present a Bayesian logistic mixed-effects regression of acceptability judgements as a function of participant ratings on 11 privacy dimensions. Results show widespread acceptance of tracking-data analytics on campus and suggest that trust, individual benefit, data sensitivity, risk of harm and institutional respect for privacy are the most predictive factors determining this acceptance judgement.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139460 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0251964 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.
Sci Med Footb
July 2025
Department of Computer Science, Leuven.AI, LISS, KU Leuven, Leuven, Belgium.
The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team performance and player recruitment. Research in this area makes use of large datasets consisting of event and tracking data from multiple teams, leagues and seasons.
View Article and Find Full Text PDFBroadcast analytics - an evaluation of video-based tracking systems with constrained player visibility.
Sci Med Footb
July 2025
Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany.
Advancements in recent years have enabled the generation of tracking data from broadcast videos. However, regardless of the quality of these systems, off-screen actions cannot be monitored since the athletes are not visible. The present study investigates the influence of player visibility in soccer broadcast videos on typical data analysis routines in soccer.
View Article and Find Full Text PDFMapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review.
Front Sports Act Living
May 2025
Research Center in Sports, Health and Human Development, Covilhã, Portugal.
Football, as a dynamic and complex sport, demands an understanding of tactical behaviors to excel in training and competition. Artificial intelligence (AI) has revolutionized the tactical performance analysis in football, offering unprecedented data analytics insights for players, coaches, and analysts. This systematic review aims to examine and map out the current state of research on AI-based tactical behavior, collective dynamics, and movement patterns in football.
View Article and Find Full Text PDFUnderstanding autism: Causes, diagnosis, and advancing therapies.
Brain Res Bull
July 2025
Hainan Women and Children's Medical Center, Hainan Medical University, Haikou 570206, PR China. Electronic address:
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by difficulties in social communication, languages, and repetitive behaviors. Its rising prevalence has made it a critical global public health issue. ASD is believed to arise from a combination of genetic and environmental influences.
View Article and Find Full Text PDFArtificial intelligence automated solution for hazard annotation and eye tracking in a simulated environment.
Accid Anal Prev
August 2025
Institute for Social Science Research, University of Alabama, 306 Paul W. Bryant Drive East, Tuscaloosa, AL 35401, USA. Electronic address:
High-fidelity simulators and sensors are commonly used in research to create immersive environments for studying real-world problems. This setup records detailed data, generating large datasets. In driving research, a full-scale car model repurposed as a driving simulator allows human subjects to navigate realistic driving scenarios.
View Article and Find Full Text PDF