A method for predicting background advertisement exposure parameters in sporting events: Televised football game approach


Autoři: Yi Xiao aff001;  Collins John aff002;  Xiaoling Ren aff001;  Pei Zhang aff001
Působiště autorů: School of Economics and Management, Shanghai University of Sport, Shanghai, China aff001;  Kinesiology, Health Promotion and Recreation Department, University of North Texas, Denton, Texas, United States of America aff002
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223662

Souhrn

Background

The background advertisement exposure parameters (BAEP) forms a premise for sponsorship negotiation and the basis for estimating the sponsorship value of background advertising. Prediction of the BAEP has a great contribution to the sporting events organizers and sponsors in terms of negotiating, decision-making for bidding, and income-generating.

Methods

Virtual Reality (VR), technology was utilized to construct a virtual three-dimensional model of the sports venue and simulate the telecast of the event. Based on VR technology and computer graphics theory, a pre-event prediction method for estimating the background advertisement exposure parameters of sporting events was put forward. The pre and post measures of the thirty BAEP of televised football games were compared to verify the effectiveness of the prediction method.

Results

There was no significant difference between the pre- and post-measurement results for the same football game. The pre- and post-measurement results of the thirty BAEP of televised football games were tightly matched.

Conclusions

Using the prediction method can predict the BAEP of televised football games effectively and overcomes the shortcomings of current prediction methods that inhibits the effectiveness of the prediction of exposure parameters due to changes such as the type of the sporting events, the size of the sports venue, the layout of the background advertisements, and the placement of the television cameras, etc.

Klíčová slova:

Algorithms – Cameras – Decision making – Forecasting – Sports – Video games – Advertising – Computer graphics


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Článek vyšel v časopise

PLOS One


2019 Číslo 10