Systems and methods for dynamically educating users on sports terminology
Systems and methods are described for a media guidance application (e.g., implemented on a user device) that explains sports terminology to a user accessing content that corresponds to a sporting event. The media guidance application may detect terms used in the content, determine the terms are unique to the sport, and display definitions and explanations alongside the terms.
1. A method for educating a user about a sporting event, the method comprising:
detecting that a user is accessing content associated with a sporting event;
processing metadata associated with the accessed content to identify a term or concept related to the sporting event;
determining an education level of the user, wherein the education level is based on the frequency, recency, and duration of interactions with content related to a specific sport associated with the sporting event;
generating a tailored explanation of the identified term or concept; and
presenting the tailored explanation to the user while the user accesses the content.
2. The method of claim 1 , wherein the explanation for the term is transmitted to a user's secondary device.
3. The method of claim 1 , further comprising:
transmitting the detected term to a user's associated social network;
receiving input from users of the social network that provides an explanation for the term; and
generating an explanation for the term based on common elements in the received input.
4. The method of claim 3 , wherein the generated explanation is based on the received input with the highest number of acknowledgments on the social network.
5. The method of claim 1 , wherein the sporting event is a live event, the method further comprising:
determining whether closed captioning is available for the event
extracting and cross-referencing terms from the closed captioning data with a sports database to identify terms unique to the specific type of sporting event;
updating the tailored explanation and its presentation based on the terms identified.
6. The method of claim 1 , further comprising:
using computer vision techniques to identify metrics displayed during a sports event broadcast; and
modifying the display of these metrics based on the user's assessed education level.
7. The method of claim 6 , wherein modifying the display of metrics comprises removing metrics from the display based on their importance and the user's assessed education level.
8. The method of claim 7 , further comprising:
replacing removed metrics on the display with trivia or fun facts related to the sport or remaining metrics.
9. The method of claim 7 , wherein metrics removed from the display are sent to a secondary device of the user.
10. The method of claim 1 , further comprising:
receiving input from the user that identifies a set of experts on the social network; and
referring to these experts when generating explanations for detected terms.
11. A system for educating a user about a sporting event, the system comprising control circuitry configured to:
detect that a user is accessing content associated with a sporting event;
process metadata associated with the accessed content to identify a term or concept related to the sporting event;
determine an education level of the user, wherein the education level is based on the frequency, recency, and duration of interactions with content related to a specific sport associated with the sporting event;
generate a tailored explanation of the identified term or concept; and
present the tailored explanation to the user while the user accesses the content.
12. The system of claim 11 , wherein the control circuitry is further configured to transmit the explanation for the term to a user's secondary device.
13. The system of claim 11 , wherein the control circuitry is further configured to:
transmit the detected term to a user's associated social network;
receive input from users of the social network that provides an explanation for the term; and
generate an explanation for the term based on common elements in the received input.
14. The system of claim 13 , wherein the control circuitry generates the explanation based on the received input with the highest number of acknowledgments on the social network.
15. The system of claim 11 , wherein the control circuitry, in instances where the sporting event is a live event, is further configured to:
determine whether closed captioning is available for the event;
extract and cross-reference terms from the closed captioning data with a sports database to identify terms unique to the specific type of sporting event;
update the tailored explanation and its presentation based on the terms identified.
16. The system of claim 11 , wherein the control circuitry is further configured to:
use computer vision techniques to identify metrics displayed during a sports event broadcast; and
modify the display of these metrics based on the user's assessed education level.
17. The system of claim 16 , wherein the control circuitry, while modifying the display of metrics, removes metrics from the display based on their importance and the user's assessed education level.
18. The system of claim 17 , wherein the control circuitry is further configured to replace removed metrics on the display with trivia or fun facts related to the sport or remaining metrics.
19. The system of claim 17 , wherein the control circuitry sends metrics removed from the display to a secondary device of the user through a network interface.
20. The system of claim 11 , wherein the control circuitry is further configured to:
receive input from the user that identifies a set of experts on the social network; and
refer to these experts when generating explanations for detected terms.