ENHANCED SEAT SELECTION
Methods and systems for improving seat selection at a venue are described. The methods and systems help users understand how good a view they will have of a performance or event and/or how enjoyable an experience they will have before they purchase a ticket. A user selects a seat and is able to access relevant traits of people who purchased seats proximate to the selected seat. Relevant traits include physical features such as height, weight, build, etc., and behavior information, such as how noisy or quiet the person is.
1 . A method comprising:
receiving a selection for a first seat at a venue from a user device of a first user;
determining at least one behavioral characteristic of a second user who purchased a ticket for a second seat positioned within a particular distance of the first seat;
providing information associated with the at least one behavioral characteristic of the second user to the user device; and
facilitating purchase of a ticket for the first seat based on providing the information.
2 . The method of claim 1 , further comprising:
determining at least one behavioral characteristic associated with the first user; and
determining a compatibility between the first user and the second user by comparing the at least one behavioral characteristic of the first user with the at least one behavioral characteristic of the second user.
3 . The method of claim 2 , wherein determining the at least one behavioral characteristic associated with the first user further comprises:
obtaining an experience preference of the first user.
4 . The method of claim 1 , wherein determining the at least one behavioral characteristic of the second user further comprises:
obtaining the at least one behavioral characteristic from a database, wherein the at least one behavioral characteristic is previously obtained and stored in association with the second user.
5 . The method of claim 4 , wherein previously obtaining the at least one behavioral characteristic of the second user further comprises:
obtaining the at least one behavioral characteristic of the second user at a previous event by way of at least one of: a motion detector, an accelerometer, a gyroscope, a voice sensor, an optical sensor, or a combination thereof.
6 . The method of claim 4 , wherein previously obtaining the at least one behavioral characteristic of the second user further comprises:
analyzing the at least one behavioral characteristic of the second user obtained at a previous event; and
determining that the at least one behavioral characteristic of the second user obtained at the previous event would have a negative impact on the first user.
7 . The method of claim 4 , wherein previously obtaining the at least one behavioral characteristic of the second user further comprises:
analyzing the at least one behavioral characteristic of the second user obtained at a previous event; and
determining that the at least one behavioral characteristic of the second user obtained at the previous event would have a positive impact on the first user.
8 . A system comprising:
at least one processing element configured to perform operations comprising:
receive a selection for a first seat at a venue from a user device of a first user;
determine at least one behavioral characteristic of a second user who purchased a ticket for a second seat positioned within a particular distance of the first seat;
provide information associated with the at least one behavioral characteristic of the second user to the user device; and
facilitate purchase of a ticket for the first seat based on providing the information.
9 . The system of claim 8 , wherein the operations further comprise:
determining at least one behavioral characteristic associated with the first user; and
determining a compatibility between the first user and the second user by comparing the at least one behavioral characteristic of the first user with the at least one behavioral characteristic of the second user.
10 . The system of claim 9 , wherein the operation of determining the at least one behavioral characteristic associated with the first user further comprises:
obtaining an experience preference of the first user.
11 . The system of claim 8 , wherein the operation of determining the at least one behavioral characteristic of the second user further comprises:
obtaining the at least one behavioral characteristic from a database, wherein the at least one behavioral characteristic is previously obtained and stored in association with the second user.
12 . The system of claim 11 , wherein the operations further comprise:
obtaining the at least one behavioral characteristic of the second user at a previous event by way of at least one of: a motion detector, an accelerometer, a gyroscope, a voice sensor, an optical sensor, or a combination thereof.
13 . The system of claim 11 , wherein the operations further comprise:
analyzing the at least one behavioral characteristic of the second user obtained at a previous event; and
determining that the at least one behavioral characteristic of the second user obtained at the previous event would have a negative impact on the first user.
14 . The system of claim 11 , wherein the operations further comprise:
analyzing the at least one behavioral characteristic of the second user obtained at a previous event; and
determining that the at least one behavioral characteristic of the second user obtained at the previous event would have a positive impact on the first user.
15 . One or more non-transitory computer-readable media storing one or more programs that are configured, when executed, to cause one or more machines to perform operations comprising:
receiving a selection for a first seat at a venue from a user device of a first user;
determining at least one behavioral characteristic of a second user who purchased a ticket for a second seat positioned within a particular distance of the first seat;
providing information associated with the at least one behavioral characteristic of the second user to the user device; and
facilitating purchase of a ticket for the first seat based on providing the information.
16 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:
determining at least one behavioral characteristic associated with the first user; and
determining a compatibility between the first user and the second user by comparing the at least one behavioral characteristic of the first user with the at least one behavioral characteristic of the second user.
17 . The non-transitory computer-readable medium of claim 16 , wherein determining the at least one behavioral characteristic associated with the first user further comprises:
obtaining an experience preference of the first user.
18 . The non-transitory computer-readable medium of claim 15 , wherein determining the at least one behavioral characteristic of the second user further comprises:
obtaining the at least one behavioral characteristic from a database, wherein the at least one behavioral characteristic is previously obtained and stored in association with the second user.
19 . The non-transitory computer-readable medium of claim 18 , wherein previously obtaining the at least one behavioral characteristic of the second user further comprises:
obtaining the at least one behavioral characteristic of the second user at a previous event by way of at least one of: a motion detector, an accelerometer, a gyroscope, a voice sensor, an optical sensor, or a combination thereof.
20 . The non-transitory computer-readable medium of claim 18 , wherein previously obtaining the at least one behavioral characteristic of the second user further comprises:
analyzing the at least one behavioral characteristic of the second user obtained at a previous event; and
determining that the at least one behavioral characteristic of the second user obtained at the previous event would have a negative impact or a positive impact on the first user.