Dynamic and adaptive systems and methods for rewarding and/or disincentivizing behaviors
AssigneeConquer Your Addiction LLC
InventorsDavid H. Williams, Adam H. Williams
Life of this patent
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Abstract
The present disclosure generally relates to dynamic and adaptive systems and methods for rewarding and/or disincentivizing behaviors.
Claims35
A system comprising a plurality of different devices, sensors, sensor arrays, and/or communications networks, the system configured to determine, through a plurality of measurements/readings taken by the plurality of different devices, sensors, sensor arrays, and/or communications networks and/or inferred through information from system inputs, behavior(s) of at least one entity and context(s) associated with the behavior(s) of the at least one entity, and wherein:
- the system is further configured to dynamically and adaptively determine a reward for incentivizing behavior and context of the at least one entity and facilitate redemption of the reward;
- and/or
- the system is further configured to dynamically and adaptively determine a disincentive for disincentivizing behavior and context of the at least one entity and facilitate redemption of the disincentive;
- and wherein the system is configured to assess, evaluate, and predict a risk of a future occurrence(s) of a behavior(s) within a predetermined time frame and associated context(s) by the at least one entity;
- and wherein:
- the system is configured to dynamically and adaptively determine the reward to incentivize behavior and context that lowers the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs;
- and
- the system is configured to dynamically and adaptively determine the disincentive to disincentivize behavior and context that increases the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs.
A method comprising determining, via a plurality of measurements/readings taken by a plurality of different devices, sensors, sensor arrays, and/or communications networks and/or inferred through information from inputs, behavior(s) of at least one entity and context(s) associated with the behavior(s) of the at least one entity;
- and assessing, evaluating, and predicting a risk of a future occurrence(s) of a behavior(s) within a predetermined time frame and associated context(s) by the at least one entity, wherein the method further comprises:
- dynamically and adaptively determining a reward for incentivizing behavior and context of the at least one entity that lowers the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs and facilitating redemption of the reward;
- and
- dynamically and adaptively determining a disincentive for disincentivizing behavior and context of the at least one entity that increases the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs and facilitating redemption of the disincentive.
A non-transitory computer-readable storage media comprising computer-executable instructions, which when executed by at least one processor, cause the at least one processor to determine, through a plurality of measurements/readings taken by a plurality of different devices, sensors, sensor arrays, and/or communications networks and/or inferred through information from system inputs, behavior(s) of at least one entity and context(s) associated with the behavior(s) of the at least one entity, and to assess, evaluate, and predict a risk of a future occurrence(s) of a behavior(s) within a predetermined time frame and associated context(s) by the at least one entity, and cause the at least one processor to:
- dynamically and adaptively determine a reward for incentivizing behavior and context of the at least one entity that lowers the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs and facilitate redemption of the reward;
- and
- dynamically and adaptively determine a disincentive for disincentivizing behavior and context of the at least one entity that increases the risk of a future occurrence(s) of the behavior(s) by the at least one entity before the behavior(s) occurs and facilitate redemption of the disincentive.
Dependencies are inferred from the claim text.