Dynamic systems for optimization of real-time collaborative intelligence
US-2016170594-A1 · Jun 16, 2016 · US
US11941239B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11941239-B2 |
| Application number | US-202217744479-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 13, 2022 |
| Priority date | Mar 26, 2014 |
| Publication date | Mar 26, 2024 |
| Grant date | Mar 26, 2024 |
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Systems and methods for amplifying the collective intelligence of networked human groups engaged in collaborative forecasting of future events having two possible outcomes. During a real-time session a computing device for each user displays a forecasting prompt and a dynamic user interface which includes a user-manipulatable marker moved by the user between a first limit and a second limit, where the position of the marker defines a forecasted probability of each possible outcome. The display also includes a first reward value and a second reward value, both of which are interactively responsive to the marker position. During a first time period, users manipulate the markers. After the first time period, a perturbation stimulus is displayed. During a second time period, users again manipulate the markers. After the second time period, a final group forecast is calculated based on the data collected during the first and second time periods.
Opening claim text (preview).
What is claimed is: 1. A system for forecasting a future event by aggregating input from a group of users, the system comprising: a plurality of computing devices, each including a graphical display, a user interface, a forecasting application running on the computing device, and configured for network communication, wherein each computing device is associated with one member of the group of users; a server in networked communication with each of the plurality of computing devices and including a server application running on the server, wherein the system is configured to: display, on each of the computing devices, a forecasting prompt and a dynamic user interface for capturing an associated user's dynamic response to the forecasting prompt, wherein the dynamic user interface includes: a user-manipulatable marker that can be moved by the associated user to input a forecasting value responsive to the forecasting prompt, provide a first forecasting period during which the associated user of each of the plurality of computing devices independently adjusts the user-manipulatable marker to set an initial forecasting value responsive to the forecasting prompt, said initial forecasting value collected and stored by the server from each of the plurality of computing devices as provided by each member of the group of users; after the first forecasting period has ended, display a perturbation stimulus on each of the plurality of computing devices, the perturbation stimulus based at least in part on data collected by the server from the plurality of computing devices during the first forecasting period; provide a second forecasting period following the display of the perturbation stimulus wherein the second forecasting period starts at substantially the same time for all members, during which the associated user of each of the plurality of computing devices adjusts their user-manipulatable marker to set an updated forecasting value responsive to the forecasting prompt, said updated forecasting value collected and stored by the server from each of the plurality of computing devices as provided by each member of the group of users; calculate an adjustment amount for each of the plurality of computing devices, the adjustment amount for each computing device indicating a change between the initial forecasting value and the updated forecasting value collected from that computing device in response to the perturbation stimulus; and after the second forecasting period has ended, calculate a final group forecast by aggregating data from the plurality of the computing devices, said calculating based at least in part on the adjustment amount computed for each of the plurality of the computing devices. 2. The system of claim 1 wherein the perturbation stimulus is based at least in part on the initial forecasting values collected from the plurality of computing devices. 3. The system of claim 1 wherein a different perturbation stimulus is provided to each of the plurality of computing devices, thereby providing a variety of perturbation stimuli across the group of users. 4. The system of claim 1 wherein the forecasting value is a probability. 5. The system of claim 1 wherein the forecasting value reflects a predicted score of a future sporting event. 6. The system of claim 1 wherein the calculating of the adjustment amount is based at least in part on a time delay between the perturbation stimulus and a detected adjustment of the user-manipulatable marker for each of at least a plurality of the plurality of computing devices.
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