Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods for collaborative selection of a target point on an image displayed on the computing devices. Methods for collaborative zooming and panning of an image displayed on the computing devices.

Abstract: Systems and methods for user interfaces for use on a computing device of a real-time collaborative computing system. A collaborative application runs on the computing device and displays information and data regarding the collaboration system and also receives user input via the user interface. The display interface arrangement may vary based on a type of collaborative session. Graphical user interfaces include a user interface based on a magnetic force model.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for determining a group intent vector from a plurality of user intent vectors in response to user input, the group intent vector including a bias restoring vector to correct positional bias resulting from a target layout.

Abstract: Systems and methods are for enabling a population of individuals to collaboratively answer questions or otherwise express a collaborative intent by forming a real-time closed-loop system influenced at least in part, by human gaze input from a plurality of participants. The system comprises a plurality of computing devices connected to a central server, each of the computing devices being used by an individual user and configured to enable its user to contribute to the emerging group intelligence through their real-time gaze location. In some embodiments, gaze is used in combination with other input modalities.

Abstract: Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively answer questions or otherwise express a collaborative will/intent in real-time. The collaboration system comprises a plurality of computing devices, each of the devices being used by an individual user, each of the computing devices enabling its user to contribute to the emerging real-time group-wise intent. A collaboration server is disclosed that communicates remotely to the plurality of individual computing devices. Herein, a variety of inventive methods are disclosed for interfacing users in a real-time synchronized group-wise experience, and for deriving a convergent group intent from the collective user input.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for selection among a set of user-input suggestions. The group is divided into subgroups, each subgroup selecting one suggestion from a subgroup of suggestions. The process is repeated with the remaining selected suggestions until one final target is selected, by the entire group, from the remaining suggestions.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A hybrid swarm intelligence system includes a central collaboration server, a plurality of computing devices in communication with the central server, and an agent application in communication with the central server. In response to information sent from the central server during a group collaboration session, user input is sent to the central server via the computing devices, and machine input is given to the server via the agent application, which determines input based on rules, additional data, and/or machine learning techniques. The central server uses the user input and the machine input to repeatedly provide feedback to the agent application and users during the group collaboration session.

Abstract: Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively control a vehicle in real-time as a unified intelligence. The collaboration system comprises a plurality of computing devices, each of the devices being used by an individual user, each of the computing devices enabling its user to contribute to the emerging real-time group-wise intent. A collaboration server is disclosed that moderates the closed-loop system, enabling convergence upon a unified group intent. Control commands are repeatedly sent to the vehicle based on the determined group intent.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods are disclosed for, during a collaborative session, real-time changing of the amount of influence the user has on determining the collaborative answer.

Abstract: Systems and methods for eliciting from a user a probabilistic indication of the likelihood of two possible outcomes of a future event. During a session a user manipulates a wager marker on a graphical user interface displayed on a display, where the wager marker is moveable between two limits. Probabilities for each of the two limits are determined based on the position of the marker. Values representing the probabilities are updated on the interface in real time.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of portable computing devices. During repeated time-steps each portable computing device receives user input regarding a media item and sends an indication of the user input to the collaborative server. The collaborative application determines a Group Approval value based at least in part on the indications of the user inputs and sends an indication of the Group Approval value to the portable computing devices.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for suggestion modes wherein group users select one suggestion from a plurality of suggestions are disclosed, including systems and methods for multi-phase, multi-group suggestion mode embodiments. Methods for background swarming modes and reactivation of the group are also disclosed.

Abstract: Systems and methods for amplifying the intelligence of networked human populations, maximizing the accuracy of collaborative forecasts and group insights. This includes systems and methods for sending and presenting a forecasting query for a future event to a plurality of participants, each using a networked computing device, the forecasting query describing a future event to be collaboratively predicted by the population of human participants. An initial forecast response is collected from each participant and analyzed by a central server. A plurality of unique overlapping subsets of responses are determined by the server. Unique overlapping subsets of unique initial forecast responses are then displayed, at substantially the same time, on each computing device. A second forecast response is collected from each participant and a final forecast is determined.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods are disclosed for assigning users to factions during a collaborative decision process, wherein the collaborative server repeatedly checks the input of each user with respect to a plurality of proposed answers and assigns the user to the faction associated with the answer the user is trying to select. Furthermore, user assessments are made based on a stored time-history of faction associations for that user during a decision period.

Abstract: Systems and methods for obtaining dynamic behavioral data from a plurality of users of a plurality of computing devices in response to a stimuli, and using the dynamic behavioral data to make an optimized forecast regarding the outcome of a future event. During a first time period the system collects behavioral data of the user interaction with the dynamic user interface and a first displayed prompt, and then performs a perturbation analysis using the data collected during the first time period. A perturbation stimulus is displayed to the user, and during a second time period the user may additionally interact with the dynamic interface during a second time period, during which the system collects behavioral data of the user interaction during the second time period. The system determines a prediction based on data collected during at least one of the time periods from each of a plurality of users.

Abstract: Handheld weapons using tactile feedback to deliver silent status information are described. One embodiment comprises a handheld weapon comprising: a housing comprising a user contactable region, a tactile element coupled to the user contactable region, and an actuator coupled to the tactile element and capable of outputting a haptic sensation localized to the tactile element.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods for collaborative selection of a target point on an image displayed on the computing devices. Methods for collaborative zooming and panning of an image displayed on the computing devices.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for determining a group intent vector from a plurality of user intent vectors in response to user input, the group intent vector including a bias restoring vector to correct positional bias resulting from a target layout.

Abstract: System and method amplifying the accuracy of forecasts generated by software systems that harness the collective intelligence of human populations by curating optimized sub-populations through an intelligent selection process. Participants predict event outcomes and/or provide evaluations of their confidence in their predictions. The system determines an outlier score for each participant based on the participant's responses and the relation of the participant's responses to the predictions of the population as a whole. Participants can then be selected from the population based on the participant outlier scores.

Abstract: Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods for collaborative selection of a target point on an image displayed on the computing devices. Methods for collaborative zooming and panning of an image displayed on the computing devices.