Gaze Enabled Collaborative Intelligence System
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Solution Overview
Problem
Current portable computing devices lack tools and methods to enable real-time group collaboration, allowing individuals to contribute their intent to a collective consciousness and express a group-wise will, which is essential for collaborative intelligence.
Innovation Solution
A real-time collaborative control system comprising portable computing devices with a collaborative intent application and a central collaboration server that processes user intent vectors to determine a group intent vector, displayed back to users, creating a closed-loop system for collective decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If portable computing devices are used for individual information access and communication, then personal device functionality is improved, but real-time group collaboration capability deteriorates
Solution Approach 1:
The patent transforms portable computing devices from single-user information access tools into multi-functional platforms that simultaneously support individual device operations and real-time group collaboration. The collaborative consciousness system enables devices to function both as personal computing units and as nodes in a collective intelligence network, allowing users to maintain personal device capabilities while gaining access to group-wise intent and collaborative decision-making features.
2Productivity
If individual user inputs are collected and processed in real-time, then collaborative intelligence is improved, but system complexity deteriorates
Solution Approach 1:
The patent introduces a server as an intermediary component that centralizes the complex tasks of collecting, processing, and synthesizing multiple user inputs in real-time. The server acts as a mediator between individual portable devices and the collaborative consciousness system, handling the computational complexity of aggregating user intent vectors while keeping individual device complexity low. This intermediary architecture enables high-level collaborative intelligence without burdening individual devices with complex processing requirements.
3Speed
If real-time processing of user intent vectors is implemented, then responsiveness of collaborative decision-making is improved, but computational resources required deteriorates
Solution Approach 1:
The patent segments the computational workload by dividing the collaborative consciousness system into distributed components across multiple portable devices and a centralized server. Each device independently processes local user input and maintains its own operational state, while the server handles aggregate processing of group intent vectors. This segmentation allows real-time responsiveness at the individual device level while distributing the heavier computational burden of real-time group intent synthesis across the entire system architecture, reducing the energy and computational resource demands on any single component.
Data Source
AI summary
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.