Crowd-Aware Content Sharing on Mobile Displays
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Solution Overview
Problem
Current systems require manual interaction to connect with public displays and do not utilize crowd detection for information sharing, failing to seamlessly connect mobile devices to larger displays or other devices for content sharing, especially in situations where multiple people are present.
Innovation Solution
A mobile device with a camera and crowd detection module estimates the number of people interacting, detecting available devices in proximity and constructing a list for content sharing when the crowd exceeds a threshold, using sensors and modules for seamless transmission of content to nearby displays or printers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual connection methods are used to connect mobile devices with public displays, then connection reliability is improved, but ease of operation deteriorates due to requiring manual initiation and configuration
Solution Approach 1:
The system performs preliminary actions by pre-scanning for available displays and pre-establishing connection parameters before the user needs to share content. The mobile device automatically detects nearby displays and prepares connection settings in advance, so when the user initiates content sharing, the connection process is already prepared and requires minimal user input.
Solution Approach 2:
The system enables self-service by allowing the mobile device to automatically detect, select, and connect to appropriate displays without manual user configuration. The device autonomously manages the connection process including selecting optimal display parameters, establishing communication channels, and switching between multiple displays based on crowd detection, freeing the user from manual operational tasks.
2Productivity
If crowd detection is implemented to enable automatic content sharing, then productivity is improved through seamless information sharing, but device complexity increases due to adding crowd detection modules and automated connection logic
Solution Approach 1:
The mobile device leverages its existing multi-functional capabilities by using the camera for both photography and crowd detection, and the processor for both general computation and crowd analysis. The display module serves both as the primary screen and as a secondary display for crowd viewing. This multi-functionality approach enables crowd-based automatic content sharing without adding dedicated hardware components, thus avoiding increased device complexity.
Solution Approach 2:
The system introduces a software-based intermediary layer that acts as a mediator between the user, the mobile device, and the display system. This intermediary software module handles crowd detection logic, display selection algorithms, and connection management, abstracting the complexity from the hardware level and enabling automatic content sharing through software intelligence rather than complex hardware additions.
3Device complexity
If the device passively waits for user commands to transmit content, then device complexity is minimized, but ease of operation deteriorates due to lack of automated content sharing
Solution Approach 1:
The device performs preliminary actions by continuously monitoring the environment for displays and crowd conditions in the background before the user needs to share content. When the user opens a document or application, the system has already detected suitable displays and prepared connection parameters, enabling automatic content sharing without requiring the device to wait for explicit user transmission commands.
Solution Approach 2:
The device enables self-service by automatically initiating content transmission when crowd conditions are detected, without requiring the user to manually command the transmission. The system autonomously determines when content sharing is appropriate based on detected crowd presence and automatically executes the sharing process, making the device serve itself and the user without requiring detailed operational commands.
Data Source
AI summary
Systems and methods directed to detecting crowds and sharing content based on the devices in proximity to the detected crowd. Systems and methods may utilize a camera included in most mobile devices to estimate how many people are involved in an interaction with the mobile device. Depending on the number of people detected, the systems and methods may invoke appropriate actions. Appropriate actions may involve sharing information by various methods, such as sharing content on a large display, printing or emailing documents. The systems and methods may also be extended to generally detecting a crowd in proximity to a device, and invoking appropriate actions based on the number of people detected.