Mobile Participation Platform for Targeted Data Collection
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Solution Overview
Problem
Current crowdsourcing systems for mobile devices are inefficient as they indiscriminately solicit contributions, leading to battery power and data charge issues, increased network load, and lack of targeted data collection, especially for transient conditions.
Innovation Solution
A mobile participation platform that utilizes communication networks to selectively solicit and collect data from anonymous contributors based on proximity and time-specific criteria, using a contributor registry and participation client to validate responses without revealing identities, allowing for targeted data collection during transient events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If crowdsourcing systems indiscriminately accept participation from all mobile device users, then the system can gather more potential contributors, but it increases battery power consumption, data charges, and network load
Solution Approach 1:
The system applies different participation conditions to different users based on their location relative to the target area. Only users within or near the geographic boundaries of the transient condition receive solicitation messages, while users outside this area are excluded. This spatial differentiation of participation quality reduces unnecessary battery consumption and network traffic for users who cannot possibly contribute relevant data.
Solution Approach 2:
The system performs preliminary location verification against the transient condition's geographic boundaries before sending solicitation messages. By pre-filtering users based on their current location relative to the target area, the system avoids wasting battery power and network resources on users who are not in the relevant location, thus resolving the contradiction between gathering contributors and conserving energy.
2Quantity of substance
If crowdsourcing systems send solicitation messages to all users, then more data can be collected, but network load and data charges increase
Solution Approach 1:
The system restricts data collection efforts to only those users located within or near the geographic boundaries of the transient condition. This localized approach ensures that network resources are spent only on soliciting and collecting data from users who can actually provide relevant information, thereby reducing overall network load and data charges while maintaining effective data collection volume.
Solution Approach 2:
The system defines a geographic boundary that may extend beyond the precise location of the transient condition, creating a buffer zone for solicitation. This partial expansion of the target area ensures adequate data collection coverage while avoiding the excessive action of contacting all users globally, thus optimizing the balance between data volume collected and network resources consumed.
3Adaptability or versatility
If crowdsourcing systems solicit all users regardless of location, then participation opportunities are maximized, but the system cannot efficiently target contributors for transient conditions
Solution Approach 1:
The system dynamically adapts solicitation targets based on the specific transient condition's geographic boundaries and the real-time locations of mobile devices. Rather than using a static all-users approach, the system continuously adjusts which users are solicited based on their proximity to the transient condition, thereby maintaining high participation opportunities for relevant users while achieving efficient data collection for each specific event.
Solution Approach 2:
The system provides differentiated participation opportunities based on local geographic conditions. Users within the boundary of a transient condition receive targeted solicitation and can participate in location-specific data collection, while users outside the boundary are excluded from those particular solicitations. This local differentiation maintains adaptability to various transient conditions while significantly improving data collection efficiency by focusing resources on relevant contributors.
4Reliability
If the system validates contributor identities to ensure data integrity, then data quality improves, but contributor privacy is compromised
Solution Approach 1:
The system introduces geographic location data as an intermediary validation mechanism. Instead of directly verifying contributor identities through personal information, the system uses the mobile device's location relative to the transient condition's boundary as an objective, privacy-preserving criterion to determine eligibility. This intermediary approach ensures data integrity by confirming the contributor was present at the relevant location while maintaining contributor privacy by not exposing personal identifying information.
Data Source
AI summary
A mobile participation platform enables a wireless network operator or third party to solicit response data related to a specific time and location specific event by signaling multiple mobile device users that meet predefined qualifications. The qualifications include presence at the specific location at the specific time, and may include other characteristics, such as prior consent to receive solicitations, and particular device type or data collection functionality. The platform locates mobile devices that may qualify for participation, and generates and transmits a solicitation. Mobile devices receiving the solicitation may activate a participation client to acknowledge the solicitation and to contribute by submitting the requested response data, which may include photos, text, sensor data, audio, video and the like. The qualifications are verified, the response data is validated, and anonymity and privacy are maintained by associating the mobile device and other pertinent non-identifying information with an encrypted identifier.