Contextual Tagging for Mobile Information Organization
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Solution Overview
Problem
Consumers face challenges in efficiently tagging large amounts of information, such as images and audio recordings, acquired by mobile devices, as the 'shoot and sort' approach requires remembering context details, which can be burdensome and distracting, leading to inefficient organization and tagging processes.
Innovation Solution
A system that allows users to set contextual criteria for tagging information prior to acquisition, using context information from the device and user, such as location and time, to automatically associate tags with acquired data, enabling efficient and automated tagging during the primary activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually tag information after acquisition using the 'shoot and sort' approach, then tagging can be performed with simple device functionality, but users must remember context details which increases cognitive burden and reduces efficiency
Solution Approach 1:
The system performs preliminary actions by automatically tagging information at the moment of acquisition using contextual data (location, time, device state) without requiring user intervention. This eliminates the need for users to remember context details later and performs the tagging operation immediately when context information is available, resolving the contradiction between ease of operation and time loss.
Solution Approach 2:
The system enables self-service tagging by automatically associating tags with acquired information based on contextual criteria without user involvement. The device monitors its own state and environment, then autonomously performs tagging, eliminating the cognitive burden on users while maintaining efficient organization.
2Ease of manufacture
If users manually tag large amounts of information, then tagging can be done with basic device capabilities, but the process becomes burdensome and distracting from the primary activity
Solution Approach 1:
The system implements self-service by automatically performing tagging operations based on contextual information from sensors and device state. This eliminates the need for users to manually organize large amounts of information, removing the burden and distraction while significantly improving productivity in information organization.
Solution Approach 2:
The patent replaces the manual mechanical process of user-based tagging with an automated electronic system that uses contextual sensors and algorithms to perform tagging. This substitution eliminates the burdensome manual process while maintaining ease of system implementation through software-based solutions.
3Productivity
If automatic tagging based on contextual criteria is implemented, then tagging efficiency is improved and user burden is reduced, but system complexity increases
Solution Approach 1:
The system achieves universality by using existing multi-functional device components (sensors, processors, communication modules) for automatic tagging. Rather than adding dedicated tagging hardware, the patent leverages the device's existing capabilities to perform contextual analysis and tagging, improving productivity without proportionally increasing complexity.
Solution Approach 2:
The patent introduces a software-based intermediary layer that processes contextual information from various device components and generates tags. This intermediary approach allows the system to achieve high tagging efficiency by coordinating existing device functions without requiring complex hardware modifications, thus managing system complexity while improving productivity.
Data Source
AI summary
An approach is provided for tagging information based on contextual criteria. A tagging platform determines at least one criteria for associating information acquired by a device with at least one tag. The tagging platform also processes and/or facilitates a processing of context information of the device, a user of the device, or a combination thereof to determine a state of the at least one criteria. The tagging platform further causes, at least in part, an association of the at least one tag with the information based, at least in part, on the state of the at least one criteria. Such an approach allows for configuring the tagging of information prior to or upon initially acquiring the information.