Cell Phone Second Screen Media Interaction System
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Solution Overview
Problem
Existing technologies fail to provide an efficient and user-centric way to complement and enhance the viewing experience of media content across devices, particularly in inferring and providing auxiliary content based on user context and environment without disrupting the primary content experience.
Innovation Solution
A system that uses a cell phone to infer the user's media consumption by analyzing context data such as location, time, and viewing history, and provides auxiliary content through a second screen experience, allowing seamless interaction and content transfer between devices while maintaining the primary content experience intact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a cell phone is used to provide auxiliary content and interact with media playback, then the user experience is enhanced and made more immersive, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The system divides functionality between the media player device and the cell phone. The media player handles primary content playback while the cell phone provides auxiliary content and interaction capabilities. This segmentation allows each device to specialize, enhancing overall user experience without requiring one device to be overly complex.
Solution Approach 2:
The cell phone acts as an intermediary device between the user and the media player. It receives data from sensors (accelerometer, GPS, microphone) and translates this into auxiliary content or control signals for the media player, simplifying the interaction model while enhancing versatility.
2Measurement precision
If the system infers user context using multiple sensors and data sources, then the accuracy of auxiliary content delivery improves, but the loss of information increases due to the complexity of data processing and inference
Solution Approach 1:
The system performs preliminary actions by collecting and pre-processing data from multiple sensors (accelerometer, GPS, microphone) and data sources (viewing history, profile data) before inference is needed. This prepares the data in advance, improving inference accuracy while reducing the information processing burden during actual media playback.
Solution Approach 2:
The system uses feedback loops where the cell phone continuously monitors user context through sensors and adjusts auxiliary content delivery based on inferred state. This feedback mechanism improves measurement precision by continuously refining the understanding of user context while managing information loss through iterative validation.
3Productivity
If auxiliary content is provided during media playback, then user engagement increases, but the harmful factors increase due to potential disruption of the primary content experience
Solution Approach 1:
The system dynamically adjusts the delivery of auxiliary content based on the current media playback state and user context. Auxiliary content is provided in a dynamic manner that responds to user actions (e.g., pausing, seeking) and contextual cues (e.g., device orientation, location), increasing engagement while minimizing disruption to the primary content experience.
Solution Approach 2:
The system applies different qualities of auxiliary content delivery to different situations. Instead of uniformly providing auxiliary content, it tailors the type, timing, and manner of auxiliary content delivery to the specific context (e.g., providing trivia during slow-paced scenes, withholding during action sequences), thereby increasing engagement without causing disruption.
4Loss of information
If the system collects and processes multiple types of context data, then the relevance of auxiliary content improves, but the loss of time increases due to data collection and processing requirements
Solution Approach 1:
The system performs preliminary data collection and processing by continuously gathering context data from sensors and storing profile information in advance. This preliminary action ensures that when auxiliary content needs to be delivered, the relevant data is already processed and ready, improving content relevance while minimizing the time penalty during actual playback.
Data Source
AI summary
The present technology concerns cell phones and other portable devices, and more particularly concerns use of such devices in connection with media content (electronic and physical) and with other systems (e.g., televisions, digital video recorders, and electronic program directories). Some aspects of the technology allow users to easily transfer displayed content from cell phone screens onto a television screens for easier viewing, or vice versa for content portability. Others enable users to participate interactively in entertainment content, such as by submitting plot directions, audio input, character names, etc., yielding more engaging, immersive, user experiences. Still other aspects of the technology involve a program directory database, compiled automatically from information reported by network nodes that watch and identify content traffic passing into (and/or out of) networked computers. By identifying content resident at a number of different repositories (e.g., web sites, TV networks, P2P systems, etc.), such a directory allows cell phone users to identify the diversity of sources from which desired content can be obtained—some available on a scheduled basis, others available on demand. Depending on the application, the directory information may be transparent to the user—serving to identify sources for desired content, from which application software can pick for content downloading, based, e.g., on context and stored profile data. A great number of other features and arrangements are also detailed.