Media Guidance Control Using IoT Object Status Detection
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Solution Overview
Problem
Conventional media consumption systems lack the ability to accurately adjust settings based on changes in a user's environment beyond sensor inputs or device-specific content, leading to inefficient and user-inconvenient manual adjustments.
Innovation Solution
A media guidance application that communicates with IoT devices to detect changes in a user's environment, determines the status of objects using sensors, and adjusts media consumption devices accordingly, leveraging a network-connected device database to ensure accurate environmental condition detection and device settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems use embedded sensors within media consumption devices to automatically adjust settings, then the ease of operation is improved, but the measurement precision and environmental awareness are limited to device-specific inputs only
Solution Approach 1:
The system extends environmental monitoring beyond device-specific sensors to include multiple IoT devices throughout the household (smart lights, thermostats, cameras, microphones). This multi-functional approach allows the media consumption device to receive environmental data from various sources, improving measurement precision while maintaining automatic adjustment capabilities.
Solution Approach 2:
The patent introduces a media guidance application as an intermediary that collects data from multiple IoT devices, processes environmental information, and translates it into appropriate media consumption settings. This mediator enables precise environmental detection by aggregating data from various sources and coordinating the automatic adjustment response.
2Measurement precision
If the system monitors multiple IoT devices and determines object status to identify environmental conditions, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The media guidance application serves as a central intermediary that manages communication between multiple IoT devices and the media consumption device. It consolidates environmental data from various sources, processes object status information, and generates appropriate control commands, thereby improving measurement precision while managing system complexity through centralized coordination.
Solution Approach 2:
The system merges multiple environmental monitoring functions into a unified media guidance application that handles data collection, processing, and device control. By combining these functions in a single intermediary system rather than distributing them across multiple devices, the patent improves environmental detection precision while avoiding the complexity of multiple independent control systems.
3Device complexity
If manual adjustment of media consumption settings is required to adapt to environmental changes, then the device complexity is reduced, but the ease of operation deteriorates
Solution Approach 1:
The system enables automatic self-adjustment of media consumption settings by monitoring environmental conditions through IoT devices and autonomously modifying device parameters. This self-service capability eliminates the need for manual user intervention, significantly improving ease of operation while the centralized media guidance application manages the complexity of environmental monitoring and decision-making.
Solution Approach 2:
The system implements a feedback loop where the media guidance application continuously monitors environmental conditions through IoT devices, compares current conditions with desired states, and automatically adjusts media consumption device settings accordingly. This closed-loop feedback mechanism provides automatic adaptation to environmental changes, improving ease of operation while the structured feedback process manages system complexity.
Data Source
AI summary
Systems and methods are described adjusting a media asset consumption environment based on detected changes in status of an object. For example, a media guidance application may detect a change in setting of a device in a first room and, in response to detecting the change in the setting, may determine the state of an object in the room. Based on the detected change in the setting and of the state of the object, the media guidance application may identify a setting for a media consumption device and may modify setting of the media consumption device so that it is consistent with the conditions defined by the change in the setting and the state of the object.