IoT Device Settings Adjustment via User Ability Baseline Monitoring
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Solution Overview
Problem
IoT devices require manual adjustments of settings by users as their abilities change, such as vision or hearing, which can be inconvenient and inefficient, especially when multiple devices need similar settings modifications.
Innovation Solution
A centralized system detects changes in user abilities by monitoring interactions with IoT devices, determining an ability baseline, and automatically adjusts settings on connected devices, propagating these changes across the network to ensure consistent user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments of IoT device settings are required when user abilities change, then users can maintain control over device configurations, but user convenience deteriorates and time consumption increases
Solution Approach 1:
The system automatically detects changes in user abilities through monitoring interactions with IoT devices and autonomously adjusts device settings without requiring user intervention. The processor determines ability baselines, monitors for changes, and propagates setting adjustments across devices, enabling the system to serve itself in adapting to user needs.
Solution Approach 2:
The system continuously monitors user interactions with IoT devices to detect changes in ability baselines. By analyzing interaction patterns and feedback from users, the system identifies when adjustments are needed and automatically modifies settings, creating a closed-loop feedback mechanism that adapts to user needs over time.
2Adaptability or versatility
If multiple IoT devices require individual setting adjustments when user abilities change, then each device can be optimized for user needs, but device complexity and adjustment effort increase
Solution Approach 1:
The system establishes a single ability baseline that serves as a universal reference for adjusting settings across multiple IoT devices. When a change in ability is detected, the processor propagates the adjustment to all relevant devices simultaneously, allowing one setting change to affect multiple devices and reducing the complexity of managing individual device configurations.
Solution Approach 2:
The system combines the management of multiple device settings into a unified process. Instead of adjusting each device separately, the processor consolidates setting adjustments and propagates them across the device ecosystem in a single operation, merging what would otherwise be multiple discrete tasks into one coordinated action.
3Extent of automation
If automated detection and adjustment of settings is implemented, then user convenience improves and time is saved, but system complexity increases
Solution Approach 1:
The system automatically monitors user interactions, detects ability baseline changes, and adjusts device settings without external intervention. The processor performs all detection, analysis, and adjustment operations autonomously, allowing the system to self-manage the complexity of automation while providing users with a simple, convenient interface.
Data Source
AI summary
Provided is a method, computer program product, and system for modifying IoT device settings based on changes in user abilities. A processor may detect a plurality of IoT devices associated with one or more users. The processor may determine an ability baseline for the one or more users when interacting with the plurality of IoT devices. The processor may monitor interactions of the one or more users with the plurality of IoT devices. The processor may detect a change in the ability baseline for the one or more users when interacting with at least one IoT device of the plurality of IoT devices. In response to detecting the change, the processor may adjust one or more settings related to the at least one IoT device. The processor may propagate the adjustment to the one or more settings of the IoT device to the other IoT devices of the plurality.