Sentient Environment Adapting to User Preferences
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Solution Overview
Problem
Current communication systems do not effectively adapt environments to individual preferences and behaviors of users, limiting personalized experiences in spaces like restaurants and retail stores.
Innovation Solution
A sentient environment connected to a wireless communication system that uses active and passive communications to adjust settings such as music, décor, and services based on user inputs and sensed behaviors, utilizing a gesture recognition system and personal profiles to tailor experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication systems provide location-based services and support various communication services, then service functionality is improved, but the system cannot adapt environments to individual user preferences and behaviors
Solution Approach 1:
The system continuously collects passive communication data from users (location, gestures, interactions) and uses this feedback to dynamically adapt the environment. The environment monitors user behavior patterns and adjusts settings such as lighting, temperature, and service recommendations based on accumulated feedback, creating a closed-loop system that improves adaptability over time.
Solution Approach 2:
The sentient environment automatically adapts to user preferences without requiring explicit user commands. The system self-adjusts environmental parameters and service offerings based on passive observation of user behavior, allowing the environment to serve itself in understanding and responding to user needs.
2Adaptability or versatility
If the sentient environment uses active and passive communications to adapt to user presence, then personalized experience is improved, but system complexity increases
Solution Approach 1:
The communication system serves multiple functions: it provides traditional location-based services, collects passive communication data for adaptability, and enables gesture recognition. By making the communication infrastructure multi-functional, the system avoids adding separate dedicated systems for each function, thereby managing complexity while achieving personalized experiences.
Solution Approach 2:
The patent combines active and passive communication capabilities into a unified sentient environment system. The gesture recognition system is integrated with the existing communication infrastructure rather than operating as a separate system, merging data collection and environmental adaptation functions into a cohesive architecture.
3Ease of operation
If the environment monitors user gestures and communications continuously, then user satisfaction is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic sampling of user communications and gestures rather than continuous monitoring. Passive communications are collected at intervals, and environmental adaptations are made based on accumulated data over time, reducing the energy burden of constant sensing while maintaining effective user satisfaction.
Solution Approach 2:
The system pre-processes and stores passive communication data as it is collected, preparing information in advance for later analysis and environmental adaptation. This preliminary action reduces the computational energy required at the moment of decision-making, as data is already organized and ready for processing when adaptation is needed.
Data Source
AI summary
An embodiment of the invention provides a sentient environment that adapts itself to a person present in the environment responsive to active and/or passive expressions of preferences by the person.