Interactive Kiosk Personalization With User Detection and Low-Power Operation
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Solution Overview
Problem
Conventional informational kiosks lack personalization, engagement, and autonomy, leading to inefficient energy use and static interactions, failing to effectively engage users in dynamic environments.
Innovation Solution
Implementing a smart kiosk with a spatial location module, user detection module, and content personalization engine using machine learning to determine user interactions and tailor content, enabling dynamic and personalized displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional informational kiosks are used, then device complexity is reduced and ease of operation is improved, but user engagement and personalization are insufficient
Solution Approach 1:
The kiosk autonomously detects users via cameras and sensors, automatically determines their identity and preferences, and personalizes content without requiring manual configuration. The system self-manages user detection, content selection, and display adjustment, eliminating the need for operators while delivering personalized experiences.
Solution Approach 2:
Manual operation and administrative control are replaced by automated machine learning systems. The ML model analyzes user data and generates personalized content dynamically, substituting human decision-making with algorithmic processing. This reduces operational complexity while enhancing adaptability to individual users.
2Use of energy by moving object
If manual operation is used, then ease of operation is maintained, but energy efficiency and autonomy deteriorate
Solution Approach 1:
The kiosk autonomously manages its own operation including user detection, content personalization, and energy management. The system activates display components only when users are detected and automatically adjusts power states based on activity levels, achieving both high autonomy and energy efficiency without manual intervention.
Solution Approach 2:
The kiosk employs periodic user detection through cameras and sensors, activating full functionality only during user presence. Between user interactions, the system enters low-power states, creating a periodic operational pattern that reduces overall energy consumption while maintaining readiness for user engagement.
3Adaptability or versatility
If static interactions are provided, then device complexity is reduced, but user engagement and effectiveness deteriorate
Solution Approach 1:
The kiosk transitions from static displays to dynamic, adaptive content delivery. The system continuously adjusts displayed information based on real-time user detection, movement analysis, and preference inference. Display content, positioning, and interaction modes change dynamically in response to user behavior, creating engaging and personalized experiences.
Solution Approach 2:
Manual content updates and static information delivery are replaced by machine learning-driven dynamic content generation. The ML system automatically analyzes user characteristics and generates personalized content in real-time, substituting static displays with adaptive, context-aware information delivery without requiring human operators.
4Adaptability or versatility
If personalization is implemented, then user engagement is improved, but device complexity and energy use increase
Solution Approach 1:
The kiosk performs intensive personalization processing only during user presence, using periodic detection cycles to identify and engage users. Between interactions, the system enters low-power modes, concentrating computational energy expenditure on personalized content generation only when needed, thereby reducing overall energy consumption while maintaining personalization capabilities.
Data Source
AI summary
Disclosed is a system, including: a motorized base including a first surface disposed at a top of the motorized base; one or more integrated display devices; a second surface disposed proximate to the one or more integrated display devices; one or more interactive elements disposed on at least one of the first surface and the second surface; a spatial location module configured to determine a current location of the system and a destination location of the system; a user detection module configured to detect a user approaching the system; and a content personalization engine configured to determine content to be displayed on the one or more integrated display devices and the one or more output display devices.


