Privacy Negotiation Bots for Mixed Reality Data Access
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Solution Overview
Problem
In mixed reality environments, users face privacy concerns as providers seek to maximize user data for personalized experiences, leading to potential privacy leaks and misuse of sensitive information, while existing static permission settings are inadequate to balance user privacy and data sharing.
Innovation Solution
A system and method using negotiation bots (MRD BOT and App BOT) that dynamically assess privacy leak scores and personalization scores, allowing for adaptive data access negotiations based on user preferences, context, and incentives to minimize privacy leaks while maximizing data personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If providers acquire as much user information as possible for personalized experiences, then personalization quality is improved, but user privacy is compromised
Solution Approach 1:
The patent implements dynamic permission management where users can adjust their data sharing preferences in real-time through a slider interface. The system transitions from static all-or-nothing permission models to dynamic continuous adjustment, allowing users to optimize the balance between personalization quality and privacy protection according to their current needs and context.
Solution Approach 2:
The system changes the parameter of data access permission from binary (granted/not granted) to a continuous spectrum. By introducing a slider mechanism, the patent transforms the permission parameter into an adjustable variable that can take any value between complete privacy protection and full data access, enabling fine-grained control over the personalization-privacy tradeoff.
2Device complexity
If static permission settings are used for data access, then system complexity is reduced, but ability to balance user privacy and data sharing is insufficient
Solution Approach 1:
The patent empowers users to self-manage their own privacy preferences through an intuitive slider interface. Instead of requiring complex system configurations or developer interventions, users can independently adjust their data sharing levels according to their preferences. The system automatically adapts to user choices without requiring complex manual configuration.
Solution Approach 2:
The system replaces static permission settings with dynamic adjustable controls. The slider mechanism allows users to change their privacy preferences at any time without system reconfiguration, transforming the permission management from a fixed complex setup into a simple dynamic adjustment process that users can control effortlessly.
Data Source
AI summary
An application (App)-BOT, scans a context of a user of an application and obtains current scanned user data. The App BOT determines a set of user information entities from the scanned user data containing current information about the user. In a negotiation phase, the App BOT a data access request offer from a mixed reality data (MRD)-BOT. A privacy leak score is estimated that represents a user value attributed to the permission to access the labelled user information entity based on the data access request offer. Responsive to determining that the privacy leak score exceeds a privacy leak score threshold, an acceptance of the data access request offer is sent to the MRD BOT and providing access requested by the data access request. Otherwise, a counteroffer is sent to the offer to the MRD BOT.