Smart Feedback System Using Personalized Avatars
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Solution Overview
Problem
Traditional survey systems face challenges in motivating users to provide honest and complete feedback, leading to lower participation rates and quality of responses due to their impersonal nature, which limits the value of the gathered information.
Innovation Solution
A smart feedback system that uses personalized avatars to interact with users across multiple devices and locations, capturing feedback through various modalities like tone of voice, facial expressions, and heart rate, and analyzing it using machine learning to provide targeted recommendations, making users feel valued and increasing motivation to provide more valuable feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional survey systems are used to collect feedback from users, then the system can gather information from a wide number of users, but the impersonal nature of the system leads to lower participation rates and lower quality of responses
Solution Approach 1:
The patent introduces a personalized avatar as an intermediary between the survey system and users. The avatar represents the participant and interacts with users in a personalized manner, making the feedback process feel more human and trustworthy. This mediator maintains the ability to reach many users while improving response quality through personalized engagement.
Solution Approach 2:
The system changes the parameter of personalization by dynamically generating personalized avatars for each participant. Each avatar is customized with the participant's name, preferences, and communication style, transforming the impersonal survey system into a personalized interaction experience that increases both participation and feedback quality.
2Device complexity
If traditional survey systems are used, then the system structure remains simple, but user motivation to provide honest and complete feedback is low
Solution Approach 1:
The personalized avatar serves as an intermediary that adds motivational capabilities without requiring complex system restructuring. The avatar engages users through personalized communication, making them feel valued and more motivated to provide honest, complete feedback while maintaining relative system simplicity.
Solution Approach 2:
The system implements immediate feedback loops where users receive personalized responses from their avatar, reinforcing their participation. This feedback mechanism motivates users to continue providing quality feedback by feeling heard and valued, improving productivity without significantly increasing system complexity.
3Reliability
If personalized avatars are implemented across multiple devices and locations, then user engagement and feedback quality improve, but the system complexity and computational requirements increase
Solution Approach 1:
The personalized avatar is designed as a universal component that functions across multiple devices and locations. The same avatar instance can interact with users on smartphones, tablets, or computers, providing consistent personalized engagement without requiring separate systems for each device, thus managing complexity while improving feedback quality.
Solution Approach 2:
The system creates digital copies of the personalized avatar that can be instantiated across multiple devices. Rather than maintaining complex connections to a central system on every device, lightweight copies of the avatar are deployed locally, reducing system complexity while maintaining the ability to provide high-quality personalized feedback across multiple platforms.
Data Source
AI summary
Methods and systems are used for providing a traveling avatar in a smart feedback system (SFS). As an example, a user associated with a first interaction with the SFS from a first device at a first location is identified. A first visualization of a personalized avatar associated with the user is provided to the first device. A first personalized feedback request is provided to the first device during the first visualization. First feedback of the user captured by the first device is received in response to the first personalized feedback request. The user associated with a second interaction with the SFS from a second device at the first location is identified. A second visualization of the personalized avatar is provided to the second device. A second personalized feedback request is provided to the second device. Second feedback of the user captured by the second device is received.