Vision-Assist System Reduces User Reliance via Dynamic Feedback
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Solution Overview
Problem
Visually impaired individuals may become overly dependent on vision-assist systems during orientation and mobility training, hindering their development of confidence in their own skills and abilities.
Innovation Solution
A vision-assist system that records and rewards decreases in user reliance on feedback devices over time, using environmental sensing devices like cameras and microphones, and stores metrics in a cloud database to track training progress, encouraging independence through incentives and feedback reduction algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vision-assist systems provide continuous feedback to visually impaired users during O&M training, then users receive adequate assistance and support, but users become overly dependent on the system and fail to develop confidence in their own skills
Solution Approach 1:
The system dynamically adjusts the level of feedback provided to users based on their performance metrics and progress. As users demonstrate improved skills and confidence, the system automatically reduces feedback intensity, transitioning from continuous assistance to intermittent support, thereby fostering independence while maintaining reliability when needed.
Solution Approach 2:
The system implements a sophisticated feedback mechanism that monitors user performance and provides targeted feedback only when necessary. The feedback is designed to guide rather than direct, encouraging users to make independent decisions while receiving support when challenges arise, thus balancing assistance with independence development.
2Reliability
If vision-assist systems provide comprehensive navigation assistance, then users can navigate safely and effectively, but users do not develop their own navigation skills and confidence
Solution Approach 1:
The system provides partial assistance by offering navigation support only for specific challenging situations rather than continuous guidance. This allows users to navigate safely in familiar or simple situations independently while receiving comprehensive support when complexity increases, thus promoting skill development without compromising safety.
Solution Approach 2:
The system prepares users for upcoming challenges by providing advance information about potential obstacles or complex navigation tasks ahead of time. This allows users to mentally prepare and attempt independent problem-solving before encountering the actual challenge, fostering skill development while maintaining safety through anticipatory support.
3Measurement precision
If vision-assist systems monitor and track user reliance metrics continuously, then system can identify when users need additional support, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts and monitors only the most critical reliance metrics necessary for determining user independence progress, rather than continuously tracking all possible parameters. By focusing on key indicators such as feedback request frequency and navigation task completion, the system maintains measurement precision while reducing overall system complexity and data processing requirements.
Data Source
AI summary
Vision-assist systems and methods include use of processor(s) and a communicatively coupled feedback device and environmental sensing device upon which generated feedback is based. Machine readable instructions stored on a memory module cause the system to perform the following when executed by the processor(s): record a first metric corresponding to a level of reliance by a user on the feedback device at a first time; record a second metric corresponding to the level of reliance by the user on the feedback device at a second time after the first time; and record an awarded amount of reliance points when the second metric is less than the first metric, indicative of a decrease on a reliance by the user on the vision-assist system. The awarded amount of reliance points corresponds to a percentage by which the second metric decreases compared to the first metric.