AutoAdapt Software System for Assistive Technology Configuration
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Solution Overview
Problem
Current assistive technology products require significant manual configuration and do not adapt automatically to a user's varying abilities, necessitating assistance and failing to provide independence as user conditions fluctuate.
Innovation Solution
A software system, AutoAdapt, assesses user capabilities through questions and tasks, modifying operational characteristics of data processing systems to optimize interface settings and facilitate seamless interaction with assistive devices, even for non-accessibility enhanced applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If assistive technology products use manual configuration, then setup control is precise, but user independence deteriorates and reconfiguration time increases when user abilities change
Solution Approach 1:
The system performs self-assessment of user capabilities through automated questioning and task performance evaluation. The assistive technology automatically detects user needs and reconfigures itself without requiring manual intervention from users or assistants, enabling the system to serve itself in terms of adaptation and configuration.
Solution Approach 2:
The system continuously monitors user performance through proficiency tests and capability assessments, using this feedback to dynamically adjust and optimize the assistive technology configuration. This closed-loop feedback mechanism ensures the system adapts to changing user abilities in real-time.
2Adaptability or versatility
If assistive technology is customized to individual user needs, then accessibility improves, but system complexity and configuration difficulty increase
Solution Approach 1:
The system automatically assesses user capabilities through structured questioning and task performance, then self-configures the appropriate assistive features without requiring complex manual setup. This eliminates the need for users or assistants to navigate complex configuration options.
Solution Approach 2:
The system performs preliminary capability assessment and configuration selection before the user actually needs the assistive features. By pre-evaluating user needs and pre-configuring appropriate settings, the system avoids the complexity of on-demand configuration adjustments.
3Measurement precision
If proficiency testing is performed for each input device, then user skill assessment accuracy improves, but assessment time and system processing increase
Solution Approach 1:
The system performs proficiency testing selectively based on user needs and context rather than universally for all input devices. It assesses only the relevant capabilities required for current tasks, avoiding unnecessary comprehensive testing while maintaining sufficient assessment accuracy.
Solution Approach 2:
The system performs capability assessment in advance during initial setup or when changes are detected, rather than continuously during normal operation. This preliminary assessment establishes a baseline that can be used for extended periods, reducing the frequency and total time of assessments.
Data Source
AI summary
A system, method, and computer-readable medium that facilitate software configuration of assistive computer devices by automatically assessing a user's capabilities through questions and tasks are provided. The analysis results of the user's capabilities are then available to assistive computer software applications which may subsequently update their interfaces accordingly. A mapping mechanism from an external input device into a target software application is facilitated for software applications that do not include assistive technology features.