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Effectiveness evaluation of a remote accessibility assessment system for wheelchair users using virtualized reality
Jongbae Kim1, David M Brienza, Robert D Lynch
1VA Center of Excellence in Wheelchairs and Associated Rehabilitation Engineering and Human Engineering Research Laboratories, VA Pittsburgh Healthcare System, Pittsburgh, PA 15206, USA. jbkim@pitt.edu
Archives of Physical Medicine and Rehabilitation
|February 26, 2008
Summary
The Remote Accessibility Assessment System (RAAS) accurately assesses built environment accessibility using 3D virtual reality, showing high agreement with in-person methods. This technology offers efficient, expert accessibility evaluations for remote or underserved clients.
Area of Science:
- Rehabilitation Engineering
- Assistive Technology
- Virtual Reality Applications
Background:
- Assessing the accessibility of built environments is crucial for individuals using wheeled mobility devices.
- Conventional in-person assessments can be time-consuming and resource-intensive.
- There is a need for innovative technologies to streamline and enhance accessibility evaluations.
Purpose of the Study:
- To evaluate the effectiveness of the Remote Accessibility Assessment System (RAAS), a 3D image reconstruction technology, in assessing built environment accessibility.
- To determine the congruence between RAAS assessments and conventional in-person accessibility evaluations.
- To establish RAAS as a viable tool for remote accessibility analysis.
Main Methods:
- A repeated-measures, within-subject design was employed in a university research laboratory setting.
- Three homes utilized by individuals with wheeled mobility device needs were assessed.
- The Remote Accessibility Assessment System (RAAS) and conventional in-person methods were used to evaluate tasks within different home areas (e.g., entrance, bathroom).
Main Results:
- The study demonstrated a high overall agreement proportion of 94.1% between RAAS and in-person assessments.
- RAAS exhibited high sensitivity (95.6%) and specificity (90.3%) in identifying accessibility issues.
- A significant kappa coefficient of .857 indicated a strong agreement, with no significant directional bias in error identification (McNemar test, P=.868).
Conclusions:
- Virtualized reality and 3D reconstruction technology, as exemplified by RAAS, offer an effective method for evaluating architectural features without on-site visits.
- RAAS presents a potential for efficient service delivery, extending expert accessibility assessments to underserved populations.
- The system can serve as a valuable tool for service providers, improving the reach and efficiency of accessibility evaluations.
