Brief Description (Alt Text):Flowchart showing the scoring algorithm used in MED-AUDIT
Detailed Description (Description):
The scoring algorithm uses a sums of product relationships with 4 product terms: (1) Expert scored device feature requirement for a task, (2) Expert scored device feature requirement for user impairment, (3) Rater scored device feature presence on the device, and (4) Rater scored task requirement for device use. The rater scores elements of device feature presence and task requirements related to device use within the TTSS scoring taxonomy and software, and the rater scores are multiplied with the expert mapped matrices that contain the accessibility and universal design knowledge related to (1) device feature requirements for tasks and (2) device feature requirement for user impairments. The magnitudes of the scoring elements are determined by the scores of the expert matrices (1 and 2) and the rater scored feature presence (3) and task requirements (4). Rater scored device feature presence is used to determine if any given scoring element will be positive, negative, or neutral (zero). When a rater scores a device feature presence of 2 the scoring element is positive, when a rater scores device feature presence as 1 the scoring element is ignored as a zero score, and when a rater scores device feature presence as 0 the scoring element is negative. Rater scores of 1 (may be present) for device feature presence goes to zero so that a feature that someone is not sure is present does not affect the overall score of the device.