Modeling Complex Environments

In this study, we will collect user data that can be used to train Opportunity Knocks and test its algorithms. We will ask students in the Computer Software and Engineering program, staff and faculty in the Computer Software and Engineering program and the Rehabilitation Medicine Program, and job coaches from the Employment Training Program at the UW to passively carry a GPS system that will allow the computer science group to gather training data for the Activity Compass. Subjects will wear a sensor device along with data recording equipment and measure their movements while performing daily activities such as walking, taking the bus, or traveling in a car.

The devices used in this phase will collect information about typical routes individuals take on a daily basis. All devices used in this study are passive and measure movement of the subject. No feedback will be returned to the subject via the device.

Subjects will carry three devices: a GPS sensor, an (optional) acceleration sensor, and a data-recording device.

When subjects are carrying the recording devices, they will keep logs of the destinations to which they travel. Researchers will then look to see whether the device and algorithms can accurately identify the locations to which subjects traveled.

Status

We have human subjects approval and are currently recruiting participants for this study.