This paper describes the design of "ArmSleeve", a patient monitoring system to support occupational therapists in their upper limb rehabilitation work with stroke patients. Occupational therapists can provide rehabilitation in clinics, but they have limited insights into how much their patients use their affected arm and hand in daily life, which is critical for effective recovery to occur. Our work addresses this problem through three interrelated studies: (1) interviews with therapists to examine their current rehabilitation practices; (2) the design of the "ArmSleeve Sensor" to monitor a patient's upper limb movement; and (3) the design and evaluation of the "ArmSleeve Dashboard" to visualize this information for therapists. The findings show the importance of collecting objective data to assess exercise and activities outside therapy, but also a lack of contextual information to interpret this data. We discuss considerations for how to address this issue through patient engagement as well as considerations for designing wearable sensor technology that is usable in everyday life.

We present Dora, a mutable record-replay system which allows a recorded execution of an application to be replayed with a modified version of the application. This feature, not available in previous record-replay systems, enables powerful new functionality. In particular, Dora can help reproduce, diagnose, and fix software bugs by replaying a version of a recorded application that is recompiled with debugging information, reconfigured to produce verbose log output, modified to include additional print statements, or patched to fix a bug.