Existing research has found that certain symptoms of depression and anxiety can be detected by analyzing vocal biomarkers (dynamic characteristics of a person’s voice, such as loudness and pitch). We think that similar techniques can be used to detect burnout, which would reduce the need to rely on lengthy self-report surveys which are currently used to detect burnout. The methods we are testing require that we gather a diverse collection of burnout assessment and vocal data. By contributing, you will improve our understanding of how vocal biomarkers can be analyzed to detect burnout.

Participating in this study involves:

• Answering a few short questions about your demographic information (i.e., gender, age, race, any potential psychiatric diagnosis, etc.)

• Completing Skylyte’s proprietary burnout diagnostic survey. This typically takes around 5 minutes to complete.

• Completing 3 brief speech tasks.

• In total, participating in this study will take approximately 10 minutes from start to finish, on average.

• You will be entered in a draw for two $100 gift cards