  Live and pre-recorded video tutorials are an effective means for teaching
physical skills such as cooking or prototyping electronics. A dedicated
cameraperson following an instructor's activities can improve production
quality. However, instructors who do not have access to a cameraperson's help
often have to work within the constraints of static cameras. We present
Stargazer, a novel approach for assisting with tutorial content creation with a
camera robot that autonomously tracks regions of interest based on instructor
actions to capture dynamic shots. Instructors can adjust the camera behaviors
of Stargazer with subtle cues, including gestures and speech, allowing them to
fluidly integrate camera control commands into instructional activities. Our
user study with six instructors, each teaching a distinct skill, showed that
participants could create dynamic tutorial videos with a diverse range of
subjects, camera framing, and camera angle combinations using Stargazer.

Human-Computer Interaction