Although dialogue interpreting has been the focus of much scholarly interest in the past several decades, such research has primarily investigated its interactional, social, and communicative aspects. This dissertation places the interpreter's experience of task performance at center stage. The research study reported on herein explores dialogue interpreters' online self-regulation, defined as online monitoring of affect, behavior, cognition, and context and the online employment of affectual, behavioral, or cognitive control mechanisms in order to maintain or increase alignment between the current state of the interactional system and the interpreter's performance goals. The results of the study shed light on the aspects of the interactional system that interpreters monitor, the control mechanisms they employ during performance, and the goal states mediating their online self-regulation. In addition to reporting on the aforementioned research study, the author discusses and proposes models of dialogue interpreting.