Objectives. This article explores the potential of virtual reality to study burglary by measuring user responses on the subjective, physiological and behavioral levels. Furthermore, it examines the influence of individual dispositions, such as sensation seeking and self-control, on behavior during a virtual burglary event. Methods. Participants, male university undergraduates (N=77), could freely move around a virtual neighborhood wearing a virtual reality headset and using a game controller, and were instructed to burgle one of the houses in the neighborhood. Participant movement, items stolen from the house, and heart rate were recorded throughout the burglary event. Individual dispositions were measured before, and subjective user responses were measured after, the event. Additionally, we experimentally varied whether there was an alarm sounding, and participants' beliefs about the chance of getting caught (deterrence). Results. Participants reacted subjectively to the burglary event by reporting high levels of presence in the virtual environment and physiologically by showing increased heart rates. In terms of behavior, high deterrence resulted in fewer items being stolen and a shorter burglary. Furthermore, sensation seekers stole more valuable items, while participants high in conscientiousness stole fewer items. Conclusions. The results suggest that virtual environments have substantial potential for studying criminal behavior. 2 Watching burglars in action would be an excellent way to increase our knowledge of burglary. In practice this is only rarely possible, however, and even less so in a controlled setting that allows for systematic study. By virtue of its illegal nature, burglary, analogous to other serious offenses, occurs out of sight and hence is hard to observe and examine 'in the wild'. Even in those cases that would allow for direct observation, ethical considerations generally militate against it. Consequently, our knowledge of burglary relies in large part either on studies examining targeting patterns and target characteristics, or on studies using retrospective methods, such as offender interviews and surveys. The former type of research has yielded crucial insights on areas where burglaries are likely to take place (e.g., Johnson and Bowers, 2004; Townsley, Homel and Chaseling, 2003) and offending trajectories taken (e.g., Bernasco, 2010), but offers little in the way of burglar decision-making processes while committing the offense (Coupe, in press; Wright and Decker, 1994). Interview studies have provided valuable insights into offender decision-making (e.g.,