Building a predictive model of U.S. patient willingness to undergo robotic surgery.

Prior research regarding robotic surgery (RS) has largely focused on the engineering or medical aspects of these tools. A few studies have examined consumer opinions toward, or willingness to use, robotic surgeons; however, no study to date has examined what type of person would be willing to undergo RS. Across two studies, the current research fills this gap by building both a descriptive and predictive regression model used to predict what type of user would be willing to undergo RS.

Team Combat Identification: Effects of Gender, Spatial Visualization, and Disagreement.

Objective: The combat identification (CID) abilities of same-gender and mixed-gender dyads were experimentally assessed, along with measures of spatial skills and team communication.

Background: CID is a high-stakes decision-making task involving discrimination between friendly and enemy forces. Literature on CID is primarily focused on the individual, but the extensive use of teams in the military means that more team-based research is needed in this area.

Patient Perceptions of New Robotic Technologies in Clinical Restorative Dentistry.

Patient perception research has failed to focus on burgeoning technology within the dental field. Specifically, researchers have yet to focus on developing robotic technologies which are being utilized by dentists to help perform certain procedures with added precision and route mapping. The current study attempts to fill the gap created by a lack of intersection between dental technology research, consumer perceptions research, and automation research.