establishment-level data on injuries, we find that a one standard deviation increase in our commuting zone-level measure of robot … to robot penetration experience a significant increase in drug- or alcohol-related deaths and mental health problems …. Employing longitudinal data from Germany, we exploit within-individual changes in robot exposure and document that a one …

, we lack strong theoretical models to predict and explain perceived safety and its influence on human–robot work … collaboration (HRWC). To address these issues, we introduce the Robot Acceptance Safety Model (RASM) and employ immersive virtual … environments (IVEs) to examine perceived safety of working on tasks alongside a robot. Results from a between-subjects experiment …

one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are … also show that the US counties that are more exposed to robot penetration experience a significant increase in drug- or … outcomes in the US. Employing individual longitudinal data from Germany, we exploit within-individual changes in robot exposure …

. To address endogeneity concerns, we employ an instrumental variable approach and find that robot adoption reduces both … injuries and fatalities. Specifically, a 10% increase in robot adoption is associated with a 0.066% reduction in fatalities and …

. To address endogeneity concerns, we employ an instrumental variable approach and find that robot adoption reduces both … injuries and fatalities. Specifically, a 10% increase in robot adoption is associated with a 0.066% reduction in fatalities and …

establishment-level data on injuries, we find that a one standard deviation increase in our commuting zone-level measure of robot … to robot penetration experience a significant increase in drug- or alcohol-related deaths and mental health problems …. Employing longitudinal data from Germany, we exploit within-individual changes in robot exposure and document that a one …