Matt Gottsacker
Papers
2
Total Citations
7
H-Index
2
About
Matt Gottsacker is a rising researcher at the intersection of human-robot interaction (HRI) and virtual reality (VR), with a focus on social cognition and trust calibration. His work explores how humans perceive and interact with virtual humans (VHs) and robots, particularly in mixed-reality environments. In his most-cited paper, "Virtual Humans with Pets and Robots" (2022, 5 citations), Gottsacker investigated social priming—the phenomenon where observing a VH in brief social exchanges with a bystander positively influences subsequent user interactions. This work sheds light on subtle social cues that shape human-robot dynamics. His more recent study, "Difficulties in Perceiving and Understanding Robot Reliability Changes in a Sequential Binary Task" (2024, 2 citations), addresses a critical challenge in HRI: how humans assess robot reliability over time. Using VR as a tool, Gottsacker demonstrated that users struggle to detect gradual shifts in robot performance, which can undermine trust calibration in human-robot teams. These contributions highlight his commitment to improving the design of transparent, trustworthy autonomous systems. Gottsacker’s research is particularly notable for its practical implications in fields like collaborative robotics and VR-based training, where accurate human perception of robot capabilities is essential for safe and effective teamwork.
Research Focus
Key Achievements
Top Papers
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