Humans use sensory information from the world to take action and complete tasks. While there are many strategies for augmenting human perception, touch-based systems provide a large bandwidth and high-fidelity approach for improving human sensory capacity. However, this feedback often does not perfectly match what people are seeing -- and we have a limited understanding of how people integrate information during such sensory mismatch (e.g., seeing a mug while feeling a cylinder with different mechanical properties).