Maik Hammerschmidt

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About

Maik Hammerschmidt is a researcher whose work sits at the compelling intersection of human-computer interaction, service management, and artificial intelligence. His scholarship focuses primarily on how users respond to service robots — particularly in moments of failure and recovery — making him a significant voice in the rapidly evolving field of service robot adoption and design. Hammerschmidt's most influential contributions examine the psychological dynamics that unfold when automated service systems fail. His 2022 study, now with 38 citations, revealed critical insights into how robot design choices shape user attributions of blame and their likelihood of continued engagement — findings with direct implications for firms deploying AI-driven service agents. A companion study explored how users differentially respond to successes and failures depending on whether a humanoid robot is involved, highlighting a fascinating asymmetry in how credit and blame are distributed between humans and machines. With a growing citation record across multiple high-impact publications, Hammerschmidt's research addresses questions that are increasingly urgent as businesses automate customer-facing roles. His work offers both theoretical depth and practical guidance, helping organizations design smarter, more resilient robotic service systems that maintain user trust even when things go wrong.