Erik Vinkhuyzen

Erik Vinkhuyzen is a senior researcher specializing in the interaction between autonomous vehicles and human behavior. He currently serves as a senior researcher and manager at the Alliance Innovation Laboratory, where he leads research on the "Intention Indicator" project, exploring how autonomous vehicles can better interact with human road users from a social science perspective. Throughout his career, he has extensively applied video ethnography research methods to deeply analyze human behavior and technology usage in various work settings, including electronic medical record transition, service center interactions, and social robot design. His research outcomes span multiple domains, aiming to advance the integration of technology and social practice.

• 2015–Present·Alliance Innovation Laboratory·Senior Researcher & Manager
  • Leading research on the interaction between autonomous vehicles and human road users.
  • Developing the concept of "Intention Indicator" and examining the influence of culture on driving behavior.
  • Conducting experiments and evaluations in human-computer interface design.
• 1999–2015·Xerox PARC·Principal Researcher
  • Studied human-technology interactions in various work settings such as call centers, medical clinics, and service technicians' operations.
  • Analyzed natural video data to explore the relationship between technology design and user behavior.
  • Spent three years in Fujitsu Software Integration Group in Japan, researching project management and organizational communication.
• 1998–1999·RIACS (NASA Ames)·Researcher
  • Conducted research at the Human-Centered Computing Laboratory at NASA Ames.
  • Investigated the use of voice loop systems in NASA mission control and designed alternative interfaces.
• 1994–1999·Institute for Research on Learning (IRL)·Researcher
  • Transitioned to ethnographic research, focusing on the impact of technology in the workplace.
  • Studied the real-world applications of expert systems and case-based reasoning systems.
  • Authored a doctoral dissertation, "Expert Systems in Practice," exploring the relationship between technology and organizational learning.

• Date Unknown·Unknown Institution·Ph.D.
  • Field of Study: Social Sciences and Technology Interaction (research topics include expert systems and organizational learning)