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Human-centered computing research at CCIS explores ways to create computer systems that more effectively support users with day-to-day tasks—from work, to communication, to entertainment, to maintenance and promotion of health and wellness. Through the development and testing of innovative user interfaces, sensing systems, and data visualization tools, our researchers are spearheading methods to understand how and why people interact with existing computing systems and devices, uncover the fundamental issues impacting everyday computer system use, and discover how human behavior will influence the system designs of the future.

Areas of investigation:

  • Development of computer systems using advanced sensing and natural language processing
  • Creation of new systems based on human behavior from mobile and ubiquitous sensor systems
  • Development of data visualization tools and methods to support new scientific discovery
  • Prototyping and testing of new methods for assessing user experience
  • Citizen science and crowdsourcing
  • Development of conversational agents that educate, counsel, and persuade users

Human-centered computing research at CCIS is molding the computer systems of tomorrow. Led by an accomplished group of faculty with a deep and varied understanding of groundbreaking computer systems, our research is focused on how human-centered systems can make interaction with computers more natural as well as how to better understand and use data generated by human-computer systems. PhD and Masters students will find a research environment intent on applying these new technologies to help people around the world improve their work, communication, and health.

Notable achievements:

  • CCIS has been awarded a National Cancer Institute grant to develop animated conversational agents for patients navigating oncology clinical trials.
  • Our team assisted NASA with challenges related to the human operation of complex robots.
  • CCIS researchers created an animated virtual nurse that educates hospital patients about health conditions, promotes sleep and doctor-patient communication, and explains events in the hospital environment using a range of sensors including accelerometers, acoustic classifiers, and long-range RFID.
  • Our group developed ontologies of health behavior change techniques that can be used to plan health interventions in real time.
  • CCIS researchers have used a variety of interface technologies—including gaze tracking, haptics, and anthropomorphic robots—to improve the comprehension of digital documents by low literacy users.
Research Area - Human Centered Computing