Joel Chan

Joel Chan

Assistant Professor
Office: 
Hornbake 2118E
Telephone: 
301-405-5628

FOCUS

  • Understanding and creating generalizable configurations of people, computing, and information that augment human intelligence and creativity.

RESEARCH INTERESTS

  • Human-Computer Interaction
  • Design
  • Creativity Support Tools
  • Collective Intelligence & Crowdsourcing
  • Social Computing

EDUCATION

  • PhD, Cognitive Psychology, University of Pittsburgh, 2014
  • MS, Cognitive Psychology, University of Pittsburgh, 2012
  • BS, Psychology, University of the Ozarks, 2009

RECOGNITION

  • Best Paper Award at the ASME Design Theory and Methodology conference, the Design Studies Award 2015, and an NSF Doctoral Dissertation Improvement Grant. 

When Does Encouraging Diverse Initial Solutions Lead to Better Final Solutions?

Principal Investigator: Joel Chan
Investigator:

Mark D Fuge

Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.

CHS: Small: Innovation Through Analogical Search

Principal Investigator: Joel Chan
Investigator:

Comparisons between two things are useful to support creative thinking and reasoning.