sub-interests

• Understanding human behavior through qualitative and quantitative techniques
• Developing solutions that encourage positive behavior change
• Exploring the emotional and social elements of human-technology and human-robot interaction
• Modeling human behavior at individual/agent and system levels
• Applications in healthcare, sustainability, education, and creative problem solving

questions

• How can we design systems that help people make better decisions (related to healthcare, sustainability, etc.)?
• How can we incorporate emotions and irrationality into models of human behavior? How might this change the way we design human interactions with robots and technology?
• What barriers prevent the adoption of sustainable technologies, healthy behavior, and solutions designed to help people make better decisions? How are those manifested at individual/agent, local system, and global system levels?
• Where do nuances of social interaction and emotions come into play when humans are interacting with robots and responsive technologies? How do expectations, accountability, and trust come into play in these relationships?
• How might we use models of human behavior at a system level to predict emergent phenomena and unintended consequences that might be associated with the introduction of new technologies or behavioral changes?
• How might we use models of human behavior to help designers, politicians, and scientists create large-scale, human-centered solutions (technologies, policies, programs) with increased likelihood of success?
• How might we incorporate ethnographic research techniques and qualitative findings into the creation of agent-based models?
• How might we use an understanding of creative problem solving behavior to develop tools and techniques that foster creativity and help designers make better decisions?