Human-Computer Interaction at CMU

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Human-Computer Interaction at CMU

• Jodi Forlizzi
• Jason Hong

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Why are these hard to use?
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HCI at CMU

• Our mission is to create and evaluate effective,
  useful, and enjoyable experiences with
  technology, through engagement with the
  disciplines of computer science, social science,
  cognitive science, design, and engineering.

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HCI at CMU

• Multidisciplinary research areas
• Enabling technology
• Human assistance and well-being
• Interdisciplinary centers
• Learning science and technology
• Social computing
• Research through design
• 20 faculty, 40 PhD students

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HCI at CMU

• Our approach
• User-centered design and development
• Qualitative and quantitative study
• Active role of prototyping
• Labs and naturalistic settings
• With the people who will use the product

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HCI at CMU

• Multidisciplinary research areas
• Enabling technology
• Human assistance and well-being
• Interdisciplinary centers
• Learning science and technology
• Social computing
• Research through design

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Enabling Technology

• Natural Programming
• Alice Making Programming Accessible
• Automatic calibration of projectors
• Human-Robotic interaction / Assistive robots
• Context-aware computing
• Human modeling
• Models of attention
• Tools for creating web-based mashups
• Usable Privacy and Security

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Making Mashups with Marmite
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Anti-Phishing Training
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Anti-Phishing Phil
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Web Browser Warnings

• How effective are browser warnings?

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Privacy and Security for Pervasive Computing
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Privacy and Security for Pervasive Computing
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Social Computing
I can briefly mention the greyed out ones, and
then transition to you

• Footprints, use social nets vs global warming
• Designing online communities
• HomeNet
• Mobile social computing
• Information displays
• MOVE
• Impact
• Glanceable email displays
• My agent as myself or another

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Social computing

• Our research is developing social, context-aware
  applications that
• Sense and provide information about people and
  their physical and social context
• Improve decision-making by creating applications
  that present information in appropriate ways
• Inspire positive changes in peoples behavior

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Information display

• Create visualizations that
• Build on the science of warnings
• Integrate multiple pieces of data
• Show trends and relationships
• Avoid information overload

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A Science of Warnings

• See the warning?
• Understand?
• Believe it?
• Motivated?
• Planning on refining this model for computer
  warnings

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Information display

• Design variables we have explored
• Abstraction
• Symbolism
• Complexity
• Social representation

R
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MOVE

• Maps Optimized for the Vehicular Environment
• Goal use cognitive resources efficiently in the
  context of in-car navigation
• Approach systematic study of navigation
  activities, information design techniques,
  information optimization techniques
• Fivefold improvement over static maps

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IMPACT

• Improving and Motivating Physical Activity Using
  Context
• Goal allow people to see opportunities for
  increasing daily activity, motivate them to
  change their behavior to do so
• Approach ethnographic study with those who have
  set and reached or failed to reach goals to
  become more active, system design and evaluation
• To date, users increase awareness and motivation
  for increasing physical activity

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Glanceable email displays

• How to design glanceable visuals for contexts of
  divided attention?
• Simple visuals are not preferred over complex
  ones
• Colored representations can be successfully
  interpreted peripherally
• Impact on performance small, impact on preference
  large

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My agent as myself or another

• How would users interact with agents that
  resembled the user?
• Agents that look like the self are rated highly
  for credibility
• Seen as more credible when someone else creates
  the faces
• Self-esteem may play a role in the adoption of an
  agent that looks like the user or is simply
  familiar
• Design implications for agents that maintain
  social relationships with users

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Conclusions

• Multidisciplinary research areas
• Enabling technology
• Human assistance and well-being
• Interdisciplinary centers
• Learning science and technology
• Social computing
• Research through design