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Presented By Sean Liu 2007/1120

Presented By Sean Liu 2007/1120. Ph.D. in Computer and Information Science, University of Pennsylvania, 1981 Arizona State University, Assistant Professor,

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Page 1: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

Presented By Sean Liu 2007/1120

Page 2: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

Ph.D. in Computer and Information Science, University of Pennsylvania, 1981

Arizona State University, Assistant Professor, (1981-1984)

Brigham Young University, Assistant Professor, Associate Professor (1984-1990)

Brigham Young University, Department Chair of Computer Science, (1992-1996)

Carnegie Mellon University, Professor, HCII Director, (1996-1998)

Brigham Young University, Professor (1990-Present)

Page 3: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

UIST 2007 Panel Discussion Paper How should we evaluate new user interface

systems so that true progress is being made?

Page 4: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

Force for change Value added by UI systems architecture

◦ Reduce development viscosity◦ Least resistance to good solutions◦ Lower skill barriers◦ Power in common infrastructure

Page 5: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

The Usability Trap The Fatal Flaw Falancy The Legacy Code

Page 6: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

STU Importance (of STU) Problems not previously solved Generality Reduce solution viscosity

◦ Flexibility◦ Expressive leverage

Expressive Match

Page 7: Presented By Sean Liu 2007/1120.  Ph.D. in Computer and Information Science, University of Pennsylvania, 1981  Arizona State University, Assistant Professor,

Empowering new design participant Power in combination

◦ Inductive combination◦ Simplifying interconnection◦ Ease of combination

Can it scale up?