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Human-Centered Computing Retreat Overview. John Canny UC Berkeley. HCC. Human-Centered Computing (HCC) is a research effort at Berkeley that studies computing as an ubiquitous technology which is transforming society.
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Human-Centered ComputingRetreat Overview John Canny UC Berkeley
HCC • Human-Centered Computing (HCC) is a research effort at Berkeley that studies computing as an ubiquitous technology which is transforming society. • Its an interdisciplinary “umbrella” project involving 30-40 faculty on campus.
HCC in a nutshell • Computing is becoming ubiquitous, quiet, and more tightly coupled with the physical world. • Computing in future will operate in human contexts, rather than creating contexts which humans must learn and understand. • HCC draws on the social sciences to build a deep understanding of those contexts.
The problem of context • Context is more than when and where an action takes place. • It includes the activity, task, long-term goals, and psychological state of people and groups of people.
HCC is a two-way street • Understanding social behavior is important for computer applications that will assist people. i.e. computer scientists gain from knowledge of the social sciences. • Computing is permeating the daily lives of most people. It has changed the nature of work, and is changing the way people learn, buy goods and recreate. It is both a transformative force and an extraordinary tool for studies in the social sciences. Social scientists benefit from seeing emerging technologies up close, and in using computational tools for large-scale studies.
HCC Overview • Changes caused by information technology: • Creation of the knowledge worker and informational companies. • The agile corporation: temps, outsourcing, offshore labor, retraining. • Ubiquitous networking and communication is creating new kinds of social ties and reshaping social networks. • The promise of education: learner autonomy and life-long learning. • HCC seeks to tie social and behavioral sciences with information science and engineering.
Why now? • Computing seems to be a great success … (credited for the relentless climb of the Dow). • BUT, the future success of information technology depends on scaling barriers which are increasingly non-technical.
Where the walls are: • Natural human-machine interaction. • Computer literacy and life-long learning. • Face-to-face vs. electronic interaction. • Codified vs. tacit knowledge. • Engineering vs. the social sciences.
HCC Overview • HCC is not a single research project, but provides an umbrella for interdisciplinary projects across wall # 5. • Some themes that you’ll hear about: • Natural interaction. Pens, gesture, speech. • Design of learning tools, tools for learning design. • Design as practice, tools for doing it. • CMC tools based on the psychology of interaction. • Mining tacit knowledge, social & computer networks.
From Electrical Engineering Ron Fearing Nelson Morgan Richard Newton Kris Pister Avideh Zakhor Who we are: From Computer Science • John Canny • Jerry Feldman • David Forsyth • Michael Jordan • Anthony Joseph • Randy Katz • James Landay • Jitendra Malik • Robert Wilensky From Sociology • Barry Wellman (Toronto) • Elisa Bienenstock (Stanford) • Manuel Castells • Claude Fischer From GSE: Graduate School of Education • Andy diSessa • Marcia Linn • Michael Ranney From Psychology • Dacher Keltner • Jerry Mendelsohn
HCC Faculty Researchers From Mechanical Engineering • Alice Agogino • Homi Kazerooni • Paul Wright From SIMS: School of information Management and Systems • Marti Hearst • Nancy Van House • Hal Varian From Business • Robert E Cole • Jim Lincoln IEOR: Industrial Engineering and Operations Research • Ken Goldberg
Where it would be: • LAB space (2000 sq ft) in South Hall (SIMS), to contain video editing eqpt., CMC tools, eqpt for usability studies (head tracker etc.). • Centrally located on campus. Surrounded by other small offices for temporary use.
Goals of the Retreat • Survey the research at UCB (long-term views). Introduce our industry participants. Think about breakout group topics (today). • Sample some active research projects (talks and posters). Brainstorm about the center’s future. How we should build it up, set priorities, make connections (tomorrow). • Summarize the discussions and get feedback (Friday).