wrap-up - stanford university€¦ · 05/06/2013 · missing: computer for the 21st century,...
TRANSCRIPT
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Wrap-up
michael bernsteinspring 2013cs376.stanford.edu
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Course Goals
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Contributions to HCI
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Primary Source Material
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Literature Index
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Research Methods
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doing
reading
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WritingTechnical PresentationCritical Thinking
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9
Ubiquitous Computing
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Ubiquitous Computing
Social Computing
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9
Ubiquitous Computing
Social Computing
Design and Creation
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research methods global citizenship
models programming collaboration
intelligent user interfaces
visualization attention
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WebzeitgeistBeyond Being There
AardvarkPredicting tie strength
Avaaj OtaloParallel Prototyping
Can Technology End Poverty?Information Visualization
Past, Present, and Future of UI ToolsMuscle-computer interfaces
Multi-Touch SystemsGames with a purpose
Phrase NetsInstrumenting the crowd
Example-Centric ProgrammingFrom Pointing to Pondering
SUPPLEd.tools
Methodology MattersWhyline
Hypothesis Generating in PsychologyExploring and Finding Information
Amplifying community contentRight Design and the Design Right
Eco-Feedback TechnologyHydroSense
Social translucencePrinted opticsInfrastructure
The Science of DesignDesign-oriented HCI
Pasteur's Quadrant2.0 2.9 3.8 4.6 5.5
Score
Missing: Computer for the 21st century, Skinput, Evidence-based social design, Soylent
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
12
History repeats itself: computer science research continuously reinvents past work.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
12
History repeats itself: computer science research continuously reinvents past work.
Thus, to predict the future of UIST, we trained an n-gram language model on twenty years of previous UIST abstracts.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
12
History repeats itself: computer science research continuously reinvents past work.
Thus, to predict the future of UIST, we trained an n-gram language model on twenty years of previous UIST abstracts.
We present the machine-generated exact average UIST paper, with small edits made for clarity and maximum humor...
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
13
Edgewrite is a big problem in current handheld browsing: we describe some common problems experienced by users that are hit.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
13
Edgewrite is a big problem in current handheld browsing: we describe some common problems experienced by users that are hit.
We describe the architecture we have implemented and deduce a general framework that provides on-demand, persistent prototype applications.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
14
We discuss how people-tagging is a low-cost o!-the-shelf electroencephalograph (EEG) system.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
14
We discuss how people-tagging is a low-cost o!-the-shelf electroencephalograph (EEG) system.
We hope to challenge the audience to creatively consider ways that would otherwise result in small thumbnails that are placed away from systematic noise sources which can identify 100% of dishwasher usage.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
15
Unlike previous work, we present examples that represent the structure of toolkits.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
15
Unlike previous work, we present examples that represent the structure of toolkits.
The user glances at the possibilities of olfactory output devices: ubiquitous computing environments need to work together.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
16
The result in a user study shows that after the stimulus, the location of the user responds to an automatic graph layout system.
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The exact average UIST paper[Eigenauthors: Hudson, Balakrishnan, Myers, Feiner, Hinckley]
16
The result in a user study shows that after the stimulus, the location of the user responds to an automatic graph layout system.
Finally, we introduce three new interaction techniques.
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?Feedback?
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Bravo! !