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- 10th anniversary
- Claude Steele
- Dean, Standford graduate school of education
- FMRI research neuroimaging research
- psychology research after imaging research
- before neuroimaging psychology was powerful science
- URestriction was based around the measurement of behavior
- ABaed on inferences
- Neuro imaging allowed measuring of neuroimaging itself
- Related to behavior and cognitive changes
- Changes did not apply immediately
- Tooktime
- But transformed the time
- Created a new language and
- insight into an age old science
- Technology development chan change these fields
- Education in particular can benefit from these studies
- civil life
- social issues
- technology can support the shifts in educational fields that can be improved
- Business and university communities need to be working together
- university recognizes this is critical
- MediaX as crucial part of the graduate school
- Goal to generate strong ideas
- Roy Pea
- Faculty director
- Sees relationship between grants and donations
- Students who come to study
- University students can go deeper than companies
- Physical Interaction Design
- Scott R. Klemner
- The influence of research direction and teaching methods
- cae from median exposure
- Hiroshi
- Collaboration with mediax resulted in user interfere with social intelligence
- Used for systems healthcare
- Name: Nakagima
- Creative Commons dude
- Virtual Jurisdiction
- Questions changed legal rights n digital realm
- Lessig
- Forbidden problems
- Corruption
- Opening new opportunities for democracy
- Catalyst
- Broker
- Idea collaboration
- Member companies work together to do what they could not do previously.
- Larry Leifer
- Mission
- create breakthrough media innovations
- Hypothesis
- shortest path to better media is a better design
- Value proposition
- 7 phd finding in 7 minutes
- pivot thinking and the differential sharing of information within new product development
- Mark Schar
- PhD 2011
- Interested in how decisions are made in the corporate world
- 2 teams of six students each
- All the same problem solving preference
- Converger
- Diverger
- Make design challenge in the group
- Choose a shoe: experiement
- DIVERGERS vs CONVERGERS
- Which group
- Divergers work fast in the beginning but
- Convergers move slow at first, then quickly and slow at end
- Convergers choose the worst but justified their choice after
- Key issue in team work is getting people to collaborate
- Alexander Lubbe
- Tangible business process modeling
- How to get people to be tangible
- Clince redesign
- Bring in expert
- Physical modeming
- Capturing consensus in big picture
- Capture the model into computer that runs the clinic
- The company responsible launch their company the next week
- A visual representation medium to characterize moment to memo net concept representation is important
- Creating a language to code concept generation activity
- Interaction-dynamics
- A lot being communicated that is not fact and figure
- Provided a method to code the exchanges in real time to characterize activity
- Improvisation priciples
- Learning how to overcome the block
- You need to get around the blocks
- Focus on animated behavior
- Affected interactions is emotion
- What is the role of emotions in engineering teamwork
- Can we adapt methods that were developed to predict forced divorce
- Couples at work
- is similar to engineering
- Performance of a team can be predicted based on a short time period
- The study state that the lab and field study have similar dynamics
- The teams had 99% similarity
- the performance can be tracked
- The coding can be done in real time
- The research created a new coding
- The power of hedonic balane
- Wow team
- thank you team
- Greg Kress
- intrinsic member difference as predictive media fro long term team performance
- What 17 different factors contribute to team performance
- Everything contributes
- But nothing contributes predictively
- Except 1 thing
- Possession of a extraverted feeling person is valuable
- They are open to the world and perceive from the world
- The performance
- The more extraverted feeling there was on the team the better they performed
- !!!!!! The extraverted feeling creates a better team and better design
- Intrinsict difference matters
- Extraverted feeling matters the most
- The Douglas while personality profile worked the best
- Johnathan Edelman
- Understanding how people influence media and how media influences people
- Looked at teams with radical ideas during design sessions
- Looked at the ones that were most productive in radical design session
- Correelated with media used and organized it
- Feeling acting and narrating
- Looking at innovation
- The low performance team is not as emotionally involved
- The engagement that are optimizing and breakers
- The ones that gesture more create more
- !!! People who gesture more are the ones that create more
- The activity and animation of the groutp creates more product envelopment and better understanding off the innovation process in radical ideas
- statement about gestures being important
- Ramesh Johari
- Professor in management science and engineers
- /The engineer as economist
- The design and use of online market platforms
- El Roth
- Winner of noble prize in economics
- He said we can engineer markets like woe couldn't ever do before
- Look at markets
- Question: Who can I trade with
- Who are my competitors
- How much should I pay?
- These are the challenges
- The institutions have changed at a quick timescale
- ][The information available to you is relatively limited
- THE QUESTIONS ARE DIFFICULT TO ANSWER BECAUSE OF HTEIN FORMATION LIMIT BASED ON YOUR PARTICULAR TOPIC
- THE RISE OF ONLINE MARKET PLATFORM AIS CHANGING
- look at Etsy and Ebay
- Sponsored earch market
- Odesk
- task rabbit
- app store and google play
- Uber and kick starter
- How do online markets change the play of markets
- The two important
- Fine-graned matching of makert participants
- Fine-grained information about matches
- An unprecedented ability toeingeer the economic interaction
- these are the opportunities
- We cana not only find the information but we can mine the results
- How we can understand how happy people were after
- The serve and the rating
- In the past this was not something that we could access
- Economics change when you can engineer the market
- You choose what people see and how they make decisions
- Look at the market designer and the market participant
- Centralized or decentralized matching
- Opacity or transparency
- What is the matching process and how much should you intervene
- Market Designers
- The example is on uber
- The über people centralize the whole market place
- You never choose, you just say you need a ride
- Odesk is very decentralized
- The filter system i a n engineering of the intervention process
- There is a limit of how much you can see at once
- how do you choose
- Centralization has an advantage
- if you think you know what the matches should be, t
- then you can implement them
- The national resident matching program is a good example
- Single service
- Decentraliztion has its advantages
- If you don't know what the user wants,
- Then you can let the party express their desire efficiently
- Search engine
- Oopactiy and transparency
- You have the choice to show a lot of information or very little
- The theory says that more information should make more market inefficient
- More information makes a cognitive burden on the decision maker
- We moved from web 2.0 is too much information
- 3.0 is took uch information
- Not so obvious
- Not obvious that full transparency is the clear decision
- To much information ix not always good
- Market participants
- The match i a finer grain
- Finding the trading partner
- ]pricng goods to sell
- bidding on goos buy
- What is the optimal strategy for X?
- What are the optimal for individual to a group
- Algorithmic trader
- financial security
- Bid on ebay
- Pricing goods to sell
- Most compelling problem
- If you are a merchant entering the online market the pricing changes rapidly
- bidding gooods toi buy
- one example
- Content on the go: the economics of the market for mobile apps
- How should developers price their apps
- rapid experimentation
- stiff competition for visibility
- Project: a dart driven study of optimal strategy
- question: how do you form marketing strategies
- John Willinsky
- and Alex Garnett
- Left to their own devices: automating xml parsing and rendering for scholarly publishing
- Public knowledge project
- Benefits: Your document is your metadata
- The document itself contains al the content available in it
- There is not separate metadata
- Documents being marketed up in documents have been existent for a while
- is not wide spread with publishers
- Markup is expensive
- Someone has to tag manually
- There are tools to automate the process but the tools are not perfect
- The public knowledge product
- Developers of open journal systems and open monograph press
- pkp.sku.ca
- Opensource software to support open access publishing
- Userbase happens to include many such small publishers who publish exclusively in PDF
- Goal: Kill PDF
- Beyond the PDf
- Things PDF don't have:
- well-structured text mining and indexing
- rendering in different formats-
- mobile
- embedding dyanmic contact
- XML publishing is difficult
- So its complicated
- Despite is having many good tools
- available at different stages at this workflows
- 142.58.129.113/dev/
- The demo
- External services
- Start with unformatted article drft
- Submission in PDF form
- Does fuzzy pdfx parsing
- XSL transformation from PDFX to XML to NLM XML
- can be turned into HTML
- Document text reflowing
- unformated article
- Submission to pdf
- turn to XSL
- Citation parsing
- Extract references and ParsCit
- ParsCit good at xml pdf
- find author and content
- Tool BibTex
- OJS plugin used soon
- PDFx
- OMP
- CrossRef
- mPach
- University of Michigan mach system
- support eBook
- HathiTrust
- CrossRef
- Automatically link in PDF
- Developers
- ]Damion Dooley
- Steve Pettifer
- Juan Alperin
- Alf Eaton
- NLM Spreadsheet
- Paulo Blilkstein
- Assistant Professor
- Reinventing Science and Engineering in K-12 Schools
- Assistant Professor
- School of Education
- reinventive science and engineering
- Problem in science and engineering
- STEM pipeline
- By 7th grade- 70% don't have any interest in science
- Self reported in science
- In 10 years people are not learning
- Trying to teach hands on science
- In a place with desks and white or black board
- If we care about swimming, we need to build a swimming pool
- You need to have an environment that fits the learning process
- Stanford created the first global project and making engineering and fabrication
- FabLab@School project
- Projects all around the world
- Renovate one big room in the school
- Create 3d printer, robotics, engineering equipment
- What can you do about science?
- People can actually make all the things that they learn about
- Don't just learn about leonardo divimci
- Do what divimci did
- Talk to phat: Actually go through thep recesses
- Students who love Bach, but no ability to play music
- Made a robot to play music
- Non-eingineer
- Students build their own microscope
- They decorate them their self
- They made their own instruments
- More engaged
- Brail: self rocking stroller
- creating solutions to problems that people have
- Young kids building their own tools
- Build new toolkits
- Bring to younger kids
- Start at a younger age
- FabLab@School
- Laulob@stanford.edu
- Renate Fruchter
- Global Teamwork 3.0
- Question: how do we harvest knowledge and foster creativity on global/macro level
- Micro to macro
- How to capitalize on core competency in global corporate competences
- space, time, technology, sickle., culture
- disrupt work process
- How do you communicate
- How do you get feedback and share ideas
- How do you let recommendations known to team members and boss
- PBL Lab creating a collaborative eco system
- Developing collaboration
- people, Places, , Devices, Network Infrustructer
- M3R
- Remote collaboration in mixed medixa mixed reality
- fusion of physical, ritual, and mobile works
- i room physical work
- 3di collaboration team space virtual world
- Real time situation status and decision making
- Combine smart board collaboration and digital space
- Multiple Channel Presence
- Face to face is best
- But multi channel presence can work
- virtual, physical, robotic, world
- Collaboration
- Integrate sensor physical presence
- Wired for feedback
- How to make so many choices
- We build on our own data
- the power of feedback is not to control you, but to give you control
- We can self resulate when we are given control
- Six steps to engagement
- I know where am
- i know where you are
- we know where we are
- we know where we want to go
- we know where we can go
- we move
- Feedback nudge
- eMoC Prototype
- LPBL Lab
- 10 key characteristics for co-colab
- 1. foster cocreation, interaction and coaction
- transform the wAY participants express ideas and solutions
- enrich forma and informal interaction experiences
- increase awareness, attention, participation, and engagement
- sustain persisntect presence of content and models
- leverage knowledge in context
- facilitate tanspacrency
- maximize flexibility
- create emergent work practice and social dyanmics
- create and mange choice
- 10 more take aways
- product from knowledge to information
- from viewing to experiencing
- group dynamics to cohesion
- to sequential to agile sprints
- to ministral activity to result acuity
- to being a source to being a a network
- to broadcast to crowdsource
- to present to participant in large space
- from multitasking to engagement
- Anthony D Wagner
- Brain Patterns and the Mind
- Dept of Psychology and Neurosciences
- Cognitive neuro scienctist
- Codirect center for cognitive and neuro imaging
- Looking at imagine to address societal problems
- cross disciplinary
- Lab is focused on neuroscience and learning and memory
- Question
- How do we learn from experience and draw on memory to informal current thought decisions and action
- how can we optimize learning including through use of immersive learning environments
- Goal:
- Direct learning to solve issues
- Interst
- Memory and disease
- 'Neuroscience for society'
- technology use and nerocognitive function
- law and neuroscience
- Look at bain imagines technology with
- Machine learning
- How to use interaction of technology to address important questions about mind and status of real world
- Functional brain imaginegs changed the field of psychology
- Memory change
- Look at brain data to inform questions about psychological function state
- At the second phase of a field
- First phase,
- "where in the brain are there changes in jeural activty
- Look at the faces scenes sounds works
- Look at patterns of activation
- See where the pattern is the change when certain events were active
- This data is being used to analyze patterns
- individual neurons can not be analyzed
- Machine learning can help differentiate the pattern
- Mutlvariate
- pattern
- classifier
- Decode what people are looking at
- Look for test patterns
- Can you decode from neural activity whether someone has seen a face or not
- Under some conditions you can be near perfect
- This can look at brain pattern to see if someone has seen a face before
- Forenscs implication
- You can look if ads are being successful
- Look at what is being remembered
- Neural evidence to see if things are being remembered
- Decoding the contents of the memory and cortical reinstatement
- Interesting that we don't need to know specifics
- But we are looking at the examples of patterns
- We don't need to know the specifics if we can analyze the change
- Hippocampus is the first to be affected with alzheimers
- if you don't have a hipocampus, you will not be able to remember
- The cue allows you to create pattern
- Scientific fiction
- judicial can look at brain acidity to know if you have seen people
- criminals create brain disease after crimes are kept
- people want to live in bliss so they are not a threat
- sincere is not perfect but has results with high possibility
- Story about cyber murders
- Coding and password remembrance
- knowledge ofspeicifc planted information
- not just faces but experiences
- Looking at what is remembered and recallable and how is can be masked
- [ep[;e willingly forget
- Training patterns
- Words and scene event
- words and person events
- Look at the result based on encoding data
- Training patterns
- Lookg for the reinstated cure
- Understanding retreival patterns
- By looking at activation
- people can decode the kind of memory content they are bringing back to life
- Look at the pattern
- See based on the stjdys
- look at the memory performance
- Can people be put in multiple virtual worlds
- S[atial coding in brain patterns: decoding virtual worlds
- scan them while mentally in virtual worlds
- Learn from their neural disturbed pattern to see if people are in the world
- brain imaging can show if people think they are in virtual world one or two
- The wedding of digital media science technology can look at legal restrictions
- People can analyze the possibilities of analyzing what world people think they are in
- Neural devices can understand expression
- People could understand mental illness
- Reasons of feeling alone or together
- Lessig
- Schools are poor
- graduation rates is low
- Bill and Malinda gates foundation has goal for 17 year goal of having 70% graduation rate
- US dropout factory
- 7/10 do not graduate from college
- learning prospects today
- k-12
- What can we design differently
- The k-12 school is 1 million minutes
- Hour long classes
- with seat time requirements
- students grouped by age
- lecture based teaching
- paper textbook is primary learning
- very little data
- reports midterm and final
- Have the [people give reports to students at every class
- Ed.gov
- national education plan
- technology plan
- very different vision
- Learning in always on network world
- The figure depicts a mobile powered by technology
- Single teacher transmits all students
- Students should be centered We have centered topics that should be taught
- We have
- We can have student centered learning
- :earning communities
- lmpw;edge bio;going tools
- peers with common interests
- onine tutoring and guided courses
- mentors and coaches
- peers
- expertise and authoritative goals
- lifelong and life wide learning
- We can have ongoing access to learning tools throughput life
- Possible that people can have connected learning
- We can bridge in and out of school learning experiences
- We can have in and out of school learning.
- We can extend the learning time because people spend less time in the school
- The national plan can have changed school structures
- Teachers can give visual learning
- The math and science quality drop rates for low income students is specially declining over the hsummer
- People can use new services to conner students to school through non class rime through games
- Conntecting merica: the national broadband plan
- Transforming american education learning powered by technology
- LEAD COMISSION: Leading education by advancing digital
- Look at the LEAD commission
- business and academic leaders who are reporting to the FCC
- Looking at a whole raft of state polices, finding better ways to aggregate their markets and gdo smart purchasing
- Whatr are learning analytics
- The simple definition
- The learning analytics is about collecintg traces to hat learners leave behind to cuimprive learning
- To improve teaching
- To develop online learning systems
- To better improve peoples learning experiences
- Personalized adaptive learning pathways through online learning systems that can dbettere support learning for everything
- Eric Duval, U. Leuven, Belgium LAK 2012
- Learning analytics is about collecting traces that learning leave behind and using those traves to improve learning
- Recommended learning resources
- More engaging and inspiring 23/7 learning: games projects and badgers for competencies
- Can we identify students difficulties early and provide the kinds of sppport needed for success
- Continulosly improvable curricula: learning networks getting smarting with every click
- Comparitve pdagogdy
- ]
- We cn A/B test th e success of certain teaching examples and solutions and difficulty
- We currently have a one-size fits all system
- Persoinalization means that sutdet get tho have a choice in what they learn and how they are taught
- Personalization, differentiation, individualization
- US DEPARTMENT of EDCUATION, National education technology Plan (2010)
- Adaptive pacing
- Adaptive peda gogy,
- personalizd learning goals.
- Grand challenge problem: Personal Learning
- The grand clang defenses a commitment by a sciienfitifc community to work together towards a common goal- valuable and ahie3vabe within a predicted
- Jim Bray: Director microsoftJim Grey: What Next? 2003) A dozen information-technology research goals: Journal of the ACM 50(1)
- Grand Challenge Problem #1
- Design and validate an integrate system that iprovides realtime access to learning experiences tutnded to the levels of difficulty and assistance that optimize learning for all learnings, and that incorporates self-improiving features that enable it to become increasingly effective thtourgh interaction learning.
- [such integration systems should
- Discover the appropriate learning reousrc4es
- Configure them with representation that is appropriate for age and background
- And select appropriate paths and scaffolds for moving the learn through there right resources with optimal level of challenge and support
- WE have learning management system
- And sequences of materials
- We don't hasave systems that perform these functions dynamically
- It would be essential to have some nonexistent systems
- What are in student information systems today?
- basic demographic
- very little grade
- Background (some judicial)
- economic
- Information and medical diagnostic information
- With digital learning
- We should have Student Information Systems
- With digital learning we would have deluge of data - 5 orders of magnitude or greater than our slim data today.
- Massive dataset e-sciece explorations have led to breakthroughs in: biology health, environmental science, astronomy, physics
- Attract these big data in education to have big data education scientists
- Need people in the education domain
- SLC
- Shared Learning Collaborative
- Alliane of states, foundations, educators, content providers, developers, and vendors.
- Project: Agile/scrum for class
- Ways for people to learn outside of school
- A cloud for learning about things in real world
- Bring outside world into the classroom
- Bring and share
- Show and tell for learning
- diverse learners
- Technology and learning maps
- Provide graphical representations of the representation for application programming interface
- Plug the curricula
- The data Deluge
- Enhaving teaching and learning through educational data mining and learning analytics
- And Issue Brief
- ]Us. Departement of educatuob
- !READ THIS'
- look at analysis o the benefits and real outcomes from the EDM (Leanring analytics) ago improve learning process
- What are the problems with big data in education
- There is a difference
- Computer interactive learning analytics
- vs
- ultimo dal learning analtycis:
- CILA: Caputer fine grained interact6ion: keystrokes, clickstream
- Look at relations between large systems an relation between nation and departments
- MLA
- Drings up sensor and emotion
- Have privacy issues
- !LOOK MORE AT THIS
- What are the scientific problems?
- A lot of these are modeling chanllgnges
- learning what the use knows based on aaho wt h eysintercaft
- With the systems
- We need to model the user behavior
- User emotion
- D o they like it? About to quit?
- user profiling ]
- Beign asble to
- Domain odeling
- User knowledge, user beahvirior, anuser ex[erience molding, user profiling, domain modeling, learning com[ponenet analysis
- We need edicatopm data scoemtosts tp make progress on those issues
- ` The complex reasons
- challenges of personalization
- Pacing, tayloring, recommendation
- Interactive data visualization systems for
- look not just at retrospective guidance, but runtime guidance to see how their efforts are improve the success
- Look at realtime ability to see how people are learning
- The relationships of being alb to the creft the economic markets
- Look at how learning markets
- We ail be cable to decide that people are able to control the learning makreta
- The statistics and study about learning can directly be related yo the schools.
- look at the figures of learning urges
- infomrnuing curriculum designs, based on discover of learning curves t]
- Visualizations can visualize the students error rates and understand how students are progressing or making mistake to make sure that the state of information being distributed in best fit for the students
- The study can be given for knowing where the error rates are
- This would show that we could remove time away from the unnecessary areas and focus time on the difficult
- rescue wasted tacking if you know people are learning from the beginning
- Focus on parts that re more difficult and how people can be
- Look at how SLC shares the data that it creates to collect this information and present in ucha away that allows users to start and maximize learning
- provide immediate feedback to the teahcers to maximize the effort beings spent
- Look at variables: Teachers effort, ttiem spent to teacher,
- look at the law s around teaching
- Legal issues are that styes have different lawaw werlated to sharing data4e
- so you could bnot work across borers or states because they data can not be use
- Labeling issues are difficult]
- Labeling can be unproductive sometimes if they were not labeled
- So there are issues associated with labeling
- earner profiles would create many secondary issue associated with what roles an who would have access to the stereotype ricks
- student profiles associated with stereo type threat
- people in administrative situstioanrs care not alrwa as
- National Science Foundation is getting more active in the learning
- "Dear ColleAGUE ;ether = data =tenseie edicatoipn= related research
- Society for learning analytics focusing on analytics research
- Learning analytics work group
- Working together to increase arguments for spending more money on the learning technology development fields
- There are no degree programs in the subjects
- ie. learning analytics, learning analytics data science, education data science
- Need new prosodic programs
- New data sincere fields
- Graduate training promra
- Gates Foundation
- Would follow a given on focused for human capital development plans
- Scoping priorities in research tropics and tools for in airy
- REQUEST TO GET INVOLVED
- Pamela J. Hinds
- Identity and performance
- Reativity and feedback
- Cultural context
- Talk with spady about differences in culture
- Look at Distributed Work
- Request slides and reason at school
- Iterative prototyping
- Learning quickly about their flaws and constraints
- Hope to result in better builders
- Look at focus and culture
- Look at the creative process and iteration
- Look without feedback the second time
- what happens when you have iteration with feebacj and without feedback
- Looking if national background made a difference in innovation
- Look at the conditions
- Feedback in middle and end
- Objective feedback
- Statistics
- Numbers
- Look at
- No differences contrary to popular belief that there is no difference in creativity
- Westerners did better with iteration rather than not iterating
- Eastern countries did worse with iteration
- Study: Culture and Iteration
- West was more creative when they didn't iterate
- East became less
- IterationxCulture
- Feedback is good for westerns when iterating
- Westerners increase in engagement with feedback
- But feedback doesn't not increase creativity
- Stereotype Threat
- Influences the creativity and engagements are
- Team of westerners benefit from iteration with feedback, but are less creative when there is no feedback:
- it may suggest that iteration is undirected without feedback
- Teams of easterners creative performance is harmed by iteration with feedback, but creativity is increased without feedback.
- What is the role of creative self-efficacy ( Tierney and Farmer, 2002, 2012) and tolerance for struggle
- Tolerance for struggle:
- We learn in the West that when we struggle, that we are not smart and its not good
- But in other countries, tolerance for struggle is valued more than the right answer
- The creativity may be influenced by the values in different countries
- Look at the cultural values and context comes into play
- How does a task come into play:
- Was a redesign of the student union less inspiring of novelty?
- Look at other relations of culture, interation, creative, focus, internal, external, mixed cultural groups, feedback, feedback
- Question: look at the groups of people who changed over their culture and returned home.
- The culture of people who were in oneCenter for Work Technology Organization
- Clifford Nass
- Four most important things to know about media and their implications
- just got off sabbatical
- Psycology of media
- CHIMe Lab: communication between humans and interative media
- Five important questions
- Why is media use continuing to grow
- How has media changed human relationships
- What is the most important locus of media growth
- How has emotional life changed?
- 1. Growing media use
- Media use is growing in all age groups
- Teens
- Music is consumed in enormous quantities
- Tweens
- average 12 year old has a cell phone 3 years ago
- average 9 year old have a cell phone now
- Adults
- Respond to emails
- have open multiple chat windows
- Kits
- More than cellphone
- Legos moved online
- What lessons teachers in legos
- when missing a part
- When you can't take them apart
- Systems are perfect
- Babyes
- When parents are brest feeding
- they watch tv that parents are watching
- What is driving the chang?
- Partial Media Displacement
- New information product and service appears
- It steals time fro other information activities
- Doesn't steal all the time
- And steals it from non-media activities
- We don't have a fixed media time budget
- We have an increasing lessen time available media
- Media stealing time from sociall rich interaction
- simultaneous talking and device usage
- parallel play
- before people can play together, they play side by side
- Adults have parallel play
- people on their own laptop or tablets
- Non-social interactions
- Just proximate
- Inflection point
- Media displacement time
- Parallel media use
- Double and triple booking
- Multitasking
- Drive to increase media use
- Multitasking is an outgrowth of media time displacement
- Students use 4 media at one time
- Horizontalization of media use
- aka multitasking
- Implications to multitasking
- Continued growth of multitasking
- with concomitant cognitive and social deficits
- its bad for people
- Selling attention becomes challenging and implications
- Measuring attention becomes challenging
- Because attention is nota single investment
- Decoupling makes it difficult to know where people are paying attention
- Immersion becomes devalued
- And there are conditions set for people to allow themselves
- Multitasking is bad for the brain
- it requires more mental power
- people follow to feel better about thinking
- Analyzing barney
- Ilove you
- you love me
- we're a happy family
- great big hug and kiss
- won't you say you love me too?
- (even thought no one can hear but its important)
- we are friends as friends should be
- (faceeeeebook)
- You don't see each other, but because you can contact through media, you define friends
- Implications
- devaluing of face-to-face communication
- attenuation of trust
- fame as the #1 value in pre-adolescents
- It used to be compassion and community
- Not personal and about people (social)
- Social media algorithms create definition of self
- classic sociology talks about we learn through interacting with others
- Social media gives us content thats defines who we are
- Creation of self is not done through person to person
- its done with person through algorithm
- 3. Most important locus of media growth
- automobile
- increasing automation means more attention to media
- limitations of external distractions means more multitasking
- implications
- Models for expelling partial intelligence
- SIRI doesn't explain why you are getting the wrong answer
- It doesn't give feedback how % its correct
- Playground for varied screen sizes
- Car windshields are a big screen
- Playground for new interface paradigms
- Innovation is coming out of car companies
- Manifesting brand
- People want SIRI to control car
- Interface companies are owning the car experience
- SIRI aka Apple owns your car experience
- 4. How has emotional life changed?
- Social media was the place to discuss hard-to-discuss feelings
- Facebook is the happiest place on earth
- supplanting disneyland
- Faces
- All the faces are happy
- People don't see the sad
- Algorithim circulates the happy ]
- Because people don't like the sad
- Then people create happy
- Because they want likes
- Sadness vanishes from social media
- Negative feelings are the hard one
- Tolstoy
- "All happy families are alike, but all unhappy families are unhappy in a different way"
- Implications
- Young people do not get to practice negative feelings
- Never see negative feelings so people don't know how to manage negative feel ings
- People don't know how to manage their negative feelings os they become sadder
- Young people and increasingly everyone have less skills in
- Emotion regulation
- emotion reading
- working with other's emotions
- high multitasks are not as good at knowing peoples emotions
- People think that stye are less happy than the average person
- depression
- social anxiety
- Problems associated with cognitive development
- Biron
- Where do you work?
- Where do you play?
- What do people think about where they play?
- They love it
- Feedback
- Never question
- Always know about contribution to the team
- Visually rich environments
- Money and time evidence
- How do get world together
- Harvard Business Review
- HBR.org
- About Games
- What are the intersection
- games are big
- new generation
- different tolerance for risk
- failure is not a problem
- try again
- there are recipes for great games
- there is a science about the recipe
- gamers already do work
- Looking at similarities to work
- making judgements
- categorizing content
- working in teams
- play is NOT the opposite of work
- engagement is a good business
- Demographic
- Games are played by
- mid-30's
- involvement in games
- are lower BMI
- Higher social network
- Better grades
- The ingredients for successful games
- self presentation
- narrative
- feedback
- transparency
- teams
- economies
- ranks and levels
- rules
- communication
- time pressure
- Company problem
- Engagement is important
- Why did people quit?
- Didn't know if they were making a contribution
- Didn't feel fun
- Didn't feel any control
- Engaged people are:
- Passionate connection to work
- Believe they can impact quality, customer satisfaction, costs
- They are less than 30% of the workforce
- Games and
- entertainment, sales team competitions, safe driving, diabetes bolo tests, home energy use, brushing teeth, carrier landings, delivery truck loading + routes, chip manufacturing estimates, taking medication, drive time lotteries, consumer help on forums, software debugging, tank driving, filling out forms, physical activity, surgical competence, folding RNA molecules, public transit contests, software testing, retail scanning accuracy, palette loading, call center speed + quality, AGIE computer teams, security video footage
- Gamification is not
- pointsification
- but it can include it
- Using leader boards
- Making interface and commercialize games
- Imagine:
- A security job thats like a game
- You "can" find a bad guy
- Add in virtual issues
- What are the most important ingredients
- Its more arousing to be apart of a narrative
- Applying game
- Dangerous
- Powerful also means dangerous
- There will be disruptions
- discouraged losers
- jealous bosses
- employment and hr issues
- abridgment of privacy
- avatar mistakes
- anti-social narratives
- repetitive stress
- StartX
- Community
- Trust
- Mentorship
- Customized Education
- Organized access to opportunity
- Resources
- cjtman@startx.stanford.edu
- founding guy
- Reid
- Cloudfleaps
- dashboard for information
- Didn't come to start a company
- Felt optimasm
- Anything is possible
- Generosity to provide answers to all questions
- Access to other contacts
- To build a new foundation
- Coursera
- Look at the pedagogy of the Coursera about section
- Standard lecture
- Mastery
- Personalizede
- Nemo
- Question: how do you design calm?
- Or relive the memory of calm
- When are you most productive
- when are you most creative
- when are you the most innovative
- Boris Deroiter
- Ambient Intelligence
- many individble distributed devices throughout the environment that are integrated into our lives
- System intelligence
- that know about their situational state
- that can be tailored toward our needs
- that can change inrespoend to your environment
- social intelligence
- experience Research
- Context studies
- collect user insights and requirements
- lab studies
- test usability and user acceptance
- field studieds
- validate and study longer term effects
- Crowd-powered systems
- Articles
- data collection, machine learning training, user studies, social science experiments,
- games with a purpose
- collective action
- historical roots: distribute
- crowd-poewred systems
- Challenge: Quality
- 1000 participants on amazon mechanial turk flip a coin and report 'h' or 't'
- Interactive systems that embed crowd intelligence
- computational techniques that product high-quality, fast results
- Paid crowd sourcing
- Amazon mechanical turk
- Large number of tasks for not so much money
- pay small amounts of money for short tasks
- amazon mechanical turk: roughly five million tasks completed per year at 1-5 cent each
- population: 40% us, 40% indeia
- Soylent: word processor
- Wordprocessor that recruits crowds to aid complex writing tasks
- embeds crowds as first-order building blocks in a software system
- decomposes open-ended tasks
- Shortn
- Crowdproof
- Using people to get perspectives
- human macro
- people will go over and bib text
- Two personas - an example
- lazy
- proofread and giveback
- does as little work as necessary to get paid
- overdone
- Result can be low-quality work
- programming with crowds today is haphazard: we lack design patterns
- Solution: Find-fix-verify
- find-fi-verify is a design pattern
- find:
- find an area that can be shortened
- collect a lot and look for independent agreement
- Fix
- have it fixed
- verify
- send it back to the application
- Does this work?
- how high is the quality
- how long does it take?
- how much does it take?
- Adrenaline: real time crowd sourcing
- Crowds in two sections
- votes in five seconds
- Votes across 100 frames
- Synchronous crowds
- Crowds can be faster than any individual member
- Rapid refinement
- Genreate and vote
- Genrate one
- Integrate social and crowd intelligence as core parts of interaction, software, and computation
- crowd powered systems enable experiences that neither crowd nor machine intelligence can support alone.
- computation ail be critical to the wisdom of the crowd
- hci.stanford.edu/msb
- Jeremy Balenson
- digital footprints
- a decade of media-x research on using nonverbal behavior to predict behavior
- vhil.stanford.edu
- Can we predict a person's future behavior?
- honest signals
- alex pentland
- unconcious nonverbal ocial signals
- evolved from animal signaling mechanism
- unmatched window into our intentions
- Historical attempts: small amounts of data
- Sigmund Freud
- Hours and hours of repeated therapy
- Historical Attempts: obtrusive
- trying to measure non-verbal behavior or MRI is clunky and difficult
- When you measure it, you change it
- Historical Attempts: Laborious
- Paul Eckman
- Trying to code visual coding
- Trying to infer emotion
- Takes hours of time to analyze
- Historical attempts: biased by theory
- You are biased by theory
- Need to use your theory
- Need to nod and smile
- Limited by what your brain/theory can fathom
- If you have massive non-verbal data that you don't have to comb by hand, it frees you from your paradigm
- Digital footprints today
- Kinetic Explorer using for non-verbal data
- State of computer vision that emits sources of energy
- Micro "Big Data"
- Our approach
- 10 years ago
- do a test:
- capture non verbal features
- calculate statistics
- time
- frequency
- train learning algorithms
- Train-test paradigm
- test new cases
- Question: can you see facial expression to predict a car accident
- Yes
- Question: can you prevent operator fatigue
- Moniter movement while subject participate in a simulated work line
- predict performance
- Errors can be tracked based on face
- Question: can you manage shopping and know when someone is buy/wants to buy?
- Question: Personality/demographic
- Moniter 80 students for 40 hours over six weeks in second life
- collect all input data every second
- Based on movement
- calculate race, gender, gap, weight,
- Question: can you predict if a person is Learning
- Look at two people do see who is learning or not
- non-verbal pattern with student and teacher
- Ethics;
- What kind of experiences bring out the best in people
- What is the role of technology in our lives
- What questions can we explore with us to add value to the work we do?
- Keynote
- Larry Lessig
- The forbidden problems
- Talking about something old, new, borrowed, and new
- Talking about something old
- 1 Public and private goods
- Public goods: Defence
- private goods: underwear
- Defence
- publicly provided
- underwear
- privately provided
- generalizations: we should publicly or privately provide respectively
- Fable of the bees or private vines
- We talk about Adam Smith
- Wealth of nations
- Peoples motivated by perfectly private moties, can not provide public goods
- He intends only his own gain, but is led by an invisible hand which is not his own intention"
- Sometimes we can get the public good in purely private motive
- Anarchists as wrong as
- sovialists
- We don't need an extreme. We can have an in between.
- 3 Dan Bricklan
- Partnered to create visical
- "The cornucopia of the Commons: HJow to get volunteer labor
- Talked about napster
- suggested we came to a social sharing
- [soviet msusic here]
- Explained sharing as a by-product
- Byproduct of what people wanted
- Default code: your music is shared
- Default produced the "public good"
- No altruistic sharing
- It was just the default
- Same could be said of CDDB Server
- Acquired by grace note
- You could put a CD in a and the data would be collected
- "design the database so people use the data they enter, thus increasing the potential for them to use it"
- "Public good is the by product of a private good.
- Not quite public.
- Corporate good to be eact.
- Forexample.
- Google:
- They use it to produce a better research engine.
- Like Apple,
- Wchich takes the data we give it and produces a better corporate good
- Like MAazon, Like net flicks.
- And Facebook
- And all the other people.
- There are two economies.
- The commercial, sharing
- Whoops, theres a third.: The hybrid.
- Sharing entity leverages a commercial economy.
- Its hybrid because it used both.
- Not unroblematic.
- What are the issues with having relations between the two?
- Does this culture of participation build business on our collective backs?
- Social justice in the "Facebook" state
- What is the relationship between the corporate value and the private groups that produced it.
- Sharecroper relations?
- Like free production???
- slavery?
- Back in the past
- Center story was
- "Dear Facebook: without the commons, we lose the sharing web.
- Terms of service around instagram
- The salience of this corporation produced on top of the labor of individuals
- When you frame it as exploitation
- The obvious answer for this question is...
- Lok at the software layer
- Open source guy
- "Would commercial entities be allowed to profit from this production?"
- in the GNU software, he said
- Theres a basic social contract
- Copyleft
- Commercialize Galore.
- Make as much money as you can.
- So long as you leave as free what you took before and contribute back the improvements you made
- Redhat's profit
- Thats the social contract that free software had
- And wikipedia.
- Modifications must be licensed back freely
- The software layer seems to be solved
- ?But the con tent layer is not solve
- "Bushified: Internets"
- Internets were combined, but
- Now they are islands of innovation
- Rules to own
- Permissions to particiapte
- Only one that shares:
- Yahoo: Flicker
- The only one that expresses no control of its innovation
- Microsoft Exec denies trying to harm netscape: LA times 1999.
- Microsoft's decision to control who could develop on their platform
- Today air supplies are cut all the time.
- The industry takes the right to decide who gets to innovate and how
- We see pushback from that control being exercised
- APP .net
- Twitter inspires a developer's revoke
- "Are tired of being betrayed by so-called open platforms that suddenly change their terms of use to blithely destroy young and growing businesses
- Dalton Caldwell Punches Facebook
- Years ago, this was a federal government problem
- Now its a normal.
- 3. The hybrid economy is learning something.
- It its learning about the limits in which it lives.
- earning about what it can do.
- Learning that sharecropping can not be understood as the way it does
- Its not sustainable
- its notThe
- These companies are questioned
- 3. Corporate goods produced as a by product of public goods.
- Are corporate goods going to be produced only as byproducts of private goods?
- There is a good from what I want
- Is there also a good from what I ought to do
- Not just what I want, but also what I ought to do
- Good not just from choice
- Good also from coercion
- Coersion?
- Not state based coercion
- The possible public goods that come from architecture based coercion
- Code based constraints
- Getting us to do the things we need to do
- 4. New v2
- focus on a specific problem.
- Once upon a time.
- Lester-land
- Politicans: Lester election and general election
- Lesters are the only one that vote
- Citizens and vote
- To be allow to run in the general election
- You must do well in the Lester election
- What can we say about congress?
- Supreme courts of the united States
- The people have ultimate influence over general elections
- They only have their say after they have their say in the gnereal elections.
- To keep the pesters happy
- Any reform that angers the pesters in lester land is highly unlikely
- $$$ Election
- Funders vote
- To run in general election you need to do extremely well
- There are just as few relevant funders in the united states
- As there are pesters
- .3% of america gave more than 200$ to election
- .05 gave maximum amount
- .01% gave 10,000 or more
- .0003, gave 100,000 or more
- .000042 (132 americans) gave more than 60% of the super pac amount
- The relevant amount of americans is .05
- The funders are our Lesters
- The funders vote
- dependence upon the funders produces an subtle bending to keep these funders happy
- Members of congress spend 30-70% of time raising money to get their party back in power
- They develop a sixth sense to raise money
- Shape shifters to raise money
- Westly
- Always lean to the green "He was not an environmentalist Reform that would anger the funders is highly unlikely United states is worse than Lesterland
- Its at least possible for pesters to be helpful
- The pesters act for the pesters
- Shifting coalition that drives the .05%
- Lesters are the decision makers
- iLesters are not drivers in public interest
- In our land
- Conflicting dependence on funders and pepolpl
- This is corruption
- This is not corruption
- rob legoivitch
- This is not illegal activity
- All is completely legal
- Instead: Legal corruption
- Corruption relative to the baseline
- A republic: representative democracy
- Feberalist 52
- A brand h of government dependent on the people alone
- The people: Problem
- Congress has evolved a different dependance
- Dependance on the funders too
- A dependance TOO
- Its legally not the problem as long as the funders are the people too
- Amsericans are right to believe
- Americans believe money buys votes in congress
- 75% of maericans believe money buys votes
- 81% in republications
- 71 in democreates
- Americans believe
- That believe erodes trust
- 9% of americans believe in congress
- At the time of the american revolution
- a higher percentage believed in the royal crowd
- Rock the vote
- highest
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