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Proactive Displays 2006 01 11  U W Compressed
 

Proactive Displays 2006 01 11 U W Compressed

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    Proactive Displays 2006 01 11  U W Compressed Proactive Displays 2006 01 11 U W Compressed Document Transcript

    • Revelationary Computing, Proactive Displays, & The Experience UbiComp Project Joe McCarthy Connector in Chief Interrelativity, Inc 11 January 2006 interrelativity.com Outline What’s the Problem? What’ Convergence Sensing technologies (RFID) Digital signage Online revelation Proactive Displays The Experience UbiComp Project Future Extensions 2 interrelativity.com 1
    • Overview Interrelativity develops software that integrates sensing and display technologies with online personal content and promotional content to help people relate to one another in shared physical spaces Bringing the best of virtual communities to physical spaces. 3 interrelativity.com The Problem We are social: fundamental need for a sense of belonging We are shy: 48% of US population is chronically shy We want to relate to and connect with others, but are often unable or unwilling to do so Even at times and places specifically designed to encourage connections (“third places”) (“ places” 4 interrelativity.com 2
    • The Solution: Proactive Displays + + = Better Large Physical Online Real-world Displays Tokens Profiles Interactions 5 interrelativity.com Convergence (1) Sensing technologies (RFID) Digital signage Online revelation 6 interrelativity.com 3
    • What is RFID? Energy Clock RFID RFID Computer Transponder Interrogator Data Radio frequency identification (RFID) Si is a generic term that is used to describe a system that transmits the identity Coil (in the form of a unique serial number) Encapsulation of an object or person wirelessly, using radio waves. [RFID Journal] RFID Transponder [Roy Want, Intel] 7 interrelativity.com RFID in Access Control Countries Buildings Ski resorts Containers 8 interrelativity.com 4
    • RFID in Asset Tracking At school Documents Beer kegs & Folders Airline luggage On the bus Livestock Salmon Pets At the park 9 interrelativity.com RFID in Healthcare Medications Patients Equipment Surgical sites Blood 10 interrelativity.com 5
    • RFID in Transactions ExxonMobil SpeedPass MasterCard PayPass Illinois Tollway I-Pass PowerPay 11 interrelativity.com RFID + Mobile Phones KDDI RFID readers Active & Passive NTT DoCoMo n901iC FOMA® Sony FeliCa chip (+ surround sound, card scanner…) scanner… 12 interrelativity.com 6
    • RFID + People VeriChip (Applied Digital Solutions) 13 interrelativity.com Convergence (2) Sensing technologies (RFID) Digital signage Online revelation 14 interrelativity.com 7
    • Digital Signage Walkways Times Square, NYC Bristol, UK Glasgow, Scotland NYC Subways 15 interrelativity.com Digital Signage Malls Mall at Millenia, Orlando Las Vegas Sandton City, South Africa Flasma @ The Plaza, London DestiNY USA, Syracuse 16 interrelativity.com 8
    • Digital Signage Transportation Basel Airport (CH) Elevators Train cars, Kiev Bus stops Buses Chicago O’Hare (Mequon, WI) (Milwaukee, WI) 17 interrelativity.com Convergence (3) Sensing technologies (RFID) Digital signage Online (& offline) revelation 18 interrelativity.com 9
    • Revelation in the Physical World 19 interrelativity.com Revelation in the Digital World Newsgroups Instant Messaging eCommerce Weblogs Online Dating Social Network Systems 20 interrelativity.com 10
    • Revelationary Computing Bridging the gap between digital & physical worlds Revealing digital representations of self in shared spaces in the physical world Incorporating physical world references into digital representations of self 21 interrelativity.com Revelation via Proactive Displays Displays + sensors (+ algorithms + policies + …) Public displays that can sense & respond appropriately to the people & activities taking place nearby Implicit, ambient, background (periphery) Issues: Context(s) Context(s) Where should they go? Content What should they show? Control How will they know? 22 interrelativity.com 11
    • Experience UbiComp Project Desire for mutual revelation show & tell about you & your work learn about others & their work Restricted contexts Paper / panel sessions Demo / poster sessions Reception / breaks Available content Explicit: registration info Implicit: homepage data mining Control Register, activate and wear tags during the conference Opt out at any time (delete profile, discard tag) 23 interrelativity.com Registration 24 interrelativity.com 12
    • Activation 25 interrelativity.com Experience! AutoSpeakerID Ticket2Talk Neighborhood Window 26 interrelativity.com 13
    • Neighborhood Window AutoSpeakerID Ticket2Talk Kiosk 27 interrelativity.com AutoSpeakerID Keynote/Paper/Panel Q&A “augmentation” augmentation” RFID: antenna (microphone), tag (badge) Display photo, name, affiliation Visual augmentation of common [oral] practice 28 interrelativity.com 14
    • AutoSpeakerID 29 interrelativity.com Ticket2Talk Coffee Break Explicitly provided content Single person (at a time) 30 interrelativity.com 15
    • Ticket2Talk 31 interrelativity.com Ticket2Talk Queue Management: balancing freshness & fairness Tag recency: + (TimeOutPeriod − TimeSinceTagSeeni ) Pi = w1 ⋅ Ticket recency: - TimeOutPeriod min (NumTickets , TicketCounteri ) Minimize thrashing × w2 ⋅ “5 seconds of fame” fame” NumTickets 32 interrelativity.com 16
    • Neighborhood Window Demonstrations & Poster Session Implicit content (mined from homepages) Groups of people (& their words / phrases) 33 interrelativity.com 34 interrelativity.com 17
    • Neighborhood Window TouchGraph™ visualization tool TouchGraph™ People (picture, name) Words from homepages (and/or interests) N “unique” words (TFIDF) unique” 2(N–1) “shared” words 2(N– shared” Crawling Only within domain Issues: frames, size, language Phrases NP = [adjective]* noun+ [PP]* PP = preposition NP 35 interrelativity.com Evaluation Post-conference survey Post- 500 attendees 200 participants (registered + activated) 95 respondents (61 were participants) Positive Negative No Impact / Null Mixed Impact AutoSpeakerID 70 6 13 6 Ticket2Talk 40 3 33 19 Neighborhood 21 2 39 33 Window 36 interrelativity.com 18
    • Experiences AutoSpeakerID 50% of questioners’ tags detected questioners’ Introductions: oral only, visual only, visual + oral Spelling, intelligibility (international conference) Ticket2Talk Conversations, awareness about new & old Amarone, kitesurfing, scuba diving, PLAY Studio Amarone, kitesurfing, Neighborhood Window Similar to T2T, though more of a novelty factor (and more noise) Common acquaintances (co-authors, conferences) (co- “red bishops” bishops” 37 interrelativity.com Unanticipated Experiences AutoSpeakerID Ticket2Talk Neighborhood Window “death valley”, UbiDave valley” 38 interrelativity.com 19
    • Sample Tickets 39 interrelativity.com Sample Tickets 40 interrelativity.com 20
    • Lessons Learned Prepare for failure Networking issues Prepare for success No kiosks like more kiosks (5% vs. 50% vs. 95%) Don’t be overprotective Don’ Expect unanticipated uses … within limits Design for noise Expect noise, leverage it in the design Limits of “informed consent” consent” Conflict between statistical paradigm and UI paradigm 41 interrelativity.com Future Work: Application Extensions AutoSpeakerID Additional sensors (floor) Ticket2Talk Queue management (> 4 people) Neighborhood Window Mining algorithms Visualizations 42 interrelativity.com 21
    • New Sources of Content Repositories Devices 43 interrelativity.com New Contexts Digital Homes Implicit sharing of digital media Family / visitors’ photos visitors’ Digital Workplaces Knowledge management through serendipity Nameless faces / faceless names Digital Third Places… Places… 44 interrelativity.com 22
    • New Contexts The Great Good Place: Cafes, Coffee Shops, Bookstores, Bars, Hair Salons, and Other Hangouts at the Heart of a Community Ray Oldenburg 45 interrelativity.com Related Work Highways Alaris E-boards (www.alaris.net) 46 interrelativity.com 23
    • Looking forward Three key issues for Proactive Displays Context Where should they go? – Trust, desire to relate to others – Macro & micro Content What should they show? – Type: images, text, video, audio, … – Storage: local vs. remote Control How will they know? – Implicit vs. explicit revelation – Anonymity vs. accountability 47 interrelativity.com Policy, Legal & Ethical Issues Content Copyright issues Offensiveness Contexts Liability Ownership of Sensor data Physical association with digital content Risks (& rewards) Accountability 48 interrelativity.com 24
    • Collaborators Experience UbiComp Project (Intel Research Seattle) Interns David Nguyen (Nokia Research), Al Rashid (Univ. Minnesota), Suzi Soroczak (UW Information School) Evaluation David McDonald (UW Information School) Interrelativity, Inc. Khai Truong, Chief Technology Officer 49 interrelativity.com For more information Joe McCarthy joe@interrelativity.com Proactive Displays http://interrelativity.com/ http://interrelativity.com/ UbiComp http://www.ubicomp.org http://www.ubicomp.org Thanks! … Questions? 50 interrelativity.com 25