Mapping Session at GigaOM RoadMapConference November 5, 2012:Next-generation UIs – What comes after Siri?
Mapping Session Outline• Interactive discussion• Input into GigaOM Research analysis• Identify “Disruption Vectors”   – Ke...
PanelistsGigaOM Pro analysts• David Coleman – Founder and Managing Director, Collaborative   Strategies Inc. https://pro.g...
Sophisticated WoW Display            ©2012 Collaborative Strategies
Heads Up Displays Sold Today  Recon Mod live Alpine Goggles                      ©2012 Collaborative Strategies
The technology-packed AirWave snow goggleshave GPS, jump analytics, caller-id, textmessaging, Bluetooth, and music control...
Minority Report Computer Display              ©2012 Collaborative Strategies
Options for Neural Interfaces                                           The BrainGate2 Neural Interface Can show you on a ...
Wireless Headband portable EEGMuse lets users monitor their brain waves on mobile devicesWant to know what your brain is u...
The Big Data Visualization ProblemTables are to BigData Visualization as Folders are to the File System
Data Artists – Art + Math
Example: Wind Map
Example: AlloSphere (the Sound of Data…)
Some Questions• Why has Siri flopped? Can Apple still innovate in UI, post-Jobs?• What can we learn from twin-screen TV vi...
Potential Next-Gen UI Disruption Vectors•   New input methods 30%     – Gesture     – Voice•   New output methods 30%     ...
Key Takeaways• Siri’s grand experiment overreached:    – Voice input and output    – Multiple data sources based on contex...
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This is the background and highlights of a GigaOM Mapping Session on "Next-Generation UIs." The session took place at the GigaOM RoadMap conference on November 5, 2012.

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  • http://petewarden.typepad.com/searchbrowser/2011/11/lessons-from-failed-visualizations.html
  • http://www.nsf.gov/discoveries/disc_images.jsp?cntn_id=121535&org=NSFhttp://www.allosphere.ucsb.edu/media.php
  • Mapping sessionu ispost

    1. 1. Mapping Session at GigaOM RoadMapConference November 5, 2012:Next-generation UIs – What comes after Siri?
    2. 2. Mapping Session Outline• Interactive discussion• Input into GigaOM Research analysis• Identify “Disruption Vectors” – Key technologies, business models, customer adoption patterns – Smart companies can ride or drive Vectors to revenue, market share gains• Assess their relative importance• Mapping Session results as GigaOM Pro blog post, continued discussion• Later – apply Disruption Vector analysis to Sector RoadMap report
    3. 3. PanelistsGigaOM Pro analysts• David Coleman – Founder and Managing Director, Collaborative Strategies Inc. https://pro.gigaom.com/members/davidcoleman/• Larry Cornett – Founder, Brilliant Forge https://pro.gigaom.com/members/larrycornett/• George Gilbert – Principal, TechAlpha Partners https://pro.gigaom.com/members/georgegilbert/• Lynn Langit – Founder and Consultant, Lynn Langit Inc. https://pro.gigaom.com/members/lynnlangit/David Card, VP, GigaOM Researchhttps://pro.gigaom.com/members/davidcard/
    4. 4. Sophisticated WoW Display ©2012 Collaborative Strategies
    5. 5. Heads Up Displays Sold Today Recon Mod live Alpine Goggles ©2012 Collaborative Strategies
    6. 6. The technology-packed AirWave snow goggleshave GPS, jump analytics, caller-id, textmessaging, Bluetooth, and music controls, allavailable from a heads-up display. OakleyProducts ©2012 Collaborative Strategies
    7. 7. Minority Report Computer Display ©2012 Collaborative Strategies
    8. 8. Options for Neural Interfaces The BrainGate2 Neural Interface Can show you on a System detects brain signals that can screen what area of the be translated by a computer into brain are involved in a machine instructions, enabling specific task thought control of robotic devices. ©2012 Collaborative Strategies
    9. 9. Wireless Headband portable EEGMuse lets users monitor their brain waves on mobile devicesWant to know what your brain is up to? Soon, it may be as simple asslipping on a wireless headband, then accessing an app. That’s theidea behind Muse, a wearable device developed by Toronto-based techcompany InteraXon. Essentially a lightweight portable EEG(electroencephalography) machine, it lets users monitor their neuralactivity in real time via their mobile device. ©2012 Collaborative Strategies 9
    10. 10. The Big Data Visualization ProblemTables are to BigData Visualization as Folders are to the File System
    11. 11. Data Artists – Art + Math
    12. 12. Example: Wind Map
    13. 13. Example: AlloSphere (the Sound of Data…)
    14. 14. Some Questions• Why has Siri flopped? Can Apple still innovate in UI, post-Jobs?• What can we learn from twin-screen TV viewing?• Should the same UI drive a phone, a PC, a tablet, and a TV set?• Same question, but with a task orientation?• Where are the opportunities for Big Data feeds and visualizations to play out?• Facebook, Twitter, Google - there’s a lot to be said for utility and ranking algorithms, but where’s the pizazz? Don’t say “Pinterest.”
    15. 15. Potential Next-Gen UI Disruption Vectors• New input methods 30% – Gesture – Voice• New output methods 30% – Visual – Aural – Physical/haptic• Big Data 30% – Geo, time, other contextual – Including impact on sorting, suggesting algorithms• Less consensus on impact of: – Passive participation, including alerts, in-car, second screen, etc. – New metaphors – New, or multiple devices – Enterprise versus consumer tensions
    16. 16. Key Takeaways• Siri’s grand experiment overreached: – Voice input and output – Multiple data sources based on context – Conversational UI doesn’t impose enough structure on searches; no APIs• No dominating “Disruption Vector” for UI – Consensus: roughly equal impact from Input, Output, and Big Data technologies• Likely outcome: multiple UIs for different contexts, tasks• Enterprise UI moving from transactional to collaborative• Opportunities in ambient interfaces – partial attention, alerts

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