The document summarizes a mapping session at a GigaOM RoadMap conference on next-generation user interfaces. The session included a discussion on disruption vectors in technologies, business models, and user adoption patterns. Panelists assessed the relative importance of new input methods like gesture and voice, new output methods like visual and haptic displays, and leveraging big data. While Siri failed to fully realize its vision, no single disruption vector was identified, but rather input, output, and data technologies were seen as having roughly equal impact, likely leading to multiple specialized user interfaces for different contexts and tasks.

1. Mapping Session at GigaOM RoadMap
Conference November 5, 2012:
Next-generation UIs – What comes after Siri?

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. Panelists
GigaOM 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 Research
https://pro.gigaom.com/members/davidcard/

4. Sophisticated WoW Display
©2012 Collaborative Strategies

5. Heads Up Displays Sold Today
Recon Mod live Alpine Goggles
©2012 Collaborative Strategies

6. The technology-packed AirWave snow goggles
have GPS, jump analytics, caller-id, text
messaging, Bluetooth, and music controls, all
available from a heads-up display. Oakley
Products
©2012 Collaborative Strategies

7. Minority Report Computer Display
©2012 Collaborative Strategies

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. Wireless Headband portable EEG
Muse lets users monitor their brain waves on mobile devices
Want to know what your brain is up to? Soon, it may be as simple as
slipping on a wireless headband, then accessing an app. That’s the
idea behind Muse, a wearable device developed by Toronto-based tech
company InteraXon. Essentially a lightweight portable EEG
(electroencephalography) machine, it lets users monitor their neural
activity in real time via their mobile device.
©2012 Collaborative Strategies 9

10. The Big Data Visualization Problem
Tables are to BigData Visualization as Folders are to the File System

11. Data Artists – Art + Math

12. Example: Wind Map

13. Example: AlloSphere (the Sound of Data…)

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. 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. 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