Mapping Session results: Next-generation user interface November 20, 2012Posted by David Card in Uncategorized.
Tags: multi-screen applications, Social Media, user interface, User interface design, user interface technologies, work media tools
At the GigaOM RoadMap conference, GigaOM Research hosted a Mapping Session on “Next-generation UIs: What comes after Siri?” We wanted to take the pulse of conference attendees on what they thought were the market forces driving user interface innovation, and whether post-Jobs Apple would remain at the forefront.
GigaOM Research analysts David Coleman and Lynn Langit started the session with some slides that showed examples highlighting some of the themes of the discussion. (Those slides are posted on Slideshare; the link is at the end of this post.)
- Even when thinking of UIs for enterprise applications, it’s useful to look to what can be learned from the gaming industry, which tends to set the standard for information and feedback, as well as deliver an experience that trains users in the application itself.
- Heads-up displays aren’t just for the military or Google science projects, but commercially available goggles don’t integrate much in the way of input or user control.
- Gesture-based input is mainstream already, but motion-based controls are just starting starting to emerge beyond gaming.
- Visualization of data requires more than a little art – and a lot of science.
- Audio can be used for immersive experiences as well as alerts and aural cueing.
Why does Siri disappoint?
The feed-based UIs common in social media applications like Facebook and Twitter have already made their mark on enterprise computing, Pinterest-style image maps are showing up everywhere, and the latest “new new thing” is Apple’s Siri. Siri has been something of a bust – Apple overset expectations for a mobile personal concierge. The panelists concluded Siri was over-ambitious in its attempt to deliver a universal conversational UI. Siri is far more than voice input. It adds voice output, context-based search of multiple sources, and applications command.
Attempting to deliver a user experience that depended on solving multiple technology “grand challenge” problems (speech recognition, speech generation, contextual search) was just too much to ask, even for Apple. GigaOM analyst George Gilbert observed that trying to force that combination into handling all the various tasks Apple was promising, rather than taking a more pragmatic, structured approach (like Google’s info cards or IBM’s single-function models), is the main reason we haven’t seen a Siri API for third-party application integration yet.
Disruption Vectors driving user interface evolution
We often use Mapping Sessions to lay the groundwork for deeper analysis on emerging markets where we apply our Sector RoadMap approach. We’ve done Sector RoadMap reports on categories like the Platform as a Service market and work media tools. Sector RoadMaps are collaborative research efforts that match up competitors’ abilities to align with what we call Disruption Vectors, i.e., the key technology or market forces that drive emerging markets. Smart vendors can ride Disruption Vectors to gains in revenue or market share.
Siri’s failure to deliver on its promise led the Mapping Session participants towards the conclusion that we’ll be seeing UI innovation on an app by app, or task by task basis. We probably won’t see a single technology, approach, or metaphor apply broadly in different contexts such as enterprise applications, in-vehicle command and control systems, or home entertainment. That doesn’t bode well for Microsoft’s efforts to apply Windows 8 conventions across phone, desktop, tablet, and console. Similarly, the graphic above illustrates the consensus of the session participants as to the relative importance of Disruption Vectors in user interface innovation. Three different market forces seem to have equal weight, instead of a single dominating source.
- Input technologies include voice and motion – and neural connections – but also draw from the proliferation of sensors and the Internet of Things. They’ll bring valuable context to applications to feed the algorithmic analysis behind feedback and suggestions.
- Output. Besides the visual display of information, whether in augmented reality or decision support dashboards, UI innovation will come from companies that exploit suggestions and recommendations in a contextually appropriate manner to cut through clutter and accommodate small displays.
- Big Data technologies lie behind both of the above. Cloud-based data storage and access, along with APIs for apps to get at it, will dramatically reduce the effort of working across data silos, even as sensors and social media produce ever greater volumes of unstructured data. Cleaning and structuring that data is a huge opportunity for third party providers.
Panelists and participants suggested other forces as potential UI Disruption Vectors, but none of them drove as much discussion. Automobiles aren’t the only place where passive participation while multitasking is a key factor in UI design. The file-and-folder metaphor is aging, and inappropriate for many entertainment or collaboration tasks, yet participants didn’t see timelines or other schemes as obvious successors. Session participants agreed that new devices and twin- or multi-screen applications are driving UI development, if not completely disrupting the space. And while there’s a tension between designing for business versus consumer functions, consumerized IT trends are already in play, and collaborative interfaces might be the bigger trend.
We welcome your feedback on these trends, and on what might accelerate the development of user interface technologies. Have we missed or mis-emphasized anything that you believe will be key to driving the sector over the next 12 to 24 months? Continue the discussion by leaving a comment below.
Mapping Session panelists
- David Coleman – Founder and Managing Director, Collaborative Strategies and Analyst, GigaOM Research
- Larry Cornett – Founder, Brilliant Forge and Analyst, GigaOM Research
- George Gilbert – Principal, TechAlpha Partners and Analyst, GigaOM Research
- Lynn Langit – Founder and Consultant, Lynn Langit and Analyst, GigaOM Research
- David Card – Vice President, GigaOM Research