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The Mobile Voice Conference 2013 program will cover the following themes--and more!
- The evolution of mobile platforms and their user interfaces:
How does one categorize mobile platforms in terms of the way they interact with users? Can voice interaction provide a unified approach relatively independent of platform?
- The Personal Assistant Model of user interface: What composes the personal assistant version of a user interface? How will it evolve? What will
be the impact on advertising models and marketing? What are the key underlying technologies?
- Enterprise Personal Assistants: How can companies deploy a company-specific app that has the appeal of a personal assistant? How will these integrate with current web sites, marketing efforts, and customer service operations? What are the key considerations and pitfalls in delivering company mobile apps?
- Mobile apps including speech and natural language technology:
How does one add voice features to an app? How does this differ by operating system and platform?
- Changing expectations for contact centers and customer service:
The acceptance of voice technology on mobile devices will allow call centers that use speech technology properly in automation to get much higher adoption rates by customers. But how do you do this right? Does it have
to be an expensive proposition to create effective customer service speech solutions and to maintain or modify them? How will they integrate with apps on-board mobile devices?
- Convergence of technology through consistent user interfaces:
Will mobile devices, in-car services, and even TV remote controls all tend toward the consistency that made Graphical User Interfaces (GUIs) so important to the evolution of personal computing and then mobile devices? Won’t voice have to be an always-available common denominator in these environments as the size of the devices and the desire for hands-free use limit the GUI’s effectiveness?
- Speech recognition and text-to-speech synthesis in the cloud and on the device: What options are available to application developers? How well does the technology work? What are the limitations as well as the strengths
of the technologies? What pricing options are available on a licensing or usage basis? Can on-board and cloud processing be integrated?
- Natural language processing: What are some of the underlying methods now and in the future? How far can this go? Are there specific issues in integrating NLP with speech recognition? What resources are available to independent developers?
- Knowledge representation: An effective app will give the most direct answer possible to a user inquiry. To make the most of this, information imbedded in web sites and other information sources must be made
available in a form that it natural language processing in the app can understand that it is the answer to a user’s question. Where are we
on this new frontier? What are steps you can take toward this goal?
- Specialized markets: As voice technology improves, it is used in
specialized markets, often from mobile devices. These include medical reporting and warehouse stock picking as very different types of
applications. What is going on in these and other specialized areas? Can
they provide inspiration toward solving problems or providing services in your business?
- Voice in the automobile: It’s clear that voice interfaces with mobile phones and entertainment and information services will be a key part of new automobiles. What are the variations in this vision and the technologies available to support them?
- Technology evolution: How good is speech and natural language technology now? How fast will the technologies evolve? What resources
are available that let developers innovate in these domains without inventing them?
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