The ROCKIT project

ROCKIT is a strategic roadmapping project for research and innovation in the area of natural conversational interaction. The primary scientific focus concerns interactive agents which are proactive, multimodal, social, and
autonomous. A second focus concerns systems which can extract and exploit rich context and knowledge from heterogenous data sources.

The main goal of ROCKIT is the development of a Research and Innovation Roadmap which integrates the vision and innovation agendas of those organisations (concerned with R&D and exploitation) in the field across Europe, with a broad coverage across sectors. A key goal is to bring together public sector research organisations with commercial organisations at all scales, with a particular focus on SMEs that represent the majority of fragmented commercial activity in Europe.

A key aspect of ROCKIT will be to organise a European research and innovation community in the area of conversational interaction technologies, integrating a wide-range of commercial organisations with application and use links to the area. ROCKIT will be structured around a set of sector-based clusters including mobile applications, healthcare, education, games, broadcast media, robotics, law enforcement, and security.

Research and Innovation Scenarios

As part of the strategic roadmapping action in the area of multimodal conversational interaction technologies, ROCKIT has arrived at a set of five target research and innovation scenarios , presented here. These scenarios represent a number of common themes arising from the workshops organized uring the process: accessibility, multilinguality, the importance of design, privacy by design, systems for all of human–human, human–machine, and human–environment interactions, robustness, security, potentially ephemeral interactions, and using the technology to enable fun.

ROCKIT News

How Do You Teach Human Interaction to a Robot? Lots of TV 

MIT says a computer that binge-watched YouTube videos and TV shows such as "The Office," "Big Bang Theory" and "Desperate Housewives" learned how to predict whether the actors were about to hug, kiss, shake hands or slap high fives -- advances that eventually could help the next generation of artificial intelligence function less clumsily. Lead researcher Carl Vondrick sees potential health-care applications: "If you can predict that someone's about to fall down or start a fire or hurt themselves, it might give you a few seconds' advance notice to intervene."



1 day ago
Conversing with Computing Devices: The Race to Humanise Voice Recognition Speeds Up

Within enterprises, ABI Research predicts that natural language processing will prove particularly beneficial in use cases and verticals that demand hands-free functionality, such as in healthcare, oil and gas, factory floors, and construction. Enterprise voice adoption often requires customized dictionaries, applications, and tools. While the major players in voice recognition allow some APIs to extend into these domains, specialists such as Nuance Communications are developing industry-specific voice packages. Consumer-wise, voice control and conversational interaction is a natural fit for both smart glasses and AR devices, as their primary purpose is to offer hands-free, efficient data display and interaction. Smart home devices like Amazon Echo and Google Home will drive consumer use cases, with growth in AI-powered personal assistants enabling natural and rewarding interaction.



4 days ago
OpenAI's Technical Goals Involving #NLProc
We plan to build an agent that can perform a complex task specified by language, and ask for clarification about the task if it’s ambiguous. Today, there are promising algorithms for supervised language tasks such as question answering, syntactic parsing and machine translation but there aren’t any for more advanced linguistic goals, such as the ability to carry a conversation, the ability to fully understand a document, and the ability to follow complex instructions in natural language. We expect to develop new learning algorithms and paradigms to tackle these problems.


5 days ago

ROCKIT is co-funded by

ROCKIT is a project funded by the FP7 programme of the European Commission.

DISCLAIMER: The content of this website reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained herein.


ROCKIT

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