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.
Brett Frischmann, professor at Cardozo law school, and Evan Selinger, philosophy professor at Rochester Institute of Technology, argue that we need an inverse Turing Test to determine to what extent humans are becoming indistinguishable from machines. Frischmann, who has published a paper on the subject, says that changes in technology and our environment are slowly, but surely, making humans more machine-like.
Think piece on a book to come out on the 'machinisation' of humans.
Google's intelligent cloud developer tools are expanding with the launch of a new Cloud Natural Language API on Wednesday. The service is aimed at helping developers create applications that understand human language. It's an important move for Google, as public cloud providers are racing to host new applications built with intelligent capabilities. Natural language processing allows developers to build apps that can tackle the challenging task of understanding how humans communicate, and it is key for things like building intelligent assistants and chat bots.
The speech and voice recognition market is expected to grow at a compound annual growth rate (CAGR) of 15.78% and 23.66% respectively. In 2015, the speech recognition market was valued at $3.73 billion and the voice recognition market was valued at $440.3 million. By 2022, however, the voice recognition market is expected to increase to $1.99 billion and the speech recognition market to $9.97 billion.