ICT Project to Enhance Human-System Interactivity

As technical devices grow ever more sophisticated and their complexity increases, the EASY Interactions project is trying to enhance interaction between the human user and the technical system. Traditional control devices such as mouse, keyboard, joystick or screen have been outgrown by today's information and communication technology (ICT) gadgets, say project stakeholders, claiming that such difficulties inhibit many application opportunities.

The project now investigates novel control instruments, focusing primarily on:

  • eye/head tracking;
  • gesture analysis;
  • speech recognition and synthesis;
  • natural language processing and understanding;
  • the talking head;
  • spoken dialogue;
  • three-dimensional video systems;
  • three-dimensional multi-display devices.

Ultimately, it is the aim to enhance human-system interactivity in various domains, including the home and medical environment, mobile applications, help for the elderly and the disabled, transportation, industrial and construction, as well as public safety sectors. "In this way, the project aims to contribute to the achievement of the European Union's 2010 goal to bring ICT to everyone, everywhere," project partners explain.

"By integrating cutting-edge natural language processing techniques and machine learning with domain ontology, EASY Interactions will make it possible to carry out content and information mining at the semantic - or meaning - level," they add. "The innovation foreseen in this project consists in improving techniques to provide an intelligent and semantic access to information and services."

In order to achieve this, partners including major telecommunications specialists such as Alcatel Lucent and EADS Secure Networks are seeking to develop a context-awareness engine that both takes into account the context in which the device is used, and that can learn from user behaviour and adapt interfaces accordingly.

Having kicked off only recently in October 2007, the EASY Interactions project is still in its infancy. Until its completion, projected for March 2010, it will receive funding from the EUREKA strategic cluster programme ITEA 2 (Information Technology for European Advancement).

For further information, please visit:
http://www.itea2.org/

Copyright ©European Communities, 2008
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

To be Happier, Take a Vacation... from Y…

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds...

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...