A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities
Duration: 03/2015 – 03/2018 Funding: H2020
Partners: UPF, Certh, Augsburg University, Almende, Vocapia Research, Tubingen University, Ulm University, semFYC, German Red Cross
KRISTINA is an EU funded research project, which aims at developing technologies for a human-like socially competent and communicative agent. It runs on mobile communication devices and serves for migrants with language and cultural barriers in the host country.
Many migrants in the EU suffer from social exclusion, with their relatives also struggling with getting the right information and interacting with the administration, migrants at home are often reluctant to go to see the doctor in case of health issues, a tendency that is often further aggravated by cultural matters. Migrant temporary care workers, who in addition often do not have an adequate professional training, face the problem of isolation, lack of professional background information and deficient communication with both the cared and the supervision personnel.
KRISTINA’s overall objective is to research and develop technologies for a human-like socially competent and communicative agent that is run on mobile communication devices and that serves for migrants with language and cultural barriers in the host country as a trusted information provision party and mediator in questions related to basic care and healthcare.
Almende was responsible for the development of the ICT architecture for KRISTINA, making use of our agent-based software development expertise to facilitate the creation of smart agents that can communicate effectively with human end-users, and express a number of verbal and nonverbal cues to the user, such as thinking about a particular question that was asked.
The project allowed us to expand our expertise about smart software agents in their interaction with humans, by researching the application of several verbal and nonverbal cues that can improve interaction, by making the agent appear more "human-like".