PERSONAL ASSISTANT FOR HEALTHY LIFESTYLE
(March 2015 – February 2019)
Integrated research project funded by the EU Horizon2020 Programme, grant Nr. 643783-PAL
Type 1 Diabetes Mellitus (T1DM) portraits a high need and challenge for self-management by young patients: a complex illness with a high and increasing prevalence, a regimen that needs adaptation to patient’s condition and activities, and serious risks for complications and reduced life expectations. When patients do not acquire the knowledge, skills and habits to adhere to their diabetes regimen at childhood, these risks increase suddenly at adolescence. Current mHealth applications have their own specific value for self-management, but are unable to deliver the required comprehensive, prolonged, personalised and context-sensitive support and to reduce these risks persistently. We aim at a Personal Assistant for healthy Lifestyle (PAL) that provides such support, assisting the child, health professional and parent to advance the self-management of children with type 1 diabetes aged 7 – 14, so that an adequate shared patient-caregiver responsibility for child’s diabetes regimen is established before adolescence. The PAL system is composed of a social robot, its (mobile) avatar, and an extendable set of (mobile) health applications (diabetes diary, educational quizzes, sorting games, etc.), which all connect to a common knowledge-base and reasoning mechanism. The robot and avatar act as a child’s pal or companion, whereas health professionals and parents are supported by, respectively, an Authoring & Control and a Monitor & Inform tool. The PAL-project will assess the benefits of the behavioural change on patients’ health conditions, and the profits for the caregivers in longitudinal field experiments. The consortium provides the required network, expertise and tools for this research: (a) a knowledge-driven co-design methodology and tool, (b) medical, human factors and technical expertise, (c) end-user participation and (d) initial PAL building-blocks.
For more information about the PAL project, contact Ivana Kruijff-Korbayová (email).
(January 2014 – October 2017)
TRADR is an integrated research project funded by the EU FP7 Programme, ICT: Cognitive systems, interaction, robotics (Project Nr. 60963). Using a proven-in-practice user-centric design methodology, TRADR develops novel S&T for human-robot teams to assist in disaster response efforts, over multiple missions: The novel S&T makes experience persistent. Various kinds of robots collaborate with human team members to explore the environment, and gather physical samples. Throughout this collaborative effort, TRADR enables the team to gradually develop its understanding of the disaster area over, multiple possibly asynchronous missions (persistent environment models), to improve team members’ understanding of how to work in the area (persistent multi-robot action models), and to improve team-work (persistent human-robot teaming).
(September 2014 – August 2016)
HySociaTea is a DFKI-wide integration project set in the factory of the future, where humans collaborate with robots to improve their flexibility and productivity. The human workers and the robots communicate via multi-modal interfaces, including speech; our HySociaTea team is involved in the linguistic analysis of this communication, and with capturing the teamwork aspect of the system — drawing on the experience we have been gathering in NIFTi and TRADR.
ADAPTIVE STRATEGIES FOR SUSTAINABLE LONG-TERM SOCIAL INTERACTION
(March 2010 – August 2014)
The goal of ALIZ-E is to develop novel methods for developing and testing interactive, mobile robots which will be able to socially interact with human users over extended periods of time, i.e. a possibly non-continuous succession of interactions which can refer back to, and build forth on, previous experiences.
NATURAL HUMAN-ROBOT COOPERATION IN DYNAMIC ENVIRONMENTS
(January 2010 – December 2013)
NIFTi investigates robots that can cooperate with humans in a natural way.
NIFTi places this investigation in the setting of Urban Search and Rescue (USAR). NIFTi works together with several European rescue organizations, to build robots that integrate cognitive user models, situation awareness, flexible planning, and adaptive forms of human-robot interaction.
COGNITIVE SYSTEMS THAT SELF-UNDERSTAND AND SELF-EXTEND
(May 2008 – July 2012)
The CogX project is an integrated project funded in the EU’s Seventh Framework, as part of the Cognitive Systems program. The aim of the project is to investigate the fundaments of cognitive systems for robots which can figure out what do and do not know, and use this “introspection” to guide their learning. At the DFKI, we focus on situated dialogue for human-robot interaction, particularly on using dialogue for interactive forms of learning.
For more information about the CogX project, check out the CogX consortium website.
COGNITIVE SYSTEMS FOR COGNITIVE ASSISTANTS (September 2004 – August 2008)
The CoSy project is an integrated project funded in the EU’s Sixth Framework, as part of the Cognitive Systems program. The aim of the project is to investigate the fundaments of cognitive systems for embodied systems. At the DFKI, we focus on the nature of embodied interaction, including (acquiring) perceptual grounding, the relation between collaborative action and interaction, and learning through language.
For more information about the CoSy project, check out the CoSy consortium website .