Below is a list of all relevant publications authored by Robotics Forum members.


BibTex format

author = {Neerincx, MA and van, Vught W and Henkemans, OB and Oleari, E and Broekens, J and Peters, R and Kaptein, F and Demiris, Y and Kiefer, B and Fumagalli, D and Bierman, B},
doi = {10.3389/frobt.2019.00118},
journal = {Frontiers in Robotics and AI},
pages = {1--16},
title = {Socio-cognitive engineering of a robotic partner for child's diabetes self-management},
url = {},
volume = {6},
year = {2019}

RIS format (EndNote, RefMan)

AB - Social or humanoid robots do hardly show up in “the wild,” aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partnership in practice. The SCE methodology has been applied in a large European project to develop a robotic partner that supports the daily diabetes management processes of children, aged between 7 and 14 years (i.e., Personal Assistant for a healthy Lifestyle, PAL). Four partnership functions were identified and worked out (joint objectives, agreements, experience sharing, and feedback & explanation) together with a common knowledge-base and interaction design for child's prolonged disease self-management. In an iterative refinement process of three cycles, these functions, knowledge base and interactions were built, integrated, tested, refined, and extended so that the PAL robot could more and more act as an effective partner for diabetes management. The SCE methodology helped to integrate into the human-agent/robot system: (a) theories, models, and methods from different scientific disciplines, (b) technologies from different fields, (c) varying diabetes management practices, and (d) last but not least, the diverse individual and context-dependent needs of the patients and caregivers. The resulting robotic partner proved to support the children on the three basic needs of the Self-Determination Theory: autonomy, competence, and relatedness. This paper presents the R&D methodology and the human-robot partnership framework for prolonged “blended” care of children with a chronic disease (children could use it up to 6 months; the robot in the hospitals and diabetes camps, and its avatar at home). It represents a new type of human-agent/robot systems with an evolving collective intelligence. The underlying ontology and design rationale can be used
AU - Neerincx,MA
AU - van,Vught W
AU - Henkemans,OB
AU - Oleari,E
AU - Broekens,J
AU - Peters,R
AU - Kaptein,F
AU - Demiris,Y
AU - Kiefer,B
AU - Fumagalli,D
AU - Bierman,B
DO - 10.3389/frobt.2019.00118
EP - 16
PY - 2019///
SN - 2296-9144
SP - 1
TI - Socio-cognitive engineering of a robotic partner for child's diabetes self-management
T2 - Frontiers in Robotics and AI
UR -
UR -
UR -
UR -
VL - 6
ER -