Socio-cognitive engineering of a robotic partner for child's diabetes self-management
Author(s)
Type
Journal Article
Abstract
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 as foundation for further developments of long-duration human-robot partnerships “in the wild.”
Date Issued
2019-11-15
Date Acceptance
2019-10-28
Citation
Frontiers in Robotics and AI, 2019, 6, pp.1-16
ISSN
2296-9144
Publisher
Frontiers Media
Start Page
1
End Page
16
Journal / Book Title
Frontiers in Robotics and AI
Volume
6
Copyright Statement
© 2019 Neerincx, van Vught, Blanson Henkemans, Oleari, Broekens, Peters, Kaptein, Demiris, Kiefer, Fumagalli and Bierman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Sponsor
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000499922600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
643783
Subjects
Science & Technology
Technology
Robotics
child-robot interaction
conversational agent
human-robot partnership
socio-cognitive engineering
diabetes management
personal health
pervasive lifestyle support
HEALTH-CARE
DESIGN
ADOLESCENTS
SUPPORT
RECIPROCITY
ADHERENCE
EFFICACY
AGENTS
Publication Status
Published
Article Number
ARTN 118
Date Publish Online
2019-11-15