Digital support for self-management and meaningful activities of people with mild dementia:Development, implementation and feasibility of a person-centred touch-screen intervention

This thesis reports on the research that was conducted to develop and pilot test a person-centred touchscreen-based program (FindMyApps intervention) that supports people with mild dementia and their informal carers in how to use a tablet and apps for self-management and meaningful activities. The program consists of the FindMyApps training for informal carers in supporting people with mild dementia in using a tablet and the FindMyApps selection tool designed to help people with mild dementia find apps for self-management and meaningful activities that fit their needs, wishes and abilities. The program was developed following the Medical Research Council (MRC) Framework for the design and evaluation of complex interventions and in co-creation with end users. The chapters of this thesis describe the first three phases of this framework i.e.: the preclinical or theoretical phase (0); the modelling phase (I) and the exploratory trial (II). The execution of an RCT (III), and further implementation (IV) in case the intervention proves effective, are beyond the scope of this thesis. In the first phase user needs studies were performed to identify user requirements for desired self-management and meaningful activities and to identify user-requirements related to the use of apps. Eight focus groups were performed in which people with mild cognitive impairment (MCI) or mild dementia (n=13) and informal carers (n=15) participated. We also conducted a literature review to explore which training interventions are most effective for people with mild dementia in (re)learning how to use technologies, including handheld touchscreen devices. An electronic search was conducted in the following databases: PubMed, APA PsycInfo (EBSCO) and CINAHL (EBSCO). In total 16 studies met the inclusion criteria. Our review contributed to the growing amount of promising evidence on the potential impact of Errorless learning training interventions for people with mild to moderate dementia in (re)learning how to use technology. Based on these results we developed the FindMyApps training. In the second phase of the framework we developed a first concept of the FindMyApps selection tool based on identified user requirements. To ensure its usability, the web-based tool was developed using a ‘user-participatory design’ involving the close collaboration of potential users, a development team (researchers, developers and designers) and an expert team (experts in person-centred dementia care and ICT). In three short iterative rounds – so called ‘sprints’ – the users (people with dementia (n=8) and (in)formal carers (n=10)) were invited to test whether the prototypes were in line with their needs, wishes and abilities. This generated important insights into user-interface aspects relating to (i) useful content and (ii) a user-friendly tool design. In the third phase we pilot tested the FindMyApps intervention by means of individual semi-structured interviews and a pilot randomized controlled exploratory trial. Twenty people with mild dementia and informal carer dyads were randomly assigned to the FindMyApps group (n=10), receiving either the FindMyApps training and selection tool, or a control condition (n=10), receiving only a short tablet training. Pre- and post-test measurements at a three month follow-up, consisted of questionnaires and post-test semi-structured interviews. Based on the qualitative results and the effect sizes on the outcomes measured in this study, we consider that the FindMyApps intervention has the potential to positively influence the self-management and engagement in meaningful activities in people with dementia. Future studies with a larger sample should better indicate whether this expectation can be confirmed. The intervention will be further improved and tested in a larger pilot-RCT study and its effectiveness subsequently evaluated in a definite RCT

Proceedings of the Conference on Production Systems and Logistics: CPSL 2022

[no abstract available

Knowledge-based system for collaborative process specification

Le marché industriel est aujourd’hui de plus en plus dynamique et compétitif. Cette tendance évolutive de l’écosystème amène les entreprises à prendre part à un nombre croissant de réseaux industriels, dans l’optique de maintenir leur activité et d’accroître leur compétitivité. La qualité d’interaction et de collaboration de partenaires de ces réseaux dépend grandement de la capacité de leurs systèmes d’information (SIs) respectifs à gérer et à partager les informations. Le projet MISE (Mediation Information System Engineering) relève pleinement de cette problématique en proposant une approche de conception d’une solution (conceptuelle et technologique) pour le support de l’interopérabilité d’entreprises au travers de leurs SIs. Ce projet s’appuie sur la notion de MDE (Model-Driven Engineering) et s’articule autour de trois niveaux : métier, logique et technologique. Les travaux de thèse dont il est ici question relèvent du niveau métier en présentant une démarche d’obtention d’un modèle indépendant de toute implémentation (CIM pour Computer Independent Model). Il s’agit en particulier de s’appuyer sur un système basé sur la gestion de connaissance pour concevoir des processus collaboratifs en BPMN (Business Process Modelling Notation). En se positionnant à un niveau d’abstraction au dessus de celui du CIM, on peut capitaliser, manipuler et raisonner une connaissance permettant d’une part de caractériser des collaborations et d’autre part de mettre en place des mécanismes de déduction pour descendre au niveau de CIM. Ces principes sont en outre illustrés par le biais d’un prototype développé pour valider l’approche. ABSTRACT : Enterprises are now operating in an environment where market is more open, globalized, and competitive. Changes in market conditions are obliging enterprises to become involved in various kinds of industrial networks in order to maintain their business efficiency. The integration of business partners depends deeply on the ability to capture and share information seamlessly amongst the information systems (ISs) of different enterprises. The MISE (Mediation Information System Engineering) project was evolved in order to tackle this problem by providing an information technology solution for supporting the enterprise interoperability through ISs. It is developed on the basis of the MDE (Model Driven Engineering). This dissertation addresses the business level of the interoperability, and the CIM (Computer Independent Model) of the MDE. Its main objective is to develop a knowledge-based system for supporting the design of collaborative processes that conform to the BPMN (Business Process Modeling Notation). We propose to work at the upper level of the CIM to capture knowledge that allows us to characterize collaboration by basing on the perspectives and experiences of business partners. We use this knowledge together with the existing knowledge (instances about business processes) from the MIT Process Handbook for moving down to the CIM level. The prototype of our knowledge-based system is also developed in order to validate and evaluate the approach

Beyond Participatory Design for Service Robotics

The spread of technologies as Cloud and Distributed Computing, the Internet of Things (IoT) and Machine Learning techniques comes with highly disruptive innovation potential and consequent design imperatives. High connectivity of devices and machines is shaping not only sensing and monitoring capabilities, but also describing ever more ubiquitous and diffuse computing capabilities, affecting decision-making with a wide range of assisting tools and methods. With the scaling potential of moving beyond its contemporary application such as industrial facilities monitoring, precision farming and agriculture, healthcare and risk management scenarios, RaaS is bound to involve an increasingly fluid and diverse range of users, shaping new socio-technical systems where practices, habits and relationships will evolve in respect to its adoption. On these premises, applied research at Polytechnic Interdepartmental Centre for Service Robotics in Turin, Italy, focuses on the development of a service robotics platform able to operate on the local scale and capable of adapting to evolving scenarios

Using foresight futures and systems thinking to evaluate digitally enhanced advanced service concepts for a rolling stock company (ROSCO)

Purpose: This paper reports on a study in conjunction with a UK-based rolling stock leasing company (ROSCO). The aim was to generate and evaluate future operational concepts for digitally enhanced advanced services from the point of view of a ROSCO – one of many stakeholders (or actors) within a future wider mobility ecosystem.Design/Methodology/Approach: The research design followed the Generic Foresight Process Framework (Voros 2003). Desk-based research and horizon scanning analysis revealed technologies, mobility and transport trends, and other predictions towards 2060. A workshop was developed and participants were presented with a series of future scenarios and design fictions for end-to-end intermodal mobility and passenger carbon quotas. A future Mobility Servitization Systems Architecture was developed.Findings: Five future megatrends were identified; Decarbonisation, changing traveller needs, digitisation, mobility ecosystems and new business models in digital ecosystems. The ‘what-if’ activities revealed insights into alternate futures; revealing system of systems (SoS) actors, the role of a ROSCO, integrations, assumptions and operational constraints.Originality/Value: This research contributes to engineering and design methods for digitally enhanced advanced services, particularly for corporate strategic foresight in a dominant design industry. The Mobility Servitization Systems Architecture was seen to be a powerful model for ecosystem understanding.</div