Introduction: Sensor-feedback systems can be used to support people after stroke during independent practice of gait. The main aim of the study was to describe the user-centred approach to (re)design the user interface of the sensor feedback system “Stappy” for people after stroke, and share the deliverables and key observations from this process. Methods: The user-centred approach was structured around four phases (the discovery, definition, development and delivery phase) which were fundamental to the design process. Fifteen participants with cognitive and/or physical limitations participated (10 women, 2/3 older than 65). Prototypes were evaluated in multiple test rounds, consisting of 2–7 individual test sessions. Results: Seven deliverables were created: a list of design requirements, a personae, a user flow, a low-, medium- and high-fidelity prototype and the character “Stappy”. The first six deliverables were necessary tools to design the user interface, whereas the character was a solution resulting from this design process. Key observations related to “readability and contrast of visual information”, “understanding and remembering information”, “physical limitations” were confirmed by and “empathy” was additionally derived from the design process. Conclusions: The study offers a structured methodology resulting in deliverables and key observations, which can be used to (re)design meaningful user interfaces for people after stroke. Additionally, the study provides a technique that may promote “empathy” through the creation of the character Stappy. The description may provide guidance for health care professionals, researchers or designers in future user interface design projects in which existing products are redesigned for people after stroke.
DOCUMENT
Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey (n = 38), interviews (n = 8) and focus-group sessions (n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.
DOCUMENT
Het belang van werkgevers om de duurzame inzetbaarheid van werknemers te verhogen is evident. Een belangrijke determinant van duurzame inzetbaarheid is ervaren gezondheid. Dit project, uitgevoerd onder de vlag van het Interreg-project iAge, beoogde om werknemers te stimuleren tot (meer) gezond gedrag en daarmee tot een hogere ervaren gezondheid door middel van de inzet van sensortechnologie: technologie die de gebruiker ervan in staat stelt om gedurende een langere tijd inzicht te krijgen in en feedback te krijgen over bepaalde fysiologische parameters en/of leefstijl-gedragingen. De inzet van sensortechnologie helpt werknemers door middel van objectieve, betrouwbare feedback op hun gezondheidsgedrag om meer inzicht te krijgen in hun gezondheidsgedrag en meer vertrouwen te krijgen in hun mogelijkheden dit te beïnvloeden. Omdat het van groot belang is om passende doelen op te stellen is het wenselijk een coach in te zetten die de gebruikers van sensortechnologie daarin ondersteunt. Het bedrijf waarin dit project is uitgevoerd is Ateliers Museum Technische Werken in Groningen (www.ateliersmtw.nl). De uitvoering lag bij het lectoraat Arbeidsparticipatie (onderdeel van het Kenniscentrum Arbeid van de Hanzehogeschool Groningen) in nauwe samenwerking met het lectoraat New Business en ICT van de Hanzehogeschool en het Quantified Self Institute (www.qsinstitute.org). De deelnemers aan dit project (12) stelden in overleg met een coach vast met welk gezondheidsdomein – fysieke activiteit, voeding, slaap, stress en sociale interactie – zij met behulp van een sensor aan de slag wilden gaan. Negen van hen wilden hun fysieke activiteit in kaart brengen door middel van een stappenteller. Van die negen gebruikten zes een stappenteller van het merk Withings(www.withings.com) en drie een stappenteller van het merk Fitbit (www.fitbit.com). Een van de deelnemers wilde slaappatronen in kaart brengen met behulp van een slaapsensor (Zeo, een sensor gefabriceerd door een bedrijf dat inmiddels failliet is). Twee deelnemers wilden een sensor op het gebied van stress: een Inner Balance en een Emwave2 die de hartslagcoherentie kunnen meten die een indicatie vormt voor ervaren stress (www.hearthmathbenelux.com). Gedurende het gebruik van de sensor voerden de deelnemers drie gesprekken met de coach waarin zij de ervaringen met de sensor en de voortgang van hun doelen met betrekking tot het relevante gezondheidsdomein bespraken. De data van de sensoren wees op een toename van gezond gedrag voor enkele deelnemers. Daarbovenop wezen de resultaten van een gevalideerde vragenlijst (de SF-12) en interviews uit (beide voor- en achteraf afgenomen) dat de deelnemers over het algemeen tevreden tot zeer tevreden waren over het gebruik van hun sensor. Voorts rapporteerden ze hogere niveaus op functionele status, welzijn, fysieke gezondheid en psychische gezondheid. Ook beoordeelden de deelnemers hun fysieke vitaliteit na afloop hoger dan voor aanvang van het project. Door de intervieww kon een aantal succesfactoren vastgesteld worden rondom de eigenschappen van de sensor, de inzet van coaching, de informatievoorziening en de rol van het management. Zo vormt dit project een eerste stap in het onderzoeken van de effectiviteit van de inzet van sensortechnologie in een werksetting ten behoeve van het verhogen van de duurzame inzetbaarheid van werknemers. De uiteindelijke, voorzichtige conclusie luidt dat sensortechnologie in combinatie met een coaching traject leidt tot positieve effecten voor ervaren gezondheid en inzicht en zelfvertrouwen wat betreft het kunnen beïnvloeden daarvan. Naar verwachting leidt dit op langere termijn tot een verhoging van de duurzame inzetbaarheid van werknemers.
DOCUMENT
BACKGROUND: The performance of activities of daily living (ADL) at home is important for the recovery of older individuals after hip fracture. However, 20-90% of these individuals lose ADL function and never fully recover. It is currently unknown to what extent occupational therapy (OT) with coaching based on cognitive behavioral treatment (CBT) improves recovery. The same holds for sensor monitoring-based coaching in addition to OT. Here, we describe the design of a study investigating the effect of sensor monitoring embedded in an OT rehabilitation program on the recovery of ADL among older individuals after hip fracture.METHODS/ DESIGN: Six nursing homes will be randomized in a three-arm stepped wedge cluster randomized trial. All nursing homes will initially provide standard care. At designated time points, nursing homes, successively and in random order, will cross over to the provision of OT and at the next time point, to sensor monitoring-enhanced OT. A total of 288 older individuals, previously living alone in the community, who after a hip fracture were admitted to a geriatric rehabilitation ward for a short-term rehabilitation, will be enrolled. Individuals in the first intervention group (OTc) will participate in an OT rehabilitation program with coaching based on cognitive behavioral therapy (CBT) principles. In the sensor monitoring group, sensor monitoring is added to the OT intervention (OTcsm). Participants will receive a sensor monitoring system consisting of (i) an activity monitor during nursing home stay, (ii) a sensor monitoring system at home and a (iii) a web-based feedback application. These components will be embedded in the OT. The OT consists of a weekly session with an occupational therapist during the nursing home stay followed by four home visits and four telephone consultations. The primary outcome is patient-perceived daily functioning at 6 months, assessed using the Canadian Occupational Performance Measure (COPM).DISCUSSION: As far as we know, this study is the first large-scale stepped wedge trial, studying the effect of sensor monitoring embedded in an OT coaching program. The study will provide new knowledge on the combined intervention of sensor monitoring and coaching in OT as a part of a rehabilitation program to enable older individuals to perform everyday activities and to remain living independently after hip fracture.TRIAL REGISTRATION NUMBER: Netherlands National Trial Register, NTR 5716 Date registered: April 1 2016.
DOCUMENT
Melkveehouders beschikken over alsmaar meer data van hun dieren. De uitdaging is om die datastromen op de juiste manier te gebruiken. Het lijkt erop dat de crux zit in het combineren van verschillende gegevens.
DOCUMENT
Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey (n = 38), interviews (n = 8) and focus-group sessions (n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.
DOCUMENT
Occupational stress can cause health problems, productivity loss or absenteeism. Resilience interventions that help employees positively adapt to adversity can help prevent the negative consequences of occupational stress. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee's context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. This paper presents the conceptual framework and methods behind the WearMe project, which aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented as the basis for the WearMe project. The operationalization of the concepts and the daily measurement cycle are described, including the use of wearable sensor technology (e.g., sleep tracking and heart rate variability measurements) and Ecological Momentary Assessment (mobile app). Analyses target the development of within-subject (n=1) and between-subjects models and include repeated measures correlation, multilevel modelling, time series analysis and Bayesian network statistics. Future work will focus on further developing these models and eventually explore the effectiveness of the envisioned personalized resilience system.
DOCUMENT
In deze workshop was aandacht voor effecten van leefstijlapps, ervaringen van patienten en professionals met apps, de opkomst van consumenten ehealth en de vraagstukken daaromtrent
DOCUMENT
In dit abstract wordt de ontwikkeling van een online onderwijsmodule beschreven gericht op eHealth voor leefstijlverbetering
MULTIFILE
There is an urgency for developing methods that are capable of monitoring watersystems that are fast changing due to climate change and increase of anthropogenic pressure. Updated and real-time detailed data is necessary to support water and soil management strategies. This study evaluates the implementations of novel techniques in different socio-economic settings. Sensors and cameras were installed in mobile platforms (including boats and underwater drones), and deployed to assess spatial data variability. Environmental scans were performed at multiple locations with different water systems in The Netherlands, Indonesia and Denmark. Results from themultiple methods (sensor, cameras) provided new insights into spatial variation of water quality, contrasting with traditional point sampling. Feedback from waterauthorities and other stakeholders indicate that collected data can be used tosupport management actions, and that such increasingly accessible technologiescontribute to creating awareness to water related issues.
DOCUMENT
