ACHTERGROND EN DOELAspecifieke lage rug- en/of nekpijn is een veel voorkomende klacht en kan tot veel beperkingen in ADL leiden. De vraag is “wat is de toegevoegde waarde van een self-tracking systeem de LumoBack” voor de fysiotherapie.METHODEIn dit onderzoek is geobserveerd of patiënten met aspeci eke lage rug en/of nekklachten (ALRNK) na twee weken gebruik van de LumoBack en reguliere fysiotherapie (groep A) minder moeite in activiteiten hebben en minder pijn ervaren, dan patiënten die alleen twee weken reguliere fysiotherapie (groep B) kregen. Het onderzoek bestond uit een voor- en nameting waarbij de VAS, de PSK en de QBPDS werden afgenomen.RESULTATENUit de resultaten blijkt dat er na twee weken geen signi cant verschil is gevonden tussen beide groepen. Wel is de verbetering in VAS1 en PSK3 signi cant verschillend tussen beide groepen. Groep A laat grotere verbeteringen zien met een klinisch relevante vermindering in vas 1 en vas 2.
Large cities in the West respond to an ever-increasing shortage of affordable housing by accelerating the process of urban densification. Amsterdam, for instance, aims to increase its housing stock by 10 percent in the next 15 years as its population is expected to grow by 20 percent. As in other cities, it seems inevitable that high-rise buildings with higher skyscrapers than in the past will be built within the existing urban fabric. Such large-scale (re)development projects shape the conditions for inhabitants’ eye-level experiences, perception of place and overall well-being. The new hybrid field of neuroarchitecture offers promising eye-tracking technology and theories for measuring inhabitants’ visual experiences of the city and rethinking the effectiveness of applied design principles across the globe. In this paper, the ‘classic’ design solutions for creating streetscapes on a human scale in densified areas have been assessed by eye-tracking 31 participants in a laboratory setting, all of whom viewed photographs of 15 existing streetscapes in high-rise environments. The study drew on theories from the field of neuroarchitecture and used input from a panel of (landscape) architects and urban designers to design the research and analyze the eye-tracked patterns. The results indicate that the classic design principles (horizontal–vertical rhythms and variety; active ground floor; tactile materials) play a significant role in people’s appreciation of the streetscape and that their attention is unconsciously captured by the presence of these principles. The absence of the design principles seems to result in a scattered ‘searching’ eye movement pattern. This also suggests that a coherent design of streetscapes in high-rise environments may contribute to a human scale at eye-level.
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Urban densification continues unabated, even as the possible consequences for users’ eye-level experiences remain unknown. This study addresses these consequences. In a laboratory setting, images of the NDSM wharf were shown to university students primed for one of three user groups: residents, visitors and passers-by. Their visual experiences were recorded using eye-tracking and analyzed in combination with surveys on self-reported appreciation and restorativeness. On-site surveys were also administered among real users. The results reveal distinct eye-movement patterns that point to the influence of environmental roles and tasks and how architectural qualities steer people’s visual experience, valence and restoration.
In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
Nederland kent ongeveer 220.000 bedrijfsongevallen per jaar (met 60 mensen die overlijden). Vandaar dat elke werkgever verplicht is om bedrijfshulpverlening (BHV) te organiseren, waaronder BHV-trainingen. Desondanks brengt slechts een-derde van alle bedrijven de arbeidsrisico’s in kaart via een Risico-Inventarisatie & Evaluatie (RI&E) en blijft het aandeel werknemers met een arbeidsongeval hoog. Daarom wordt er continu geïnnoveerd om BHV-trainingen te optimaliseren, o.a. door middel van Virtual Reality (VR). VR is niet nieuw, maar is wel doorontwikkeld en betaalbaarder geworden. VR biedt de mogelijkheid om veilige realistische BHV-noodsimulaties te ontwikkelen waarbij de cursist het gevoel heeft daar echt te zijn. Ondanks de toename in VR-BHV-trainingen, is er weinig onderzoek gedaan naar het effect van VR in BHV-trainingen en zijn resultaten tegenstrijdig. Daarnaast zijn er nieuwe technologische ontwikkelingen die het mogelijk maken om kijkgedrag te meten in VR m.b.v. Eye-Tracking. Tijdens een BHV-training kan met Eye-Tracking gemeten worden hoe een instructie wordt opgevolgd, of cursisten worden afgeleid en belangrijke elementen (gevaar en oplossingen) waarnemen tijdens de simulatie. Echter, een BHV-training met VR en Eye-Tracking (interacties) bestaat niet. In dit project wordt een prototype ontwikkeld waarin Eye-Tracking wordt verwerkt in een 2021 ontwikkelde VR-BHV-training, waarin noodsituaties zoals een kantoorbrand worden gesimuleerd (de BHVR-toepassing). Door middel van een experiment zal het prototype getest worden om zo voor een deel de vraag te beantwoorden in hoeverre en op welke manier Eye-Tracking in VR een meerwaarde biedt voor (RI&E) BHV-trainingen. Dit project sluit daarmee aan op het missie-gedreven innovatiebeleid ‘De Veiligheidsprofessional’ en helpt het MKB dat vaak middelen en kennis ontbreekt voor onderzoek naar effectiviteit rondom innovatieve-technologieën in educatie/training. Het project levert onder meer een prototype op, een productie-rapport en onderzoeks-artikel, en staat open voor nieuwe deelnemers bij het schrijven van een grotere aanvraag rondom de toepassing en effect van VR en Eye-Tracking in BHV-trainingen.
Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.
