Purpose: The aims of this study were to investigate how a variety of research methods is commonly employed to study technology and practitioner cognition. User-interface issues with infusion pumps were selected as a case because of its relevance to patient safety. Methods: Starting from a Cognitive Systems Engineering perspective, we developed an Impact Flow Diagram showing the relationship of computer technology, cognition, practitioner behavior, and system failure in the area of medical infusion devices. We subsequently conducted a systematic literature review on user-interface issues with infusion pumps, categorized the studies in terms of methods employed, and noted the usability problems found with particular methods. Next, we assigned usability problems and related methods to the levels in the Impact Flow Diagram. Results: Most study methods used to find user interface issues with infusion pumps focused on observable behavior rather than on how artifacts shape cognition and collaboration. A concerted and theorydriven application of these methods when testing infusion pumps is lacking in the literature. Detailed analysis of one case study provided an illustration of how to apply the Impact Flow Diagram, as well as how the scope of analysis may be broadened to include organizational and regulatory factors. Conclusion: Research methods to uncover use problems with technology may be used in many ways, with many different foci. We advocate the adoption of an Impact Flow Diagram perspective rather than merely focusing on usability issues in isolation. Truly advancing patient safety requires the systematic adoption of a systems perspective viewing people and technology as an ensemble, also in the design of medical device technology.
Promotor : Prof. dr. S. Brinkkemper In recent years the focus on business process improvement has greatly increased in industry as well as in public and health institutions. Information systems and especially Business Process Management (BPM) systems are essential to achieve this. Despite success and opportunities for organizations that innovate with BPM applications there are also many failures of implementations caused by both technical and non-technical problems. In many instances it appears that user participation and user involvement are critical to the success of implementation. To overcome the many problems this thesis reports on research that focused on the improvement of the user participation practice. Therefore the main research question in this PhD thesis is: How can user participation in BPM implementation be successful?
Vehicle2Grid is a new charging strategy that allows for charging and discharging of Plug-In Hybrid Electric Vehicles (PHEV) and Full Electric Vehicles (FEV). The discharged energy can be supplied back to the (local) energy grid, enabling for grid alleviation, but can also be supplied back to the household in the case of a Vehicle2Home connection. Vehicle2Grid is an innovative and complex systems that requires adequate input from users if the local energy grid is to fully benefit from the discharged energy. Users have to be willing for the State of Charge of their EV to be adjusted in order for the Vehicle2Grid system to actually discharge energy from the EV. However, limiting the potential range of an EV can act as a barrier for the use of a Vehicle2Grid system, as discharging might cause uncertainty and possible range anxiety. Charging and discharging an EV through the use of Vehicle2Grid is therefore expected to change user’s routines and interactions with the charging system. Yet few Vehicle2Grid studies have focused on the requirements of a Vehicle2Grid system from the perspective of the user. This paper discussed several incentives and design guidelines that focus on the interaction users have with a Vehicle2Grid system in order to optimize user engagement with the system and integrate user preferences into the complex charging strategy. Results were obtained through a brief literature study, from a focus group as well as from two Vehicle2Grid field pilots. At the end of the paper, recommendations for further research are given.
Creating and testing the first Brand Segmentation Model in Augmented Reality using Microsoft Hololens. Sanoma together with SAMR launched an online brand segmentation tool based on large scale research, The brand model uses several brand values divided over three axes. However they cannot be displayed clearly in a 2D model. The space of BSR Quality Planner can be seen as a 3-dimensional meaningful space that is defined by the terms used to typify the brands. The third axis concerns a behaviour-based dimension: from ‘quirky behaviour’ to ‘standardadjusted behaviour’ (respectful, tolerant, solidarity). ‘Virtual/augmented reality’ does make it possible to clearly display (and experience) 3D. The Academy for Digital Entertainment (ADE) of Breda University of Applied Sciences has created the BSR Quality Planner in Virtual Reality – as a hologram. It’s the world’s first segmentation model in AR. Breda University of Applied Sciences (professorship Digital Media Concepts) has deployed hologram technology in order to use and demonstrate the planning tool in 3D. The Microsoft HoloLens can be used to experience the model in 3D while the user still sees the actual surroundings (unlike VR, with AR the space in which the user is active remains visible). The HoloLens is wireless, so the user can easily walk around the hologram. The device is operated using finger gestures, eye movements or voice commands. On a computer screen, other people who are present can watch along with the user. Research showed the added value of the AR model.Partners:Sanoma MediaMarketResponse (SAMR)
The developments of digitalization and automation in freight transport and logistics are expected to speed-up the realization of an adaptive, seamless, connected and sustainable logistics system. CATALYST determines the potential and impact of Connected Automated Transport (CAT) by testing and implementing solutions in a real-world environment. We experiment on smart yards and connected corridors, to answer research questions regarding supply chain integration, users, infrastructure, data and policy. Results are translated to overarching lessons on CAT implementations, and shared with potential users and related communities. This way, CATALYST helps logistic partners throughout the supply chain prepare for CAT and accelerates innovation.
The developments of digitalization and automation in freight transport and logistics are expected to speed-up the realization of an adaptive, seamless, connected and sustainable logistics system. CATALYST determines the potential and impact of Connected Automated Transport (CAT) by testing and implementing solutions in a real-world environment. We experiment on smart yards and connected corridors, to answer research questions regarding supply chain integration, users, infrastructure, data and policy. Results are translated to overarching lessons on CAT implementations, and shared with potential users and related communities. This way, CATALYST helps logistic partners throughout the supply chain prepare for CAT and accelerates innovation.
