Digital Mobile Services for Everyday Life
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ItemUnderstanding Drivers for Acceptance and Use of Digital Care Services for Seniors: Learning from a Value-Focused Thinking Study in Poland and Sweden( 2023-01-03)In order to maximize sustainability of digital services for seniors, the opinions of the main stakeholders and the broader context of independent and healthy ageing should be taken into consideration. Therefore, we applied a Value-focused thinking (VFT) approach to understand values held by seniors in the context of implementation of ICT for independent and healthy ageing. To this end, we conducted interviews with seniors in Poland and Sweden, which are countries with very diverse approaches to digital care services (DCS). Based on the interviews with seniors, we discovered 7 common fundamental objectives and 11 means objectives supporting the fundamental goals with varying understanding depending on a country, which allowed us to discuss the drivers for acceptance and use of DCS for seniors.
ItemAppreciating the Performance of Neuroscience Mining in NeuroIS research: A Case Study on Consumer's Product Perceptions in the Two UI Modes—Dark UI vs. Light UI( 2023-01-03)The goal of the current study was to provide information on the potential of neuroscience mining (NSM) for comprehending NeuroIS paradigms. NSM is an interdisciplinary field that combines neuroscience and business mining, which is the application of big data analytics, computational social science, and other fields to business problems. Therefore, NSM makes it possible to apply predictive models to NeuroIS datasets, such as machine learning and deep learning, to find intricate patterns that are hidden by conventional regression-based analysis. We predicted 28 individual EEG power spectra separated brainwave data using a Random Forest (RF) model. Next, we used NSM to precisely predict how consumers would perceive a product online, depending on whether a light or dark user interface (UI) mode was being used. The model was then used to extract more precise results that could not be obtained using more conventional linear-based analytical models using sensitivity analysis. The benefits of using NSM in NeuroIS research are as follows: (1) it can relieve the burden of the three-horned dilemma described by Runkel and McGrath; (2) it can enable more temporal data to be directly analyzed on the target variables; and (3) sensitivity analysis can be performed on a condition/individual basis, strengthening the rigor of findings by reducing sample bias that can be lost in grand averaging of data when analyzed with methods like GLM.
ItemPlatforms for Smart Fairways - Enhancing Services for Autonomous Maritime Traffic and Other Emerging Uses of Territorial Sea( 2023-01-03)Digitalization has brough about new services to assist navigation, and first autonomous vessels are already in use. This poses also challenges to the fairways, i.e. routes on sea that are designed to secure maritime traffic with physical navigation aids. How should fairway be augmented in future? And, most importantly, how can we make it happen? We use Finnish territorial waters as an example to illustrate how on-going changes of seafaring are taken into account in design of autonomous maritime infrastructure by experts. We use multi-staged Delphi-method to derive the elements of importance for safeguarding autonomous maritime traffic. We suggest starting to improve services at critical points of present fairways. Authorities should ensure the integrity of data and services of merchant traffic first, and thereafter establish jointly an open platform where recreational user can design, try, implement, and test services to their specific needs. This reasoning stems from theoretical underpinnings of communities of interest in self-regulating their environment. The platform could also provide a viable economic solution for speeding up new valuable mobile service designs.