Concerns and Trade-offs in Information Technology Acceptance: The Balance between the Requirement for Privacy and the Desire for Safety

In this paper, we construct a new motivation model by bridging self-determination theory (SDT) with the unified theory of acceptance and use of technology (UTAUT). Using an explorative approach, we study how human motivational determinants influence the trade-off between safety and privacy in technology acceptance. We take the Scandinavian healthcare context as our empirical outset and explore how older Danish adults perceive sensor-based e-health monitor technology that monitors their health status. Danish municipalities have begun to use these technologies to identify early warning signs and, thereby, improve the quality of care and life by making people more self-reliant and reducing unnecessary hospitalization. However, one needs to consider ethical issues concerning privacy versus safety when implementing these technologies. After monitoring 21 respondents (mean age: 85) living independently at home over nine weeks, we interviewed them about their concerns regarding privacy and safety. We found that the respondents were willing to compromise their privacy if their autonomy and personal integrity were respected and if the benefits of sensor-based monitoring outweighed health-related threats. We used these findings and the theoretical outset to create a novel model that takes human motivation into account when using UTAUT

Inferring Displacement Fields from Sparse Measurements Using the Statistical Finite Element Method

A well-established approach for inferring full displacement and stress fields from possibly sparse data is to calibrate the parameter of a given constitutive model using a Bayesian update. After calibration, a (stochastic) forward simulation is conducted with the identified model parameters to resolve physical fields in regions that were not accessible to the measurement device. A shortcoming of model calibration is that the model is deemed to best represent reality, which is only sometimes the case, especially in the context of the aging of structures and materials. While this issue is often addressed with repeated model calibration, a different approach is followed in the recently proposed statistical Finite Element Method (statFEM). Instead of using Bayes' theorem to update model parameters, the displacement is chosen as the stochastic prior and updated to fit the measurement data more closely. For this purpose, the statFEM framework introduces a so-called model-reality mismatch, parametrized by only three hyperparameters. This makes the inference of full-field data computationally efficient in an online stage: If the stochastic prior can be computed offline, solving the underlying partial differential equation (PDE) online is unnecessary. Compared to solving a PDE, identifying only three hyperparameters and conditioning the state on the sensor data requires much fewer computational resources. This paper presents two contributions to the existing statFEM approach: First, we use a non-intrusive polynomial chaos method to compute the prior, enabling the use of complex mechanical models in deterministic formulations. Second, we examine the influence of prior material models (linear elastic and St.Venant Kirchhoff material with uncertain Young's modulus) on the updated solution. We present statFEM results for 1D and 2D examples, while an extension to 3D is straightforward.Comment: 29 pages, 15 figures, Preprint submitted to Elsevie

Partial chiral symmetry-breaking as a route to spectrally isolated topological defect states in two-dimensional artificial materials

Bipartite quantum systems from the chiral universality classes admit topologically protected zero modes at point defects. However, in two-dimensional systems these states can be difficult to separate from compacton-like localized states that arise from flat bands, formed if the two sublattices support a different number of sites within a unit cell. Here we identify a natural reduction of chiral symmetry, obtained by coupling sites on the majority sublattice, which gives rise to spectrally isolated point-defect states, topologically characterized as zero modes supported by the complementary minority sublattice. We observe these states in a microwave realization of a dimerized Lieb lattice with next-nearest neighbour coupling, and also demonstrate topological mode selection via sublattice-staggered absorption

Wachstum und Produktqualität verschiedener Schweineherkünfte aus ökologischer Haltung

In order to investigate if there are differences between endangered or modern pig breeds concerning growth and product quality a total of ninety fattened pigs were housed and fed after the principles of the organic farming. During the fattening period the animals got regularly weight and measured alive with magnetic resonance tomo-graphy (MRT) in order to research tissue growth. After achieving a live weight of about 120 kilogram the pigs got slaughtered. After slaughtering the carcass quality was acquired, samples were taken for investigating the meat quality and one carcass side was measured again with the MRT. Results point out that differences exist between the breeds concerning the attributes of growth, carcass and meat quality