Research has attested to the prevalence of a "dependency-support" and "independence-ignore" script characterizing the interactions between staff and elderly residents in long-term care institutions. To examine whether the scripts could be modified, a staff training program (focusing on communication skills, knowledge about aging, and basic behavior principles) was implemented in 3 different institutions. Observational data on staff-resident interactions in the context of self-care were collected pre- and postintervention. Findings revealed significant changes for the experimental group. Specifically, a decrease in dependence-supportive behavior of staff and an increase in their independence-supportive behavior, an increase in independent behavior of residents, and an increase in independence-related interaction patterns were demonstrated.

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The amount of software in automated production systems, including its development effort, is continuously increasing to currently up to 35-50% of the development personnel. Consequently, success factors for achieving modularity and complexity management of control software are of high economic interest. Scientific solutions are manifold but often not implemented in industry. This paper introduces the study QoaPS SWE (Quality of automated Production Systems’ Software Engineering) providing insights into 61 machine and plant manufacturing companies to give quantitative and qualitative results to five essential research questions on success factors in the design of field-level control code. Compared to preceding surveys, QoaPS SWE achieves statistically significant results for software maturity (MMOD+), complexity, and model-based software engineering and provides detailed insights into causes and consequences for single criteria, thus clearly identifying obstacles to be addressed in future research and with industrial countermeasures. Especially staff qualification and organizational issues are identified as obstacles to applying the object-oriented programming paradigm for control software in machine and plant manufacturing. Validity is ensured by analyzing the statistical significance of the results in addition to comparisons with earlier surveys and interviews as well as the comparison with already existing and accepted maturity levels. The provided qualitative and quantitative results will allow the benchmarking of companies’ maturity and the derivation of concrete recommendations for companies depending on their MMOD+ value and the evaluated characteristics.

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This paper first examines the current state of industrial practice of documentation in automated production systems based on a large-scale survey in machine and plant manufacturing proving that companies still face major challenges in documentation. However, insufficient documentation creates friction since it may increase the risk of malfunction and high costs, and impede system development due to lack of traceability, especially for control software being one of the main functionality carriers. Therefore, secondly, a risk priority indicator RPI4DD is proposed to systematically capture the lack of control code documentation to avoid undesired costs due to inadequate documentation.

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