@article{32273,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{47563,
  author       = {{Di Pretoro, Alessandro and Bruns, Bastian and Negny, Stéphane and Grünewald, Marcus and Riese, Julia}},
  issn         = {{0098-1354}},
  journal      = {{Computers & Chemical Engineering}},
  keywords     = {{Computer Science Applications, General Chemical Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Demand response scheduling using derivative-based dynamic surrogate models}}},
  doi          = {{10.1016/j.compchemeng.2022.107711}},
  volume       = {{160}},
  year         = {{2022}},
}

@article{53236,
  author       = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Bonyani, Abbas}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel Interval Type-2 Fuzzy best-worst method and combined compromise solution for evaluating eco-friendly packaging alternatives}}},
  doi          = {{10.1016/j.eswa.2022.117188}},
  volume       = {{200}},
  year         = {{2022}},
}

@article{37138,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Assuming that potential biases of Artificial Intelligence (AI)-based systems can be identified and controlled for (e.g., by providing high quality training data), employing such systems to augment human resource (HR)-decision makers in candidate selection provides an opportunity to make selection processes more objective. However, as the final hiring decision is likely to remain with humans, prevalent human biases could still cause discrimination. This work investigates the impact of an AI-based system’s candidate recommendations on humans’ hiring decisions and how this relation could be moderated by an Explainable AI (XAI) approach. We used a self-developed platform and conducted an online experiment with 194 participants. Our quantitative and qualitative findings suggest that the recommendations of an AI-based system can reduce discrimination against older and female candidates but appear to cause fewer selections of foreign-race candidates. Contrary to our expectations, the same XAI approach moderated these effects differently depending on the context.</jats:p>}},
  author       = {{Hofeditz, Lennart and Clausen, Sünje and Rieß, Alexander and Mirbabaie, Milad and Stieglitz, Stefan}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets (ELMA)}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring}}},
  doi          = {{10.1007/s12525-022-00600-9}},
  year         = {{2022}},
}

@article{30657,
  author       = {{Henkes, Alexander and Wessels, Henning and Mahnken, Rolf}},
  issn         = {{0045-7825}},
  journal      = {{Computer Methods in Applied Mechanics and Engineering}},
  keywords     = {{Computer Science Applications, General Physics and Astronomy, Mechanical Engineering, Mechanics of Materials, Computational Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Physics informed neural networks for continuum micromechanics}}},
  doi          = {{10.1016/j.cma.2022.114790}},
  volume       = {{393}},
  year         = {{2022}},
}

@article{34224,
  abstract     = {{Crack growth in structures depends on the cyclic loads applied on it, such as mechanical, thermal and contact, as well as residual stresses, etc. To provide an accurate simulation of crack growth in structures, it is of high importance to integrate all kinds of loading situations in the simulations. Adapcrack3D is a simulation program that can accurately predict the propagation of cracks in real structures. However, until now, this three-dimensional program has only considered mechanical loads and static thermal loads. Therefore, the features of Adapcrack3D have been extended by including contact loading in crack growth simulations. The numerical simulation of crack propagation with Adapcrack3D is generally carried out using FE models of structures provided by the user. For simulating models with contact loading situations, Adapcrack3D has been updated to work with FE models containing multiple parts and necessary features such as coupling and surface interactions. Because Adapcrack3D uses the submodel technique for fracture mechanical evaluations, the architecture of the submodel is also modified to simulate models with contact definitions between the crack surfaces. This paper discusses the newly implemented attribute of the program with the help of illustrative examples. The results confirm that the contact simulation in Adapcrack3D is a major step in improving the functionality of the program.}},
  author       = {{Joy, Tintu David and Weiß, Deborah and Schramm, Britta and Kullmer, Gunter}},
  issn         = {{2076-3417}},
  journal      = {{Applied Sciences}},
  keywords     = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
  number       = {{15}},
  publisher    = {{MDPI AG}},
  title        = {{{Further Development of 3D Crack Growth Simulation Program to Include Contact Loading Situations}}},
  doi          = {{10.3390/app12157557}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{32592,
  author       = {{Ju, X. and Mahnken, Rolf and Xu, Y. and Liang, L.}},
  issn         = {{0045-7825}},
  journal      = {{Computer Methods in Applied Mechanics and Engineering}},
  keywords     = {{Computer Science Applications, General Physics and Astronomy, Mechanical Engineering, Mechanics of Materials, Computational Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{NTFA-enabled goal-oriented adaptive space–time finite elements for micro-heterogeneous elastoplasticity problems}}},
  doi          = {{10.1016/j.cma.2022.115199}},
  volume       = {{398}},
  year         = {{2022}},
}

@article{33801,
  author       = {{Mahnken, Rolf}},
  issn         = {{0045-7825}},
  journal      = {{Computer Methods in Applied Mechanics and Engineering}},
  keywords     = {{Computer Science Applications, General Physics and Astronomy, Mechanical Engineering, Mechanics of Materials, Computational Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{New low order Runge–Kutta schemes for asymptotically exact global error estimation of embedded methods without order reduction}}},
  doi          = {{10.1016/j.cma.2022.115553}},
  volume       = {{401}},
  year         = {{2022}},
}

@article{30213,
  abstract     = {{<jats:p>Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Proactive change management of requirement changes yields the potential to handle such changes efficiently. A systematic approach is required for proactive change management to assess and reduce the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for Proactive Management of Requirement Changes (ProMaRC) is presented. It is developed in close collaboration with industry experts and evaluated based on workshops, pilot users’ feedback, three industrial case studies from the automotive industry and five development projects from research. To limit the application effort, an automated approach for dependency analysis based on the machine learning technique BERT and semi-automated assessment of change likelihood and impact using a modified PageRank algorithm is developed. Applying the method, the risks of requirement changes are assessed systematically and reduced by means of proactive change measures. Evaluation shows high performance of dependency analysis and confirms the applicability and usefulness of the method. This contribution opens up the research space of proactive risk management for requirement changes which is currently almost unexploited. It enables more efficient product development.</jats:p>}},
  author       = {{Gräßler, Iris and Oleff, Christian and Preuß, Daniel}},
  issn         = {{2076-3417}},
  journal      = {{Applied Sciences}},
  keywords     = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Proactive Management of Requirement Changes in the Development of Complex Technical Systems}}},
  doi          = {{10.3390/app12041874}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{30735,
  abstract     = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  year         = {{2022}},
}

@article{44638,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{34703,
  abstract     = {{<jats:p>One of the many purposes for which social robots are designed is education, and there have been many attempts to systematize their potential in this field. What these attempts have in common is the recognition that learning can be supported in a variety of ways because a learner can be engaged in different activities that foster learning. Up to now, three roles have been proposed when designing these activities for robots: as a teacher or tutor, a learning peer, or a novice. Current research proposes that deciding in favor of one role over another depends on the content or preferred pedagogical form. However, the design of activities changes not only the content of learning, but also the nature of a human–robot social relationship. This is particularly important in language acquisition, which has been recognized as a social endeavor. The following review aims to specify the differences in human–robot social relationships when children learn language through interacting with a social robot. After proposing categories for comparing these different relationships, we review established and more specific, innovative roles that a robot can play in language-learning scenarios. This follows <jats:xref>Mead’s (1946)</jats:xref> theoretical approach proposing that social roles are performed in interactive acts. These acts are crucial for learning, because not only can they shape the social environment of learning but also engage the learner to different degrees. We specify the degree of engagement by referring to <jats:xref>Chi’s (2009)</jats:xref> progression of learning activities that range from active, constructive, toward interactive with the latter fostering deeper learning. Taken together, this approach enables us to compare and evaluate different human–robot social relationships that arise when applying a robot in a particular social role.</jats:p>}},
  author       = {{Rohlfing, Katharina and Altvater-Mackensen, Nicole and Caruana, Nathan and van den Berghe, Rianne and Bruno, Barbara and Tolksdorf, Nils Frederik and Hanulíková, Adriana}},
  issn         = {{2296-9144}},
  journal      = {{Frontiers in Robotics and AI}},
  keywords     = {{Artificial Intelligence, Computer Science Applications}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Social/dialogical roles of social robots in supporting children’s learning of language and literacy—A review and analysis of innovative roles}}},
  doi          = {{10.3389/frobt.2022.971749}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{35571,
  author       = {{Schulze Darup, Moritz and Book, Gerrit and Quevedo, Daniel E. and Nagahara, Masaaki}},
  issn         = {{0018-9286}},
  journal      = {{IEEE Transactions on Automatic Control}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{10}},
  pages        = {{5416--5423}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Fast Hands-Off Control Using ADMM Real-Time Iterations}}},
  doi          = {{10.1109/tac.2021.3121255}},
  volume       = {{67}},
  year         = {{2021}},
}

@article{35572,
  author       = {{Schluter, Nils and Darup, Moritz Schulze}},
  issn         = {{0018-9286}},
  journal      = {{IEEE Transactions on Automatic Control}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{10}},
  pages        = {{5610--5613}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{On the Stability of Linear Dynamic Controllers With Integer Coefficients}}},
  doi          = {{10.1109/tac.2021.3131126}},
  volume       = {{67}},
  year         = {{2021}},
}

@article{37822,
  author       = {{Han, Daxin and Yang, Keke and Meschut, Gerson}},
  issn         = {{0924-0136}},
  journal      = {{Journal of Materials Processing Technology}},
  keywords     = {{Industrial and Manufacturing Engineering, Metals and Alloys, Computer Science Applications, Modeling and Simulation, Ceramics and Composites}},
  publisher    = {{Elsevier BV}},
  title        = {{{Mechanical joining of glass fibre reinforced polymer (GFRP) through an innovative solid self-piercing rivet}}},
  doi          = {{10.1016/j.jmatprotec.2021.117182}},
  volume       = {{296}},
  year         = {{2021}},
}

@article{37144,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Artificial intelligence (AI) is being increasingly integrated into enterprises to foster collaboration within humanmachine teams and assist employees with work-related tasks. However, introducing AI may negatively impact employees’ identifications with their jobs as AI is expected to fundamentally change workplaces and professions, feeding into individuals’ fears of being replaced. To broaden the understanding of the AI identity threat, the findings of this study reveal three central predictors for AI identity threat in the workplace: changes to work, loss of status position, and AI identity predicting AI identity threat in the workplace. This study enriches information systems literature by extending our understanding of collaboration with AI in the workplace to drive future research in this field. Researchers and practitioners understand the implications of employees’ identity when collaborating with AI and comprehend which factors are relevant when introducing AI in the workplace.</jats:p>}},
  author       = {{Mirbabaie, Milad and Brünker, Felix and Möllmann Frick, Nicholas R. J. and Stieglitz, Stefan}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  number       = {{1}},
  pages        = {{73--99}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The rise of artificial intelligence – understanding the AI identity threat at the workplace}}},
  doi          = {{10.1007/s12525-021-00496-x}},
  volume       = {{32}},
  year         = {{2021}},
}

@article{37445,
  abstract     = {{<jats:p>A prerequisite for child reading support at school is adequate assessment. Embedding (repeated) assessment into daily teaching routine is often challenging for teachers in terms of time and organization. The use of digital tools can help teachers in the assessment process (in preparation, evaluation, documentation, etc.). A digital assessment tool (Graz Reading Comprehension test: GraLeV), focusing on assessing reading comprehension skills in Grades 3 and 4 is currently being developed in Austria. This reading assessment covers reading comprehension at the word, sentence, and text level. Text level is assessed via two subtests (Subtest I: presentation of nonsense-stories and corresponding questions, and Subtest II: maze selection). The other levels consist of one subtest each. This paper focusses on the subtests at text level. More specifically, the paper reports the results of two studies. Study 1 describes the development phases and the first piloting of these two subtests (data collection: 10/2019-12/2019). Testing 273 students with preliminary versions of the subtests (Subtest I: 30 items, Subtest II: 60 items) produced information on (a) item difficulty, (b) item discriminatory power, and (c) time limits for future speed testing. Items not meeting the required quality criteria were excluded. The final version of Subtest I consists of 16 questions referring to eight different, short, nonsense-texts. Its testing time (without instructions) is three minutes. The final version of the Subtest II consists of 2 texts each with 15 maze selections (30 items) and testing time is 100 seconds. The internal consistency is found to be good for Subtest I (α=.87) and Subtest II (α=.78 to .80). Study 2 reports on testing for validity and retest-reliability (data collection: 09/2020-11/2020). Student scores in another reading comprehension test, together with teacher assessments of reading comprehension, were used to assess congruent validity. Divergent validity was assessed using teacher assessments of mathematical and socio-emotional skills. As expected, the correlations with the congruent measures were higher than those with the divergent measures. A subsample was tested twice with the GraLeV. Retest-reliability was acceptable for Subtest II. However, the scores obtained at time 2 were higher compared to those at time 1 in both subtests. This is probably the result of increased student familiarity with the digital device and the digital test environment at time 2. The results are discussed in the light of teachers’ needs for standardized digital assessments in order to facilitate the tailoring of student reading support.  </jats:p>}},
  author       = {{Seifert, Susanne and Paleczek, Lisa}},
  issn         = {{1479-4403}},
  journal      = {{Electronic Journal of e-Learning}},
  keywords     = {{Computer Science Applications, Education}},
  number       = {{5}},
  pages        = {{pp336--348}},
  publisher    = {{Academic Conferences International Ltd}},
  title        = {{{Digitally Assessing Text Comprehension in Grades 3-4: Test Development and Validation}}},
  doi          = {{10.34190/ejel.19.5.2467}},
  volume       = {{19}},
  year         = {{2021}},
}

@article{37443,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The range of teaching materials now available is becoming increasingly diverse. Despite this, however, the use and influence of textbooks in teaching still remains very high. When instructing reading comprehension, teachers often use textbooks as the basis for teaching in language lessons. Establishing a good match between textbooks and the skills to be acquired is therefore essential. In this paper, I investigate whether textbooks used in Austrian schools can adequately support the teaching of reading comprehension skills. Since reading comprehension is the basis for acquiring knowledge in all subjects, science textbooks are examined in addition to (German) language lesson textbooks. Thus, the content pages of four language textbooks and four science textbooks for fourth and sixth grade were analysed in terms of five different categories, i.e. general structural setup, learning goals, text types, text structures, and activities. The results reveal clear variations with respect to learning goals in language textbooks. For example, the extent to which reading comprehension is addressed ranges from 13.64 to 69.70%, depending on the book used. Although not addressed as a learning goal in the science textbooks, reading comprehension is often presupposed, especially in sixth grade. While the instruction of reading comprehension ought to entail coverage of reading strategies, this is often neglected, or only dealt with indirectly. Given the diversity of textbooks analysed, it seems all the more important to stress that teachers should: 1) clarify the goals and teaching strategies of a book before using it, 2) become aware of strategies that support the development of students' reading comprehension, and 3) use textbooks as a complementary (and not sole) tool to support reading comprehension in all subjects.</jats:p>}},
  author       = {{Seifert, Susanne}},
  issn         = {{2211-1662}},
  journal      = {{Technology, Knowledge and Learning}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Education, Mathematics (miscellaneous)}},
  number       = {{2}},
  pages        = {{383--405}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Is Reading Comprehension Taken for Granted? An Analysis of Austrian Textbooks in Fourth and Sixth Grade}}},
  doi          = {{10.1007/s10758-021-09490-w}},
  volume       = {{26}},
  year         = {{2021}},
}

@article{38525,
  author       = {{Prikoszovits, Matthias}},
  issn         = {{2198-2430}},
  journal      = {{Deutsch als Fremdsprache}},
  keywords     = {{Computer Science Applications, History, Education}},
  number       = {{2}},
  publisher    = {{Erich Schmidt Verlag GmbH & Co. KG}},
  title        = {{{Christian Efing / Karl-Hubert Kiefer (Hg.): Sprachbezogene Curricula und Aufgaben in der beruflichen Bildung. Aktuelle Konzepte und Forschungsergebnisse}}},
  doi          = {{10.37307/j.2198-2430.2018.02.14}},
  year         = {{2020}},
}

@article{38059,
  abstract     = {{Advances in EEG filtering algorithms enable analysis of EEG recorded during motor tasks. Although methods such as artifact subspace reconstruction (ASR) can remove transient artifacts automatically, there is virtually no knowledge about how the vigor of bodily movements affects ASRs performance and optimal cut-off parameter selection process. We compared the ratios of removed and reconstructed EEG recorded during a cognitive task, single-leg stance, and fast walking using ASR with 10 cut-off parameters versus visual inspection. Furthermore, we used the repeatability and dipolarity of independent components to assess their quality and an automatic classification tool to assess the number of brain-related independent components. The cut-off parameter equivalent to the ratio of EEG removed in manual cleaning was strictest for the walking task. The quality index of independent components, calculated using RELICA, reached a maximum plateau for cut-off parameters of 10 and higher across all tasks while dipolarity was largely unaffected. The number of independent components within each task remained constant, regardless of the cut-off parameter used. Surprisingly, ASR performed better in motor tasks compared with non-movement tasks. The quality index seemed to be more sensitive to changes induced by ASR compared to dipolarity. There was no benefit of using cut-off parameters less than 10.</jats:p>}},
  author       = {{Anders, Phillipp and Müller, Helen Martha and Skjæret-Maroni, Nina and Vereijken, Beatrix and Baumeister, Jochen}},
  issn         = {{0140-0118}},
  journal      = {{Medical & Biological Engineering & Computing}},
  keywords     = {{Computer Science Applications, Biomedical Engineering}},
  number       = {{11}},
  pages        = {{2673--2683}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings}}},
  doi          = {{10.1007/s11517-020-02252-3}},
  volume       = {{58}},
  year         = {{2020}},
}