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See detailEmpathy in Design Scale: Development and Initial Insights
Drouet, Luce UL; Bongard, Kerstin UL; Koenig, Vincent UL et al

in Proceedings of the Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (in press)

Empathy towards users is crucial to the design of user-centered technologies and services. Previous research focused on defining empathy and its role in the design process for triggering empathy for end ... [more ▼]

Empathy towards users is crucial to the design of user-centered technologies and services. Previous research focused on defining empathy and its role in the design process for triggering empathy for end-users. However, there is a lack of empathy measurement instruments in design. Most previous work focused on designers, overlooking the need for other stakeholders to develop empathy towards the users to break organizational silos and deliver high-quality user-centered services and products. In this contribution, we share the preliminary stages of the development of an empathy scale for service design. We build on empathy literature from psychology and design to define 18 items representing four empathy dimensions. We report on the definition of these dimensions and their underlying items, and present preliminary studies in which we reviewed the first version of the scale with experts and stakeholders. [less ▲]

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See detailZufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg
Baltes-Löhr, Christel; Schumacher, Anette UL; Biewers, Sandra UL

Book published by Barbara Budrich Verlag (in press)

Detailed reference viewed: 38 (2 UL)
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See detailZufriedenheit, Wohlbefinden und Anerkennung: Kontextualisierung und theoretische Einordnung der Konzepte und ihrer Bedeutung für die institutionellen Felder der non-formalen Bildung
Baltes-Löhr, Christel; Schumacher, Anette UL; Biewers, Sandra UL

in Zufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg (in press)

Detailed reference viewed: 36 (1 UL)
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See detailZufriedenheit mit der institutionellen Betreuung von Kindern im Alter von bis zu 4 Jahren
Schumacher, Anette UL; Baltes-Löhr, Christel

in Zufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg (in press)

Detailed reference viewed: 29 (1 UL)
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See detailWohlbefinden von Kindern im Alter von 4-12 Jahren in Kinderbetreuungseinrichtungen
Schumacher, Anette UL

in Zufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg (in press)

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See detailMultiperspektivische Einblicke in die Forschungslage zur non-formalen Bildung in Luxemburg. Eine Zusammenfassung.
Baltes-Löhr, Christel UL; Schumacher, Anette UL; Biewers, Sandra UL

in Zufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg (in press)

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See detailAmbient Backscatter Assisted Co-Existence in Aerial-IRS Wireless Networks
Solanki, Sourabh UL; Gautam, Sumit; Sharma, Shree Krishna et al

in IEEE Open Journal of the Communications Society (in press)

Ambient backscatter communication (AmBC) is an emerging technology that has the potential to offer spectral- and energy-efficient solutions for the next generation wireless communications networks ... [more ▼]

Ambient backscatter communication (AmBC) is an emerging technology that has the potential to offer spectral- and energy-efficient solutions for the next generation wireless communications networks, especially for the Internet of Things (IoT). Intelligent reflecting surfaces (IRSs) are also perceived to be an integral part of the beyond 5G systems to complement the traditional relaying scheme. To this end, this paper proposes a novel system design that enables the co-existence of a backscattering secondary system with the legacy primary system. This co-existence is primarily driven by leveraging the AmBC technique in IRS-assisted unmanned aerial vehicle (UAV) networks. More specifically, an aerial-IRS mounted on a UAV is considered to be employed for cooperatively relaying the transmitted signal from a terrestrial primary source node to a user equipment on the ground. Meanwhile, capitalizing on the AmBC technology, a backscatter capable terrestrial secondary node transmits its information to a terrestrial secondary receiver by modulating and backscattering the ambient relayed radio frequency signals from the UAV-IRS. We comprehensively analyze the performance of the proposed design framework with co-existing systems by deriving the outage probability and ergodic spectral efficiency expressions. Moreover, we also investigate the asymptotic behaviour of outage performance in high transmit power regimes for both primary and secondary systems. Importantly, we analyze the performance of the primary system by considering two different scenarios i.e., optimal phase shifts design and random phase shifting at IRS. Finally, based on the analytical performance assessment, we present numerical results to provide various useful insights and also provide simulation results to corroborate the derived theoretical results. [less ▲]

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See detailMothers’ and fathers’ reflective functioning and its association with parenting behaviors and cortisol reactivity during a conflict interaction with their adolescent children
Decarli, Alessandro; Schulz, André UL; Pierrehumbert, Blaise et al

in Emotion (in press)

We assessed parental reflective functioning (PRF) with the Parent Development Interview - Revised, and investigated its association with parenting behaviors, i.e., autonomy support and psychological ... [more ▼]

We assessed parental reflective functioning (PRF) with the Parent Development Interview - Revised, and investigated its association with parenting behaviors, i.e., autonomy support and psychological control (operationalized in terms of behaviors promoting and undermining autonomy relatedness), and stress responses (cortisol reactivity) during a parent-child conflict interaction task (Family Interaction Task). Participants were 40 mothers and 28 fathers, who took part in the study together with their adolescent children (N = 49). Mothers had significantly lower PRF and displayed more psychologically controlling behaviors in the interaction with their children than fathers. Rather than sex per se, high levels of PRF were the best predictors of autonomy support, whereas lower levels of PRF predicted more psychological control. Higher levels of PRF were also the best predictor for lower levels of parenting stress. Stress in the context of parenting was neither related to autonomy support nor to psychological control, which were best predicted by divorced family status. The findings point to the potential utility of interventions aimed at improving PRF and stress management in the context of parenting, especially in divorced families, given their protective effects on parenting behaviors. [less ▲]

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See detailTHz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs
Azari, Mohammad Mahdi UL; Solanki, Sourabh UL; Chatzinotas, Symeon UL et al

in IEEE Communications Magazine (in press)

Envisioned use cases of unmanned aerial vehicles (UAVs) impose new service requirements in terms of data rate, latency, and sensing accuracy, to name a few. If such requirements are satisfactorily met, it ... [more ▼]

Envisioned use cases of unmanned aerial vehicles (UAVs) impose new service requirements in terms of data rate, latency, and sensing accuracy, to name a few. If such requirements are satisfactorily met, it can create novel applications and enable highly reliable and harmonized integration of UAVs in the 6G network ecosystem. Towards this, terahertz (THz) bands are perceived as a prospective technological enabler for various improved functionalities such as ultra-high throughput and enhanced sensing capabilities. This paper focuses on THz-empowered UAVs with the following capabilities: communication, sensing, localization, imaging, and control. We review the potential opportunities and use cases of THz-empowered UAVs, corresponding novel design challenges, and resulting trade-offs. Furthermore, we overview recent advances in UAV deployments regulations, THz standardization, and health aspects related to THz bands. Finally, we take UAV to UAV (U2U) communication as a case-study to provide numerical insights into the impact of various system design parameters and environment factors. [less ▲]

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See detailZur Wechselseitigkeit von Sozialer Anerkennung und Selbstbildung: Jugendliche und junge Erwachsene im Alter zwischen 12 und 30 Jahren in Einrichtungen der Jugendarbeit
Biewers, Sandra UL; Weis, Daniel UL; Latz, Anita UL

in Baltes-Löhr, Christel; Schumacher, Anette; Biewers, Sandra (Eds.) Zufriedenheit - Wohlbefinden - Anerkennung. Ein Blick hinter die Kulissen non-formaler Bildungseinrichtungen in Luxemburg (in press)

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See detailBismut-Stroock Hessian formulas and local Hessian estimates for heat semigroups and harmonic functions on Riemannian manifolds
Chen, Qin-Qian; Cheng, Li-Juan; Thalmaier, Anton UL

in Stochastic Partial Differential Equations: Analysis and Computations (in press)

In this article, we develop a martingale approach to localized Bismut-type Hessian formulas for heat semigroups on Riemannian manifolds. Our approach extends the Hessian formulas established by Stroock ... [more ▼]

In this article, we develop a martingale approach to localized Bismut-type Hessian formulas for heat semigroups on Riemannian manifolds. Our approach extends the Hessian formulas established by Stroock (1996) and removes in particular the compact manifold restriction. To demonstrate the potential of these formulas, we give as application explicit quantitative local estimates for the Hessian of the heat semigroup, as well as for harmonic functions on regular domains in Riemannian manifolds. [less ▲]

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See detailFedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud System
Nguyen, van Dinh UL; Chatzinotas, Symeon UL; Ottersten, Björn UL et al

in IEEE Transactions on Wireless Communications (in press)

Federated learning (FL) is capable of performing large distributed machine learning tasks across multiple edge users by periodically aggregating trained local parameters. To address key challenges of ... [more ▼]

Federated learning (FL) is capable of performing large distributed machine learning tasks across multiple edge users by periodically aggregating trained local parameters. To address key challenges of enabling FL over a wireless fogcloud system (e.g., non-i.i.d. data, users’ heterogeneity), we first propose an efficient FL algorithm based on Federated Averaging (called FedFog) to perform the local aggregation of gradient parameters at fog servers and global training update at the cloud. Next, we employ FedFog in wireless fog-cloud systems by investigating a novel network-aware FL optimization problem that strikes the balance between the global loss and completion time. An iterative algorithm is then developed to obtain a precise measurement of the system performance, which helps design an efficient stopping criteria to output an appropriate number of global rounds. To mitigate the straggler effect, we propose a flexible user aggregation strategy that trains fast users first to obtain a certain level of accuracy before allowing slow users to join the global training updates. Extensive numerical results using several real-world FL tasks are provided to verify the theoretical convergence of FedFog. We also show that the proposed co-design of FL and communication is essential to substantially improve resource utilization while achieving comparable accuracy of the learning model. [less ▲]

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See detailReinforcement Learning for Test Case Prioritization
Bagherzadeh, Mojtaba; Kahani, Nafiseh; Briand, Lionel UL

in IEEE Transactions on Software Engineering (in press)

Continuous Integration (CI) context significantly reduces integration problems, speeds up development time, and shortens release time. However, it also introduces new challenges for quality assurance ... [more ▼]

Continuous Integration (CI) context significantly reduces integration problems, speeds up development time, and shortens release time. However, it also introduces new challenges for quality assurance activities, including regression testing, which is the focus of this work. Though various approaches for test case prioritization have shown to be very promising in the context of regression testing, specific techniques must be designed to deal with the dynamic nature and timing constraints of CI. Recently, Reinforcement Learning (RL) has shown great potential in various challenging scenarios that require continuous adaptation, such as game playing, real-time ads bidding, and recommender systems. Inspired by this line of work and building on initial efforts in supporting test case prioritization with RL techniques, we perform here a comprehensive investigation of RL-based test case prioritization in a CI context. To this end, taking test case prioritization as a ranking problem, we model the sequential interactions between the CI environment and a test case prioritization agent as an RL problem, using three alternative ranking models. We then rely on carefully selected and tailored state-of-the-art RL techniques to automatically and continuously learn a test case prioritization strategy, whose objective is to be as close as possible to the optimal one. Our extensive experimental analysis shows that the best RL solutions provide a significant accuracy improvement over previous RL-based work, with prioritization strategies getting close to being optimal, thus paving the way for using RL to prioritize test cases in a CI context. [less ▲]

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See detailTest Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review
Pan, Rongqi; Bagherzadeh, Mojtaba; Ghaleb, Taher et al

in Empirical Software Engineering (in press)

Regression testing is an essential activity to assure that software code changes do not adversely a ect existing functionalities. With the wide adoption of Continuous Integration (CI) in software projects ... [more ▼]

Regression testing is an essential activity to assure that software code changes do not adversely a ect existing functionalities. With the wide adoption of Continuous Integration (CI) in software projects, which increases the frequency of running software builds, running all tests can be time-consuming and resource-intensive. To alleviate that problem, Test case Selection and Prioritiza- tion (TSP) techniques have been proposed to improve regression testing by selecting and prioritizing test cases in order to provide early feedback to developers. In recent years, researchers have relied on Machine Learning (ML) techniques to achieve e ective TSP (ML-based TSP). Such techniques help combine information about test cases, from partial and imperfect sources, into accurate prediction models. This work conducts a systematic literature review focused on ML-based TSP techniques, aiming to perform an in-depth analysis of the state of the art, thus gaining insights regarding fu- ture avenues of research. To that end, we analyze 29 primary studies published from 2006 to 2020, which have been identi ed through a systematic and documented process. This paper addresses ve research questions addressing variations in ML-based TSP techniques and feature sets for training and testing ML models, alternative metrics used for evaluating the techniques, the performance of techniques, and the reproducibility of the published studies. We summarize the results related to our research questions in a high-level summary that can be used as a taxonomy for classifying future TSP studies. [less ▲]

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See detailEnergy performance comparison of ventilation-based heating versus water-based heating systems in an efficient residential building
Shirani, Arsalan UL; Merzkirch, Alexander; Leyer, Stephan UL et al

in Fluid Dynamics & Material Processing (in press)

The application of air-based heating systems as a possible approach to reduce the construction costs in highly efficient residential buildings is becoming popular. Air-based heating systems have been well ... [more ▼]

The application of air-based heating systems as a possible approach to reduce the construction costs in highly efficient residential buildings is becoming popular. Air-based heating systems have been well-known for their usage in passive houses during the past three decades. Available studies on such systems tend mostly to focus only on comparing exhaust air heat pump technology with conventional systems in efficient buildings. Moreover, most of the existing studies ignore the usual presence of the electrical heaters as backup. Besides, a comprehensive study and comparison between different air-based heating system concepts is still missing. In this study, four different air-based heating system concepts separated by the type of heat source of heat pump for heating and domestic hot water are defined. These systems are compared to four conventional heating system, including floor heating and direct electrical system employing dynamic annual simulations. According to simulation results, the systems with floor heating have shown the best system efficiencies and the lowest energy demand in comparison to the other systems. The main reason for this was the lower supply temperatures of the floor heating systems. Between the air heating systems, the system equipped with an outdoor air heat pump showed a better energy performance than an exhaust air system. The main reason for this could be attributed to the power limitation of exhaust air heat pump systems. [less ▲]

Detailed reference viewed: 60 (2 UL)
See detailProtéger, libérer, assujettir. L’extension territoriale de la commune de Florence au XIVe siècle
Abeles, Solal UL

Book published by École française de Rome (in press)

Detailed reference viewed: 21 (1 UL)
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See detailSprachliche Mittel in Fake News: Eine textlinguistische Perspektive
Huemer, Birgit UL

in Bendheim, Amelie; Pavlik, Jennifer (Eds.) Fake News. Von Fakten und Fiktionen in Literatur und Medien (in press)

Linguistische Studien zum Thema Fake News nähern sich diesem Phänomen hauptsächlich aus zwei verschiedenen Richtungen. Mit Methoden der kritischen Diskursanalyse wird untersucht wie der Begriff Fake News ... [more ▼]

Linguistische Studien zum Thema Fake News nähern sich diesem Phänomen hauptsächlich aus zwei verschiedenen Richtungen. Mit Methoden der kritischen Diskursanalyse wird untersucht wie der Begriff Fake News im öffentlichen Diskurs verwendet wird, welche Vorstellungen geschaffen, welche Identitäten konstruiert werden und welche Machtverhältnisse erzeugt, verteidigt oder herausgefordert werden. Computerlinguistische Ansätze beschäftigen sich mit der Charakterisierung und automatisierten Erkennung von Fake News, um diese von sogenanntem „rechtmäßigen“ Nachrichten (legitimate news ) zu unterscheiden. Textlinguistische Untersuchungen zum Thema Fake News gibt es bisher kaum. In diesem Beitrag wird zuerst den wenig vorhandenen linguistischen Definitionsansätzen von Fake News auf den Grund gegangen, mit dem Ziel diese durch die textlinguistische Analyse zu ergänzen. Danach werden die beiden sprachwissenschaftlichen Zugänge zum Phänomen Fake News vorgestellt und einige Untersuchungen zum Corona-Diskurs skizziert, die für die Beispielanalyse relevant sind. Exemplarisch werden in der vorliegenden Untersuchung redaktionelle Beiträge und Fake News zum Corona-Diskurs qualitative analysiert und miteinander verglichen. Damit wird der Versuch unternommen Fake News als Textsorte einzuordnen und die sprachlichen Strategien herauszuarbeiten, die für dieses Phänomen typisch sind. Die zuvor erwähnten linguistischen Zugänge liefern dabei wertvolle Ergebnisse, die als Ausgangsbasis für diese Untersuchung dienen. Die Analyse zeigt, dass sich Fake News zwar an journalistischen Nachrichtenformaten orientieren, jedoch sprachliche Muster aufweisen, die sie von diesen unterscheiden. Unter anderem benutzen sie sprachliche Strategien wie Polarisierung, starke Wertungen und direkte Leseradressierung, die für redaktionelle Berichterstattung unüblich ist. Diese Strategien sind nicht nur für Fake News typisch, sondern weisen eine gewisse Parallele zu sprachlichen Mustern in Verschwörungstheorien und Propaganda auf. [less ▲]

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See detailA Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms
Belgacem, Hichem UL; Li, Xiaochen; Bianculli, Domenico UL et al

in ACM Transactions on Software Engineering and Methodology (in press)

Users frequently interact with software systems through data entry forms. However, form filling is time-consuming and error-prone. Although several techniques have been proposed to auto-complete or pre ... [more ▼]

Users frequently interact with software systems through data entry forms. However, form filling is time-consuming and error-prone. Although several techniques have been proposed to auto-complete or pre-fill fields in the forms, they provide limited support to help users fill categorical fields, i.e., fields that require users to choose the right value among a large set of options. In this paper, we propose LAFF, a learning-based automated approach for filling categorical fields in data entry forms. LAFF first builds Bayesian Network models by learning field dependencies from a set of historical input instances, representing the values of the fields that have been filled in the past. To improve its learning ability, LAFF uses local modeling to effectively mine the local dependencies of fields in a cluster of input instances. During the form filling phase, LAFF uses such models to predict possible values of a target field, based on the values in the already-filled fields of the form and their dependencies; the predicted values (endorsed based on field dependencies and prediction confidence) are then provided to the end-user as a list of suggestions. We evaluated LAFF by assessing its effectiveness and efficiency in form filling on two datasets, one of them proprietary from the banking domain. Experimental results show that LAFF is able to provide accurate suggestions with a Mean Reciprocal Rank value above 0.73. Furthermore, LAFF is efficient, requiring at most 317 ms per suggestion. [less ▲]

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See detailEmpirical risk assessment of maintenance costs under full-service contracts
Deprez, Laurens UL; Antonio, Katrien; Boute, Robert

in European Journal of Operational Research (in press)

We provide a data-driven framework to conduct a risk assessment, including data pre-processing, exploration, and statistical modeling, on a portfolio of full-service maintenance contracts. These contracts ... [more ▼]

We provide a data-driven framework to conduct a risk assessment, including data pre-processing, exploration, and statistical modeling, on a portfolio of full-service maintenance contracts. These contracts cover all maintenance-related costs for a fixed, upfront fee during a predetermined horizon. Charging each contract a price proportional to its risk prevents adverse selection by incentivizing low risk (i.e., maintenance-light) profiles to not renege on their agreements. We borrow techniques from non-life insurance pricing and tailor them to the setting of maintenance contracts to assess the risk and estimate the expected maintenance costs under a full-service contract. We apply the framework on a portfolio of about 5 000 full-service contracts of industrial equipment and show how a data-driven analysis based on contract and machine characteristics, or risk factors, supports a differentiated, risk-based break-even tariff plan. We employ generalized additive models (GAMs) to predict the risk factors’ impact on the frequency (number of) and severity (cost) of maintenance interventions. GAMs are interpretable yet flexible statistical models that capture the effect of both continuous and categorical risk factors. Our predictive models quantify the impact of the contract and machine type, service history, and machine running hours on the contract cost. We additionally utilize the predictive cost distributions of our models to augment the break-even price with the appropriate risk margins to further protect against the inherently stochastic nature of the maintenance costs. The framework shows how maintenance intervention data can set up a differentiated tariff plan. [less ▲]

Detailed reference viewed: 33 (0 UL)