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See detailA theory-driven design framework for smartphone applications to support healthy and sustainable grocery shopping
Blanke, Julia UL; Billieux, Joel; Vögele, Claus UL

in Human Behavior and Emerging Technologies (in press)

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See detailAsynja: Sensorial Design for Running Motivation
Menheere, Daphne; Hilderink, Myrthe; Vos, Steven et al

in IASDR 2021: 9th Congress of the International Association of Societies of Design Research (in press)

If starting to run is an easy decision, committing to a long-term running routine proves to be a more challenging endeavor for many people. In this pictorial, we unravel the design process of Asynja, an ... [more ▼]

If starting to run is an easy decision, committing to a long-term running routine proves to be a more challenging endeavor for many people. In this pictorial, we unravel the design process of Asynja, an artefact that triggers exercise imagery by using natural scents related to running. Relying on peripheral interaction, this research probe subtly nudges users to go running, thereby supporting them to transform their positive intentions into actions. Exploring sensoriality as a design opportunity for behavior change interventions, we invite the community to expand the design space of exercise-related motivational products and systems. [less ▲]

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See detailUX Needs Cards – A Pragmatic Tool to Support Experience Design Through Psychological Needs
Lallemand, Carine UL

in IASDR 2021: 9th Congress of the International Association of Societies of Design Research (in press)

The psychological needs-driven UX approach is a well-explored area in UX research and a powerful framework for the design of optimal experiences with systems and products. However, the transfer from ... [more ▼]

The psychological needs-driven UX approach is a well-explored area in UX research and a powerful framework for the design of optimal experiences with systems and products. However, the transfer from research to practice is slow and this approach is not yet widely used by practitioners. As card- based methods have been shown to support designers in both the generation of ideas and the evaluation of their designs, we created the UX needs cards as a pragmatic tool able to support a needs-driven UX process. We present the iterative development of the card-set and its associated techniques and report on three use cases, demonstrating the effectiveness of this tool for user research, idea generation and UX evaluation. Our empirical findings suggest that the UX needs cards are a valuable tool able to support design practice, being easily understood by lay users and a source of inspiration for designers. Acting as a tangible translation of a research framework, the UX needs cards promote theory-driven design strategies and provide researchers, designers, and educators with a tool to clearly communicate the framework of psychological needs. [less ▲]

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See detailDISCOV: Stimulating Physical Activity through an Explorative Interactive Walking Experience
van Renswouw, Loes; Verhoef, Jasmijn; Vos, Steven et al

in IASDR 2021: 9th Congress of the International Association of Societies of Design Research (in press)

Aware of the consequences of their inactive lifestyles, many people still struggle to integrate enough physical activity into their busy lives. Interventions that nudge to reinforce existing active ... [more ▼]

Aware of the consequences of their inactive lifestyles, many people still struggle to integrate enough physical activity into their busy lives. Interventions that nudge to reinforce existing active behavior seem therefore more likely to be effective than those adding an activity to daily routines. To encourage people to increase their physical activity level, we designed Discov, a network of physical waypoints triggering people to lengthen their walks. Placed in a public park, Discov encourages people to explore their surroundings in a fun and challenging way by creating an interactive walking experience. Adopting a Research-through-Design approach, we explore the potential of the design of accessible infrastructures and human-environment interactions to impact public health by nudging citizens into being more physically active. We discuss insights gathered through this process and report on first user tests of this interactive walking experience. [less ▲]

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See detailEduCHI 2022 - 4th Annual Symposium on HCI Education
McDonald, Craig; St-Cyr, Olivier; Gray, Colin M. et al

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

EduCHI 2022 will bring together an international community of scholars, practitioners, and researchers to shape the future of Human-Computer Interaction (HCI) education. Held as part of the CHI 2022 ... [more ▼]

EduCHI 2022 will bring together an international community of scholars, practitioners, and researchers to shape the future of Human-Computer Interaction (HCI) education. Held as part of the CHI 2022 conference, the two-day symposium will feature in- teractive discussions about trends, curricula, pedagogies, teaching practices, and current and future challenges facing HCI educators. In addition to providing a platform to share curriculum plans and teaching materials, EduCHI 2022 will also provide opportunities for HCI educators to learn new instructional strategies and deepen their pedagogical knowledge. [less ▲]

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See detailSI‐AKAV: Secure integrated authentication and key agreement for cellular‐connected IoT devices in vehicular social networks
Esfahani, Alireza UL; Decouchant, Jérémie UL; Volp, Marcus UL et al

in Transactions on Emerging Telecommunications Technologies (in press)

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See detailClinical relevance of attentional biases in pediatric chronic pain: an eye-tracking study
Soltani, Sabine; van Ryckeghem, Dimitri UL; Vervoort, Tine et al

in Pain (in press)

Attentional biases have been posited as one of the key mechanisms underlying the development and maintenance of chronic pain and co-occurring internalizing mental health symptoms. Despite this theoretical ... [more ▼]

Attentional biases have been posited as one of the key mechanisms underlying the development and maintenance of chronic pain and co-occurring internalizing mental health symptoms. Despite this theoretical prominence, a comprehensive understanding of the nature of biased attentional processing in chronic pain and its relationship to theorized antecedents and clinical outcomes is lacking, particularly in youth. This study used eye-tracking to assess attentional bias for painful facial expressions and its relationship to theorized antecedents of chronic pain and clinical outcomes. Youth with chronic pain (n = 125) and without chronic pain (n = 52) viewed face images of varying levels of pain expressiveness while their eye gaze was tracked and recorded. At baseline, youth completed questionnaires to assess pain characteristics, theorized antecedents (pain catastrophizing, fear of pain, and anxiety sensitivity), and clinical outcomes (pain intensity, interference, anxiety, depression, and posttraumatic stress). For youth with chronic pain, clinical outcomes were reassessed at 3 months to assess for relationships with attentional bias while controlling for baseline symptoms. In both groups, youth exhibited an attentional bias for painful facial expressions. For youth with chronic pain, attentional bias was not significantly associated with theorized antecedents or clinical outcomes at baseline or 3-month follow-up. These findings call into question the posited relationships between attentional bias and clinical outcomes. Additional studies using more comprehensive and contextual paradigms for the assessment of attentional bias are required to clarify the ways in which such biases may manifest and relate to clinical outcomes. [less ▲]

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See detailOn unavoidable families of meromorphic functions
Meyrath, Thierry UL

in Canadian Mathematical Bulletin (in press)

We prove several results on unavoidable families of meromorphic functions. For instance, we give new examples of families of cardinality three that are unavoidable with respect to the set of meromorphic ... [more ▼]

We prove several results on unavoidable families of meromorphic functions. For instance, we give new examples of families of cardinality three that are unavoidable with respect to the set of meromorphic functions on $\C$. We further obtain families consisting of less than three functions that are unavoidable with respect to certain subsets of meromorphic functions. In the other direction, we show that for every meromorphic function $f$, there exists an entire function that avoids $f$ on $\C$. [less ▲]

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See detailTowards hypothesis-driven, personalized microbiome screening
Sedrani, Catherine Marie UL; Wilmes, Paul UL

in Cell Reports Methods (in press)

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See detailFostering experimental and computational synergy to modulate hyperinflammation
Del Sol Mesa, Antonio UL

in Trends in Immunology (in press)

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See detailA Deep Dive inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores
Daoudi, Nadia UL; Allix, Kevin UL; Bissyande, Tegawendé François D Assise UL et al

in ACM Transactions on Privacy and Security (in press)

Machine learning (ML) advances have been extensively explored for implementing large-scale malware detection. When reported in the literature, performance evaluation of ML-based detectors generally ... [more ▼]

Machine learning (ML) advances have been extensively explored for implementing large-scale malware detection. When reported in the literature, performance evaluation of ML-based detectors generally focuses on highlighting the ratio of samples that are correctly or incorrectly classified, overlooking essential questions on why/how the learned models can be demonstrated as reliable. In the Android ecosystem, several recent studies have highlighted how evaluation setups can carry biases related to datasets or evaluation methodologies. Nevertheless, there is little work attempting to dissect the produced model to provide some understanding of its intrinsic characteristics. In this work, we fill this gap by performing a comprehensive analysis of a state-of-the-art Android Malware detector, namely DREBIN, which constitutes today a key reference in the literature. Our study mainly targets an in-depth understanding of the classifier characteristics in terms of (1) which features actually matter among the hundreds of thousands that DREBIN extracts, (2) whether the high scores of the classifier are dependent on the dataset age, (3) whether DREBIN's explanations are consistent within malware families, etc. Overall, our tentative analysis provides insights into the discriminatory power of the feature set used by DREBIN to detect malware. We expect our findings to bring about a systematisation of knowledge for the community. [less ▲]

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See detailUncertainty-driven symmetry-breaking and stochastic stability in a generic differential game of lobbying
Boucekkine, Raouf; Fabien, Prieur; Ruan, Weihua et al

in Economic Theory (in press)

We study a 2-players stochastic differential game of lobbying. Players invest in lobbying activities to alter the legislation in her own benefit. The payoffs are quadratic and uncertainty is driven by a ... [more ▼]

We study a 2-players stochastic differential game of lobbying. Players invest in lobbying activities to alter the legislation in her own benefit. The payoffs are quadratic and uncertainty is driven by a Wiener process. We consider the Nash symmetric game where players face the same cost and extract symmetric payoffs, and we solve for Markov Perfect Equilibria (MPE) in the class of affine functions. First, we prove a general sufficient (catching up) optimality condition for two-players stochastic games with uncertainty driven by Wiener processes. Second, we prove that the number and nature of MPE depend on the extent of uncertainty (i.e the variance of the Wiener processes). In particular, we prove that while a symmetric MPE always exists, two asymmetric MPE emerge if and only if uncertainty is large enough. Third, we study the stochastic stability of all the equilibria. We notably find, that the state converges to a stationary invariant distribution under asymmetric MPE. Fourth, we study the implications for rent dissipation asymptotically and compare the outcomes of symmetric vs asymmetric MPE in this respect, ultimately enhancing again the role of uncertainty. [less ▲]

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See detailIs a dynamic approach to tax games relevant?
Paulus, Nora; Pieretti, Patrice UL; Zou, Benteng UL

in Annals of Economics and statistics (in press)

In this paper, we argue that static models provide an incomplete analysis of interjurisdictional tax competition. Accordingly, one can doubt whether a one-shot view is suitable for analyzing real world ... [more ▼]

In this paper, we argue that static models provide an incomplete analysis of interjurisdictional tax competition. Accordingly, one can doubt whether a one-shot view is suitable for analyzing real world tax competition. Contrary to previous contributions in tax competition, we are able to model the interplay between changing tax rates and sluggish factor adjustments. We demonstrate that the intensity of tax competition is impacted by the temporal nature of the game. The commitment of governments to stick to their tax policies for a given period (open-loop behavior) leads to less intense competition relative to a static approach. If the policymakers continuously update their tax rates (Markovian behavior), competition is fiercer than in a static game, except for the case where capital adjustment is relatively sluggish and the governments' marginal valuation of public goods is high enough. [less ▲]

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See detailDistance-based social index numbers: a unifying approach
Bossert, Walter; d'Ambrosio, Conchita UL; Weber, Shlomo

in Journal of Mathematical Economics (in press)

We present a unified approach to the design of social index numbers. Our starting point is a model that employs an exogenously given partition of the population into subgroups. Three classes of group ... [more ▼]

We present a unified approach to the design of social index numbers. Our starting point is a model that employs an exogenously given partition of the population into subgroups. Three classes of group-dependent measures of deprivation are characterized. The three groups are nested and, beginning with the largest of these, we narrow them down by successively adding two additional axioms. This leads to a parameterized class the members of which are based on the differences between the income (or wealth) levels of an individual and those who are better off. We then proceed to show that our measures are sufficiently general to accommodate a plethora of indices, including measures of inequality and polarization as well as distance-based measures of phenomena such as diversity and fractionalization. [less ▲]

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See detailDiskurs-Figuren. Wie Politik und Öffentlichkeit über Sprache sprechen
Purschke, Christoph UL

in Pigeron, Isabelle; Poirier, Philippe (Eds.) Vingt années de recherches électorales au Luxembourg (in press)

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See detailHow to conduct a meta‑analysis in eight steps: a practical guide
Hansen, Christopher UL; Steinmetz, Holger; Block, Jörn

in Management Review Quarterly (in press)

Detailed reference viewed: 54 (1 UL)
See detailNorm und Normativität
Becker, Katrin UL

in Schneck,; Lieb, Claudia; Siebenpfeiffer, Hania (Eds.) Handbuch Literatur und Recht (in press)

Detailed reference viewed: 8 (0 UL)