InterFlowCeption: Foundations for Technological Enhancement of Interoception to Foster Flow States during Mental Work: About the potential of technologically supported body awareness to promote flow experiences during mental work

Conducting mental work by interacting with digital technology increases productivity, but strains attentional capacities and mental well-being. In consequence, many mental workers try to cultivate their fow experience. However, this is complex and difcult to achieve. Nevertheless, current technological systems do not yet provide this support in mental work. As interoception, the individual bodily awareness is an underlying mechanism of numerous fow correlates, it might ofer a new approach for fow-supporting systems in these scenarios. Results from a survey study with 176 digital workers show that adaptive regulation of interoceptive sensations correlates with higher levels of fow and engagement. Additionally, regular mindfulness practices improved workers’ adaptive regulation of bodily signals. Based on these results and integrating the current literature, this work conceptualizes three future technological support systems, such as interoceptive biofeedback, and electrical or auditory stimulation to enhance interoceptive awareness and foster fow in mental work

Crystallographic analysis of rock grain orientation at meso- and microscale levels

This paper studies the results of electron backscatter diffraction analysis of naturally deformedpolycrystalline olivine. It also defines the dependence of lattice-preferred orientations of grains on their microstructural position and size. The authors detect the basic mechanisms, consequence and thermal dynamic modes of deformation. They also show that the development of a polycrystalline structure is determined by the following consecutive activation of sliding systems (010)[100] → {0kl}[100] → (100)[010] → {100}[001] → {110}[001], when dislocation sliding and diffusion creep change under the temperature decrease from 1000°C to 650°C

REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits

This paper presents the new and now open-source version 2.1 of the REgional Model of INvestments and Development (REMIND). REMIND, as an integrated assessment model (IAM), provides an integrated view of the global energy–economy–emissions system and explores self-consistent transformation pathways. It describes a broad range of possible futures and their relation to technical and socio-economic developments as well as policy choices. REMIND is a multiregional model incorporating the economy and a detailed representation of the energy sector implemented in the General Algebraic Modeling System (GAMS). It uses non-linear optimization to derive welfare-optimal regional transformation pathways of the energy-economic system subject to climate and sustainability constraints for the time horizon from 2005 to 2100. The resulting solution corresponds to the decentralized market outcome under the assumptions of perfect foresight of agents and internalization of external effects. REMIND enables the analyses of technology options and policy approaches for climate change mitigation with particular strength in representing the scale-up of new technologies, including renewables and their integration in power markets. The REMIND code is organized into modules that gather code relevant for specific topics. Interaction between different modules is made explicit via clearly defined sets of input and output variables. Each module can be represented by different realizations, enabling flexible configuration and extension. The spatial resolution of REMIND is flexible and depends on the resolution of the input data. Thus, the framework can be used for a variety of applications in a customized form, balancing requirements for detail and overall runtime and complexity

Deutschland auf dem Weg zur Klimaneutralität 2045 - Szenarien und Pfade im Modellvergleich (Zusammenfassung)

Erstmals stellt die vorliegende Szenarienanalyse für Deutschland konkreteTransformationspfade zur Klimaneutralität 2045 auf der Basis eines umfassenden Modellvergleichs vor. Das Besondere an dieser Studie des Ariadne-Projektes ist, dass sechs Gesamtsystem- und Sek-tormodelle in einer Studie integriert wurden, die sich in ihren jeweiligen Stärken ergänzen: Für spezifische Fragestellungen wurde jeweils dasjenige Modell als Leitmodell hervorgehoben, welches die entsprechenden Aspekte am genauesten abbildet. Weitere Modelle wurden genutzt, um Auswirkungen der Transformation auf Umweltschutzgüter und die Verteilung der Kosten auf verschiedene Einkommensgruppen zu analysieren.Dieser breit gefächerte Ansatz ermöglicht es, die Implikationen der Energiewende robust und im Detail zu beschreiben

Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und Kontinuitätsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: Geschäftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

Threat from the inside: Determinants of defensive responses to body sensations and clinical implications

Body sensations play a crucial role in the etiology and maintenance of diverse anxiety and health problems (e.g., in panic disorder or respiratory diseases) as they may be perceived as threatening and consequently elicit anxious responses. The factors that may affect the perception of bodily sensations as a threat and thus modulate the anxious response to body sensations have so far rarely been studied. Therefore, the present thesis targeted at elucidating the effect of contextual (i.e., the predictability, expectation, and proximity of a threat) and dispositional factors (i.e., tendency to fear arousal sensations or trait fear of suffocation) on the defensive response to body sensations. In study 1, it was investigated how a personality factor, that is, fear of suffocation, affects the acquisition of fear to body sensations (i.e., mild dyspnea induced by inspiratory resistive loads) and contexts when faced with a predictable and unpredictable respiratory threat (i.e., severe dyspnea). Study 2 aimed at examining the main and interactive effects of the tendency to fear arousal sensations, again a personality trait factor, and current arousal expectations as varied by situational variables on anxious responding to arousal sensations. In this study, expected and unexpected arousal sensations were induced by administering caffeine in coffee or bitter lemon soda, respectively. Moreover, in study 3, it was explored how subjective anxiety, bodily symptoms, and defensive respiratory responses change and might culminate into active defense behavior (i.e., escape/active avoidance) during increasing dyspnea that was evoked by inspiratory resistive loads increasing in intensity. For a detailed analysis of the factors that contribute to the initiation and maintenance of avoidance of or escape from increasing dyspnea, in study 4 changes in subjective, autonomic, somatic reflex and brain responses were analyzed during repeated avoidance of increasing dyspnea. In study 1, it was demonstrated that only individuals who fear suffocation learned to fear mild dyspnea preceding the onset of severe dyspnea and developed anxiety during a context of unpredictable respiratory threat. Moreover, the data from study 2 indicate that individuals who fear arousal sensations show an increased attention allocation towards unexpected arousal sensations and higher threat appraisal when expecting arousal sensations. Increasing intensity of dyspnea as provoked in study 3 led to increased defensive respiratory responses that were associated with increased symptom reports in individuals with high compared to low fear of suffocation. Moreover, culminating dyspnea elicited repeated avoidance behavior preceded by increases in defensive respiratory mobilization. The analysis of repeated avoidance of increasing dyspnea in study 4 revealed that physiological fear responses might be involved in the initial initiation of this avoidance behavior while no indication of response preparation and physiological arousal was related to persistent avoidance. Taken together, the present data suggest that the fear of suffocation, as well as the tendency to fear arousal sensations along with the predictability, expectation, or proximity of interoceptive threat, may increase the perceived threat and thus the anxious response to body sensations. Therefore, contextual and dispositional factors may set the stage for the culmination of body sensations into defensive action and might contribute to the development of pathological anxiety and fear of body sensations. The present findings are integrated into the current literature and discussed in relation to the development and maintenance of pathological anxiety and fear of body sensations.Körperempfindungen spielen eine wesentliche Rolle bei Angststörungen und respiratorischen Erkrankungen, da sie als bedrohlich wahrgenommen werden können und folglich ängstliche Reaktionen hervorrufen. Die Faktoren, die diese wahrgenommene Bedrohung beeinflussen können sowie die ängstliche Reaktion auf Körperempfindungen, wurden bisher kaum untersucht. Aus diesem Grund zielte die vorliegende Arbeit darauf ab, zu untersuchen, wie kontextuelle (sprich, die Vorhersagbarkeit, Erwartung und Nähe von Bedrohung) und dispositionelle Faktoren (Furcht vor Erregungssymptomen bzw. vor Erstickungssensationen) die defensive Reaktion auf Körperempfindungen beeinflussen. In Studie 1 wurde untersucht, wie die Angst vor Erstickung den Erwerb von Furcht vor Körperempfindungen (sprich vor leichter Atemnot, hervorgerufen durch inspiratorische Atemwiderstände) und Kontexten bei vorhersagbarer und unvorhersagbarer respiratorischer Bedrohung (schwere Atemnot) beeinflusst. Studie 2 zielte darauf ab, die Haupt- und Interaktionseffekte der Furcht vor Erregungssymptomen und der Erregungserwartung auf die ängstliche Reaktion auf Erregungssensationen zu untersuchen. In dieser Studie wurden erwartete und unerwartete Erregungsempfindungen durch die Gabe von Koffein in Kaffee bzw. Bitter Lemon Brause hervorgerufen. Darüber hinaus wurde in Studie 3 untersucht, wie Angst, Körpersymptome und defensive respiratorische Reaktionen sich während der Präsentation ansteigender Atemnot verändern und möglicherweise in aktives Defensivverhalten (d.h. Flucht- und Vermeidungsverhalten) gipfeln. Für eine detaillierte Analyse der Faktoren, die zur Initiierung und Aufrechterhaltung der Vermeidung von oder Flucht vor ansteigender Atemnot beitragen, wurden in Studie 4 Veränderungen in subjektiven, autonomen, somatischen Reflex- und Hirnreaktionen bei wiederholter Vermeidung von ansteigender Atemnot analysiert. In Studie 1 wurde gezeigt, dass lediglich Personen mit hoher Erstickungsangst Furcht vor leichter Atemnot, die das Einsetzen schwerer Atemnot vorhersagte, und Angst im Kontext einer unvorhersagbaren respiratorischen Bedrohung entwickelten. Darüber hinaus weisen die Daten aus Studie 2 darauf hin, dass Individuen mit der Furcht vor Erregungssymptomen durch eine erhöhte Aufmerksamkeitszuwendung gegenüber unerwarteten Erregungsempfindungen und eine höhere Einschätzung der Bedrohung bei der Erwartung von Erregungsempfindungen charakterisiert sind. Die in Studie 3 hervorgerufene ansteigende Atemnot führte bei Personen mit hoher im Vergleich zu niedriger Erstickungsangst zu einer gesteigerten defensiven respiratorischen Mobilisierung, die mit stärker berichteten Symptomen assoziiert waren. Zudem wurde wiederholtes Vermeidungsverhalten beobachtet, welches mit starker defensiver respiratorischer Mobilisierung assoziiert war. Die Analyse der wiederholten Vermeidung ansteigender Atemnot in Studie 4 zeigte, dass physiologische Furchtreaktionen bei der ersten Initiierung dieses Vermeidungsverhaltens beteiligt sein könnten, während kein Hinweis auf eine Handlungsvorbereitung oder physiologische Erregung während persistierender, wiederholter Vermeidung beobachtet wurde. Zusammengenommen deuten die vorliegenden Daten darauf hin, dass die Angst vor Erstickung sowie die Furcht vor Erregungssymptomen, zusammen mit der Vorhersagbarkeit, Erwartung oder Nähe einer interozeptiven Bedrohung die wahrgenommene Bedrohung verstärken und damit die ängstliche Reaktion auf Körpersensationen erhöhen können. Kontextuelle und dispositionelle Faktoren können daher die Kulmination von Körperempfindungen in aktives Defensivverhalten beeinflussen und zur Entstehung von pathologischen Ängsten und Furcht vor Körperempfindungen beitragen. Die vorliegenden Befunde werden in die aktuelle Literatur integriert und in Bezug auf die Entwicklung und Aufrechterhaltung von pathologischen Ängsten und Furcht vor Körperempfindungen diskutiert

Optimizing extinction learning: occasional reinforced extinction using mental imagery of the unconditioned stimulus

Exposure therapy is an effective approach for the treatment of various anxiety disorders. However, a substantial number of patients relapse, i.e. experience a return of fear, after successful exposure-based therapy (Craske et al., 2018). Several strategies have been suggested to facilitate fear extinction - a central mechanism underlying the reduction of fear in exposure-based treatments. One promising approach to enhance fear extinction involves the occasional presentation of the unconditioned stimulus (US) during extinction training (occasional reinforced extinction, ORE) – either unpaired or paired with the conditioned stimulus (CS). Various experimental studies (e.g., Culver et al., 2018; Lipp et al., 2021; Quintero et al., 2021; Shiban et al., 2015; Thompson et al., 2018; Vervliet et al., 2010) provide initial evidence for a less pronounced return of fear after paired or unpaired presentations of the US during extinction training. However, given that the confrontation with events, which may have contributed to the development of pathological fear, may not be viable or ethical during exposure therapy, the transfer of the ORE procedure used in previous laboratory studies into the clinical setting seems limited. One possibility to facilitate the transfer of the ORE approach into clinical practice could be the use of vivid imagination of the US during extinction training instead of actual exposure to the US. Previous studies have demonstrated that mental imagery of aversive events (e.g., imagery of an electric shock) elicit similar fear responses as would be evoked during actual experience of the aversive event (Lang et al., 1980; Mueller et al., 2019). In the present study, we aim to investigate the extinction of fear responses in a novel approach using the ORE protocol using mental imagery to elicit the emotional response originally associated with the US. In the present study, participants will undergo a differential fear conditioning protocol (presentation of two pictures; one picture is paired with the presentation of an electric shock), an extinction training phase, and return of fear tests (spontaneous recovery, reacquisition and reinstatement of fear). Participants will receive either a non-reinforced, occasional paired reinforced, or occasional unpaired extinction training. During the paired reinforced and unpaired extinction training, participants will be instructed to produce a vivid image of the US (i.e., the electric shock)

Purchasing under threat: Changes in shopping patterns during the COVID-19 pandemic.

The spreading of COVID-19 has led to panic buying all over the world. In this study, we applied an animal model framework to elucidate changes in human purchasing behavior under COVID-19 pandemic conditions. Purchasing behavior and potential predictors were assessed in an online questionnaire format (N = 813). Multiple regression analyses were used to evaluate the role of individually Perceived Threat of COVID-19, anxiety related personality traits (trait-anxiety, intolerance of uncertainty) and the role of media exposure in predicting quantity and frequency of purchasing behavior. High levels of Perceived Threat of COVID-19 were associated significantly with a reported reduction in purchasing frequency (b = -.24, p < .001) and an increase in the quantity of products bought per purchase (b = .22, p < .001). These results are comparable to observed changes in foraging behavior in rodents under threat conditions. Higher levels of intolerance of uncertainty (b = .19, p < .001) and high extend of media exposure (b = .27, p < .001) were positively associated with Perceived Threat of COVID-19 and an increase in purchasing quantity. This study contributes to our understanding of aberrated human purchasing behavior and aims to link findings from animal research to human behavior beyond experimental investigations

Temporal dynamics in mental health symptoms and loneliness during the COVID-19 pandemic in a longitudinal probability sample: a network analysis.

Figuring out which symptoms are central for symptom escalation during the COVID-19 pandemic is important for targeting prevention and intervention. Previous studies have contributed to the understanding of the course of psychological distress during the pandemic, but less is known about key symptoms of psychological distress over time. Going beyond a pathogenetic pathway perspective, we applied the network approach to psychopathology to examine how psychological distress unfolds in a period of maximum stress (pre-pandemic to pandemic onset) and a period of repeated stress (pandemic peak to pandemic peak). We conducted secondary data analyses with the Understanding Society data (N = 17,761), a longitudinal probability study in the UK with data before (2019), at the onset of (April 2020), and during the COVID-19 pandemic (November 2020 & January 2021). Using the General Health Questionnaire and one loneliness item, we computed three temporal cross-lagged panel network models to analyze psychological distress over time. Specifically, we computed (1) a pre-COVID to first incidence peak network, (2) a first incidence peak to second incidence peak network, and (3) a second incidence peak to third incidence peak network. All networks were highly consistent over time. Loneliness and thinking of self as worthless displayed a high influence on other symptoms. Feeling depressed and not overcoming difficulties had many incoming connections, thus constituting an end-product of symptom cascades. Our findings highlight the importance of loneliness and self-worth for psychological distress during COVID-19, which may have important implications in therapy and prevention. Prevention and intervention measures are discussed, as single session interventions are available that specifically target loneliness and worthlessness to alleviate mental health problems