A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends

Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyse and understand the visual content of images. However, imagerelated tasks are very challenging due to many factors, e.g., high variations across images, high dimensionality, domain expertise requirement, and image distortions. Evolutionary computation (EC) approaches have been widely used for image analysis with significant achievement. However, there is no comprehensive survey of existing EC approaches to image analysis. To fill this gap, this paper provides a comprehensive survey covering all essential EC approaches to important image analysis tasks including edge detection, image segmentation, image feature analysis, image classification, object detection, and others. This survey aims to provide a better understanding of evolutionary computer vision (ECV) by discussing the contributions of different approaches and exploring how and why EC is used for CV and image analysis. The applications, challenges, issues, and trends associated to this research field are also discussed and summarised to provide further guidelines and opportunities for future research

Novel methods for posture-based human action recognition and activity anomaly detection

PhD ThesisArti cial Intelligence (AI) for Human Action Recognition (HAR) and Human Activity Anomaly Detection (HAAD) is an active and exciting research eld. Video-based HAR aims to classify human actions and video-based HAAD aims to detect abnormal human activities within data. However, a human is an extremely complex subject and a non-rigid object in the video, which provides great challenges for Computer Vision and Signal Processing. Relevant applications elds are surveillance and public monitoring, assisted living, robotics, human-to-robot interaction, prosthetics, gaming, video captioning, and sports analysis. The focus of this thesis is on the posture-related HAR and HAAD. The aim is to design computationally-e cient, machine and deep learning-based HAR and HAAD methods which can run in multiple humans monitoring scenarios. This thesis rstly contributes two novel 3D Histogram of Oriented Gradient (3D-HOG) driven frameworks for silhouette-based HAR. The 3D-HOG state-of-the-art limitations, e.g. unweighted local body areas based processing and unstable performance over di erent training rounds, are addressed. The proposed methods achieve more accurate results than the baseline, outperforming the state-of-the-art. Experiments are conducted on publicly available datasets, alongside newly recorded data. This thesis also contributes a new algorithm for human poses-based HAR. In particular, the proposed human poses-based HAR is among the rst, few, simultaneous attempts which have been conducted at the time. The proposed HAR algorithm, named ActionXPose, is based on Convolutional Neural Networks and Long Short-Term Memory. It turns out to be more reliable and computationally advantageous when compared to human silhouette-based approaches. The ActionXPose's exibility also allows crossdatasets processing and more robustness to occlusions scenarios. Extensive evaluation on publicly available datasets demonstrates the e cacy of ActionXPose over the state-of-the-art. Moreover, newly recorded data, i.e. Intelligent Sensing Lab Dataset (ISLD), is also contributed and exploited to further test ActionXPose in real-world, non-cooperative scenarios. The last set of contributions in this thesis regards pose-driven, combined HAR and HAAD algorithms. Motivated by ActionXPose achievements, this thesis contributes a new algorithm to simultaneously extract deep-learningbased features from human-poses, RGB Region of Interests (ROIs) and detected objects positions. The proposed method outperforms the stateof- the-art in both HAR and HAAD. The HAR performance is extensively tested on publicly available datasets, including the contributed ISLD dataset. Moreover, to compensate for the lack of data in the eld, this thesis also contributes three new datasets for human-posture and objects-positions related HAAD, i.e. BMbD, M-BMdD and JBMOPbD datasets

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available

Seeking the Leviathan, the General Will and the Invisible Hand in Rural Guinea, West Africa: A Science of Human Nature

The dissertation builds a bridge from the social-philosophical works of Hobbes, Rousseau, and Smith to current game theoretical models explaining social order to two empirical applications in a rural region of Guinea. The work focuses on the central role of natural resources for human societies and uses two empirical studies to test general hypotheses on the drivers of the sustainable exploitation and the equitable distribution of natural resources. The work strictly follows a quantitative empirical approach. After discussing the methodological foundations of statistical causal analysis in a first step, the various approaches are evaluated in a simulation study. Finally, the most successful of these approaches finds its application in the analysis of the empirical data, which was collected during field research in Guinea. In the observational study, socioeconomic data are combined with environmental data to model the influence of humans on the occurrence of wild species that are exploited for economic purposes in the study area. In the experimental study, socioeconomic data is linked to experimental data from a resource distribution game to identify factors affecting the people’s behavior when sharing a common natural resource. Both the exploitation of wild species and the sharing of a natural resource show that the social context is crucial for the understanding of human behavior, as postulated by Hobbes, Rousseau, and Smith: reputation, market integration, inequality and homogeneity of the population, as well as the salience of moral norms and property rights are essential dimensions.Die Dissertation widmet sich der zentralen Rolle von natürlichen Ressourcen für menschliche Gesellschaften. Anhand zweier empirischer Studien werden allgemeine Hypothesen zu den Determinanten der nachhaltigen Ausbeutung und gerechten Verteilung von natürlichen Ressourcen getestet. Dabei wird in der Arbeit eine Brücke von den Werken der Sozialphilosophen Hobbes, Rousseau und Smith, über aktuelle spieltheoretische Modelle zur Erklärung sozialer Ordnung, hin zu zwei empirischen Anwendungen in einer ländlichen Region Guineas geschlagen. Die Arbeit folgt strikt einem empirischen quantitativen Ansatz. Nach der Erörterung der methodischen Grundlagen der statistischen Kausalanalyse werden die verschiedenen Ansätze im Rahmen einer Simulationsstudie evaluiert. Schließlich findet der erfolgreichste dieser Ansätze in der Auswertung der Daten, die bei der Feldforschung in Guinea erhoben wurden, Anwendung. In der Beobachtungsstudie werden sozioökonomische Daten mit ökologischen Daten verknüpft, um den Einfluss der Menschen auf das Vorkommen von wilden Arten, die zu ökonomischen Zwecken ausgebeutet werden, im Untersuchungsgebiet zu modellieren. In der Experimentalstudie werden sozioökonomische Daten mit Experimentaldaten aus einem Ressourcenverteilungsspiel verknüpft, um Faktoren zu identifizieren, welche sich auf das Verhalten von Menschen beim Teilen einer gemeinsamen natürlichen Ressource auswirken. Sowohl für die Ausbeutung der wilden Arten, wie auch für das gemeinsame Teilen einer natürlichen Ressource gilt, dass der soziale Kontext für das Verhalten der Menschen von großer Relevanz ist, wie von Hobbes, Rousseau und Smith postuliert: Reputation, Marktintegration, Ungleichheit und Homogenität der Bevölkerung sowie die Salienz moralischer Normen und Eigentumsrechte sind entscheidende Dimensionen

Seeking the Leviathan, the General Will and the Invisible Hand in Rural Guinea, West Africa: A Science of Human Nature

The dissertation builds a bridge from the social-philosophical works of Hobbes, Rousseau, and Smith to current game theoretical models explaining social order to two empirical applications in a rural region of Guinea. The work focuses on the central role of natural resources for human societies and uses two empirical studies to test general hypotheses on the drivers of the sustainable exploitation and the equitable distribution of natural resources. The work strictly follows a quantitative empirical approach. After discussing the methodological foundations of statistical causal analysis in a first step, the various approaches are evaluated in a simulation study. Finally, the most successful of these approaches finds its application in the analysis of the empirical data, which was collected during field research in Guinea. In the observational study, socioeconomic data are combined with environmental data to model the influence of humans on the occurrence of wild species that are exploited for economic purposes in the study area. In the experimental study, socioeconomic data is linked to experimental data from a resource distribution game to identify factors affecting the people’s behavior when sharing a common natural resource. Both the exploitation of wild species and the sharing of a natural resource show that the social context is crucial for the understanding of human behavior, as postulated by Hobbes, Rousseau, and Smith: reputation, market integration, inequality and homogeneity of the population, as well as the salience of moral norms and property rights are essential dimensions.Die Dissertation widmet sich der zentralen Rolle von natürlichen Ressourcen für menschliche Gesellschaften. Anhand zweier empirischer Studien werden allgemeine Hypothesen zu den Determinanten der nachhaltigen Ausbeutung und gerechten Verteilung von natürlichen Ressourcen getestet. Dabei wird in der Arbeit eine Brücke von den Werken der Sozialphilosophen Hobbes, Rousseau und Smith, über aktuelle spieltheoretische Modelle zur Erklärung sozialer Ordnung, hin zu zwei empirischen Anwendungen in einer ländlichen Region Guineas geschlagen. Die Arbeit folgt strikt einem empirischen quantitativen Ansatz. Nach der Erörterung der methodischen Grundlagen der statistischen Kausalanalyse werden die verschiedenen Ansätze im Rahmen einer Simulationsstudie evaluiert. Schließlich findet der erfolgreichste dieser Ansätze in der Auswertung der Daten, die bei der Feldforschung in Guinea erhoben wurden, Anwendung. In der Beobachtungsstudie werden sozioökonomische Daten mit ökologischen Daten verknüpft, um den Einfluss der Menschen auf das Vorkommen von wilden Arten, die zu ökonomischen Zwecken ausgebeutet werden, im Untersuchungsgebiet zu modellieren. In der Experimentalstudie werden sozioökonomische Daten mit Experimentaldaten aus einem Ressourcenverteilungsspiel verknüpft, um Faktoren zu identifizieren, welche sich auf das Verhalten von Menschen beim Teilen einer gemeinsamen natürlichen Ressource auswirken. Sowohl für die Ausbeutung der wilden Arten, wie auch für das gemeinsame Teilen einer natürlichen Ressource gilt, dass der soziale Kontext für das Verhalten der Menschen von großer Relevanz ist, wie von Hobbes, Rousseau und Smith postuliert: Reputation, Marktintegration, Ungleichheit und Homogenität der Bevölkerung sowie die Salienz moralischer Normen und Eigentumsrechte sind entscheidende Dimensionen

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

The Role of Social Capital in Human Evolution: lessons from BaYaka Hunter-Gatherers

Many of Homo sapiens’ defining characteristics relate to our sociality—our advanced mind reading abilities; sophisticated languages; diverse cultural norms and practices that manifest as highly differentiated rituals and religions; and ‘hyper-cooperative’ tendencies. Thus, understanding the evolution of human sociality is indispensable for a complete understanding of humanity. One question that remains unanswered is how individual differences in social integration within the group affect biological fitness. I explore this question by studying BaYaka hunter-gatherers living in the rainforests of Northern Congo. For the vast majority of our species’ history we lived as hunter-gatherers, hence such populations offer a valuable insight into human evolution. The overarching hypothesis presented is that cooperation is a fundamental means by which hunter-gatherers surmount the ecological challenges they face. Therefore, if certain individuals have superior access to cooperation from other group members, which I refer to as social capital, they are likely to achieve higher fitness. I use childcare practices as a case study to demonstrate how essential cooperation is for the BaYaka. Employing a novel method, using wireless sensing devices to track proximate interactions, I find mothers only account for ~25% of the proximate interactions of 0–4 year olds. The analyses also show that this form of cooperation in childcare is preferentially directed towards kin and reciprocal partners. I use economic gift games to measure social capital and confirm that it varies considerably between group members. Moreover, I find that it is associated with larger food sharing networks and higher body-mass index, indicating it enhances one’s ability to buffer the food risk inherent with hunter-gatherer subsistence. Additionally, I show that social capital positively predicts polygynous marriage in men (whereas physical attributes do not), as well as age-specific fertility in women. Finally, I find some evidence for a heritable component of social capital, suggesting that the evolutionary advantages it confers may accrue over multiple generations. These results have important implications for our understanding of the processes underlying human social evolution. Additionally, they help to explain how fitness variance emerges in egalitarian hunter-gatherers, and why social integration is consistently linked with mental and physical health