Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings (Lecture Notes in Business Information Processing, 446)

Preface
Organization
Engineering the New Fabric of the Information Infrastructure - IoT, Edge, and Cloud
“We Are Open. The Door is Just Very Heavy”: New Challenges in Information Science or How can IS Help with Fairness, Diversity, Non-Discrimination?
Contents
Data Science and Data Management
Personal Data Markets: A Narrative Review on Influence Factors of the Price of Personal Data
	1 Introduction
	2 Research Approach and Sample
		2.1 Research Approach
		2.2 Sample Description
	3 Results
		3.1 General Results
		3.2 Influence Factors on Pricing Personal Data
	4 Synthesis of Findings
	5 Conclusion and Limitations
	Appendix - Overview of Included Papers
	References
What's in a (Data) Type? Meaningful Type Safety for Data Science
	1 Introduction
	2 Datatypes Fail to Typify Data
		2.1 Time
		2.2 Mereology
		2.3 Provenance
	3 Current Approaches
		3.1 Documentation Standards
		3.2 Provenance Tracking
		3.3 Knowledge Representation
	4 Case Study: StatCAN Census Data
		4.1 Example Operations
	5 Meaningful Type Safety Framework (MeTS)
		5.1 Interface Component
		5.2 Typing Component
	6 Type System
		6.1 Syntax
		6.2 Expression Trees
		6.3 Preconditions
		6.4 Implementation
	7 Application and Evaluation on StatCAN Data
		7.1 Disjointedness
		7.2 Provenance
	8 Research Program
		8.1 Correspondence Theorem
		8.2 Tractability
	9 Conclusion
	References
Research Data Management in the Image Lifecycle: A Study of Current Behaviors
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Results
		4.1 Planning
		4.2 Creation/Compilation
		4.3 Quality Assurance
		4.4 Processing/Analysis
		4.5 Description
		4.6 Storage
		4.7 Sharing
	5 Discussion
	6 Conclusion and Future Work
	References
Information Search and Analysis
Towards an Arabic Text Summaries Evaluation Based on AraBERT Model
	1 Introduction
	2 Related Works
	3 Challenges of Arabic Language Processing
	4 Proposed Method
		4.1 Features
		4.2 Model Construction
	5 Dataset
	6 Results and Discussion
		6.1 Summary Evaluation Level
		6.2 System Evaluation Level
	7 Conclusion
	References
A Recommender System for EOSC. Challenges and Possible Solutions
	1 Introduction
	2 Overview of Recommender Systems
		2.1 Goals of a Recommender System
		2.2 Academic Recommender Systems
		2.3 Novel Approaches for Building Recommender Systems
	3 A Recommender System for EOSC
		3.1 About EOSC
		3.2 EOSC Users
		3.3 Motivation for Improved Recommendations in EOSC
		3.4 User Demands for Recommendations in EOSC
	4 Challenges for the EOSC Recommender System
	5 EOSC Recommender System – Architecture and Data Processing
		5.1 Online Modules
		5.2 Nearline Modules
		5.3 Offline Modules
		5.4 A Data Flow Example
	6 Discussion
	7 Summary
	References
ERIS: An Approach Based on Community Boundaries to Assess Polarization in Online Social Networks
	1 Introduction
	2 Related Work
	3 The ERIS Method
		3.1 Formal Definitions
		3.2 Algorithm
	4 Experimentations
		4.1 Execution on Large Graphs
		4.2 Case Study on Real Data
	5 Discussions
	6 Conclusion
	References
Business Process Management
Progress Determination of a BPM Tool with Ad-Hoc Changes: An Empirical Study
	1 Introduction
	2 Backgrounds
	3 Research Methodology and Study Design
		3.1 Research Questions
		3.2 Data Collection Method
		3.3 Study Design
		3.4 Data Analysis Method
	4 Evaluation
	5 Related Work
	6 Summary and Outlook
	References
Enabling Conformance Checking for Object Lifecycle Processes
	1 Introduction
	2 Fundamentals
	3 Problem Statement
	4 Granularity and Flexibility of Lifecycle Processes
		4.1 Granularity of Object Lifecycle Processes
		4.2 Flexibility in Object Lifecycle Processes
		4.3 Flexibility on State Level
		4.4 Flexibility on Step Level
	5 Conformance Checking of Lifecycle Processes
		5.1 Conformance Categories
		5.2 Leveraging Conformance Categories for Process Analysis
	6 Experimental Evaluation
	7 Related Work
	8 Summary and Outlook
	References
A Framework to Improve the Accuracy of Process Simulation Models
	1 Introduction
	2 Overall Idea and Motivation
	3 Preliminary
	4 Our Framework
		4.1 Basic Features
		4.2 Extended Features for Declare Rules
		4.3 Temporal Features
		4.4 Application of the Framework Using Different Features
		4.5 Feature Selection and Normalization
	5 Discussion
	6 Implementation and Experiments
	7 Related Works
	8 Conclusion
	References
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
	1 Introduction
	2 Related Work
	3 Background and Preliminaries
		3.1 Process-Aware Information Systems (PAISs)
		3.2 Object-Centric Petri Nets (OCPNs)
	4 Modeling PAISs: Digital Twin Interface Model
		4.1 Modeling PAIS Entities
		4.2 Modeling PAIS Updates
	5 Impact Analysis
		5.1 Structural Impact Analysis
		5.2 Operational Impact Analysis
		5.3 Performance Impact Analysis
	6 Evaluation
		6.1 Implementation
		6.2 Case Study
	7 Conclusions
	References
Hybrid Business Process Simulation: Updating Detailed Process Simulation Models Using High-Level Simulations
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Process Mining
		3.2 System Dynamics
	4 Approach
		4.1 DES Simulation
		4.2 SD Simulation
		4.3 Designing and Updating the Interface Variables
	5 Proof of Concept
		5.1 Implementation
		5.2 Designed Process and Scenario
		5.3 Hybrid Simulation of the Sample Process
	6 Discussion
	7 Conclusion
	References
Business Process Mining
Towards Event Log Management for Process Mining - Vision and Research Challenges
	1 Introduction
	2 Preliminaries
		2.1 Process Mining
		2.2 Event Logs
	3 Method
		3.1 Narrative
		3.2 Artifact Network
	4 Event Log Management Framework
		4.1 Event Log Lifecycle
		4.2 Event Log Foundation
		4.3 Event Log Governance
	5 Discussion and Limitations
	6 Conclusion and Future Research
	References
Process Mining for Process Improvement - An Evaluation of Analysis Practices
	1 Introduction
	2 Background and Related Work
	3 Empirical Method
		3.1 Study Setup
		3.2 Data Collection and Analysis
	4 Findings
		4.1 Identifying Improvement Opportunities
		4.2 Selecting Improvement Opportunities
		4.3 Communicating Results
	5 Discussion
		5.1 Implications
		5.2 Limitations
	6 Conclusion
	References
Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes
	1 Introduction
	2 Background and Related Work
	3 Identification of Batch Processing Inefficiencies
		3.1 Batch Processing Discovery
		3.2 Batch Processing Behavior Analysis
		3.3 Waiting Time Analysis of Batch Processing Activities
	4 Evaluation
		4.1 Experiments with Synthetic Data
		4.2 Experiments with a Real-Life Log
	5 Conclusion
	References
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Event Log
		3.2 Next Activity Prediction
		3.3 Unsupervised Anomaly Detection
	4 Approach
		4.1 Predictive Anomaly Detection (PAD)
		4.2 Online PAD Using Sliding Window and Retraining Interval
	5 Empirical Evaluation
		5.1 Setup of Evaluation
		5.2 Baseline - Unsupervised Anomalous Event Detection
	6 Result and Discussion
	7 Conclusion and Challenges
	References
Process Mining: A Guide for Practitioners
	1 Introduction
	2 Related Work
	3 Systematic Literature Review
	4 Results
		4.1 Process Mining Use Cases
		4.2 Business-Oriented Questions
	5 Framework
		5.1 Framework Instantiation
		5.2 Limitations
	6 Conclusion
	References
Digital Transformation and Smart Life
How Do Startups and Corporations Engage in Open Innovation? An Exploratory Study
	1 Introduction
	2 Background
		2.1 Digital Transformation
		2.2 Open Innovation
	3 Research Method
	4 Results
		4.1 Overview of Studied Startups and Corporations 
		4.2 Engagement Models Adopted by Startups with Corporations
		4.3 Drivers Involved in Startup-Corporation Relationships
		4.4 Challenges for Startups and Corporations
		4.5 Benefits for Startups and Corporations
	5 Lessons Learned and Recommendations
		5.1 Recommendations for Startups
		5.2 Recommendations for Corporations 
	6 Related Work
	7 Conclusions, Limitations and Future Work
	References
Smart Life: Review of the Contemporary Smart Applications
	1 Introduction
	2 Research Approach
	3 Analysis of Smart Application Research
		3.1 Taxonomy and Evolution of Smart Applications
		3.2 Sources of Papers Publishing on Smart Applications
		3.3 Smart Applications Underlying Terminology
		3.4 Smart Life Driving Factors
	4 Conclusion and Future Research
	References
Conceptual Modelling and Ontologies
Conceptual Integration for Social-Ecological Systems
	1 Introduction
	2 Social-Ecological Systems
		2.1 Social-Ecological System Framework
		2.2 Ecosystem Services
	3 Ontological Foundations for Social-Ecological Systems
		3.1 Ontological Clarification of SESs Components
		3.2 Integrated Social-Ecological Perspectives Framework
	4 Conclusions and Future Works
	References
Contratto – A Method for Transforming Legal Contracts into Formal Specifications
	1 Introduction
	2 Research Baseline
	3 The Transformation Process
	4 The Contratto Environment
	5 Related Work
	6 Conclusions
	References
Ontological Foundations for Trust Dynamics: The Case of Central Bank Digital Currency Ecosystems
	1 Introduction
	2 The Reference Ontology of Trust (ROT)
	3 Modeling Trust Dynamics
		3.1 Trust Influencing Trust
		3.2 Mental Biases
		3.3 Trust Calibration Signals
		3.4 Trustworthiness Evidence
	4 Case Study: Citizens' Trust in CBDC Ecosystems
		4.1 Research Method
		4.2 Research Context: CBDC Ecosystems
		4.3 Modeling Citizen's Trust in CBDC Ecosystems
		4.4 Discussion
	5 Related Work
	6 Conclusions
	References
Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts
	1 Introduction
	2 Background
		2.1 A Brief Introduction to UFO and OntoUML
		2.2 Ontology-Based Model Abstraction
	3 Abstracting Objects, Aspects, Events, and Their Parts
		3.1 Abstracting Objects
		3.2 Abstracting Aspects
		3.3 Abstracting Events
		3.4 Combining Abstraction Rules
	4 Towards Ontology-Based Model Abstraction 2.0
	5 Final Considerations
	References
Understanding and Modeling Prevention
	1 Introduction
	2 Background
		2.1 The Unified Foundational Ontology (UFO)
		2.2 The Simple Conditional Analysis and Its Insufficiency
	3 Unpacking the Notion of Prevention
		3.1 Lifting the Discussion to the Level of Types
		3.2 A Model for Prevention and Related Notions
	4 Prevention Applied to Risk Management
	5 Related Work
	6 Final Considerations
	References
Requirements Engineering
Requirements Engineering for Collaborative Artificial Intelligence Systems: A Literature Survey
	1 Introduction
	2 Related Work
	3 Methodology
	4 Results
		4.1 RQ1: Existing RE Challenges in CAIS
		4.2 RQ2: Relevant Requirements Types for CAIS
	5 Discussion
		5.1 Challenges
		5.2 Requirements
		5.3 Limitations of the Study
	6 Conclusion
	References
On the Current Practices for Specifying Sustainability Requirements
	1 Introduction
	2 Background
	3 Survey Design
	4 A Survey on Sustainability at IT Companies
		4.1 Participants
		4.2 Survey Questions and Results
		4.3 Threats to Validity
	5 Major Insights
	6 Related Work
	7 Conclusions
	References
Defining Key Concepts in Information Science Research: The Adoption of the Definition of Feature
	1 Introduction
	2 Research Method and Data Collection
		2.1 Concept Definition Review
		2.2 Data Collection
		2.3 Popularity of the Definitions
	3 Analysis and Categorization of the Concept Definitions
		3.1 Definition Types
		3.2 Research Topics
		3.3 Abstraction Level
		3.4 Viewpoint
	4 Concept Definition Guidelines and Conclusion
	References
Assisted-Modeling Requirements for Model-Driven Development Tools
	1 Introduction
	2 Background and Motivation
	3 Focus Groups Protocol
		3.1 Selecting Subjects
		3.2 Segmentation
		3.3 Conducting the Focus Group Sessions
	4 Results and Discussion
		4.1 RQ1: What are the Challenges Perceived by MDD Users During Modeling for Later Code Generation?
		4.2 RQ2: What are the Features of the Current Modeling Assistants that Users Like/Dislike?
		4.3 RQ3: What are the User’s Needs that are not yet Satisfied by the Current Modeling Assistants?
	5 Gathered Requirements and an Emerging Framework
	6 Threats to Validity and Limitations
	7 Conclusions and Further Work
	References
Model-Driven Engineering
Model-Driven Production of Data-Centric Infographics: An Application to the Impact Measurement Domain
	1 Introduction
	2 Research Method
	3 Conceptual Background on Infographics and on Ethical, Social and Environmental Accounting
	4 Analyses of Infographic Component Types and Tools
	5 Domain-Specific Language for Infographics
		5.1 Requirements Specification
		5.2 Xtext Grammar
		5.3 Model Interpreter and Infographic Generator in OpenESEA
	6 Validation
		6.1 Test Cases
		6.2 Comparative Experiment
		6.3 Expert Assessment
	7 Discussion of the Results
		7.1 Reflection on the Results
		7.2 Validity of the Results
	8 Conclusions and Future Research
	References
The B Method Meets MDE: Review, Progress and Future
	1 Introduction
	2 Executable DSLs: Correctness and Challenges
		2.1 Observations
		2.2 Discussion
	3 The Meeduse LWB
		3.1 Overall View
		3.2 Towards a Viable Formal Abstract Syntax
		3.3 ProB as an Execution Engine of xDSLs
	4 Applications
		4.1 FMDE for Railway Systems
		4.2 FMDE for Model Transformations
		4.3 FMDE for XML Standards
	5 Discussion and Future
	References
Enabling Content Management Systems as an Information Source in Model-Driven Projects
	1 Introduction
	2 Framework Overview
	3 The Core CMS Model
	4 The Reverse Engineering Process
		4.1 The CMSs API
		4.2 Discovery Process
		4.3 Extraction Example
	5 Model Integration and Refinement
	6 Code Generation Infrastructure
		6.1 Middleware Structure
		6.2 The Middleware API
		6.3 Middleware Usage Example
	7 Tool Support
	8 Related Work
	9 Conclusions and Future Work
	References
A Global Model-Driven Denormalization Approach for Schema Migration
	1 Introduction
	2 Related Works
	3 ModelDrivenGuide Approach
		3.1 Logical Model Refinement Rules
		3.2 Inverse Functions
		3.3 Completeness of Our Approach
	4 Smart Data Model Search Optimizer
		4.1 Complexity of the Naïve Denormalization Process
		4.2 Application of the Refinement Rules
		4.3 Heuristic of Model Generation
		4.4 Complexity of the Heuristic
	5 Experiments
		5.1 Implementation
		5.2 TPC-C
		5.3 Data Models Generation
	6 Conclusion and Future Work
	References
State Model Inference Through the GUI Using Run-Time Test Generation
	1 Introduction
	2 Related Work
	3 State Model Inference for TESTAR
	4 Using the Inferred Models for Action Selection
	5 Defining a Suitable Level of Abstraction
		5.1 Including the Predecessor State
	6 Findings, Challenges and Future Research Directions
		6.1 State Abstraction
		6.2 Applying the Inferred Models in Testing
	7 Conclusions
	References
Machine Learning Applications
Autonomous Object Detection Using a UAV Platform in the Maritime Environment
	1 Introduction
		1.1 Contribution
	2 System Design
		2.1 User Requirements
		2.2 Hardware Components
	3 System Architecture
		3.1 Object Detection - YOLOv5
		3.2 Object Tracking - Deep SORT
		3.3 CISE Compatibility
		3.4 Initial Testing
	4 Conclusions
	References
Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
	1 Introduction
	2 Related Work
	3 Proposed Architecture and Data Modelling Method
		3.1 Components and Supporting Technologies
		3.2 Data Modelling Method
	4 Industrial Demonstration Case: The Screwing Case
		4.1 Motivation and Goal
		4.2 Supporting Data and Machine Learning Models
		4.3 Data Model
		4.4 Integration and Flows
		4.5 Decision Support Dashboards
	5 Conclusions
	References
Benchmarking Conventional Outlier Detection Methods
	1 Introduction
	2 Overview of Traditional Outlier Detection Methods
		2.1 Isolation Forest
		2.2 Density-Based Algorithm for Discovering Clusters
		2.3 Local Outlier Factor
		2.4 Related Work
	3 Methodology
		3.1 Datasets
		3.2 Data Preprocessing and Model Implementation
		3.3 Hyperparameters Setting
		3.4 Model Comparison
	4 Results
	5 Discussion
	6 Limitations and Validity Threats
	7 Conclusion
	A Appendices
	References
Forum
Handling Temporal Data Imperfections in OWL 2 - Application to Collective Memory Data Entries
	1 Introduction
	2 Preliminaries and Related Work: Handling Temporal Data in Semantic Web
		2.1 Temporal Data Representation and Reasoning About
		2.2 Temporal Data Reasoning: Allen's Interval Algebra
	3 Representing Temporal Data Imperfection in OWL 2
	4 Reasoning About Uncertain Temporal Data: Extending Allen's Interval Algebra
	5 ``TimeOntoImperfection'': The Proposed Ontology
	6 Validation
		6.1 Prototype Implemented Based on ``TimeOntoImperfection''
		6.2 Application to Collective Memory Data
	7 Conclusion
	References
Integrated Approach to Assessing the Progress of Digital Transformation by Using Multiple Objective and Subjective Indicators
	1 Introduction
	2 Role and Hierarchy of CIOs, CISOs, CTOs and CDOs
	3 Indicators and Model to Assess the Digital Transformation
	4 Numerical Application
	5 Conclusions
	References
Towards Integrated Model-Driven Engineering Approach to Business Intelligence
	1 Introduction
	2 Business Intelligence Generator
	3 Data-Driven Module in BIG
	4 Demand-Driven Module in BIG
	5 Data Flow Module in BIG
	6 Design Process in BIG
	7 Discussion and Future Works
	References
Method for Evaluating Information Security Level in Organisations
	1 Introduction
	2 Related Work
	3 Creation of Security Evaluation Framework
	4 Evaluation
	References
ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context
	1 Introduction
	2 Related Work
	3 Approach
	4 Experiments
		4.1 Data Preparation
		4.2 Experimental Setup
		4.3 Results and Evaluation
	5 Threats to Validity
	6 Conclusion and Future Work
	References
A Conceptual Characterization of Fake News: A Positioning Paper
	1 Introduction
	2 Related Work
	3 Fake News into the Information Ecosystem
	4 Characterization of the Fake News Concept
		4.1 Fake News are Not Created for Fun
		4.2 Fake News Create a Distortion Between Real and False Facts
		4.3 Fake News Credibility: The Authority Notion
		4.4 Fake News Target a Precise Category of People and Use a Cognitive Process Based on Emotions
		4.5 Our Fake News Definition
	5 Conclusions: Toward a Fake News Conceptual Model
	References
Combinations of Content Representation Models for Event Detection on Social Media
	1 Introduction
	2 Related Work
	3 Clustering for Event Detection
		3.1 Description of the Framework
		3.2 Documents Representation
		3.3 Clustering
	4 Combination Method
		4.1 General Description of the Method
		4.2 Aggregation Methods
		4.3 Configurations
		4.4 Phases of the Experiments
	5 Experiments, Results and Analysis
		5.1 Experimental Setup
		5.2 Results and Analysis
	6 Conclusion
	References
Increasing Awareness and Usefulness of Open Government Data: An Empirical Analysis of Communication Methods
	1 Introduction
	2 Methodology
	3 Results
		3.1 Communication Methods Identified
		3.2 Survey Results
	4 Discussion
	5 Conclusion and Future Work
	References
Toward Digital ERP: A Literature Review
	1 Introduction
	2 Background and Conceptual Development
	3 Methods
	4 Findings
		4.1 Digital Capabilities
		4.2 Need for Digital Capabilities in ERP
		4.3 Digital Technologies in ERP
		4.4 ERP as Digital Platform
		4.5 ERP Processes Enabled by Digital
	5 Discussion
	6 Conclusion
	References
Trust Model Recommendation Driven by Application Requirements
	1 Introduction
	2 State of the Art
	3 An Approach to the Trust Computational Model Selection
		3.1 Application Requirements Modelling
		3.2 Model for Trust Requirements
		3.3 Trust Computational Model Recommendation
	4 Case Study
		4.1 Model Requirements for Carpooling
		4.2 Trust Requirements Model for Carpooling
		4.3 Trust Computational Model Recommendation
	5 Conclusion and Perspectives
	References
Predicting the State of a House Using Google Street View
	1 Introduction
	2 Related Work
	3 Methodology
	4 Experimental Results
		4.1 Prediction Accuracy
		4.2 Model Explainability
	5 Discussion and Conclusions
	References
Towards a Comprehensive BPMN Extension for Modeling IoT-Aware Processes in Business Process Models
	1 Introduction
	2 Problem Statement
	3 Existing Approaches
	4 Solution Proposal
		4.1 Case Study 1: Healthcare Process
		4.2 Case Study 2: Production Process
	5 Conclusions
	References
Team Selection Using Statistical and Graphical Approaches for Cricket Fantasy Leagues
	1 Introduction
	2 Related Work
	3 Data and Dream11
		3.1 Dataset
		3.2 Dream 11
	4 Proposed Model
		4.1 Weighted Graph
		4.2 Base Performance
		4.3 Optimization
	5 Results
	6 Conclusion and Future Work
	References
PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining
	1 Introduction
	2 Preliminaries
		2.1 NVIDIA RAPIDS
		2.2 Dataframes and File Formats for the Storage of Event Logs
	3 Implementation and Tool
	4 Assessment
	5 Related Work
	6 Conclusion
	References
Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool
	1 Introduction
	2 Motivation
	3 Approach
		3.1 Conformance Comparison
		3.2 Performance Comparison
	4 Tool
		4.1 Availability
		4.2 Components
		4.3 Maturity
	5 Conclusion
	References
Research Incentives in Academia Leading to Unethical Behavior
	1 Introduction
	2 Background
		2.1 Researcher Performance Evaluation
		2.2 Perverse Incentives
	3 Unethical Outcomes
		3.1 Publication Misconducts
		3.2 Individual Misconduct
		3.3 Group Misconducts
	4 Reflections and Recommendations
	5 Conclusions
	References
Assessing the Ethical, Social and Environmental Performance of Conferences
	1 Introduction
	2 Research Method
	3 Background Information
		3.1 The Overarching Improvement Cycle
		3.2 The Need for Stakeholder Management and Engagement
	4 ESEA Method Overview
	5 Material Topics for Conferences
	6 This Is Just the Start
	References
ANGLEr: A Next-Generation Natural Language Exploratory Framework
	1 Introduction
	2 Existing Frameworks Review
	3 ANGLEr: A Next-Generation Natural Language Exploratory Framework
		3.1 Data Model
		3.2 High-Level Architecture
		3.3 REST Interface
		3.4 Graphical User Interface
	4 Conclusion
	References
Doctoral Consortium
Towards a Roadmap for Developing Digital Work Practices: A Maturity Model Approach
	1 Research Problem and State of the Art
	2 Research Methodology
		2.1 Project 1. Systematic Literature Review and Data-Driven Analysis for Level Identification
		2.2 Project 2. Validation Study with Expert Panel and Illustrative Case Study
		2.3 Project 3. Generalization Study with a Quantitative Approach (Survey)
	3 Intermediate Results
	4 Conclusion and Future Steps
	References
Evolutionary Scriptless Testing
	1 Introduction
	2 Related Work
	3 TESTAR
	4 Towards Evolutionary Scriptless Testing
		4.1 Representation: ASRs as Individuals
		4.2 Fitness Function
		4.3 Manipulation Operators: Crossover and Mutation
	5 Expected Contributions
	6 Plan for Validation and Evaluation
	References
Scriptless Testing for Extended Reality Systems
	1 Introduction
	2 Related Work
	3 TESTAR Tool
	4 XR Research Challenges
	5 Completion Plan
		5.1 Smart Interaction Movements
		5.2 XR State Abstraction
		5.3 Navigable State Model Layer
		5.4 XR Test Oracles
		5.5 Validation Plan
	6 Conclusion
	References
Artificial Intelligence: Impacts of Explainability on Value Creation and Decision Making
	1 Introduction
	2 The Problem
	3 State of the Art
	4 Research Objectives and Methodology
	5 Theoretical Background
	6 Expected Tangible Results
	7 Conclusion
	References
Towards Empirically Validated Process Modelling Education Using a BPMN Formalism
	1 Context and Motivation
	2 State of the Art
	3 Research Objectives and Methodology
	4 Conclusions and Future Work
	References
Multi-task Learning for Automatic Event-Centric Temporal Knowledge Graph Construction
	1 Introduction
	2 Proposed End-to-End Architecture
	3 Research Questions
	4 Related Work
	5 Data Construction
	6 Scientific Contributions
	7 Conclusion
	References
Tutorials
Information Security and Risk Management: Trustworthiness and Human Interaction
	1 Tutorial Abstract
	Acknowledgements
	References
The Challenge of Collecting and Analyzing Information from Citizens and Social Media in Emergencies: The Crowd4SDG Experience and Tools
	References
Information Science Research with Machine Learning: Best Practices and Pitfalls
	1 Tutorial Abstract
	References
Author Index