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Immersive virtual reality for extending the potential of building information modeling in architecture,engineering,and construction sector:systematic review

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International Journal of Digital Earth 2022年第1期15卷 503-526页

作者： Saeed Safikhani Stephan Keller Gerald Schweiger Johanna Pirker Institute of Interactive Systems and Data Science Graz University of TechnologyGrazAustria Institute of Software Technology Graz University of TechnologyGrazAustria

The field of architecture,engineering,and construction(AEC)is continually striving to use resources efficiently and manage complex *** more than ever,there is a strong need for digital transformation in *** improvement in the accessibility of consumer-based head-mounted displays(HMD)is attracting different entertainment and research fields to immersive virtual reality(VR)*** Information Modeling(BIM)is known as a promising technology in *** full potential of BIM is not yet employed to empower this field,however,and this could be a result of some barriers still to be surmounted by BIM in both technological and management *** of these barriers is the communication and collaboration between design,construction,operation,and maintenance *** can fill this gap by providing additional capabilities for BIM which either were not available before or were not possible to employ in practical *** this paper,we systematically review recent research around the application of VR in BIM and discuss the results using the PRISMA *** discuss the most commonly used technologies,software,and evaluation methods and the various applications of VR in the reviewed ***,we extend the discussion by summarizing the potential future work in this area.

关键词： Building information modeling architecture engineering construction virtual reality BIM VR

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The Synergy of Educational Technologies and Self-regulated Learning: A Systematic Scoping Literature Review 27th

The Synergy of Educational Technologies and Self-regulated...

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27th International Conference on interactive Collaborative Learning, ICL 2024

作者： Brünner, Benedikt Burgsteiner, Harald Schön, Sandra Ebner, Martin Institute of Interactive Systems and Data Science Graz University of Technology Graz Austria Educational Technology Graz University of Technology Graz Austria Institute for Digital Media Education University of Teacher Education Graz Austria

ISBN: (纸本)9783031856488

The rapid advancement of artificial intelligence (AI) technology necessitates addressing the topic of self-regulated learning (SRL) given its potential for personalized learning experiences. Educational Technologies (EdTech) have the capacity to facilitate SRL within educational contexts, particularly in remote learning scenarios. This study explores the interplay between EdTech and SRL, highlighting their synergistic relationship. Through a systematic scoping literature review following the methodology of Peters et al., evidence from 328 records in the Scopus database was synthesized, with an analysis of 112 reports meeting the inclusion criteria published between January 2015 and February 2024. Zimmerman’s cyclical phases model emerged as the predominant SRL framework in connection with EdTech. Additionally, the identified EdTechs were categorized into eleven clusters based on shared characteristics and mapped onto Zimmerman’s SRL model to create an EdTech-SRL-Synergy-Map. Recommendations are made for future research, particularly in the secondary education sector, and the significance of SRL practices in an educational landscape permeated by AI is emphasized. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Self-supervised learning

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The Framing Loop: Do Users Repeatedly Read Similar Framed News Online?

The Framing Loop: Do Users Repeatedly Read Similar Framed Ne...

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2024 ACM International Conference on Intelligent User Interfaces Workshops, IUI-WS 2024

作者： Reiter-Haas, Markus Lex, Elisabeth Graz University of Technology Institute of Interactive Systems and Data Science Sandgasse 36/III Graz8010 Austria

It is well established in psychology that framing of content affects the behavior of people. This effect is, however, only sparsely explored in information-seeking and retrieval behavior. In the present work, we consider the diversity of consumed content and repetition patterns regarding their framing. We conduct a framing analysis in the MIcrosoft News Dataset (MIND) comprising textual content and user interaction behaviors. By extracting the frames of the item sequences, we uncover a tendency of users to consume similar framed news repeatedly when sticking to the same type of content. Consequently, framing biases are important to consider in information systems. We hope that our work inspires future research on corresponding debiasing methods. © 2024 Copyright for this paper by its authors.

关键词： Behavioral research

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Application of the ARCADIA Method on a Bulk Carrier Vessel Equipped with a Wind-assistance Device

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INCOSE International Symposium 2024年第1期34卷 24-36页

作者： Dreier, Mathias Bajzek, Matthias Hick, Hannes Michels, Nico Burchardt, Carsten Aoyama, Kazuhiro Institute of Machine Elements and Methods of Development Graz University of Technology Austria Institute Institute of Machine Elements and Methods of Development Graz University of Technology Austria Head of Digital Enterprise Siemens Industry Software GmbH Science Siemens Industry Software GmbH Department of Systems Innovation School of Engineering The University of Tokyo Japan

The maritime industry is undergoing a major transformation to achieve reduction of greenhouse gas emissions. Many new options, such as alternative propulsion systems and fuels, optimized routes, or auxiliary propulsion systems, including wind-assistance devices, need to be integrated and aligned within a wide network of different stakeholders. New ways are necessary to work with and manage the increasing complexity in the maritime industry. Model-based systems engineering approaches are a promising strategy to gain a better understanding of the as-is situation and to develop advanced solutions. This paper shows the application of the ARCADIA method for the maritime industry, with the target of integrating wind-assistance devices to vessels, using the ARCADIA modeling language and the Capella tool. Copyright © 2024 by Dreier et al. Permission granted to INCOSE to publish and use.

关键词： Marine industry

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Teaching mechanics with individual exercise assignments and automated correction

Teaching mechanics with individual exercise assignments and ...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Gfrerer, Michael H. Marussig, Benjamin Maitz, Katharina Bangerl, Mia M. Graz University of Technology Graz Austria Graz Austria Institute of Interactive Systems and Data Science Graz University of Technology Graz Austria

Solving exercise problems by yourself is a vital part of developing a mechanical understanding. Yet, most mechanics lectures have more than 200 participants, so the workload for manually creating and correcting assignments limits the number of exercises. The resulting example pool is usually much smaller than the number of participants, making verifying whether students can solve problems themselves considerably harder. At the same time, unreflected copying of tasks already solved does not foster the understanding of the subject and leads to a false self-assessment. We address these issues by providing a scalable approach for creating, distributing, and correcting exercise assignments for problems related to statics, strength of materials, dynamics, and hydrostatics. The overall concept allows us to provide individual exercise assignments for each student. A quantitative survey among students of our recent statics lecture assesses the acceptance of our teaching tool. The feedback indicates a clear added value for the lecture, which fosters self-directed and reflective learning. © 2023 The Authors. Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH.

关键词： Students

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An interactive Chess-Puzzle-Simulation for Computer Science Education 8

An Interactive Chess-Puzzle-Simulation for Computer Science ...

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8th International Conference of the Immersive Learning Research Network, iLRN 2022

作者： Holly, Michael Tscherko, Jan-Heliodor Pirker, Johanna Institute of Interactive Systems and Data Science Graz University of Technology Graz Austria

ISBN: (纸本)9781734899528

The hype around the series 'The Queen's Gambit' led to a boom in playing chess. The game enhances strategic thinking, stimulates intellectual creativity, and improves problem-solving. These skills are increasingly in demand and also essential in the field of computer science (CS). Traditional teaching approaches are often insufficient to teach CS concepts. interactive and digital experiences can be used to create an exciting, engaging, and realistic learning environment. In this paper, we explore the potential of a chess-based learning approach to increase motivation in CS. The application includes an interactive chess-puzzle simulation to teach the concept of state machines using a chessboard as an input field. We present a study with 35 students for evaluating the students' motivation, emotions, and workload with a focus on the learning experience. The results indicate a positive impact on the learning process and engage students in learning computer science. © 2022 Immersive Learning Research Network.

关键词： Students

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Value Identification in Multistakeholder Recommender systems for Humanities and Historical Research: The Case of the Digital Archive *** 2

Value Identification in Multistakeholder Recommender Systems...

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2nd Workshop on the Normative Design and Evaluation of Recommender systems, NORMalize 2024

作者： Atzenhofer-Baumgartner, Florian Geiger, Bernhard C. Vogeler, Georg Kowald, Dominik Institute of Interactive Systems and Data Science Graz University of Technology Graz Austria Department of Digital Humanities University of Graz Graz Austria Know Center Research GmbH Graz Austria Signal Processing and Speech Communication Laboratory Graz University of Technology Graz Austria

Recommender systems remain underutilized in humanities and historical research, despite their potential to enhance the discovery of cultural records. This paper offers an initial value identification of the multiple stakeholders that might be impacted by recommendations in ***, a digital archive for historical legal documents. Specifically, we discuss the diverse values and objectives of its stakeholders, such as editors, aggregators, platform owners, researchers, publishers, and funding agencies. These in-depth insights into the potentially conflicting values of stakeholder groups allow designing and adapting recommender systems to enhance their usefulness for humanities and historical research. Additionally, our findings will support deeper engagement with additional stakeholders to refine value models and evaluation metrics for recommender systems in the given domains. Our conclusions are embedded in and applicable to other digital archives and a broader cultural heritage context. © 2024 Copyright for this paper by its authors.

关键词： Embedded systems

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Concentrating on the Impact: Consequence-based Explanations in Recommender systems 10

Concentrating on the Impact: Consequence-based Explanations ...

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10th Joint Workshop on Interfaces and Human Decision Making for Recommender systems, IntRS 2023

作者： Lubos, Sebastian Tran, Thi Ngoc Trang Erdeniz, Seda Polat Mansi, Merfat El Felfernig, Alexander Wundara, Manfred Leitner, Gerhard Institute of Software Technology Graz University of Technology Inffeldgasse 16b Graz8010 Austria Magistrat Villach Rathausplatz 1 Villach9500 Austria Interactive Systems Group University of Klagenfurt Universitätsstrasse 65-67 Klagenfurt am Wörthersee9020 Austria

Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experience. Although various methods for generating explanations have been proposed, there is still room for improvement, particularly for users who lack expertise in a specific item domain. In this study, we introduce the novel concept of consequence-based explanations, a type of explanation that emphasizes the individual impact of consuming a recommended item on the user, which makes the effect of following recommendations clearer. We conducted an online user study to examine our assumption about the appreciation of consequence-based explanations and their impacts on different explanation aims in recommender systems. Our findings highlight the importance of consequence-based explanations, which were well-received by users and effectively improved user satisfaction in recommender systems. These results provide valuable insights for designing engaging explanations that can enhance the overall user experience in decision-making. © 2023 Copyright for this paper by its authors.

关键词： Decision making

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Simulation-Based Diagnosis for Cyber-Physical systems - A General Approach and Case Study on a Dual Three-Phase E-Machine 35

Simulation-Based Diagnosis for Cyber-Physical Systems - A Ge...

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35th International Conference on Principles of Diagnosis and Resilient systems, DX 2024

作者： Kaufmann, David Kozovsky, Matus Wotawa, Franz CD Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems Institute of Software Technology Graz University of Technology Austria Central European Institute of Technology Brno University of Technology Czech Republic

ISBN: (纸本)9783959773560

This paper presents a simulation-based approach for fault diagnosis in cyber-physical systems. We utilize simulation models to generate training data for machine learning classifiers to detect faults and identify the root cause. The presented processing pipeline includes simulation model validation, training data generation, data preprocessing, and the implementation of a diagnosis method. A case study with a dual three-phase e-machine highlights the results and challenges of the simulation-based diagnosis approach. The e-machine simulation model provides a complex and robust system representation, including the capability to inject inter-turn short-circuit faults. The introduced validation procedures of the simulation model revealed limitations in signal similarity and distinguishability compared to real system behavior. Based on the discovered limitations, the overall best results are achieved by applying an Autoencoder model for anomaly detection, followed by a Random Forest classifier to identify the specific anomalies. Further, the focus is on identifying the affected e-machine phase rather than the exact number of faulty winding turns. The paper shows the challenges when applying a simulation-based diagnosis approach to time-series data and underlines the required analysis of simulation models. In addition, the flexible adaption in the diagnosis strategies enhances the efficient utilization of cyber-physical system models in fault diagnosis and root cause identification. © David Kaufmann, Matus Kozovsky, and Franz Wotawa.

关键词： Decision trees

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Markov Aggregation for Speeding Up Agent-Based Movement Simulations 22

Markov Aggregation for Speeding Up Agent-Based Movement Simu...

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22nd International Conference on Autonomous Agents and Multiagent systems, AAMAS 2023

作者： Geiger, Bernhard C. Jahani, Alireza Hussain, Hussain Groen, Derek Know-Center GmbH Graz Austria Brunel University London Uxbridge United Kingdom Institute for Interactive Systems and Data Science Graz University of Technology Graz Austria

In this work, we investigate Markov aggregation for agent-based models (ABMs). Specifically, if the ABM models agent movements on a graph, if its ruleset satisfies certain assumptions, and if the aim is to simulate aggregate statistics such as vertex populations, then the ABM can be replaced by a Markov chain on a comparably small state space. This equivalence between a function of the ABM and a smaller Markov chain allows to reduce the computational complexity of the agent-based simulation from being linear in the number of agents, to being constant in the number of agents and polynomial in the number of locations. We instantiate our theory for a recent ABM for forced migration (Flee). We show that, even though the rulesets of Flee violate some of our necessary assumptions, the aggregated Markov chain-based model, MarkovFlee, achieves comparable accuracy at substantially reduced computational cost. Thus, MarkovFlee can help NGOs and policy makers forecast forced migration in certain conflict scenarios in a cost-effective manner, contributing to fast and efficient delivery of humanitarian relief. © 2023 International Foundation for Autonomous Agents and Multiagent systems (***). All rights reserved.

关键词： Autonomous agents

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