book

Human-Centered Metaverse

by Chang S. Nam, Donggil Song, Heejin Jeong

November 2024

Intermediate to advanced

400 pages

8h 57m

English

Morgan Kaufmann

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AbstractKeywords1 Introduction2 Origins and development of virtual worlds3 A short history of the internet and social media4 The emerging Metaverse: Definitions and research before 20215 Modern history: Post-20216 ConclusionsReferences

AbstractKeywords1 Retrospect: Experimental Metaverse1.1 Metaverse1.2 AI-generated content (AIGC)2 Content singularity2.1 Harbour3 Human-Metaverse interaction4 Toward AIGM framework5 Concluding remarksReferences
AbstractKeywords1 Introduction2 Literature review3 Preliminaries3.1 Metaverse3.2 Metaverse avatar4 The proposed avatar facial emotional recognition (AFER)4.1 Dataset description phase4.2 Avatar face detection4.3 Classification of avatar emotional phase5 The measures of performance evaluation phase6 Experiments and discussion6.1 Experiments of avatar face detection6.2 Experiments of avatar emotional recognition classification6.3 Discussion7 Conclusion and future workReferences
AbstractKeywords1 Introduction to intelligent virtual characters and the future2 Chatbots and LLMs as the next phase of human interface for the Internet3 AI, virtual characters in science fiction4 Chatbots, LLMs, and virtual characters: A quick look back5 An architecture for virtual characters5.1 Smart NPCs, generative agents, and AI societies6 AGI and consciousness7 AGI via virtual characters and the Metaverse8 Projecting to the future: Not just AGI but Metaverse-centric human interface9 Science fiction fears of superintelligenceReferences
AbstractKeywords1 Delineating boundaries of the Metaverse2 Application cases: Metaverse for human learning and performance improvement2.1 K-12 education2.2 Higher education2.3 Professional and corporate training3 Why Metaverse for human learning and performance?4 AI engineering in the Metaverse for human learning and performance4.1 An example case of AI engineering in the Metaverse: Howdy SMILE5 Future directions and conclusionReferences
AbstractKeywords1 Introduction1.1 Metaverse applications in South Korean higher education1.2 Effectiveness studies on South Korean Metaverse platforms1.3 The case of Metaversity platform2 Methods2.1 Research procedure2.2 Instrument2.3 Selection of experts2.4 Expert evaluation (round 1)2.5 Iterative rounds2.6 Data analysis3 Results3.1 Educational usefulness3.2 System usability3.3 Feelings4 Discussion5 ConclusionReferences
AbstractKeywords1 Introduction2 The development of the Metaverse for science3 The application of Metaverse to education4 Trial of creative education using Second Life5 Evaluation methods for Metaverse utilization6 New Metaverse applications using goggles and cardboards7 Future scopeReferences
AbstractKeywords1 From Internet to Metaverse1.1 From ARPANET to dot-com bubble1.2 Rebirth1.3 Hidden (r)evolution1.4 Openness is no accident1.5 How is this related to Metaverse?2 Search for new services2.1 Fortnite: From battle royale to concert2.2 Minecraft, Roblox and animal crossing2.3 SummaryReferences
AbstractKeywords1 Introduction2 Elements of virtual fashion3 Historical background of Metaverse4 Key technologies of Metaverse4.1 Hardware shaping the Metaverse4.2 Artificial intelligence4.3 Blockchain technology5 Virtual avatar and virtual clothing for Metaverse6 Fashion business opportunity in Metaverse6.1 Opportunities for designers6.2 Opportunity for fashion manufacturers and suppliers6.3 Opportunity for brands and retailers6.4 Opportunity for consumers7 ConclusionReferences
AbstractKeywords1 Operator support2 Simulation3 Robotics manipulation4 Challenges of Metaverse in robotics5 Future and conclusionReferences
AbstractKeywords1 Introduction2 Agent-based modeling for healthcare in the Metaverse2.1 Agent-based modeling in healthcare2.2 Large-scale agent-based modeling in the Metaverse2.3 Human digital twins as the core component of ABM in the Metaverse3 The challenges3.1 Challenges with scaling up ABM3.2 Challenges with human digital twins in the Metaverse4 Methods for identifying improvement areas in HDT cognitive systems5 Results6 Discussions6.1 Cybonto for evaluating large language models’ cognitive computing capabilities6.2 Cybonto for modern cognitive warfare simulations6.3 Limitations6.4 Ethics7 ConclusionReferences
AbstractKeywords1 Introduction2 Terms and definitions3 Concepts4 Metaverse service areas and use cases5 Requirements for Metaverse services6 JTC 1 technology standards for the Metaverse6.1 Virtual world6.2 Humanoid avatar6.3 VR/AR/MR-based information processing6.4 Knowledge and semantic information processing6.5 Cyber security, identity, and authorization for the Metaverse6.6 AI Information processing for the Metaverse6.7 ICT integration technologies within industry areas7 Metaverse governance for safety and security8 Concluding remarksReferences
AbstractKeywords1 Introduction2 Types and cases of educational Metaverse2.1 Lecture type2.2 Experience type2.3 Discussion type2.4 Problem-solving type2.5 Development type3 Methodology4 Guidelines for educational uses of Metaverse4.1 Understanding and exploration of educational Metaverse4.2 Preparative considerations for educational Metaverse4.3 Implementation of educational Metaverse5 ConclusionReferences
AbstractKeywords1 Overview2 Four scenarios of Metaverses: Virtual worlds, mirror worlds, lifelogging, and augmented reality2.1 Virtual worlds2.2 Mirror worlds2.3 Lifelogging2.4 Augmented reality2.5 Combining multiple scenarios3 Developing human-centric metrics for interpersonal Metaverse3.1 Immersiveness in Metaverse3.2 Usability in Metaverse3.3 Social capability in Metaverse3.4 Creative capability in Metaverse3.5 Perceived privacy & security in Metaverse4 ConclusionReferences

Content preview from Human-Centered Metaverse

Chapter 3 Avatar facial emotion recognition based on machine learning techniques

Mohammed M. Ahmed^a^,^b
Ashraf Darwish^b^,^c
Aboul Ella Hassanien^b^,^d
^a Faculty of Computers and Artificial Intelligence, University of Sadat City, Sadat City, Egypt
^b Scientific Research School of Egypt (SRSEG), Cairo, Egypt
^c Faculty of Science, Helwan University, Cairo, Egypt
^d Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt

Abstract

Nowadays, avatar face detection and emotion recognition can be accomplished using a wide range of techniques and a wide variety of features. The best one of these facial characteristics is detecting emotions in avatars has many applications, including studying avatar facial emotions, ...