Dark and Bright Sides of the Metaverse
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Item Exploring Mental Workload Across Different Levels of Immersion: Augmented Reality for Assembly Training within the Industrial Metaverse(2025-01-07) Jacquemin, Philippe; Gräf, Miriam; Mehler, Maren; Walenta, Danilo; Hendriks, Patrick; Buxmann, PeterRecently, the metaverse has gained attention as the next evolution of the internet by merging the real and virtual world, with the potential to transform work, business, and social interactions. Even though immersive technologies for the metaverse, including augmented and virtual reality, offer great potential for collaboration, training, or simulation, there are indications that this could be at the expense of mental effort. Therefore, our study examines the impact of the immersion level on mental workload and performance. We conducted a within-subject design experiment with 30 participants who engaged in a training task across different environments (real world, computer, and metaverse). Our findings indicate no significant difference in mental workload. This suggests that the metaverse can serve as a viable, cost-effective training environment, particularly for complex and high-risk activities. These results highlight the potential of metaverse in work and especially industrial applications, providing new avenues for training and process optimization.Item Metaverse Business Model Patterns and Mechanisms(2025-01-07) Weinberger, Markus; Holl, TobiasThe global Metaverse market is expected to grow significantly over the following years. Thus, research and industry investigate business opportunities and business models in the Metaverse. This study applies an expert panel method to answer the research questions about which business model patterns of the so-called Business Model Navigator benefit from the Metaverse and which underlying Metaverse business mechanisms can be identified. The results identify 18 business model patterns benefiting from the Metaverse, which relate to six underlying mechanisms. The identified patterns and mechanisms can serve future research in analyzing and categorizing Metaverse business models and foster ideation and design of Metaverse business models in corporate or start-up contexts.Item Introduction to the Minitrack on Dark and Bright Sides of the Metaverse(2025-01-07) Dincelli, Ersin; Lowry, Paul; Warkentin, MerrillItem Smoke and Mirrors: Uncovering Hidden Delegatees in Crypto Casinos(2025-01-07) Wang, Jiaxin; Mao, Qian'Ang; Sun, Hongliang; Yan, Jiaqi; Shi, YaniWith the rise of blockchain technology, crypto gambling has gained popularity for its supposed anonymity and transparency in the blockchain-based Metaverse. However, this has also brought security and compliance challenges to crypto gambling, including market manipulation, fraud, and money laundering. Like traditional casinos, crypto casinos face unfair and opaque operations, often controlled by a few anonymous shills or insiders. These hidden roles, called delegatees, are harder to identify in anonymous crypto settings. This paper systematically identifies key roles and hidden delegatees in crypto casinos to enhance regulatory oversight for cybersecurity and compliance. We propose a novel node voting method to identify key nodes and a Graph Neural Network-based approach with self-supervised learning to map remaining crypto addresses to hidden roles. Experiments on real Ethereum and TRON cases demonstrate that our method outperforms existing methods in scalability, accuracy, and interpretability, achieving higher matches with identities confirmed by judicial authorities.