Milan Čabarkapa
Biographic Data
| ID | 8683673 |
|---|---|
| NAME | Milan Čabarkapa |
| GIVEN NAMES | Milan |
| FAMILY NAME | Čabarkapa |
| SIGNATURE | ČABARKAPA M |
| AFFILIATIONS | University of Kragujevac |
| ORCID | 0000-0002-2094-9649 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The dual impact of virtual reality
The emergence of the metaverse – envisioned as a hyperreal virtual universe enabling boundless human interaction – has the potential to revolutionize our conception of media. This transformation could alter society as we know it. This paper identifies addictive features of social media, including immersion, interactivity, real-time access, and personalization. These features are examined within the context of virtual reality through a literature …
Towards a societal AI alignment benchmark for evaluating human–machine value convergence
As general-purpose AI systems become increasingly integrated into society for tasks such as information retrieval, content generation, problem-solving, text analysis, coding, and automation, it is crucial to assess their long-term impact on humans. This research explores sentiment of Large Language Models (LLMs) and humans towards Artificial General Intelligence (AGI). The methodology adopted was a Likert scale survey. Seven LLMs, including GPT-4…
Does GPT-4 surpass human performance in linguistic pragmatics
As Large Language Models (LLMs) become increasingly integrated into everyday life as general-purpose multimodal AI systems, their capabilities to simulate human understanding are under examination. This study investigates LLMs’ ability to interpret linguistic pragmatics, which involves context and implied meanings. Using Grice’s communication principles, we evaluated both LLMs (GPT-2, GPT-3, GPT-3.5, GPT-4, and Bard) and human subjects ( N = 147)…
No prominent works on this page.
Does GPT-4 surpass human performance in linguistic pragmatics
As Large Language Models (LLMs) become increasingly integrated into everyday life as general-purpose multimodal AI systems, their capabilities to simulate human understanding are under examination. This study investigates LLMs’ ability to interpret linguistic pragmatics, which involves context and implied meanings. Using Grice’s communication principles, we evaluated both LLMs (GPT-2, GPT-3, GPT-3.5, GPT-4, and Bard) and human subjects ( N = 147)…
The dual impact of virtual reality
The emergence of the metaverse – envisioned as a hyperreal virtual universe enabling boundless human interaction – has the potential to revolutionize our conception of media. This transformation could alter society as we know it. This paper identifies addictive features of social media, including immersion, interactivity, real-time access, and personalization. These features are examined within the context of virtual reality through a literature …
Towards a societal AI alignment benchmark for evaluating human–machine value convergence
As general-purpose AI systems become increasingly integrated into society for tasks such as information retrieval, content generation, problem-solving, text analysis, coding, and automation, it is crucial to assess their long-term impact on humans. This research explores sentiment of Large Language Models (LLMs) and humans towards Artificial General Intelligence (AGI). The methodology adopted was a Likert scale survey. Seven LLMs, including GPT-4…
Philosophy (2 works) · Psychology (2 works) · Aesthetics (1 work) · Art (1 work) · Cognitive science (1 work) · Computer Science (1 work) · Digital Transformation in Industry (1 work) · Epistemology (1 work) · Ethics and Social Impacts of AI (1 work) · Explainable Artificial Intelligence (XAI (1 work)