Using artificial intelligence for modeling of the realistic animal behaviors in a virtual island

Turan, Ertan; Çetin, Gürcan

doi:10.1016/j.csi.2019.103361

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…AI was also used to create NPCs and to build a virtual environment where NPCs could be trained [21][22][23][24]. The research also included generation techniques of virtual animals that resemble realistic behaviour [24,37]. E-commerce, marketing, and customer behaviour analytics is a domain that employs DS and AI tools and shows a significant potential value source for commercial organisations.…”

Section: Operating In the Virtual Reality/metaversementioning

confidence: 99%

The strategies for innovating with virtual reality and artificial intelligence: a literature review

Brzezinski¹,

Krzeminska²

2023

Technium

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Metaverse, virtual reality, data science, and artificial intelligence are buzzwords that attract the attention of tech enthusiasts and corporate managers. The following article is a literature review that integrates the emerging domains of virtual reality/metaverse and artificial intelligence/data science into good use cases from a commercial perspective. As the result of the analysis, we propose four strategies that commercial organizations can use to harness the synergy of these domains for successful and effective Value Innovation management.

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Section: Operating In the Virtual Reality/metaversementioning

confidence: 99%

The strategies for innovating with virtual reality and artificial intelligence: a literature review

Brzezinski¹,

Krzeminska²

2023

Technium

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“…This will lead to the development of novel IR systems that can understand and adapt to human behavior and effectively navigate complex user-system interactions. Including intelligence in XR can be helpful for different applications, such as cancer detection [5], gaming [6], advanced visualization [7], driver training [8], and medical training [9]. In addition, such IRs will, in return, support building reliable and transparent AI systems by serving as an extended learning environment for AI ensuring data diversity and representativeness.…”

Section: Background and Related Workmentioning

confidence: 99%

HINTS: Human-Centered Intelligent Realities

Sundstedt¹,

Boeva²,

Zepernick³

et al. 2023

Linköping Electronic Conference Proceedings

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During the last decade, we have witnessed a rapid development of extended reality (XR) technologies such as augmented reality (AR) and virtual reality (VR). Further, there have been tremendous advancements in artificial intelligence (AI) and machine learning (ML). These two trends will have a significant impact on future digital societies. The vision of an immersive, ubiquitous, and intelligent virtual space opens up new opportunities for creating an enhanced digital world in which the users are at the center of the development process, so-called intelligent realities (IRs). The “Human-Centered Intelligent Realities” (HINTS) profile project will develop concepts, principles, methods, algorithms, and tools for human-centered IRs, thus leading the way for future immersive, user-aware, and intelligent interactive digital environments. The HINTS project is centered around an ecosystem combining XR and communication paradigms to form novel intelligent digital systems. HINTS will provide users with new ways to understand, collaborate with, and control digital systems. These novel ways will be based on visual and data-driven platforms which enable tangible, immersive cognitive interactions within real and virtual realities. Thus, exploiting digital systems in a more efficient, effective, engaging, and resource-aware condition. Moreover, the systems will be equipped with cognitive features based on AI and ML, which allow users to engage with digital realities and data in novel forms. This paper describes the HINTS profile project and its initial results.

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“…In this combination, AI can help XR to effectively communicate and interact with users. Conferring intelligence on XR can be useful for different applications, such as cancer detection (Chen et al, 2019), gaming (Turan and Çetin, 2019), advanced visualization (Sadeghi et al, 2021), driver training (Ropelato et al, 2018), andvirtual patient andmedical training (Gutiérrez-Maldonado et al, 2008). For example, in virtual patient applications, AI has been used to create Artificial Intelligence Dialogue Systems (Talbot et al, 2012).…”

Section: Conferring Intelligence On Xrmentioning

confidence: 99%

“…For example, one study has developed an augmented reality microscope, which overlays convolutional neural networkbased information onto the real-time view of a sample, and has been used to identify prostate cancer and detect metastatic breast cancer (Chen et al, 2019). NNs have been efficiently applied to XR because of its tolerance of noisy inputs, simplicity in encoding complex learning, and robustness in the presence of missing or damaged inputs (Turan and Çetin, 2019). The FL algorithm can handle imprecise and vague problems.…”

Section: Conferring Intelligence On Xrmentioning

confidence: 99%

See 1 more Smart Citation

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

Reiners

Davahli

Karwowski

et al. 2021

Front. Virtual Real.

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Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives. However, their combination is emerging as a powerful tool for addressing prominent AI and XR challenges and opportunities for cross-development. To investigate the AI-XR combination, we mapped and analyzed published articles through a multi-stage screening strategy. We identified the main applications of the AI-XR combination, including autonomous cars, robotics, military, medical training, cancer diagnosis, entertainment, and gaming applications, advanced visualization methods, smart homes, affective computing, and driver education and training. In addition, we found that the primary motivation for developing the AI-XR applications include 1) training AI, 2) conferring intelligence on XR, and 3) interpreting XR- generated data. Finally, our results highlight the advancements and future perspectives of the AI-XR combination.

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Using artificial intelligence for modeling of the realistic animal behaviors in a virtual island

Cited by 8 publications

References 29 publications

The strategies for innovating with virtual reality and artificial intelligence: a literature review

The strategies for innovating with virtual reality and artificial intelligence: a literature review

HINTS: Human-Centered Intelligent Realities

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

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