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通过使用Emotiv Insight对智能沉浸式数字应用在引发人类认知状态方面的评估。

An evaluation of intelligent and immersive digital applications in eliciting cognitive states in humans through the utilization of Emotiv Insight.

作者信息

Datta Priyanka, Kaur Amanpreet, Sassi Najla, Gulzar Yonis, Jaziri Wassim

机构信息

Chitkara University Institute of Engineering and Technology, Chitkara University, Patiala, India.

Department of Management Information Systems, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia.

出版信息

MethodsX. 2024 May 6;12:102748. doi: 10.1016/j.mex.2024.102748. eCollection 2024 Jun.

DOI:10.1016/j.mex.2024.102748
PMID:38746479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11090915/
Abstract

The amalgamation of Virtual Reality (VR) and Artificial Intelligence (AI) results in the development of many promising applications that are helpful for society in many aspects. This research was done to study the effect of immersive and non-immersive applications on user's psychological parameters. In this paper, an intelligent, interactive, and immersive digital application was designed, and the various psychological parameters of users while using the application were analyzed through the brain computer interactive device, Emotiv. The impact of these robust and immersive applications on the emotions of human beings was analyzed. According to the observations, the stress and relaxation levels are getting minimally affected, whereas the engagement levels are high for an immersive application rather than a non-immersive application. Hence, it can be concluded that immersive applications put users "in" the application environment and provide a near-realistic experience by blurring the line between the real and virtual worlds. Deeper immersion results from the increased sensation of presence, which in turn is helpful in increasing motivation and emotional investment.•This paper demonstrates the implementation of the A* algorithm within the Unity 3D Game Engine to develop an intelligent digital application, fostering interactivity and depth.•This paper explores the integration of VR technology to transform the digital application into an immersive and interactive experience, enhancing user engagement and realism.•This paper investigates the utilization of the Emotiv Insight device to analyze cognitive parameters within both non-immersive AI-based and immersive AI & VR-based applications, providing insights into user experiences.

摘要

虚拟现实(VR)与人工智能(AI)的融合催生了许多前景广阔的应用程序,这些应用程序在诸多方面对社会有所助益。本研究旨在探究沉浸式和非沉浸式应用程序对用户心理参数的影响。本文设计了一款智能、交互式且沉浸式的数字应用程序,并通过脑机交互设备Emotiv分析了用户在使用该应用程序时的各种心理参数。分析了这些强大的沉浸式应用程序对人类情绪的影响。根据观察结果,压力和放松程度受到的影响微乎其微,而沉浸式应用程序的参与度高于非沉浸式应用程序。因此,可以得出结论,沉浸式应用程序将用户“置身于”应用环境中,并通过模糊现实世界与虚拟世界之间的界限提供近乎真实的体验。更高的沉浸感源于更强的临场感,这反过来又有助于提高动机和情感投入。

• 本文展示了在Unity 3D游戏引擎中实现A*算法以开发智能数字应用程序,增强交互性和深度。

• 本文探讨了整合VR技术,将数字应用程序转变为沉浸式和交互式体验,提高用户参与度和真实感。

• 本文研究了利用Emotiv Insight设备分析基于非沉浸式人工智能和基于沉浸式人工智能与VR的应用程序中的认知参数,深入了解用户体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/d0682f438c9a/gr11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/5ba0c391a1de/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/3418c3332435/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/d0682f438c9a/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/43d821eddb30/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/70eff24fdf8e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/b38725f2f9d4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/5c2019891a4a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/4a2370bf2bb2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/c68f456ee7f1/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/96ae72afed93/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/fdd37aff9e17/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/3028feb4635e/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/5ba0c391a1de/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/3418c3332435/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b75/11090915/d0682f438c9a/gr11.jpg

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