Author:
György Persa Széchenyi István Egyetem, Multidiszciplináris Műszaki Tudományi Doktori Iskola Győr Magyarország; Széchenyi István University, Doctoral School of Multidisciplinary Engineering Sciences Győr Hungary
MISTEMS Innovációs és Szolgáltató Kft. Győr Magyarország; MISTEMS Innovation and Services Ltd. Győr Hungary

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https://orcid.org/0009-0008-5409-5451
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Összefoglalás.

A tanulmány az avatárok új típusát, az absztrakt aggregált avatárokat mutatja be, amelyek a kognitív hűség növelésére összpontosítanak. Ezek az avatárok nem antropomorf formákat használnak, hanem egyszerű, változó formákat és színeket, amelyek lehetővé teszik a rendszer általános állapotának közvetítését. A MaxWhere VR keretrendszert használva a tanulmányban bemutatok egy prototípus implementációt, amely érzelmeket megjelenítő absztrakt megjelenítési módot alkalmaz. Az avatár kifejezőkészségének vizsgálatára egy kísérleti keretrendszert ismertetek, amely lehetővé teszi a felhasználói interakciók és azok hatásának értékelését a virtuális munkakörnyezetben. Ezt követően elemzem az absztrakt aggregált avatárok lehetséges hozzájárulását a VR-alkalmazások informatikai biztonságához. Ezek az avatárok anonimitást biztosítanak, csökkentik az adatexponálást, és előrelépést jelenthetnek az adatgyűjtés és elemzés területén.

Summary.

This study summarizes the concept of ‘abstract aggregated avatars’ as a novel approach to enhance user experience. Visually, these avatars, unlike anthropomorphic or zoomorphic ones, are based on abstract, low-level visual languages using dynamic shapes and colors. Functionally, they can exhibit a collective, aggregated representation of pertinent system data, aggregating user interactions and other significant events within a virtual space that are relevant to the application. They can facilitate a more generalized examination of VR environments, often necessary or more effective than realistic representations.

A prototype implementation of an aggregated avatar is created using the MaxWhere VR framework, an innovative 3D virtual reality platform. This framework allows users to navigate interactive 3D spaces, enhancing user experience and work efficiency. The reference implementation uses ’emotional display’ as visual representation. It can express a range of emotional states through a color-changing sphere and cube-like structure, changing size, color, transparency, and rotation speed. I employ the valence-arousal model as an intermediate representation layer to map emotional states, using data collected from MaxWhere’s virtual space to calculate these values. Data from the virtual environment reflects the recent, aggregated user interactions and virtual space utilization, translating intense and balanced usage into positive emotional values and monotonous or superficial usage into boredom or irritation.

I examine the avatar’s expressiveness through an experimental framework. It uses the same MaxWhere component which manages the look and working logic of aggregated avatar. Logging functions in the component track events and emotional values, allowing for a detailed analysis of the avatar’s effectiveness. We can create video sequences using the logging capabilities of the framework and conduct a survey to measure how correctly participants can match user interactions with avatar behaviors. The result can be used to design expressive aggregated avatars based on quantitative feedback.

Finally, the study addresses how abstract aggregated avatars can contribute to the information security of VR applications. These avatars help protect user identity, reduce public data exposure, minimize the attack surface, aid in detecting abnormal behaviors, and enhance data analysis and security strategies.

I conclude that these avatars offer new, innovative solutions for workplace environments while improving the security of virtual spaces.

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    Horváth, I., Csapo, A., Berki, B., & Sudár, A. (2023) Definition, Background and Research Perspectives Behind ‘Cognitive Aspects of Virtual Reality’ (cVR). Infocommunications Journal, Vol. 15. pp. 9–14. https://doi.org/10.36244/ICJ.2023.SI-IODCR.2

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    Horváth, I., & Sudár, A. (2018) Factors Contributing to the Enhanced Performance of the MaxWhere 3D VR Platform in the Distribution of Digital Information. Acta Polytechnica Hungarica, Vol. 15. No. 3. pp. 149–173. https://doi.org/10.12700/APH.15.3.2018.3.9

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    Jo, D., Kim, K., Welch, G. F., & Jeon, W. (2017) The impact of avatar-owner visual similarity on body ownership in immersive virtual reality. Conference: the 23rd ACM Symposium, VRST ’17, November 2017, Gothenburg, Sweden, pp. 1–2. https://doi.org/10.1145/3139131.3141214

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    Korcsok, B., Konok, V., Persa, Gy., Faragó, T., Niitsuma, M., Miklósi, Á., Korondi, P., Baranyi, P., & Gácsi, M. (2018) Biologically Inspired Emotional Expressions for Artificial Agents. Frontiers in Psychology, Vol. 9. https://doi.org/10.3389/fpsyg.2018.01191

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    Lampert, B., Pongracz A., Sipos J., Vehrer A., Horvath I. (2018) MaxWhere VR-learning improves effectiveness over clasiccal tools of e-learning. Acta Polytechnica Hungarica, Vol. 15. No. 3. pp. 125–147.

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    Latoschik, M., Roth, D., Gall, D., & Achenbach, J. (2017) The effect of avatar realism in immersive social virtual realities. Conference: the 23rd ACM Symposium, VRST ’17, November 8–10, 2017, Gothenburg, Sweden, pp. 1–10. https://doi.org/10.1145/3139131.3139156

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  • 23

    Persa, Gy., & Csapo, A. (2021) A Framework for the Design and Evaluation of Aggregated Avatars in VR Workspaces. 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2021). pp. 1023–1028.

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Editor-in-Chief:

Founding Editor-in-Chief:

  • Tamás NÉMETH

Managing Editor:

  • István SABJANICS (Ministry of Interior, Budapest, Hungary)

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  • Attila ASZÓDI (Budapest University of Technology and Economics)
  • Zoltán BIRKNER (University of Pannonia)
  • Valéria CSÉPE (Research Centre for Natural Sciences, Brain Imaging Centre)
  • Gergely DELI (University of Public Service)
  • Tamás DEZSŐ (Migration Research Institute)
  • Imre DOBÁK (University of Public Service)
  • Marcell Gyula GÁSPÁR (University of Miskolc)
  • József HALLER (University of Public Service)
  • Charaf HASSAN (Budapest University of Technology and Economics)
  • Zoltán GYŐRI (Hungaricum Committee)
  • János JÓZSA (Budapest University of Technology and Economics)
  • András KOLTAY (National Media and Infocommunications Authority)
  • Gábor KOVÁCS (University of Public Service)
  • Levente KOVÁCS buda University)
  • Melinda KOVÁCS (Hungarian University of Agriculture and Life Sciences (MATE))
  • Miklós MARÓTH (Avicenna Institue of Middle Eastern Studies )
  • Judit MÓGOR (Ministry of Interior National Directorate General for Disaster Management)
  • József PALLO (University of Public Service)
  • István SABJANICS (Ministry of Interior)
  • Péter SZABÓ (Hungarian University of Agriculture and Life Sciences (MATE))
  • Miklós SZÓCSKA (Semmelweis University)

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Scientia et Securitas
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