Abstract
This paper presents the design, development and initial evaluation of an intelligent virtual museum prototype based on a new type of Cyber-Physical-Social Eco-System (CPSeS) framework aiming to merge the real with virtual worlds interchangeably using AI, XR and Robots. Whereas virtual environments have become prominent tools in many domains, offering shared and interactive virtual worlds, the proposed prototype incorporates multi-user and interactive functionalities together with a new agent, namely, a physical robot and its digital twin. The physical robot is located and acts in a real environment whilst its avatar (further referred to as its digital twin) lives in the virtual world. The users are able to see and explore both worlds simultaneously through the ‘eyes’ of the robot. Together with multi-user infrastructure and communication capabilities, the environment also involves additional agents guiding the user in the virtual world, and an educational game, aiming at developing a CPSeS capable of blending the real with digital worlds, and to be influenced by its users, real and artificial agents and elements. The user-based qualitative evaluation of the proposed system was favourable but also constructive providing the research team with valuable observations on its performance.
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Daugherty, P., Carrel-Billiard, M.M.B.: Accenture Technology Vision (2018). https://www.accenture.com/t00010101T000000Z__w__/nz-en/_acnmedia/Accenture/next-gen-7/tech-vision-2018/pdf/Accenture-TechVision-2018-Tech-Trends-Report.pdf
Valin, J.: Humans still needed: an analysis of skills and tools in public relations. Chartered Ins. Public Relat. 23, 1–12 (2018)
Luck, M., Aylett, R.: Applying artificial intelligence to virtual reality: intelligent virtual environments. Appl. Artif. Intell. 14(1), 3–32 (2000)
Williams, T., Szafir, D., Chakraborti, T., Amor, H.B.: Virtual, augmented, and mixed reality for human-robot interaction. In: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, IL, USA pp 403–404. Association for Computing Machinery (2018)
Nisiotis, L., Alboul, L., Beer, M.: A prototype that fuses virtual reality, robots, and social networks to create a new cyber–physical–social eco-society system for cultural heritage. Sustainability 12(2), 645 (2020)
Ghosh, A., Chakraborty, D., Law, A.: Artificial intelligence in internet of things. CAAI Trans. Intell. Technol. 3(4), 208–218 (2018)
de Saint Laurent, C.: In defence of machine learning: debunking the myths of artificial intelligence. Eur. J. Psychol. 14(4), 734–747 (2018)
Nielsen, M.A.: Neural Networks and Deep Learning, Vol. 25. Determination press, San Francisco (2015)
Contreras, S., Rosa, F.D.L.: Using deep learning for exploration and recognition of objects based on images. In: 2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR), pp 1–6 (2016)
Jain, A., Kulkarni, G., Shah, V.: Natural language processing. Int. J. Comput. Sci. Eng. 6(1), 161–167 (2018)
Remian, D.: Augmenting education: ethical considerations for incorporating artificial intelligence in education. Instr. Des. Capstones Collect. 52, 1–54 (2019)
Slater, M.: Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philos. Trans. R. Soc B: Biol. Sci. 364(1535), 3549–3557 (2009)
Handa, M., Aul, G., Bajaj, S.: Immersive technology–uses, challenges and opportunities. Int. J. Comput. Bus. Res. 6(2), 1–11 (2012)
OxfordDictionary: Virtual Reality. https://www.lexico.com/definition/virtual_reality.
Klopfer, E., Squire, K.: Environmental detectives—the development of an augmented reality platform for environmental simulations. Educ. Tech. Res. Dev. 56(2), 203–228 (2008)
Cawood, S., Fiala, M.: Augmented reality: a practical guide (2008)
Milgram, P., Colquhoun, H.: A taxonomy of real and virtual world display integration. Mixed reality: Merg. real virtual worlds 1(1999), 1–26 (1999)
Alizadehsalehi, S., Hadavi, A., Huang, J.C.: From BIM to extended reality in AEC industry. Autom. Constr. 116, 103254 (2020)
IEEE Digital Reality Initiative: Digital Transformation. https://digitalreality.ieee.org/images/files/pdf/DRI_White_Paper_-_Digital_Transformation_-_Final_25March21.pdf.
Garcia, T.J.L., Rodriguez-Aguilar, R.M., Alvarez-Cedillo, J.A., Alvarez-Sanchez, T.: Development of software architecture for a 3d virtual environment with the incorporation of a reactive intelligent agent. J. Theor. Appl. Inf. Technol. 97(17), 4589–4599 (2019)
Lepouras, G., Vassilakis, C.: Adaptive virtual reality museums on the web in adaptable and adaptive hypermedia systems. In: Sherry, Y.C., George, D.M. (Eds.) IGI Global, Hershey (2005)
de Aquino, M.S., de Souza, F.d.F.: Adaptive virtual environments: the role of intelligent agents In: Practical Applications of Agent-Based Technology, pp. 87–110. INTECH Open Science (2012)
Kiourt, C., Pavlidis, G., Koutsoudis, A., Kalles, D.: Multi-agents based virtual environments for cultural heritage. In: 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT), pp 1–6 (2017)
Osório, F.S., Musse, S.R., Santos, C.D., Heinen, F., Braun, A., Silva, A.D.: Intelligent virtual reality environments (IVRE): Principles, implementation, interaction, examples and practical applications. Virtual Concept (Proceedings-Tutorials) 1, 1–64 (2005)
Russell, S., Norvig, P.: Artificial intelligence: a modern approach (2002)
Duguleană, M., Briciu, V.-A., Duduman, I.-A., Machidon, O.M.: A virtual assistant for natural interactions in museums. Sustainability 12(17), 6958 (2020)
Petrović, V.M.: Artificial intelligence and virtual worlds–toward human-level AI agents. IEEE Access 6, 39976–39988 (2018)
Lee, J., Bagheri, B., Kao, H.-A.: Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. In: International Proceeding of International Conference on Industrial Informatics (INDIN). pp 1–6 (2014)
Krogh, B.H.: Cyber physical systems: the need for new models and design paradigms. Presentation Report (2008)
Monostori, L.: Cyber-physical production systems: roots, expectations and R&D challenges. Procedia CIRP 17, 9–13 (2014)
Xiong, G., et al.: Cyber-physical-social system in intelligent transportation. IEEE/CAA J. Automatica Sinica 2(3), 320–333 (2015)
Naudet, Y., Yilma, B.A., Panetto, H.: Personalisation in cyber physical and social systems: the case of recommendations in cultural heritage spaces. In: 2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), pp. 75–79 (2018)
Murakami, K.J.: CPSS (cyber-physical-social system) initiative-beyond CPS (cyber-physical system) for a better future. In: Keynote Speech, the First Japan-Egypt Conference on Electronics Communication and Computers JEC-ECC (2012)
Nisiotis, L., Alboul, L., Beer, M.: Virtual museums as a new type of cyber-physical-social system. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2019. LNCS, vol. 11614, pp. 256–263. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-25999-0_22
Alboul, L., Beer, M., Nisiotis, L.: Robotics and virtual reality gaming for cultural heritage preservation. In: Resilience and Sustainability of Cities in Hazardous Environments, Napoli, pp. 335-345 (2019)
Alboul, L., Beer, M., Nisiotis, L.: Merging realities in space and time: towards a new cyber-physical eco-society. In: Dimitrova, M., Wagatsuma, H. (Eds.) Cyber-Physical Systems for Social Applications, IGI Global, Pennsylvania (2019). https://doi.org/10.4018/978-1-5225-7879-6
Nisiotis, L., Alboul, L.: Work-in-progress—converging virtual reality, robots, and social networks to support immersive learning. In: 2020 6th International Conference of the Immersive Learning Research Network (iLRN), pp. 308–311 (2020)
Nisiotis, L., Alboul, L.: Work-in-progress—an intelligent immersive learning system using AI, XR and robots. In: 7th International Conference of the Immersive Learning Research Network (iLRN), (2021)
Valchkova, N.F., Zahariev, R.Z.: Optimization of model operator for service robot, intended to service persons with disability. IFAC-PapersOnLine 52(25), 174–179 (2019)
Papakostas, G., Sidiropoulos, G., Bella, M., Kaburlasos, V.: Social robots in special education: current status and future challenges. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018, 1P1-A15. The Japan Society of Mechanical Engineers (2018)
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., Tanaka, F.: Social robots for education: a review. Sci. Rob. 3(21), eaat5954 (2018)
Marques, M.M., et al.: Use of multi-domain robots in search and rescue operations—contributions of the ICARUS team to the euRathlon 2015 challenge. In: OCEANS 2016-Shanghai, pp 1–7 (2016)
Goswami, A., Vadakkepat, P.: Humanoid Robotics: A Reference. Springer, Dordrecht (2019)
Robla-Gómez, S., Becerra, V.M., Llata, J.R., González-Sarabia, E., Torre-Ferrero, C., Pérez-Oria, J.: Working together: a review on safe human-robot collaboration in industrial environments. IEEE Access 5, 26754–26773 (2017)
FetchRobotics: Fetch Robotics. https://fetchrobotics.com/.
Unity3D: Unity 3D Game Engine Software. https://unity3d.com/.
GoogleVR: Google AR/VR. https://arvr.google.com/.
AndroidSDK: Android Studio SDK. https://developer.android.com/studio.
MrCardboard: Mr Cardboard HMD. https://mrcardboard.eu/.
PhotonEngine: Photon Engine. https://www.photonengine.com/pun.
PhotonEngine: Photon Engine Voice. https://www.photonengine.com/en/voice.
ROS: Robotic Operating System http://wiki.ros.org/.
RosBridge: Rosbridge Library. http://wiki.ros.org/rosbridge_library.
Ros#: ROS#. https://github.com/siemens/ros-sharp.
Hajjaj, S.S.H., Sahari, K.S.M.: Establishing remote networks for ROS applications via port forwarding: a detailed tutorial. Int. J. Adv. Rob. Syst. 14(3), 1–13 (2017)
Acknowledgements
The authors would like to thank the Centre for Automation and Robotics Research (CARR), Industry and Innovation Research Institute at Sheffield Hallam University (UK), and the School of Sciences at the University of Central Lancashire, Cyprus Campus, for providing the equipment and the working environment. Also, special thanks to the students: Robin Ghys, Jean-Alexis Hermel, Léo Dedeine, Grzegorz Szargot who have contributed to the development of the system, and to Dr Martin Beer for useful discussions. This paper is in memory of our dear friend, colleague and collaborator Professor Jacques Penders.
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Nisiotis, L., Alboul, L. (2021). Initial Evaluation of an Intelligent Virtual Museum Prototype Powered by AI, XR and Robots. In: De Paolis, L.T., Arpaia, P., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2021. Lecture Notes in Computer Science(), vol 12980. Springer, Cham. https://doi.org/10.1007/978-3-030-87595-4_21
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