skip to main content
10.1145/3531073.3531172acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaviConference Proceedingsconference-collections
short-paper

Humans in (Digital) Space: Representing Humans in Virtual Environments

Authors Info & Claims
Published:06 June 2022Publication History

ABSTRACT

Technology continues to pervade social and organizational life (e.g., immersive, and artificial intelligence) and our environments become increasingly virtual. In this context we examine the challenges of creating believable virtual human experiences— photo-realistic digital imitations of ourselves that can act as proxies capable of navigating complex virtual environments while demonstrating autonomous behavior. We first develop a framework for discussion, then use that to explore the state-of-the-art in the context of human-like experience, autonomous behavior, and expansive environments. Last, we consider the key research challenges that emerge from review as a call to action.

References

  1. Karim Abdel-Malek , 2007. Development of the virtual-human Santos □ùëá□ùëÄ. Digital Human Modeling. Vincent G. Duffy (Ed.). Springer, Berlin, 490-499. ISBN: 9783642028083.Google ScholarGoogle Scholar
  2. Francisco Azuola , 1994. Building anthropometry-based virtual human models. In: Proceedings of the IMAGE VII Conference, Tucson, AZ, 54.Google ScholarGoogle Scholar
  3. Norman I. Badler, 1997. Real-time virtual humans. In: Proceedings of the Fifth Pacific Conference on Computer Graphics and Applications. IEEE, 4-13.Google ScholarGoogle ScholarCross RefCross Ref
  4. Norman I. Badler, Michael J. Hollick and John P. Granieri, 1993. Real-time control of a virtual human using minimal sensors. Presence: Teleoperators and Virtual Environments, 2, 1 (Feb. 1993), 82-86. DOI: https://doi.org/10.1162/pres.1993.2.1.82.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Yoshua Bengio, Yann Lecun and Geoffrey Hinton, 2021. Deep learning for AI. Communications of the ACM, 64, 7 (Jun, 2021), 58-65. DOI: 10.1145/3448250.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. David Pal Boros and Karoly Hercegfi, 2020. Digital human modelling in research and development-a state of the art comparison of software. Human Systems Engineering and Design II. Tareq Ahram (Eds.), 543-548. ISBN: 978-3-030-27928-8.Google ScholarGoogle Scholar
  7. David Burden and Maggi Savin-Baden, 2019. Virtual humans: Today and tomorrow. London: CRC Press.Google ScholarGoogle Scholar
  8. Ergun Ekici, 2020. What's the difference between a chatbot and conversational AI? Amelia, an IPsoft Company. URL: https://youtu.be/xHAnLceQnT0 (visited on 20/06/2021).Google ScholarGoogle Scholar
  9. Fuqiang Gu , 2021. A Survey on deep learning for human activity recognition. ACM Computing Surveys, 54, 8 (Oct., 2021). DOI: https://doi.org/10.1145/3472290.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Mubbasir Kapadia , 2012. What's next? The new era of autonomous virtual humans. Motion in Games. Marcelo Kallmann and Kostas Bekris (Eds.). Springer, Berlin, 170-181. DOI: https://doi.org/10.1007/978-3-642-34710-8_16.Google ScholarGoogle Scholar
  11. Seokhwan Kim , 2021. Overview of the eighth dialog system technology challenge: DSTC8. IEEE/ACM Transactions on Audio, Speech, and Language Processing (May, 2021), 2529-2540. DOI: https://doi.org/10.1109/ TASLP.2021.3078368.Google ScholarGoogle Scholar
  12. Maria de Kleijn, Mark Siebert and Sarah Huggett, 2019. Knowledge management with digital humanities / digital scholarship. In: Artificial Intelligence: How knowledge is created, transferred and used (IFLA WLIC). Corfu, Greece. URL: http://library.ifla.org/2814/.Google ScholarGoogle Scholar
  13. Ahmed Köse, Aleksei Tepljakov and Eduard Petlenkov, 2021. Intelligent virtual environments with assessment of user experiences. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS, volume 12854, 463-373. DOI: https://doi.org/10.1007/978-3-030-87986-0_41.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. John E. Laird, 2008. Extending the Soar cognitive architecture. In: Proceedings of the 2008 Conference on Artificial General Intelligence, 171. IOS Press, 224-235.Google ScholarGoogle Scholar
  15. Hobson Lane, Cole Howard and Hannes Max Hapke, 2019. Natural language processing in action: Understanding, analyzing, and generating text with Python. Manning, Shelter Island, NY. ISBN: 9781617294631.Google ScholarGoogle Scholar
  16. Antonio Lieto , 2018. The role of cognitive architectures in general artificial intelligence. Cognitive Systems Research, 48 (May, 2018), 1-3. DOI: https://doi.org/10.1016/j.cogsys.2017.08.003.Google ScholarGoogle Scholar
  17. Nadia Magnenat-Thalmann and Daniel Thalmann., 2004. An overview of virtual humans. Handbook of Virtual Humans. N. Magnenat-Thalmann and D. Thalmann (Eds.). John Wiley & Sons, Chichester, 1-25. ISBN: 0-470-02316-3.Google ScholarGoogle Scholar
  18. John Markoff and Tom Gruber, 2019. A conversation about conversational AI. TEDxBeaconStreet (Jan., 2019). URL: https://youtu.be/yoCwsvIyp9Y (visited on 20/06/2021).Google ScholarGoogle Scholar
  19. Shervin Minaee , 2021. Deep Learning-based text classification: A comprehensive review. ACM Computing Surveys, 54, 3 (Apr., 2021). DOI: https://doi.org/10.1145/3439726.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Jinjie Ni , 2021. Recent advances in deep learning-based dialogue systems: A systematic survey. arXiv preprint (2021). URL: https://arxiv-download.xixiaoyao.cn/pdf/2105.04387.pdf (visited on 20/06/2021).Google ScholarGoogle Scholar
  21. Isabella Panella, Luca Zanotti Fragonara and Antonios Tsourdos, 2021. A deep learning cognitive architecture: Towards a unified theory of cognition. Advances in Intelligent Systems and Computing (AISC), volume 1250, 566-582. DOI: https://doi.org/10.1007/978-3-030-55180-3_42.Google ScholarGoogle ScholarCross RefCross Ref
  22. Gopika Rajendran and Ojus Thomas Lee, 2020. Virtual character animation based on data-driven motion capture using deep learning technique. In: Proceedings of the 15th International Conference on Industrial and Information Systems (ICIIS 2020). 333-338. DOI: https://doi.org/10.1109/ICIIS51140.2020. 9342693.Google ScholarGoogle ScholarCross RefCross Ref
  23. Mark Sagar, Mike Seymour and Annette Henderson, 2016. Creating connection with autonomous facial animation. Communications of the ACM, 59, 12 (Dec., 2016), 82-91. DOI: https://doi.org/10.1145/2950041.Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Mike Seymour, 2018. What happens when technology has a human face? TEDxSydnesSalon (Dec. 2018). URL: https://youtu.be/FPm3ZDKnS6A (visited on 03/06/2021).Google ScholarGoogle Scholar
  25. Chris Stokel-Walker, 2022. Welcome to the metaverse. New Scientist, 253, 3368 (Jan., 2022), 39-43. DOI: https://doi.org/10.1016/S0262-4079(22)00018-5.Google ScholarGoogle ScholarCross RefCross Ref
  26. Ben Thompson, 2021. Metaverses. Stratechery (Aug., 2021). URL: https://stratechery.com/2021/metaverses/ (visited on 04/08/2021).Google ScholarGoogle Scholar
  27. Charlie C. L. Wang , 2003. Virtual human modeling from photographs for garment industry. Computer-Aided Design, 35, 6 (May, 2003), 577-589. DOI: https://doi.org/10.1016/S0010-4485(02)00080-5.Google ScholarGoogle ScholarCross RefCross Ref
  28. Isaac Wang and Jaime Ruiz, 2021. Examining the use of nonverbal communication in virtual agents. International Journal of Human-Computer Interaction, 37, 17 (Mar 2021), 1648-1673, DOI: 10.1080/10447318.2021.1898851.Google ScholarGoogle ScholarCross RefCross Ref
  29. YouTube, 2019. How far is too far? | The age of A.I. YouTube Originals (Dec., 2019). URL: https://youtu. be/UwsrzCVZAb8 (visited on 21/06/2021).Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    AVI 2022: Proceedings of the 2022 International Conference on Advanced Visual Interfaces
    June 2022
    414 pages
    ISBN:9781450397193
    DOI:10.1145/3531073

    Copyright © 2022 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 6 June 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • short-paper
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate107of408submissions,26%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format