IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/yj9a7.html
   My bibliography  Save this paper

Study on emotional AI and gen Z in the news

Author

Listed:
  • Nguyen, Minh-Hoang
  • Mindsponge, AISDL

Abstract

This feature article draws upon the science communication piece on EurekAlert, a platform managed by the American Association for the Advancement of Science (AAAS). AAAS is the publisher of the world-renowned scientific journal Science. The article introduces research results learning about the socio-cultural factors that influence the acceptance of new AI technology among Generation Z, published in the high-impact journal Technology in Society, published by Elsevier.

Suggested Citation

  • Nguyen, Minh-Hoang & Mindsponge, AISDL, 2022. "Study on emotional AI and gen Z in the news," OSF Preprints yj9a7, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:yj9a7
    DOI: 10.31219/osf.io/yj9a7
    as

    Download full text from publisher

    File URL: https://osf.io/download/6310f6d89dbf23001eeb635f/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/yj9a7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    2. Nguyen, Minh-Hoang, 2023. "Investigating urban residents' involvement in biodiversity conservation in protected areas: Empirical evidence from Vietnam," Thesis Commons z2hjv, Center for Open Science.
    3. Behn, Oliver & Leyer, Michael & Iren, Deniz, 2024. "Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings," Technology in Society, Elsevier, vol. 76(C).
    4. Deng, Shichang & Zhang, Jingjing & Lin, Zhengnan & Li, Xiangqian, 2024. "Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Mindsponge, AISDL, 2022. "Release of guide for bayesvl version 1.0," OSF Preprints rs3zb, Center for Open Science.
    6. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    7. Schiavo, Gianluca & Businaro, Stefano & Zancanaro, Massimo, 2024. "Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence," Technology in Society, Elsevier, vol. 77(C).
    8. Le, Tam-Tri & Nguyen, Minh-Hoang, 2022. "A journey of SM3D: looking back at notable studies," OSF Preprints a8pju, Center for Open Science.
    9. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:yj9a7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.