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Editorial
. 2023 Jun 27:6:1234920.
doi: 10.3389/frai.2023.1234920. eCollection 2023.

Editorial: Multimodal communication and multimodal computing

Alexander Mehler  1 , Andy Lücking  1   2 , Tiansi Dong  3
Affiliations
Editorial

Editorial: Multimodal communication and multimodal computing

Alexander Mehler et al. Front Artif Intell. .
No abstract available

Keywords: human-object interactions (HOIs); multimodal learning and analytics; text-image analysis; unified methodology; visual-linguistic interaction.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Multimodal communication and multimodal computing

References

    1. Alfred K. L., Connolly A. C., Cetron J. S., Kraemer D. J. M. (2020). Mental models use common neural spatial structure for spatial and abstract content. Commun. Biol. 3, 17. 10.1038/s42003-019-0740-8 - DOI - PMC - PubMed
    1. Bechtel W., Abrahamsen A. (2002). Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks. Hong Kong: Graphicraft Ltd.
    1. Bruni E., Tran N.-K., Baroni M. (2014). Multimodal distributional semantics. J. Artif. Intell. Res. 49, 1–47. 10.1613/jair.4135 - DOI
    1. Chalmers D. J. (2022). Reality+: Virtual Worlds and the Problems of Philosophy. Allen Lane.
    1. Chao Y.-W., Liu Y., Liu X., Zeng H., Deng J. (2018). “Learning to detect human-object interactions,” in 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 381–389. 10.1109/WACV.2018.00048 - DOI

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