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Cited by 14

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

Cybersex with human- and machine-cued partners: Gratifications, shortcomings, and tensions.

Banks, Jaime, Van Ouytsel, Joris·2020·Technology, Mind, and Behavior
DOI 10.1037/tmb0000008
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Abstract

From social-network spambots and forensic chatbots to dating simulation games, sexual communication with machines is not uncommon in contemporary culture—however, it remains effectively a black-box phenomenon. There is little empirical research examining how sexual human–machine communication (HMC-S) is experienced, whether it is impactful, or whether it may be similar or different to human–human sexual communication. Advancing our understanding of those questions is vital in understanding the potential for machine partners to foster the health and welfare benefits, as well as the potential to have negative impacts. This study takes a first step in considering experiential parity or divergence by experimentally investigating 271 people’s cybersex experience with a chat partner that was visually and textually cued as a human or a machine. Multimethod analysis suggests there may be no difference in gratifications from sex chat with ostensible machine versus human partners; however, participants seem to experience tensions between the gratifications and shortcomings of cybersex with machine-cued partners.

Overview

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Registry

Crossref · 10.1037/tmb0000008

Cites

67 of 67 references verified0 citation errors · 0 not checkable

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Citations

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Metadata

Authors
Banks, J., & Van Ouytsel, J.
ORCID
Venue
Technology, Mind, and Behavior
Publisher
American Psychological Association (APA)
Published
2020
Volume
1
Issue
1
Pages
63-75
ISSN
2689-0208
DOI
10.1037/tmb0000008
Cited by
14
References
67
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/4.0/%20https://creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 2182 d)
Funders
Research Foundation--Flanders (12J8719N)

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.