Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Sex with Robots for Love Free Encounters

Hall, Lynne (2017) Sex with Robots for Love Free Encounters. In: International Conference on Love and Sex with Robots LSR 2016: Love and Sex with Robots. Lecture notes in computer science (10237). Springer, pp. 128-136. ISBN 9783319577371

Item Type: Book Section

Abstract

This paper considers sex with robots for love free encounters within the context of pornographic experiences. Leisure sex and pornography are briefly outlined, along with the potential of the market. Limited research on both the user experience of pornography and the physical functionality of sex robots is highlighted. The physical embodiment of sex robots is considered, questioning whether we need human-like robots or something else entirely. Technological advances for pornography and their relevance for sex robots are explored examining the potential offered through the integration of Virtual Reality, teledildonics, soft and wearable robots. The potential of categorising sex robots as fantasy hardware is considered seeking to provide a palatable terminology. This paper concludes that researchers need to engage with the Porn Sector in creating innovative sexual experiences with robots, aiming to create a new type of sexual experience, rather than replicating humans as seen in most science fiction.

[img]
Preview
PDF
Hall - Sex with Robots for Love Free Encounters.pdf - Accepted Version

Download (169kB) | Preview

More Information

Related URLs:
Depositing User: Lynne Hall

Identifiers

Item ID: 6964
Identification Number: https://doi.org/10.1007/978-3-319-57738-8_12
ISBN: 9783319577371
URI: http://sure.sunderland.ac.uk/id/eprint/6964
Official URL: https://link.springer.com/chapter/10.1007/978-3-31...

Users with ORCIDS

ORCID for Lynne Hall: ORCID iD orcid.org/0000-0001-5090-1980

Catalogue record

Date Deposited: 27 Feb 2017 14:54
Last Modified: 30 Sep 2020 11:00

Contributors

Author: Lynne Hall ORCID iD

University Divisions

Faculty of Technology
Faculty of Technology > FOT Executive

Subjects

Computing > Artificial Intelligence
Computing > Human-Computer Interaction

Actions (login required)

View Item View Item