Turing-Test Evaluation of a Mobile Haptic Virtual Reality Kissing Machine

Emma Yann Zhang; Adrian David Cheok

Turing-Test Evaluation of a Mobile Haptic Virtual Reality Kissing Machine

Emma Yann Zhang * §

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Adrian David Cheok

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University Tokyo

Turing-Test Evaluation of a Mobile Haptic Virtual Reality Kissing Machine

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Abstract

Various communication systems have been developed to integrate the haptic channel in digital communication. Future directions of such haptic technologies are moving towards realistic virtual reality applications and human-robot social interaction. With the digitisation of touch, robots equipped with touch sensors and actuators can communicate with humans on a more emotional and intimate level, such as sharing a hug or kiss just like humans do. This paper presents the design guideline, implementation and evaluations of a novel haptic kissing machine for smart phones -the Kissenger machine. The key novelties and contributions of the paper are: (i) A novel haptic kissing device for mobile phones, which uses dynamic perpendicular force stimulation to transmit realistic sensations of kissing in order to enhance intimacy and emotional connection of digital communication; (ii) Extensive evaluations of the Kissenger machine, including a lab experiment that compares mediated kissing with Kissenger to real kissing, a unique haptic Turing test that involves the first academic study of humanmachine kiss, and a field study of the effects of Kissenger on long distance relationships.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Emma Yann Zhang, Adrian David Cheok. 2021. "Turing-Test Evaluation of a Mobile Haptic Virtual Reality Kissing Machine". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 21 (GJCST Volume 21 Issue E1).

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GJCST Volume 21 Issue E1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-E Classification H.5.2

Submission ReceivedJune 11, 2021
Peer Review Double Blind
Handling Editor
Accepted July 4, 2021
Published July 15, 2021

Version of record

v1.2

Issue date

August 20, 2021

Language

English

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