Love and Sex with Robots

Third International Conference, LSR 2017, London, UK, December 19-20, 2017, Revised Selected Papers

  • Adrian David Cheok
  • David Levy
Conference proceedings LSR 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10715)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10715)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Oliver Bendel
    Pages 1-11
  3. Nicola Liberati
    Pages 12-25
  4. Hoshang Kolivand, Abdoulvahab Ehsani Rad, David Tully
    Pages 26-36
  5. Sophie Wennerscheid
    Pages 37-50
  6. Thomas Beschorner, Florian Krause
    Pages 128-137
  7. Chamari Edirisinghe, Adrian David Cheok, Nosiba Khougali
    Pages 138-157
  8. Gabriele Trovato, Cesar Lucho, Friederike Eyssel, Jasmin Bernotat
    Pages 158-168
  9. Back Matter
    Pages 169-169

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third International Conference on Love and Sex with Robots, LSR 2017, held in December 2017, in London, UK.

The 12 revised papers presented together with 2 keynotes were carefully reviewed and selected from a total of 83 submissions.
One of the biggest challenges of the Love and Sex with Robots conference is to engage a wider scientific community in the discussions of the multifaceted topic, which has only recently established itself as an academic research topic within, but not limited to, the disciplines of artificial intelligence, human-computer interaction, robotics, biomedical science and robot ethics etc.

 

Keywords

affective approaches artificial intelligence augmented reality clone robots entertainment robots gender approaches human-computer interaction (HCI) humanoid robots intelligent robots mobile computing psychological approaches robot emotions robotics robots signal processing sociological approaches teledildonics virtual reality

Editors and affiliations

  1. 1.City, University of LondonLondonUnited Kingdom
  2. 2.Retro Computers LtdLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-76369-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-76368-2
  • Online ISBN 978-3-319-76369-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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