Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download file Download BibTeX

Title

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

Authors

Year of publication

2019

Published in

Foundations of Computing and Decision Sciences

Journal year: 2019 | Journal volume: vol. 44 | Journal number: no. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • Uncanny Valley Hypothesis
  • human-likeness
  • computer-generated models
  • attitude towards robots
  • Belief in Human Nature Uniqueness (BHNU)
  • Negative Attitudes toward Robots that Display Human Traits (NARHT)
  • HRI
  • social robotics
Abstract

EN The main aim of the presented study was to check whether the well-established measures concerning the attitude towards humanoid robots are good predictors for the uncanny valley effect. We present a study in which 12 computer rendered humanoid models were presented to our subjects. Their declared comfort level was cross-referenced with the Belief in Human Nature Uniqueness (BHNU) and the Negative Attitudes toward Robots that Display Human Traits (NARHT) scales. Subsequently, there was no evidence of a statistical significance between these scales and the existence of the uncanny valley phenomenon. However, correlations between expected stress level while human-robot interaction and both BHNU, as well as NARHT scales, were found. The study covered also the evaluation of the perceived robots’ characteristic and the emotional response to them.

Pages (from - to)

101 - 119

DOI

10.2478/fcds-2019-0006

URL

https://www.sciendo.com/article/10.2478/fcds-2019-0006

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

Download file

Access level to full text

public

Ministry points / journal

20

Ministry points / journal in years 2017-2021

40

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.