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Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

Łupokowski Paweł, Gieszewska Marta

Foundations of Computing and Decision Sciences

2019

Vol. 44, No. 1

101--119

The main aim of the presented study was to check whether the wellestablished 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 signicance 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.

Human-likeness assessment for the Uncanny Valley Hypothesis

Łupkowski P, Rybka M., Dziedzic D., Włodarczyk W.

Bio-Algorithms and Med-Systems

2017

Vol. 13, no. 3

125--131

The Uncanny Valley Hypothesis (UVH, proposed in the 1970s) suggests that looking at or interacting with almost human-like artificial characters would trigger eeriness or discomfort. We studied how well subjects can assess degrees of human likeness for computer-generated characters. We conducted two studies, where subjects were asked to assess human likeness of given computergenerated models (Study 1) and to point the most typical model for a given category (Study 2). The results suggest that evaluation of the way human likeness is assessed should be an internal part of UVH research.