The Background Context Condition for the Uncanny Valley Hypothesis

Łupkowski, Paweł; Rybka, Marek; Dziedzic, Dagmara; Włodarczyk, Wojciech

doi:10.1007/s12369-018-0490-7

Cited by 16 publications

(5 citation statements)

References 10 publications

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“…It is worth to mention here that when it comes to human-likeness assessment of models from our study sample we have obtained analogical results to the ones from the study presented in [7]. What is more, the same set of models was used in another study concerning the background condition for UVH (see [8])-also in this case the DOH ordering was the same (four groups of models were established by subjects' evaluations). This suggests that the set of models prepared for aforementioned studies provides a good and already tested starting point for future modifications and research (see the internal validity discussion for UVH related research in [6]).…”

Section: Summary and Discussionsupporting

confidence: 67%

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

Łupkowski

Gierszewska²

2019

Foundations of Computing and Decision Sciences

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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 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.

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Section: Summary and Discussionsupporting

confidence: 67%

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

Łupkowski

Gierszewska²

2019

Foundations of Computing and Decision Sciences

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“…Furthermore, the generality of warmth items makes them susceptible to confounds. Stimulus evaluation could be influenced by, for example, background, clothing, color, narrative and framing, verbal and nonverbal behavior, interactivity, personality, relationships, and culture [Brink et al 2019;Kennedy 2014;Łupkowski et al 2018;MacDorman 2019;]. Thus, warmth items do not indicate the UV effect but a related construct.…”

Section: Other Constructs Other Constructs and Their Associated Measures And Theories Includementioning

confidence: 99%

A Meta-analysis of the Uncanny Valley's Independent and Dependent Variables

Diel

Weigelt

MacDorman

2021

J. Hum.-Robot Interact.

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The uncanny valley (UV) effect is a negative affective reaction to human-looking artificial entities. It hinders comfortable, trust-based interactions with android robots and virtual characters. Despite extensive research, a consensus has not formed on its theoretical basis or methodologies. We conducted a meta-analysis to assess operationalizations of human likeness (independent variable) and the UV effect (dependent variable). Of 468 studies, 72 met the inclusion criteria. These studies employed 10 different stimulus creation techniques, 39 affect measures, and 14 indirect measures. Based on 247 effect sizes, a three-level meta-analysis model revealed the UV effect had a large effect size, Hedges’ g = 1.01 [0.80, 1.22]. A mixed-effects meta-regression model with creation technique as the moderator variable revealed face distortion produced the largest effect size, g = 1.46 [0.69, 2.24], followed by distinct entities, g = 1.20 [1.02, 1.38], realism render, g = 0.99 [0.62, 1.36], and morphing, g = 0.94 [0.64, 1.24]. Affective indices producing the largest effects were threatening, likable, aesthetics, familiarity , and eeriness , and indirect measures were dislike frequency, categorization reaction time, like frequency, avoidance , and viewing duration . This meta-analysis—the first on the UV effect—provides a methodological foundation and design principles for future research.

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“…Nevertheless, it has been shown that the realism of inanimate objects does not cause the uncanny valley effect (MacDorman et al, 2009). Additionally, Łupkowski, Rybka, Dziedzic, & Włodarczyk (2018) showed that background context is not an important factor for the uncanny valley. For that reason, it is important for game designers to focus on the creation of characters in high realism environments.…”

Section: Still Uncannymentioning

confidence: 99%

Uncanny Valley in Video Games: An Overview

Ratajczyk

2019

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The uncanny valley is an idea proposed by Masahiro Mori (1970) regarding negative emotions present in contacts with almost humanlike characters. In the beginning, it was considered only in the context of humanoid robots, but this context was broadened by the development of highly realistic animations and video games. Particularly evident are players’ interests in the uncanny valley. Recently there have been a growing number of reports from empirical studies regarding participants’ perception of highly realistic characters. In the paper, a review of publications concerning the uncanny valley hypothesis in video games is presented, as are deliberations about the impact of the uncanny valley on the game industry. According to the results, there is a need to recognise which attributes of virtual characters cause the uncanny valley effect.

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The Background Context Condition for the Uncanny Valley Hypothesis

Cited by 16 publications

References 10 publications

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

A Meta-analysis of the Uncanny Valley's Independent and Dependent Variables

Uncanny Valley in Video Games: An Overview

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