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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 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.
Rocznik
Tom
Strony
101--119
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
autor
- Department of Logic and Cognitive Science, Institute of Psychology, Adam Mickiewicz University, Poznań, Reasoning Research Group
autor
- Department of Logic and Cognitive Science, Institute of Psychology, Adam Mickiewicz University, Poznań, Reasoning Research Group
Bibliografia
- [1] Becker-Asano C., Ogawa K., Nishio S. and Ishiguro H., Exploring the uncanny valley with geminoid hi-1 in a real-world application. In Proceedings of IADIS International conference interfaces and human computer interaction, pages 121–128, 2010.
- [2] Clinton P., Review: ‘Polar Express’ a creepy ride. technology brilliant but where’s the heart and soul?, November 2004. http://edition.cnn.com/2004/SHOWBIZ/Movies/11/10/review.polar.express/.
- [3] Gallagher D.F., Digital actors in ‘Beowulf’ are just uncanny November 2007. https://bits.blogs.nytimes.com/2007/11/14/digital-actors-in-beowulf-arejust-uncanny/.
- [4] Geller T., Overcoming the uncanny valley. IEEE computer graphics and applications, 28(4), 2008.
- [5] Kätsyri J., Mäkäräinen M. and Takala T., Testing the ‘uncanny valley’ hypothesis in semirealistic computer-animated film characters: An empirical evaluation of natural film stimuli. International Journal of Human-Computer Studies, 97:149–161, 2017.
- [6] Kätsyri J., Förger K., Mäkäräinen M. and Takala T., A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness. Frontiers in Psychology, 6:390, 2015.
- [7] Łupkowski P., Rybka M., Dziedzic D. and Włodarczyk W., Human-likeness assessment for the uncanny valley hypothesis. Bio-Algorithms and Med-Systems, 13(3):125–131, 2017.
- [8] Łupkowski P., Rybka M., Dziedzic D. and Włodarczyk W., The background context condition for the uncanny valley hypothesis. International Journal of Social Robotics, Sep 2018. Online first. 10.1007/s12369-018-0490-7.
- [9] MacDorman K.F. and Entezari S.O., Individual differences predict sensitivity to the uncanny valley. Interaction Studies, 16(2):141–172, 2015.
- [10] MacDorman K.F., Green R.D., Ho C.-C. and Koch C.T., Too real for comfort? uncanny responses to computer generated faces. Computers in human behawior, 25(3):695–710, 2009.
- [11] Maya R., Navigating a social world with robot partners: A quantitative cartography of the uncanny valley. 146, 2:22–32, 2016.
- [12] Moore R.K., A bayesian explanation of the ‘uncanny valley’ effect and related psychological phenomena. Scientific reports, 2:864, 2012.
- [13] Mori M., MacDorman K.F. and Kageki N., The uncanny valley [from the field]. IEEE Robotics & Automation Magazine, 19(2):98–100, 2012. (Original work published in 1970 in Japaneese).
- [14] Nomura T., Kanda T. and Suzuki T., Experimental investigation into influence of negative attitudes toward robots on human–robot interaction. Ai & Society, 20(2):138–150, 2006.
- [15] Nomura T., Kanda T., Suzuki T. and Kato K., Prediction of human behavior in human–robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE transactions on robotics, 24(2):442–451, 2008.
- [16] Piwek L., McKay L.S. and Pollick F.E., Empirical evaluation of the uncanny valley hypothesis fails to confirm the predicted effect of motion. Cognition, 130(3):271–277, 2014.
- [17] Pochwatko G., Giger J.-C., Różańska-Walczuk M., Świdrak J., Kukiełka K., Możaryn J. and Piçarra N., Polish version of the negative attitude toward robots scale (NARS-PL). Journal of Automation Mobile Robotics and Intelligent Systems, 9(3):65–72, 2015.
- [18] R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing Vienna Austria, 2013. acess 20.03.2017.
- [19] Rosenthal-von der Pütten A.M. and Krämer N.C., How design characteristics of robots determine evaluation and uncanny valley related responses. Computers in Human Behavior, 36:422–439, 2014.
- [20] Seyama J. and Nagayama R.S., The uncanny valley: Effect of realism on the impression of artificial human faces. Presence: Teleoper. Virtual Environ. 16(4):337–351, Aug. 2007.
- [21] Ueyama Y., A bayesian model of the uncanny valley effect for explaining the effects of therapeutic robots in autism spectrum disorder. PloS one, 10(9):e0138642, 2015.
- [22] Yamada Y., Kawabe T. and Ihaya K., Categorization difficulty is associated with negative evaluation in the “uncanny valley” phenomenon. Japanese Psychological Research, 55(1):20–32, 2013.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f89e010c-5ecd-4c14-bc9d-082c26579437