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International Conference on Human-Computer Interaction

HCII 2020: Cross-Cultural Design. User Experience of Products, Services, and Intelligent Environments pp 255–268Cite as

A Literature Review of the Research on the Uncanny Valley

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12192))

Abstract

Depend on the development of science and technology, the demands for robots are not only limited to the use of functions but also pay more attention to the emotional experience brought by the products. However, as the robot’s appearance approach human-likeness, it makes people uncomfortable, which is called the Uncanny Valley (UV). In this paper, we systematically review the hypothesis and internal mechanisms of UV. Then we focus on the methodological limitations of previous studies, including terms, assessment, and materials. At last, we summarize the applications in interaction design to avoid the uncanny valley and propose future directions.

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References

  1. Broadbent, E.: Interactions with robots: the truths we reveal about ourselves. Annu. Rev. Psychol. 68, 627–652 (2017). https://doi.org/10.1146/annurev-psych-010416-043958

    Article  Google Scholar 

  2. Wang, S., Lilienfeld, S.O., Rochat, P.: The uncanny valley: existence and explanations. Rev. Gen. Psychol. 19(4), 393–407 (2015). https://doi.org/10.1037/gpr0000056

    Article  Google Scholar 

  3. Mori, M., MacDorman, K., Kageki, N.: The uncanny valley [from the field]. IEEE Robot. Autom. Mag. 19(2), 98–100 (2012). https://doi.org/10.1109/mra.2012.2192811

    Article  Google Scholar 

  4. Mori, M.: The uncanny valley. Energy 7(4), 33–35 (1970)

    Google Scholar 

  5. MacDorman, K.F., Ishiguro, H.: The uncanny advantage of using androids in cognitive and social science research. Interact. Stud. 7(3), 297–337 (2006). https://doi.org/10.1075/is.7.3.03mac

    Article  Google Scholar 

  6. MacDorman, K.F., Green, R.D., Ho, C.C., Koch, C.T.: Too real for comfort? Uncanny responses to computer generated faces. Comput. Hum. Behav. 25(3), 695–710 (2009). https://doi.org/10.1016/j.chb.2008.12.026

    Article  Google Scholar 

  7. Gray, K., Wegner, D.M.: Feeling robots and human zombies: mind perception and the uncanny valley. Cognition 125(1), 125–130 (2012). https://doi.org/10.1016/j.cognition.2012.06.007

    Article  Google Scholar 

  8. Yamada, Y., Kawabe, T., Ihaya, K.: Categorization difficulty is associated with negative evaluation in the “uncanny valley” phenomenon. Jpn. Psychol. Res. 55(1), 20–32 (2013). https://doi.org/10.1111/j.1468-5884.2012.00538.x

    Article  Google Scholar 

  9. Hanson, D.: Expanding the aesthetic possibilities for humanoid robots. In: IEEE-RAS International Conference on Humanoid Robots (2005)

    Google Scholar 

  10. MacDorman, K.F., Entezari, S.O.: Individual differences predict sensitivity to the uncanny valley. Interact. Stud. 16(2), 141–172 (2015). https://doi.org/10.1075/is.16.2.01mac

    Article  Google Scholar 

  11. MacDorman, K.F., Chattopadhyay, D.: Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Cognition 146, 190–205 (2016). https://doi.org/10.1016/j.cognition.2015.09.019

    Article  Google Scholar 

  12. Ferrari, F., Paladino, M.P., Jetten, J.: Blurring human-machine distinctions: anthropomorphic appearance in social robots as a threat to human distinctiveness. Int. J. Soc. Robot. 8(2), 287–302 (2016). https://doi.org/10.1007/s12369-016-0338-y

    Article  Google Scholar 

  13. Ferrey, A.E., T.J. Burleigh, M.J. Fenske: Stimulus-category competition, inhibition, and affective devaluation: a novel account of the uncanny valley. Front. Psychol. 6(249) (2015). https://doi.org/10.3389/fpsyg.2015.00249

  14. Mathur, M.B., Reichling, D.B., Lunardini, F., et al.: Uncanny but not confusing: multisite study of perceptual category confusion in the uncanny valley. Comput. Hum. Behav. 103, 21–30 (2020). https://doi.org/10.1016/j.chb.2019.08.029

    Article  Google Scholar 

  15. Buckingham, G., Parr, J., Wood, G., et al.: Upper- and lower-limb amputees show reduced levels of eeriness for images of prosthetic hands. Psychon. Bull. Rev. 26(4), 1295–1302 (2019). https://doi.org/10.3758/s13423-019-01612-x

    Article  Google Scholar 

  16. Destephe, M., Zecca, M.., Hashimoto, K., Takanishi, A.: Uncanny valley, robot and autism: perception of the uncanniness in an emotional gait. In: Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, pp. 1152–1157. IEEE, Bali (2014). https://doi.org/10.1109/robio.2014.7090488

  17. Ho, C.-C., MacDorman, K.F.: Measuring the uncanny valley effect. Int. J. Soc. Robot. 9(1), 129–139 (2017). https://doi.org/10.1007/s12369-016-0380-9

    Article  Google Scholar 

  18. Koschate, M., Potter, R., Bremner, P., Levine, M.: Overcoming the uncanny valley: displays of emotions reduce the uncanniness of humanlike robots. In: 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 359–366. IEEE, Christchurch (2016). https://doi.org/10.1109/hri.2016.7451773

  19. Olivera-La Rosa, A.: Wrong outside, wrong inside: a social functionalist approach to the uncanny feeling. New Ideas Psychol. 50, 38–47 (2018). https://doi.org/10.1016/j.newideapsych.2018.03.004

    Article  Google Scholar 

  20. Katsyri, J., Forger, K., Makarainen, M., Takala, T.: A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness. Front. Psychol. 6(390) (2015). https://doi.org/10.3389/fpsyg.2015.00390

  21. Katsyri, J., Makarainen, M., Takala, T.: Testing the ‘uncanny valley’ hypothesis in semirealistic computer-animated film characters: an empirical evaluation of natural film stimuli. Int. J. Hum Comput Stud. 97, 149–161 (2017). https://doi.org/10.1016/j.ijhcs.2016.09.010

    Article  Google Scholar 

  22. Ho, C.-C., MacDorman, K.F.: Revisiting the uncanny valley theory: developing and validating an alternative to the Godspeed indices. Comput. Hum. Behav. 26(6), 1508–1518 (2010). https://doi.org/10.1016/j.chb.2010.05.015

    Article  Google Scholar 

  23. Bartneck, C., Kanda, T., Ishiguro, H., Hagita, N..: Is the uncanny valley an uncanny cliff? In: Proceedings of the 16th IEEE International Conference on Robot & Human Interactive Communication, pp. 368–373. IEEE, Jeju (2007)

    Google Scholar 

  24. Bartneck, C., Kanda, T., Ishiguro, H., Hagita, N.: My Robotic Doppelgänger – a critical look at the uncanny valley. In: 18th IEEE International Symposium on Robot and Human Interactive Communication, pp. 269–276. IEEE, Toyama (2009)

    Google Scholar 

  25. Lay, S., Brace, N., Pike, G.: Circling around the uncanny valley: design principles for research into the relation between human likeness and eeriness. i-Perception 1–11 (2016). https://doi.org/10.1177/2041669516681309

  26. Mathur, M.B., Reichling, D.B.: Navigating a social world with robot partners: a quantitative cartography of the Uncanny Valley. Cognition 146, 22–32 (2016). https://doi.org/10.1016/j.cognition.2015.09.008

    Article  Google Scholar 

  27. Ho, C.-C., MacDorman, K.F., Pramono, Z.A.D.: Human emotion and the uncanny valley: a GLM, MDS, and isomap analysis of robot video ratings. In: 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 169–176. IEEE, Amsterdam (2008)

    Google Scholar 

  28. Wang, S., Rochat, P.: Human perception of animacy in light of the uncanny valley phenomenon. Perception 46(12), 1386–1411 (2017). https://doi.org/10.1177/0301006617722742

    Article  Google Scholar 

  29. Villacampa, J., Ingram, G.P.D., Corradi, G., Rosa, A.O.-L.: Applying an implicit approach to research on the uncanny feeling. J. Artic. Support Null Hypothesis 16(1), 11–22 (2019)

    Google Scholar 

  30. MacDorman, K.F., Chattopadhyay, D.: Categorization-based stranger avoidance does not explain the uncanny valley effect. Cognition 161, 132–135 (2017). https://doi.org/10.1016/j.cognition.2017.01.009

    Article  Google Scholar 

  31. Katsyri, J., de Gelder, B., Takala, T.: Virtual faces evoke only a weak uncanny valley effect: an empirical investigation with controlled virtual face images. Perception 48(10), 968–991 (2019). https://doi.org/10.1177/0301006619869134

    Article  Google Scholar 

  32. MacDorman, K.F.: Subjective ratings of robot video clips for human likeness, familiarity, and eeriness: an exploration of the uncanny valley. In: Proceedings of the ICCS/CogSci 2006 Long Symposium ‘Toward Social Mechanisms of Android Science’, pp. 26–29 (2006)

    Google Scholar 

  33. Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1, 71–81 (2009).https://doi.org/10.1007/s12369-008-0001-3

  34. Saygin, A.P., Chaminade, T., Ishiguro, H., Driver, J., Frith, C.: The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions. SCAN 7, 413–422 (2012). https://doi.org/10.1093/scan/nsr025

    Article  Google Scholar 

  35. Strait, M., Scheutz, M.: Measuring users’ responses to humans, robots, and human-like robots with functional near infrared spectroscopy. In: 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 1128–1133. IEEE, Edinburgh (2014)

    Google Scholar 

  36. Cheetham, M., Wu, L., Pauli, P., Jancke, L.: Arousal, valence, and the uncanny valley: psychophysiological and self-report findings. Front. Psychol. 6(981) (2015). https://doi.org/10.3389/fpsyg.2015.00981

  37. Strait, M., Vujovic, L., Floerke, V., Scheutz, M., Urry, H.: Too much humanness for human-robot interaction. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI 2015, Seoul, pp. 3593–3602 (2015). https://doi.org/10.1145/2702123.2702415

  38. Reuten, A., van Dam, M., Naber, M.: Pupillary responses to robotic and human emotions: the uncanny valley and media equation confirmed. Front. Psychol. 9(774) (2018). https://doi.org/10.3389/fpsyg.2018.00774

  39. Rosenthal-von der Puetten, A.M., Kraemer, N.C., Maderwald, S., Brand, M., Grabenhorst, F.: Neural mechanisms for accepting and rejecting artificial social partners in the uncanny valley. J. Neurosci. 39(33), 6555–6570 (2019). https://doi.org/10.1523/jneurosci.2956-18.2019

  40. Cheetham, M., Suter, P., Jäncke, L.: The human likeness dimension of the “uncanny valley hypothesis”: behavioral and functional MRI findings. Front. Hum. Neurosci. 5(126) (2011). https://doi.org/10.3389/fnhum.2011.00126

  41. Steckenfinger, S.A., Ghazanfar, A.A.: Monkey visual behavior falls into the uncanny valley. Proc. Natl. Acad. Sci. U.S.A. 106(43), 18362–18366 (2009). https://doi.org/10.1073/pnas.0910063106

    Article  Google Scholar 

  42. Ramey, C.H.: An inventory of reported characteristics for home computers, robots, and human beings: applications for android science and the uncanny valley. In: Proceedings of the ICCS/CogSci 2006 Long Symposium ‘Toward Social Mechanisms of Android Science’ (2006)

    Google Scholar 

  43. Appel, M., Izydorczyk, D., Weber, S., Mara, M., Lischetzke, T.: The uncanny of mind in a machine: humanoid robots as tools, agents, and experiencers. Comput. Hum. Behav. 102, 274–286 (2020). https://doi.org/10.1016/j.chb.2019.07.031

    Article  Google Scholar 

  44. Strait, M.K., Floerke, V.A., Ju, W., et al.: Understanding the uncanny: both atypical features and category ambiguity provoke aversion toward humanlike robots. Front. Psychol. 8(1366) (2017). https://doi.org/10.3389/fpsyg.2017.01366

  45. Cheetham, M., Jancke, L.: Perceptual and category processing of the uncanny valley hypothesis’ dimension of human likeness: some methodological issues. Jove J. Visual. Exp. (76) (2013). https://doi.org/10.3791/4375

  46. Prakash, A., Rogers, W.A.: Why some humanoid faces are perceived more positively than others: effects of human-likeness and task. Int. J. Soc. Robot. 7(2), 309–331 (2015). https://doi.org/10.1007/s12369-014-0269-4

    Article  Google Scholar 

  47. DiSalvo, C.F., Gemperle, F., Forlizzi, J., Kiesler, S.: All robots are not created equal: the design and perception of humanoid robot heads. In: Proceedings of the 4th conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 321–326. ACM Press, London (2002). https://doi.org/10.1145/778712.778756

  48. Woods, S.: Exploring the design space of robots: children’s perspectives. Interact. Comput. 18(6), 1390–1418 (2006). https://doi.org/10.1016/j.intcom.2006.05.001

    Article  Google Scholar 

  49. Woods, S., Dautenhahn, K., Schulz, J.: The design space of robots: investigating children’s views. In: 13th IEEE International Workshop on Robot and Human Interactive Communication, pp. 47–52. IEEE, Kurashiki (2004). https://doi.org/10.1109/roman.2004.1374728

  50. Lin, W., Yueh, H.-P., Wu, H.-Y., Fu, L.-C.: Developing a service robot for a children’s library: a design-based research approach. J. Assoc. Inf. Sci. Technol. 65(2), 290–301 (2014). https://doi.org/10.1002/asi.22975

    Article  Google Scholar 

  51. Jizheng, Y., Zhiliang, W., Yan, Y.: Humanoid robot head design based on uncanny valley and FACS. J. Robot. (2014). https://doi.org/10.1155/2014/208924

    Article  Google Scholar 

  52. Hanson, D., et al.: Upending the uncanny valley. In: The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, Pittsburgh, Pennsylvania, USA, 9–13 July 2005 (2005)

    Google Scholar 

  53. Zibrek, K., Kokkinara, E., McDonnell, R.: The effect of realistic appearance of virtual characters in immersive environments - does the character’s personality play a role? IEEE Trans. Visual Comput. Graphics 24(4), 1681–1690 (2018). https://doi.org/10.1109/tvcg.2018.2794638

    Article  Google Scholar 

  54. Burleigh, T.J., Schoenherr, J.R., Lacroix, G.L.: Does the uncanny valley exist? An empirical test of the relationship between eeriness and the human likeness of digitally created faces. Comput. Hum. Behav. 29(3), 759–771 (2013). https://doi.org/10.1016/j.chb.2012.11.021

    Article  Google Scholar 

  55. Chattopadhyay, D., MacDorman, K.F.: Familiar faces rendered strange: Why inconsistent realism drives characters into the uncanny valley. J Vis. 16(11), 7 (2016). https://doi.org/10.1167/16.11.7

    Article  Google Scholar 

  56. Schwind, V., Leicht, K., Jaeger, S., Wolf, K., Henze, N.: Is there an uncanny valley of virtual animals? A quantitative and qualitative investigation. Int. J. Hum Comput Stud. 111, 49–61 (2018). https://doi.org/10.1016/j.ijhcs.2017.11.003

    Article  Google Scholar 

  57. Seyama, J.I., Nagayama, R.S.: The uncanny valley: effect of realism on the impression of artificial human faces. Presence Teleop. Virt. Environ. 16(4), 337–351 (2007). https://doi.org/10.1162/pres.16.4.337

  58. Zlotowski, J., Sumioka, H., Nishio, S., Glas, D.F., Bartneck, C., Ishiguro, H.: Persistence of the uncanny valley: the influence of repeated interactions and a robot’s attitude on its perception. Front. Psychol. (2015). https://doi.org/10.3389/fpsyg.2015.00883

    Article  Google Scholar 

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Acknowledgments

Jie Zhang and Shuo Li made equal contributions to this manuscript. This research is supported by fund for building world-class universities (disciplines) of Renmin University of China. Project No. 2018, the Beijing Natural Science Foundation (5184035), and CAS Key Laboratory of Behavioral Science, Institute of Psychology.

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Authors and Affiliations

  1. CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    Jie Zhang, Jing-Yu Zhang, Feng Du, Yue Qi & Xun Liu

  2. Department of Psychology, University of Chinese Academy of Sciences, Beijing, China

    Jie Zhang, Jing-Yu Zhang, Feng Du, Yue Qi & Xun Liu

  3. Department of Psychology, Nankai University, Tianjin, China

    Shuo Li

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  1. Jie Zhang
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Correspondence to Yue Qi .

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  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Zhang, J., Li, S., Zhang, JY., Du, F., Qi, Y., Liu, X. (2020). A Literature Review of the Research on the Uncanny Valley. In: Rau, PL. (eds) Cross-Cultural Design. User Experience of Products, Services, and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12192. Springer, Cham. https://doi.org/10.1007/978-3-030-49788-0_19

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