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The Uncanny in the Wild. Analysis of Unscripted Human–Android Interaction in the Field

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Abstract

Against the background of the uncanny valley hypothesis we investigated how people react towards an android robot in a natural environment dependent on the behavior displayed by the robot (still vs. moving) in a quasi-experimental observational field study. We present data on unscripted interactions between humans and the android robot “Geminoid HI-1” in an Austrian public café and subsequent interviews. Data were analyzed with regard to the participants’ nonverbal behavior (e.g. attention paid to the robot, proximity). We found that participants’ behavior towards the android robot as well as their interview answers were influenced by the behavior the robot displayed. In addition, we found huge inter-individual differences in the participants’ behavior. Implications for the uncanny valley and research on social human–robot interactions are discussed.

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References

  1. Onishi M, Luo Z, Odashima T et al (2007) Generation of human care behaviors by human–interactive robot RI-MAN. In: Proceedings of the IEEE international conference on robotics and automation, ICRA’07. IEEE Press, New York, pp 3128–3129

    Google Scholar 

  2. Matarić MJ, Eriksson J, Feil-Seifer DJ et al (2007) Socially assistive robotics for post-stroke rehabilitation. J NeuroEng Rehabil 4(1):5. doi:10.1186/1743-0003-4-5

    Article  Google Scholar 

  3. Matarić MJ (2006) Socially assistive robotics. IEEE Intell Syst 21(4):81–83

    Google Scholar 

  4. Broadbent E, Stafford R, MacDonald B (2009) Acceptance of healthcare robots for the older population: review and future directions. Int J Soc Robot 1(4):319–330. doi:10.1007/s12369-009-0030-6

    Article  Google Scholar 

  5. Ceccarelli M (2011) Problems and issues for service robots in new applications. Int J Soc Robot 3(3):299–312. doi:10.1007/s12369-011-0097-8

    Article  MathSciNet  Google Scholar 

  6. Stafford RQ, MacDonald BA, Jayawardena C et al (2013) Does the robot have a mind? Mind perception and attitudes towards robots predict use of an eldercare robot. Int J Soc Robot. doi:10.1007/s12369-013-0186-y

    Google Scholar 

  7. Matsumoto N, Fujii H, Okada M (2006) Minimal design for human–agent communication. Artif Life Robot 10(1):49–54. doi:10.1007/s10015-005-0377-1

    Article  Google Scholar 

  8. Blow MP, Dautenhahn K, Appleby A et al (2006) Perception of robot smiles and dimensions for human–robot interaction design. In: Proceedings of the 15th IEEE international workshop on robot and human interactive communication (RO-MAN 2006), pp 469–474

    Google Scholar 

  9. Ishiguro H (2006) Interactive humanoids and androids as ideal interfaces for humans. In: Paris CL, Sidner CL, Edmonds E et al (eds) Proceedings of the 11th international conference on intelligent user interfaces, IUI ’06. ACM Press, New York, pp 2–9

    Google Scholar 

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

    Google Scholar 

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

    Article  Google Scholar 

  12. MacDorman KF (2006) Subjective ratings of robot video clips for human likeness, familarity, and eeriness: an exploration of the uncanny valley. In: Proceedings of the cog sci 2006 workshop on android science, pp 26–29

    Google Scholar 

  13. Hanson D, Olney A, Pereira IA et al (2005) Upending the uncanny valley. In: Proceedings of the national conference on artificial intelligence, vol 20, pp 1728–1729

    Google Scholar 

  14. Brenton M, Gillies M, Ballin D et al (2005) The uncanny valley: does it exist? In: Proceedings of the conference of human computer interaction, workshop on human animated character interaction

    Google Scholar 

  15. Hanson D (2006) Exploring the aesthetic range for humanoid robots. In: Proceedings of the cog sci 2006 workshop on android science, pp 16–20

    Google Scholar 

  16. Pollick FE (2010) In search of the uncanny valley. In: Daras P, Ibarra OM (eds) Proceedings of the first international conference on user centric media, UCMedia 2009, Venice, Italy, December 9–11, 2009. Revised selected papers. Springer, Berlin, pp 69–78

    Google Scholar 

  17. Gee FC, Browne WN, Kawamura K (2005) Uncanny valley revisited. In: Proceedings of the 14th IEEE workshop ro-man, pp 151–157

    Google Scholar 

  18. Bartneck C, Kanda T, Ishiguro H et al (2007) Is the uncanny valley an uncanny cliff? In: Proceedings of the 16th IEEE international workshop on robot and human interactive communication (RO-MAN 2007), pp 368–373

    Google Scholar 

  19. Shimada M, Minato T, Itakura S et al (2006) Evaluation of android using unconscious recognition. In: Proceedings of the 6th IEEE-RAS international conference on humanoid robots (Humanoids 2006), pp 157–162. doi:10.1109/ICHR.2006.321378

    Chapter  Google Scholar 

  20. Minato T, Shimada M, Itakura S et al (2005) Does gaze reveal the human likeness of an android? In: Proceedings of the 4th international conference on development and learning, pp 106–111

    Google Scholar 

  21. Minato T, Shimada M, Itakura S et al (2006) Evaluating the human likeness of an android by comparing gaze behaviors elicited by the android and a person. Adv Robot 20(10):1147–1163. doi:10.1163/156855306778522505

    Article  Google Scholar 

  22. von der Pütten AM, Eimler SC, Krämer NC (2011) Living with a robot companion. empirical study on the interaction with an artificial health advisor. In: Proceedings of the 2011 ACM international conference on multimodal interaction, ICMI’11. ACM Press, New York, pp 327–334

    Google Scholar 

  23. Sung J (2009) Robots in the wild: understanding long-term use. In: Proceedings of the 4th ACM/IEEE international conference on human–robot interaction, HRI’09. ACM Press, New York, pp 45–52

    Google Scholar 

  24. Sung J, Grinter RE, Christensen HI (2010) Domestic robot ecology. Int J Soc Robot. doi:10.1007/s12369-010-0065-8

    Google Scholar 

  25. Weiss A, Igelsböck J, Tscheligi M et al (2010) Robots asking for directions: the willingness of passers-by to support robots. In: Proceedings of the 5th ACM/IEEE international conference on human–robot interaction, HRI 2010. IEEE, Piscataway, pp 23–30

    Google Scholar 

  26. Hayashi K, Sakamoto D, Kanda T et al (2007) Humanoid robots as a passive-social medium. In: Breazeal CL, Schultz AC, Fong T et al (eds) Proceedings of the 2nd ACM/IEEE international conference on human–robot interaction, HRI’07. ACM, New York, pp 137–144

    Chapter  Google Scholar 

  27. Shiomi M, Kanda T, Ishiguro H et al (2007) Interactive humanoid robots for a science museum. Intell Syst 22(2):25–32

    Article  Google Scholar 

  28. Kanda T, Sato R, Saiwaki N et al (2007) A two-month field trial in an elementary school for long-term human–robot interaction. IEEE Trans Robot 23(5):962–971. doi:10.1109/TRO.2007.904904

    Article  Google Scholar 

  29. Bartneck C, Takayuki K, Ishiguro H et al (2009) My robotic doppelgänger—a critical look at the uncanny valley theory. In: Proceedings of the 18th IEEE international workshop on robot and human interactive communication (RO-MAN 2009), pp 269–276

    Google Scholar 

  30. Mori M, MacDorman K, Kageki N (2012) The uncanny valley. IEEE Robot Autom Mag 19(2):98–100. doi:10.1109/MRA.2012.2192811

    Article  Google Scholar 

  31. Hara F (2004) Artificial emotion of face robot through learning in communicative interactions with human. In: Proceedings of the 13th IEEE international workshop on robot and human interactive communication, (RO-MAN 2004), pp 7–15. doi:10.1109/ROMAN.2004.1374712

    Google Scholar 

  32. Walters ML, Dautenhahn K, te Boekhorst R et al (2007) Exploring the design space of robot appearance and behavior in an attention-seeking ‘Living room’ scenario for a robot companion. In: IEEE symposium on artificial life (ALIFE ’07), pp 341–347. doi:10.1109/ALIFE.2007.367815

    Chapter  Google Scholar 

  33. Kanda T, Miyashita T, Osada T et al (2008) Analysis of humanoid appearances in human–robot interaction. IEEE Trans Robot 24(3):725–735. doi:10.1109/TRO.2008.921566

    Article  Google Scholar 

  34. Tondu B, Bardou N (2011) A new interpretation of Mori’s uncanny valley for future humanoid robots. Int J Robot Autom. doi:10.2316/Journal.206.2011.3.206-3348

    Google Scholar 

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

    Article  Google Scholar 

  36. McDorman KF (2005) Mortality salience and the uncanny valley. In: Proceedings of the 5th IEEE-RAS international conference on humanoid robots, pp 399–405

    Google Scholar 

  37. Greenberg J, Pyszczynski T, Solomon S et al (1990) Evidence for terror management theory II: The effects of mortality salience on reactions to those who threaten or bolster the cultural worldview. J Pers Soc Psychol 58(2):308–318. doi:10.1037/0022-3514.58.2.308

    Article  Google Scholar 

  38. Ho C, MacDorman KF, Pramono Z (2008) Human emotion and the uncanny valley: a GLM, MDS, and isomap analysis of robot video ratings. In: Proceedings of the 3rd ACM/IEEE international conference on human–robot interaction (HRI 2008), pp 169–176

    Google Scholar 

  39. Noma M, Saiwaki N, Itakura S et al (2006) Composition and evaluation of the humanlike motions of an android. In: 6th IEEE-RAS international conference on humanoid robots, pp 163–168

    Google Scholar 

  40. Turing AM (1950) Computing machinery and intelligence. Mind 59(336):433–460

    Article  MathSciNet  Google Scholar 

  41. French RM (1990) Subcognition and the limits of the TuringTest. Mind XCIX(393):53–65. doi:10.1093/mind/XCIX.393.53

    Article  MathSciNet  Google Scholar 

  42. Straub I, Nishio S, Ishiguro H (2010) Incorporated identity in interaction with a teleoperated android robot: a case study. In: Proceedings of the 19th IEEE international workshop on robot and human interactive communication (RO-MAN 2010), pp 119–144. doi:10.1109/ROMAN.2010.5598695

    Google Scholar 

  43. Nass C, Steuer J, Tauber ER (1994) Computers are social actors. In: Proceedings of the SIGCHI conference of human factors in computing systems (CHI 1994), pp 72–78

    Google Scholar 

  44. Nass C, Moon Y, Morkes J et al (1997) Computers are social actors: a review of current research. In: Friedman B (ed) Human values and the design of computer technology, vol 72. CSLI Publications, Cambridge, pp 137–162

    Google Scholar 

  45. Ramey CH (2006) An inventory of reported characteristics for home computers, robots, and human beings: applications for android science and the uncanny valley. In: MacDorman KF, Ishiguro H (eds) Proceedings of the ICCS/CogSci-2006 long symposium “Toward social mechanisms of android science”, pp 21–25

    Google Scholar 

  46. Becker-Asano C, Ogawa K, Nishio S et al (2010) Exploring the uncanny valley with geminoid HI-1 in a real world application. In: Blashki K (ed) Proceedings of the IADIS international conference on interfaces and human computer interaction, IHCI 2010, pp 121–128

    Google Scholar 

  47. Ortony A, Norman D, Revelle W (2005) Affect and proto-affect in effective functioning. In: Fellous J, Arbib MA (eds) Who needs emotions: the brain meets the robot. Oxford University Press, Oxford, pp 173–202

    Chapter  Google Scholar 

  48. Cowley JS, McDorman KF (2006) What baboons, babies, and Tetris players tell us about interaction: a biosocial view of norm-based social learning. Connect Sci 18(4):363–378

    Article  Google Scholar 

  49. Minsky M (1975) A framework for representing knowledge. In: Winston PH (ed) The psychology of computer vision. McGraw-Hill, New York, pp 211–277

    Google Scholar 

  50. Ramey CH (2005) The uncanny valley of similarities concerning abortion, baldness, heaps of sand, and humanlike robots. In: Proceedings of views of the uncanny valley workshop: IEEE-RAS international conference on humanoid robots, Tsukuba, Japan, pp 8–13

    Google Scholar 

  51. Rozin P, Fallon AE (1987) A perspective on disgust. Psychol Rev 94(1):23–41

    Article  Google Scholar 

  52. Rozin P, Haidt J, McCauley C et al (1999) Individual differences in disgust sensitivity: comparisons and evaluations of paper-and-pencil versus behavioral measures. J Res Pers 33(3):330–351

    Article  Google Scholar 

  53. Blow MP, Dautenhahn K, Appleby A et al (2006) The art of designing robot faces—dimensions for human–robot interaction. In: Goodrich MA, Schultz AC, Bruemmer DJ (eds) Proceedings of ACM SIGCHI/SIGART 2nd conference on human robot interaction (HRI2006). ACM, New York, pp 321–332

    Google Scholar 

  54. Nass C, Fogg BJ, Moon Y (1996) Can computers be teammates? Int J Hum-Comput Stud 45:669–678

    Article  Google Scholar 

  55. von der Pütten AM, Krämer NC (2012) A survey on robot appearances. In: Proceedings of the 7th ACM/IEEE international conference on human–robot interaction (HRI 2012), pp 267–268

    Google Scholar 

  56. Nishio S, Ishiguro H, Hagita N (2007) Geminoid: teleoperated android of an existing person. In: de Pina Filho AC (ed) Humanoid Robots: New Developments. I-Tech Education and Publishing, Rijeka, pp 343–352

    Google Scholar 

  57. OpenCV Wiki FaceDetection. http://opencv.willowgarage.com/wiki/FaceDetection

  58. Wittenburg P, Brugman H, Russel A et al (2006) Elan: a professional framework for multimodality research. In: Proceedings of language resources and evaluation conference (LREC)

    Google Scholar 

  59. Hall ET (1982) The hidden dimension. An anthropologist examines humans’ use of space in public and private. Anchor, New York

    Google Scholar 

  60. Hall ET (1974) Handbook for proxemics research. In: Society for the anthropology of visual communication, Washington DC

    Google Scholar 

  61. Howell DC (2010) Statistical methods for psychology, 7th edn. Thomson Wadsworth, Belmont

    Google Scholar 

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Acknowledgements

This work was partially supported by a doctoral fellowship of the Studienstiftung des deutschen Volkes (German National Academic Foundation), by Grant-in-Aid for Scientific Research (S), KAKENHI (20220002) and a post-doctoral fellowship of the Japan Society for the Promotion of Science (JSPS).

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Correspondence to Astrid M. Rosenthal-von der Pütten.

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Rosenthal-von der Pütten, A.M., Krämer, N.C., Becker-Asano, C. et al. The Uncanny in the Wild. Analysis of Unscripted Human–Android Interaction in the Field. Int J of Soc Robotics 6, 67–83 (2014). https://doi.org/10.1007/s12369-013-0198-7

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