Skip to main content

Embodiment, Situatedness, and Morphology for Humanoid Robots Interacting with People

  • Living reference work entry
  • First Online:
Humanoid Robotics: A Reference

Abstract

The aim of human-robot interaction (HRI) is that people intuitively understand robots. When integrating humanoid robots into our daily lives, a myriad of factors can influence how a person perceives and interacts with a robot. Particularly, humanoid robots’ embodiment, situatedness, and morphology can individually and collectively affect the interactions between a person and robot, including the utilitarian and aesthetic factors of the robot’s physical design. It is therefore necessary to investigate how humanoid design choices impact a robots functions in society. In this chapter, we discuss what it means for a robot to be embodied, situated, and to have morphology. Further, we consider relevant HRI research alongside research that underscores the need for roboticists to integrate embodied cognition, situatedness, and morphology in robotic design. For example, research findings demonstrate a materially embodied design that accounts for situatedness as a necessary element for eliciting positive perception of a robot agent. Moreover, we expand on the need for the robotics field to extend its empirical research with varying degrees of implementation that disassociate and control for design factors to distinguish which particular elements provoke positive, neutral, or negative effects in HRI. Without a more robust literature base to discern the most effective forms of robotics within commonplace applications, it will be difficult to know if the applied robotic forms achieve the most compelling HRI.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. S.O. Adalgeirsson, C. Breazeal, Mebot: a robotic platform for socially embodied presence, in Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction (IEEE Press, 2010), pp. 15–22

    Google Scholar 

  2. C. Bartneck, J. Reichenbach, A. van Breemen, In your face, robot! The influence of a character’s embodiment on how users perceive its emotional expressions, in Proceedings of the Design and Emotion 2004 Conference, Ankara, 2004

    Google Scholar 

  3. W. Bechtel, Explanation: mechanism, modularity, and situated cognition, in The Cambridge Handbook of Situated Cognition, ed. By M. Aydede, P. Robbins (Cambridge University Press, Cambridge, 2009), pp. 155–170

    Google Scholar 

  4. J. Blascovich, J. Bailenson, Infinite reality: avatars, eternal life, new worlds, and the dawn of the virtual revolution. Presence 20(5), 502–502 (2011) ISSN:1054-7460. https://doi.org/10.1162/PRES_r_00068

  5. M. Blow, K. Dautenhahn, A. Appleby, C.L. Nehaniv, D.C. Lee, Perception of robot smiles and dimensions for human-robot interaction design, in ROMAN 2006 – The 15th IEEE International Symposium on Robot and Human Interactive Communication, Sept 2006, pp. 469–474. https://doi.org/10.1109/ROMAN.2006.314372

  6. J. Bongard, The utility of evolving simulated robot morphology increases with task complexity for object manipulation. Artif. Life 16(3), 201–223 (2010). https://doi.org/10.1162/artl.2010.bongard.024

  7. C. Breazeal, A. Brooks, J. Gray, G. Hoffman, C. Kidd, H. Lee, J. Lieberman, A. Lockerd, D. Chilongo, Tutelage and collaboration for humanoid robots. Int. J. Humanoid Rob. 1(02), 315–348 (2004)

    Google Scholar 

  8. R.A. Brooks, Elephants don’t play chess. Robot. Auton. Syst. 6(1–2), 3–15 (1990). ISSN:0921-8890. https://doi.org/10.1016/S0921-8890(05)80025-9

  9. A. Butchibabu, C. Sparano-Huiban, L. Sonenberg, J. Shah, Implicit coordination strategies for effective team communication. Hum. Factors J. Hum. Factors Ergon. Soc. 58(4), 595–610 (2016)

    Google Scholar 

  10. A. Cangelosi, T. Ogata, Speech and language in humanoid robots, in Humanoid Robotics: A Reference (Springer, London, 2018)

    Google Scholar 

  11. Z. Carlson, L. Lemmon, M. Higgins, D. Frank, D. Feil-Seifer, This robot stinks! differences between perceived mistreatment of robot and computer partners. J. Hum. Robot Interact. (arXiv submission)

    Google Scholar 

  12. A. Clark, Being There: Putting Brain, Body, and World Together Again (MIT Press, 1998). ISBN:978-0-262-53156-6

    Google Scholar 

  13. A. De Beir, B. Vanderboght, Evolutionary method for robot morphology: case study of social robot probo, in The Eleventh ACM/IEEE International Conference on Human Robot Interaction, HRI’2016, Piscataway (IEEE Press, 2016), pp. 609–610. ISBN:978-1-4673-8370-7. http://dl.acm.org/citation.cfm?id=2906831.2907005

  14. C.F. DiSalvo, F. Gemperle, J. Forlizzi, S. Kiesler, 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, DIS’02, New York (ACM, 2002), pp. 321–326. ISBN:1-58113-515-7. http://doi.acm.org/10.1145/778712.778756

  15. B. Duffy, G. Joue, Intelligent robots: the question of embodiment, in Brain-Machine Workshop, Ankara, 2000

    Google Scholar 

  16. B.R. Duffy, Anthropomorphism and the social robot. Robot. Auton. Syst. 42(3–4), 177–190 (2003). ISSN:0921-8890. https://doi.org/10.1016/S0921-8890(02)00374-3. http://www.sciencedirect.com/science/article/pii/S0921889002003743. Socially Interactive Robots

  17. J. Fasola, M. Mataric, A socially assistive robot exercise coach for the elderly. J. Hum. Robot Interact. 2(2), 3–32 (2013)

    Google Scholar 

  18. D. Feil-Seifer, The tail; shouldn’t way the dog: why modeling dog-human interaction is not ideal for socially assistive robotics. Interact. Stud. 15(2), 195–200 (2014)

    Google Scholar 

  19. D. Feil-Seifer, M. Matarić, Defining socially assistive robotics, in International Conference on Rehabilitation Robotics (ICORR), Chicago, June 2005, pp. 465–468. https://doi.org/10.1109/ICORR.2005.1501143

  20. D. Feil-Seifer, M. Matarić, Ethical principles for socially assistive robotics. IEEE Robot. Autom. Mag. 18(1), 24–31 (2011). https://doi.org/10.1109/MRA.2010.940150

  21. D. Feil-Seifer, M. Matarić, Distance-based computational models for facilitating robot interaction with children. J. Hum. Robot Interact. 1(1), 55–77 (2012). https://doi.org/10.5898/JHRI.1.1.Feil-Seifer

  22. J. Fink, Anthropomorphism and human likeness in the design of robots and human-robot interaction, in Proceedings of the 4th International Conference on Social Robotics, ICSR’12, Berlin/Heidelberg (Springer, 2012), pp. 199–208. ISBN:978-3-642-34102-1. https://doi.org/10.1007/978-3-642-34103-8_20

  23. M.E. Foster, M. Giuliani, A. Isard, Task-based evaluation of context-sensitive referring expressions in human – robot dialogue. Lang. Cogn. Neurosci. 29(8), 1018–1034 (2014)

    Google Scholar 

  24. J. Fox, S.J. Ahn, J.H. Janssen, L. Yeykelis, K.Y. Segovia, J.N. Bailenson, Avatars versus agents: a meta-analysis quantifying the effect of agency on social influence. Hum. Comput. Interact. 30(5), 401–432 (2015)

    Google Scholar 

  25. K. Gold, M. Doniec, B. Scassellati, Learning grounded semantics with word trees: prepositions and pronouns, in IEEE 6th International Conference on Development and Learning. ICDL 2007 (IEEE, 2007), pp. 25–30

    Google Scholar 

  26. A. Hornung, S. Böttcher, J. Schlagenhauf, C. Dornhege, A. Hertle, M. Bennewitz, Mobile manipulation in cluttered environments with humanoids: integrated perception, task planning, and action execution, in 2014 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids) (IEEE, 2014), pp. 773–778

    Google Scholar 

  27. C. Jung, L. Strother, D. Feil-Seifer, J. Hustler, Atypical asymmetry for processing human and robot faces in autism revealed by fNIRS. PLoS One 11(7), 1–13 (2016). https://doi.org/10.1371/journal.pone.0158804

  28. C.D.F.B. Katrin Solveig Lohan, H. Lehmann, H. Kose, Enriching the human robot interaction loop with natural, semantic and symbolic gestures, in Humanoid Robotics: A Reference (Springer, London, 2018)

    Google Scholar 

  29. A. Kerepesi, E. Kubinyi, G. Jonsson, M. Magnusson, Á. Miklósi, Behavioural comparison of human-animal (dog) and human-robot (aibo) interactions. Behav. Process. 73(1), 92–99 (2006). ISSN:0376-6357. https://doi.org/10.1016/j.beproc.2006.04.001. http://www.sciencedirect.com/science/article/pii/S0376635706001033

  30. S. Kiesler, A. Powers, S. Fussel, C. Torrey, Anthropomorphic interactions with a robot and robot-like agent. Soc. Cogn. 26, 169–181 (2008). ISSN:0278-016X. https://doi.org/10.1521/soco.2008.26.2.169

  31. H. Kose-Bagci, E. Ferrari, K. Dautenhahn, D.S. Syrdal, C.L. Nehaniv, Effects of embodiment and gestures on social interaction in drumming games with a humanoid robot. Adv. Robot. 23(14), 1951–1996 (2009)

    Google Scholar 

  32. M.V. Liarokapis, P.K. Artemiadis, K.J. Kyriakopoulos, Quantifying anthropomorphism of robot hands, pp. 2041–2046 (2013). ISBN:9781467356411. https://doi.org/10.1109/ICRA.2013.6630850

  33. J. Lindblom, Embodied Social Cognition. Cognitive Systems Monographs (Springer, Cham, 2015). ISBN:9783319203157. https://books.google.com/books?id=RLEYCgAAQBAJ

  34. J. Lindblom, T. Ziemke, Social situatedness of natural and artificial intelligence: vygotsky and beyond. Adapt. Behav. 11(2), 79–96 (2003). https://doi.org/10.1177/10597123030112002

  35. H. Lucas, J. Poston, N. Yocum, Z. Carlson, D. Feil-Seifer, Too big to be mistreated? Examining the role of robot size on perceptions of mistreatment, in IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), New York, Aug 2016, pp. 1071–1076. ISBN:978-1-5090-3928-9. https://doi.org/10.1109/ROMAN.2016.7745241

  36. H. Maturana, F.J. Varela, Autopoiesis and Cognition – The Realization of the Living, 1980. ISBN:978-90-277-1015-4. https://doi.org/10.1007/978-94-009-8947-4

  37. C.I. Mavrogiannis, M.V. Liarokapis, K.J. Kyriakopoulos, Quantifying anthropomorphism of robot arms, in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sept 2015, pp. 4084–4089. https://doi.org/10.1109/IROS.2015.7353954

  38. M. Mori, Bukimi no tani (The Uncanny Valley). Energy 7, 33–35 (1970)

    Google Scholar 

  39. J. Morkes, H.K. Kernal, C. Nass, Effects of humor in task-oriented human-computer interaction and computer-mediated communication: a direct test of SRCT theory. Hum. Comput. Interact. 14(4), 395–435 (1999). ISSN:0737-0024. https://doi.org/10.1207/S15327051HCI1404_2

  40. T. Nomura, Empathy as signaling feedback between (humanoid) robots and humans, in Humanoid Robotics: A Reference (Springer, London, 2018)

    Google Scholar 

  41. S. Penny, Art and robotics: sixty years of situated machines. AI Soc. 28(2), 147–156 (2013)

    Google Scholar 

  42. R. Perrone, F. Nessi, E. De Momi, F. Boriero, M. Capiluppi, P. Fiorini, G. Ferrigno, Ontology-based modular architecture for surgical autonomous robots, in The Hamlyn Symposium on Medical Robotics, 2014, p. 85

    Google Scholar 

  43. R. Pfeifer, C. Scheier, Understanding Intelligence (MIT Press, Cambridge, 1999)

    Google Scholar 

  44. K. Pitsch, Limits and opportunities for mathematizing communicational conduct for social robotics in the real world? Toward enabling a robot to make use of the human’s competences. AI Soc. 31(4), 587–593 (2016). ISSN:1435-5655. https://doi.org/10.1007/s00146-015-0629-0

  45. A. Prakash, W.A. Rogers, 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). ISSN:1875-4805. https://doi.org/10.1007/s12369-014-0269-4

  46. I. Rae, L. Takayama, B. Mutlu, In-body experiences: embodiment, control, and trust in robot-mediated communication, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (ACM, 2013), pp. 1921–1930

    Google Scholar 

  47. G. Rickheit, I. Wachsmuth, Collaborative Research Centre “Situated Artificial Communicators” at the University of Bielefeld (Springer Netherlands, Dordrecht, 1996), pp. 165–170. ISBN 978-94-009-1716-3. https://doi.org/10.1007/978-94-009-1716-3_2

  48. A. Riegler, When is a cognitive system embodied? Cogn. Syst. Res. special issue on “Situ- ated and Embodied Cognition” 3, 339–348 (2002). http://www.univie.ac.at/constructivism/riegler/24

  49. A.M. Rosenthal-von der Pütten, N.C. Krämer, How design characteristics of robots determine evaluation and uncanny valley related responses. Comput. Hum. Behav. 36, 422–439 (2014)

    Google Scholar 

  50. A.D. Santis, B. Siciliano, A.D. Luca, A. Bicchi, An atlas of physical human-robot interaction. Mech. Mach. Theory 43(3), 253–270 (2008). ISSN:0094-114X. https://doi.org/10.1016/j.mechmachtheory.2007.03.003; http://www.sciencedirect.com/science/article/pii/S0094114X07000547

  51. A.P. Saygin, T. Chaminade, H. Ishiguro, J. Driver, C. Frith, The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions. Soc. Cogn. Affect. Neurosci. 7(4), 413 (2012). https://doi.org/10.1093/scan/nsr025

  52. D.P.A.C. Schultz, W. Adams, E. Marsh, M. Bugajska, Building a multimodal human-robot interface. IEEE Intell. Syst. 16(1), 16–21 (2001)

    Google Scholar 

  53. J. Seyama, R.S. Nagayama, The uncanny valley: effect of realism on the impression of artificial human faces. Presence 16(4), 337–351 (2007). ISSN:1054-7460. https://doi.org/10.1162/pres.16.4.337

  54. N. Sharkey, T. Ziemke, Life, Mind, and Robots (Springer, Berlin/Heidelberg, 2000). ISBN: 978-3-540-67305-7. https://doi.org/10.1007/10719871_22

  55. M.J. Spivey, K. McRae, M.H. Fischer, A. Cangelosi, L.W. Barsalou, G. Pezzulo, The mechanics of embodiment: a dialog on embodiment and computational modeling. Front. Psychol. 2, 5 (2011). https://doi.org/10.3389/fpsyg.2011.00005. http://eprints.gla.ac.uk/110580/

  56. M. Stapleton, Steps to a “properly embodied” cognitive science. Cogn. Syst. Res. 22–23, 1–11 (2013). ISSN: 1389-0417. https://doi.org/10.1016/j.cogsys.2012.05.001

  57. L.A. Suchman, Plans and Situated Actions: The Problem of Human-machine Communication (Cambridge University Press, New York, 1987). ISBN:0-521-33137-4

    Google Scholar 

  58. J. von Uexküll, The Theory of Meaning, 2009, pp. 25–79. ISBN:0037-1998. https://doi.org/10.1515/semi.1982.42.1.25

  59. J. Wainer, D. Feil-Seifer, D.A. Shell, M. Matarić, The role of physical embodiment in human-robot interaction, in IEEE Proceedings of the International Workshop on Robot and Human Interactive Communication (RO-MAN), Hatfield, Sept 2006, pp. 117–122. https://doi.org/10.1109/ROMAN.2006.314404

    Google Scholar 

  60. J. Wainer, D. Feil-Seifer, D.A. Shell, M. Matarić, Embodiment and human-robot interaction: a task-based perspective, in IEEE Proceedings of the International Workshop on Robot and Human Interactive Communication (RO-MAN), Jeju Island, Aug 2007, pp. 872–877. https://doi.org/10.1109/ROMAN.2007.4415207

    Google Scholar 

  61. M. Wilson, Six views of embodied cognition. Psychon. Bull. Rev. 9(4), 625–636 (2002). ISSN:1531-5320. https://doi.org/10.3758/BF03196322

    Article  Google Scholar 

  62. K. Zivin, A. Sen, M.A. Plegue, M.L. Maciejewski, M.L. Segar, M. AuYoung, E.M. Miller, C.A. Janney, D.M. Zulman, C.R. Richardson, Comparative effectiveness of wellness programs: impact of incentives on healthcare costs for obese enrollees. Am. J. Prev. Med. 52(3), 347–352 (2016)

    Article  Google Scholar 

  63. J. Złotowski, E. Strasser, C. Bartneck, Dimensions of anthropomorphism: from humanness to humanlikeness, in Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction, HRI’14, New York (ACM, 2014), pp. 66–73. ISBN:978-1-4503-2658-2. http://doi.acm.org/10.1145/2559636.2559679

Download references

Acknowledgements

The authors would like to acknowledge the financial support of this work by Office of Naval Research (ONR) award #N00014-16-1-2312 and the UNR Provost’s Office (New Scholarly Endevour).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Feil-Seifer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media B.V.

About this entry

Cite this entry

Miller, B., Feil-Seifer, D. (2017). Embodiment, Situatedness, and Morphology for Humanoid Robots Interacting with People. In: Goswami, A., Vadakkepat, P. (eds) Humanoid Robotics: A Reference. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7194-9_130-1

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-7194-9_130-1

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7194-9

  • Online ISBN: 978-94-007-7194-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics