Cited by 12Social Robot Interaction and HRIPhilosophy and Theoretical ScienceCybernetics and Technology in Society

Anthropomorphizing Machines: Reality or Popular Myth?

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Coghlan, Simon·2024·Minds and Machines

Abstract

According to a widespread view, people often anthropomorphize machines such as certain robots and computer and AI systems by erroneously attributing mental states to them. On this view, people almost irresistibly believe, even if only subconsciously, that machines with certain human-like features really have phenomenal or subjective experiences like sadness, happiness, desire, pain, joy, and distress, even though they lack such feelings. This paper questions this view by critiquing common arguments used to support it and by suggesting an alternative explanation. Even if people’s behavior and language regarding human-like machines suggests they believe those machines really have mental states, it is possible that they do not believe that at all. The paper also briefly discusses potential implications of regarding such anthropomorphism as a popular myth. The exercise illuminates the difficult concept of anthropomorphism, helping to clarify possible human relations with or toward machines that increasingly resemble humans and animals.

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  • When chatbot users ascribe feelings, understanding, or consciousness to a chatbot, they may treat the relevant proposition as true in their imagination-a domain of cognition-to make interactions with the system more enjoyable.

    “Moving from merely practically committal consciousness attributions to cases when such attributions rest on an at least partially epistemically committal attitude, when chatbot users ascribe feelings, understanding, or consciousness to a chatbot (e.g., Replika), they may treat the relevant proposition as true in their imagination -a domain of cognition -to make interactions with the system more en”

    From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Coghlan, 2024

    Section 5, “Questioning the A-Claim” (page unavailable), allows that imaginative suspension of disbelief may apply to some machines, but says it is less apt for many cases. Section 5.4 discusses imagining a robot’s feelings without believing them, while Section 2 mentions Replika; neither passage says chatbot users imagine such propositions to make interactions more enjoyable. (LLM, conf=0.78)

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  1. Airenti, G. (2018). The development of anthropomorphism in interaction: Intersubjectivity, imagination, and theory of mind. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02136. · DOI · Paper page
  2. Andrews, K. (2015). A role for folk psychology in animal cognition research. Experimentation Collection, 66. https://doi.org/10.2307/j.ctv2nrzh43. · DOI
  3. Bartneck, C., & Hu, J. (2008). Exploring the abuse of robots. Interaction Studies, 9(3), 415–433.
  4. Blum, L. A. (1994). Moral perception and particularity. Cambridge University Press.
  5. Boden, M., Bryson, J., Caldwell, D., Dautenhahn, K., Edwards, L., Kember, S., et al. (2017). Principles of robotics: Regulating robots in the real world. Connection Science, 29(2), 124–129.
  6. Breazeal, C. (2003). Toward sociable robots. Robotics and Autonomous Systems, 42(3), 167–175. https://doi.org/10.1016/S0921-8890(02)00373-1. · DOI
  7. Bruni, D., Perconti, P., & Plebe, A. (2018). Anti-anthropomorphism and its limits. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02205. · DOI
  8. Bryson, J. J. (2010). Robots should be slaves. In Y. Wilks (Ed.), Close engagements with artificial companions: key social, psychological, ethical and design issues (Vol. 8, pp. 63–74). John Benjamins Publishing Company. https://doi.org/10.1075/nlp.8.11bry. · DOI · Paper page
  9. Coeckelbergh, M. (2012). Are emotional robots deceptive? IEEE Transactions on Affective Computing, 3(4), 388–393. https://doi.org/10.1109/T-AFFC.2011.29. Presented at the IEEE Transactions on Affective Computing. · DOI
  10. Coeckelbergh, M. (2021). Three responses to anthropomorphism in social robotics: Towards a critical, relational, and hermeneutic approach. Int J of Soc Robotics. https://doi.org/10.1007/s12369-021-00770-0. · DOI
  11. Coeckelbergh, M., & Gunkel, D. J. (2014). Facing animals: A relational, other-oriented approach to moral standing. Journal of Agricultural and Environmental Ethics, 27(5), 715–733. https://doi.org/10.1007/s10806-013-9486-3. · DOI
  12. Coghlan, S., Vetere, F., Waycott, J., & Barbosa Neves, B. (2019). Could social robots make us kinder or crueller to humans and animals? International Journal of Social Robotics, 11, 741–751. https://doi.org/10.1007/s12369-019-00583-2. · DOI
  13. Damholdt, M. F., Quick, O. S., Seibt, J., Vestergaard, C., & Hansen, M. (2023). A scoping review of HRI research on ‘Anthropomorphism’: Contributions to the method debate in HRI. International Journal of Social Robotics, 15(7), 1203–1226. https://doi.org/10.1007/s12369-023-01014-z. · DOI
  14. Damiano, L., & Dumouchel, P. (2018). Anthropomorphism in human–robot co-evolution. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.00468. · DOI
  15. Danaher, J. (2020). Welcoming robots into the moral circle: A defence of ethical behaviourism. Science and Engineering Ethics, 26(4), 2023–2049. https://doi.org/10.1007/s11948-019-00119-x. · DOI
  16. Darling, K. (2016). Extending legal protection to social robots: The effects of anthropomorphism, empathy, and violent behavior towards robotic objects. In R. Calo, M. Froomkin, & I. Kerr (Eds.), Robot Law (pp. 213–232). Edward Elgar.
  17. Darling, K. (2021). The new breed: How to think about robots. Penguin UK.
  18. Darling, K., Nandy, P., & Breazeal, C. (2015). Empathic concern and the effect of stories in human-robot interaction. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 770–775). Presented at the 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Kobe, Japan: IEEE. https://doi.org/10.1109/ROMAN.2015.7333675. · DOI
  19. Draper, H., & Sorell, T. (2017). Ethical values and social care robots for older people: An international qualitative study. Ethics and Information Technology, 19(1), 49–68. https://doi.org/10.1007/s10676-016-9413-1. · DOI
  20. Duffy, B. R. (2003). Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3–4), 177–190. https://doi.org/10.1016/S0921-8890(02)00374-3. · DOI · Paper page
  21. Duffy, B. R., & Zawieska, K. (2012). Suspension of disbelief in social robotics. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 484–489). Presented at the 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. https://doi.org/10.1109/ROMAN.2012.6343798. · DOI
  22. Flattery, T. (2023). The Kant-inspired indirect argument for non-sentient robot rights. AI and Ethics. https://doi.org/10.1007/s43681-023-00304-6. · DOI
  23. Gaita, R. (2016). The philosopher’s dog. Taylor & Francis.
  24. Gunkel, D. J. (2018). The other question: Can and should robots have rights? Ethics and Information Technology, 20(2), 87–99. https://doi.org/10.1007/s10676-017-9442-4. · DOI
  25. Gunkel, D. J. (2023). Person, thing, robot: A moral and legal ontology for the 21st century and beyond. MIT Press.
  26. Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. The American Journal of Psychology, 57(2), 243–259. https://doi.org/10.2307/1416950. · DOI · Paper page
  27. Horowitz, A. (2009). Disambiguating the guilty look: Salient prompts to a familiar dog behaviour. Behavioural Processes, 81(3), 447–452. https://doi.org/10.1016/j.beproc.2009.03.014. · DOI
  28. Jipson, J. L., & Gelman, S. A. (2007). Robots and rodents: Children’s inferences about living and nonliving kinds. Child Development, 78(6), 1675–1688. https://doi.org/10.1111/j.1467-8624.2007.01095.x. · DOI
  29. Johnson, D. G., & Verdicchio, M. (2018). Why robots should not be treated like animals. Ethics and Information Technology, 20(4), 291–301. https://doi.org/10.1007/s10676-018-9481-5. · DOI
  30. Johnson, D. G., & Verdicchio, M. (2020). Constructing the meaning of humanoid sex robots. International Journal of Social Robotics, 12(2), 415–424.
  31. Kahn, P. H., Friedman, B., & Hagman, J. (2002). I care about him as a pal: conceptions of robotic pets in online AIBO discussion forums. In CHI ’02 Extended Abstracts on Human Factors in Computing Systems (pp. 632–633). Association for Computing Machinery. https://doi.org/10.1145/506443.506519. · DOI
  32. Kaminski, M. E., Rueben, M., Smart, W. D., & Grimm, C. M. (2016). Averting Robot eyes. Maryland Law Review, 76, 983.
  33. Kennedy, J. S. (1992). The new anthropomorphism. Cambridge University Press.
  34. Kiesler, S. (2005). Fostering common ground in human-robot interaction. In ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005. (pp. 729–734). Presented at the ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005. https://doi.org/10.1109/ROMAN.2005.1513866. · DOI
  35. Levillain, F., & Zibetti, E. (2017). Behavioral objects: The rise of the evocative machines. Journal of Human-Robot Interaction, 6(1), 4–24. https://doi.org/10.5898/JHRI.6.1.Levillain. · DOI
  36. Li, M., & Suh, A. (2022). Anthropomorphism in AI-enabled technology: A literature review. Electronic Markets, 32(4), 2245–2275. https://doi.org/10.1007/s12525-022-00591-7. · DOI · Paper page
  37. Melson, G. F., Kahn, P. H. Jr., Beck, A., & Friedman, B. (2009). Robotic pets in human lives: Implications for the human–animal bond and for Human relationships with Personified technologies. Journal of Social Issues, 65(3), 545–567. https://doi.org/10.1111/j.1540-4560.2009.01613.x. · DOI
  38. Morris, P. (2017). Direct perception of animal mind. Animal Sentience, 2(14). https://doi.org/10.51291/2377-7478.1236. · DOI
  39. Nyholm, S., & Frank, L. E. (2019). It Loves Me, It Loves Me Not: Is It Morally Problematic to Design Sex Robots that Appear to Love Their Owners? Techné: Research in Philosophy and Technology, 23(3), 402–424. https://doi.org/10.5840/techne2019122110. · DOI
  40. O’Hara, N. (2023). Primary recognition, morality and AI. AI and Ethics. https://doi.org/10.1007/s43681-023-00340-2. · DOI
  41. Onnasch, L., & Roesler, E. (2019). Anthropomorphizing Robots: The Effect of Framing in Human-Robot Collaboration. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1311–1315. https://doi.org/10.1177/1071181319631209. · DOI
  42. Prescott, T. J. (2017). Robots are not just tools. Connection Science, 29(2), 142–149. https://doi.org/10.1080/09540091.2017.1279125. · DOI
  43. Radford, C. (1975). How can we be moved by the fate of Anna Karenina? Proceedings of the Aristotelian Society, 49(Supplemental), 67–80.
  44. Rodogno, R. (2016). Social robots, fiction, and sentimentality. Ethics and Information Technology, 18(4), 257–268. https://doi.org/10.1007/s10676-015-9371-z. · DOI
  45. Scheutz, M. (2012). The inherent dangers of unidirectional emotional bonds between humans and Social Robots. In K. Abney, P. Lin, & G. A. Kerkey (Eds.), Robot Ethics: The ethical and Social Implications of Robotics (pp. 205–223). MIT Press.
  46. Servais, V. (2018). Anthropomorphism in human–animal interactions: A pragmatist view. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2018.02590. 9. · DOI
  47. Sica, A., & Sætra, H. S. (2023). In Technology We Trust! But Should We? In Human-Computer Interaction (pp. 293–317). Presented at the International Conference on Human-Computer Interaction, Springer, Cham. https://doi.org/10.1007/978-3-031-35599-8_19. · DOI
  48. Sparrow, R. (2002). The March of the robot dogs. Ethics and Information Technology, 4(4), 305–318. https://doi.org/10.1023/A:1021386708994. · DOI
  49. Sparrow, R. (2017). Robots, rape, and representation. International Journal of Social Robotics, 9(4), 465–477. https://doi.org/10.1007/s12369-017-0413-z. · DOI
  50. Sparrow, R. (2021). Virtue and vice in our relationships with robots: Is there an asymmetry and how might it be explained? International Journal of Social Robotics, 13(1), 23–29. https://doi.org/10.1007/s12369-020-00631-2. · DOI
  51. Sparrow, R., & Sparrow, L. (2006). In the hands of machines? The future of aged care. Minds and Machines, 16(2), 141–161. https://doi.org/10.1007/s11023-006-9030-6. · DOI
  52. Sung, J. Y., Guo, L., Grinter, R. E., & Christensen, H. I. (2007). My Roomba is Rambo: Intimate Home Appliances. In J. Krumm, G. D. Abowd, A. Seneviratne, & T. Strang (Eds.), UbiComp 2007: Ubiquitous Computing (Vol. 4717, pp. 145–162). Springer. https://doi.org/10.1007/978-3-540-74853-3_9. · DOI
  53. Sweeney, P. (2021). A fictional dualism model of social robots. Ethics and Information Technology, 23(3), 465–472. https://doi.org/10.1007/s10676-021-09589-9. · DOI
  54. Turkle, S. (2010). In good company? On the threshold of robotic companions. In Y. Wilks (Ed.), Close engagements with artificial companions (pp. 3–10). John Benjamins e-Platform.
  55. Watson, D. (2019). The rhetoric and reality of anthropomorphism in artificial intelligence. Minds and Machines, 29(3), 417–440. https://doi.org/10.1007/s11023-019-09506-6. · DOI · Paper page
  56. Winch, P. (1980). The Presidential Address: Eine Einstellung zur Seele. In Proceedings of the Aristotelian Society (Vol. 81, pp. 1–15). JSTOR.
  57. Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for understanding human social cognition. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1693), 20150375. https://doi.org/10.1098/rstb.2015.0375. · DOI
  58. Zawieska, K., Duffy, B. R., & Strońska, A. (2012). Understanding anthropomorphisation in social robotics. Pomiary Automatyka Robotyka, 16(11), 78–82.
  59. Złotowski, J., Proudfoot, D., Yogeeswaran, K., & Bartneck, C. (2015). Anthropomorphism: Opportunities and challenges in human–robot interaction. International Journal of Social Robotics, 7(3), 347–360. https://doi.org/10.1007/s12369-014-0267-6. · DOI

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Authors
Coghlan, S.
Affiliations
The University of Melbourne (AU)
Corresponding author
Coghlan, Simon
Venue
Minds and Machines
Published
2024-06-20
Volume
34
Issue
3
ISSN
  • 0924-6495 (ISSN-L)
  • 1572-8641
OpenAlex
W4399860463
Cited by
12
References
5
Citations by year
2026: 7 · 2025: 4 · 2024: 1
FWCI
5.73
Type
journal article
Language
en
Open access
Locations
  • Minds and Machines (publishedVersion, cc-by)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
University of Melbourne
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
Keywords
anthropomorphism, machines, robots, artificial intelligence, mental states, phenomenal experience, human-machine relations, human-animal relations, folk psychology

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