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Aug 16, 2024;27 (8): 110570.

Pain recognition and pain empathy from a human-centered AI perspective.

Siqi Cao, Di Fu, Xu Yang, Stefan Wermter, Xun Liu, Haiyan Wu
Author Information
  1. Siqi Cao: CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
  2. Di Fu: School of Psychology, University of Surrey, Guildford, UK.
  3. Xu Yang: State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  4. Stefan Wermter: Department of Informatics, University of Hamburg, Hamburg, Germany.
  5. Xun Liu: CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
  6. Haiyan Wu: Centre for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, Macau.
PMID: 39211548 DOI: 10.1016/j.isci.2024.110570

Abstract

Sensory and emotional experiences are essential for mental and physical well-being, especially within the realm of psychiatry. This article highlights recent advances in cognitive neuroscience, emphasizing the significance of pain recognition and empathic artificial intelligence (AI) in healthcare. We provide an overview of the recent development process in computational pain recognition and cognitive neuroscience regarding the mechanisms of pain and empathy. Through a comprehensive discussion, the article delves into critical questions such as the methodologies for AI in recognizing pain from diverse sources of information, the necessity for AI to exhibit empathic responses, and the associated advantages and obstacles linked with the development of empathic AI. Moreover, insights into the prospects and challenges are emphasized in relation to fostering artificial empathy. By delineating potential pathways for future research, the article aims to contribute to developing effective assistants equipped with empathic capabilities, thereby introducing safe and meaningful interactions between humans and AI, particularly in the context of mental health and psychiatry.

Keywords

Applied sciences Cognitive neuroscience Social sciences

References

  1. Front Psychol. 2023 Jan 17;13:971044 [PMID: 36733854]
  2. Trends Cogn Sci. 2021 May;25(5):365-376 [PMID: 33509733]
  3. Annu Rev Psychol. 2024 Jan 18;75:653-675 [PMID: 37722750]
  4. Psychol Rev. 1954 Mar;61(2):81-8 [PMID: 13155714]
  5. Biopsychosoc Med. 2007 Nov 16;1:22 [PMID: 18021398]
  6. PLoS One. 2018 Feb 14;13(2):e0192767 [PMID: 29444153]
  7. Neuroimage. 2020 Jul 15;215:116814 [PMID: 32276073]
  8. IEEE Robot Autom Mag. 2019 Jun;26(2):40-48 [PMID: 34887653]
  9. Psychol Sci. 2014 Nov;25(11):2079-85 [PMID: 25193943]
  10. Pain. 2008 Oct 15;139(2):267-274 [PMID: 18502049]
  11. Annu Rev Psychol. 2008;59:279-300 [PMID: 17550343]
  12. Br J Gen Pract. 2013 Jan;63(606):e76-84 [PMID: 23336477]
  13. Front Integr Neurosci. 2020 Feb 27;14:10 [PMID: 32174816]
  14. Bioengineering (Basel). 2023 May 02;10(5): [PMID: 37237618]
  15. Science. 2021 Jan 8;371(6525):153-159 [PMID: 33414216]
  16. Heliyon. 2021 May 12;7(5):e06993 [PMID: 34036191]
  17. J Vis Exp. 2019 Apr 5;(146): [PMID: 31009005]
  18. Neural Comput. 1995 Nov;7(6):1129-59 [PMID: 7584893]
  19. PLoS One. 2013 Dec 09;8(12):e83277 [PMID: 24349479]
  20. J Consult Psychol. 1957 Apr;21(2):95-103 [PMID: 13416422]
  21. Neurosci Biobehav Rev. 2010 Mar;34(4):500-12 [PMID: 19857517]
  22. Eur J Pain. 2019 May;23(5):936-944 [PMID: 30620147]
  23. J Exp Psychol Gen. 2019 Jun;148(6):962-976 [PMID: 30998038]
  24. PLoS One. 2015 Oct 16;10(10):e0140330 [PMID: 26474183]
  25. Am J Orthopsychiatry. 2008 Jul;78(3):267-80 [PMID: 19123746]
  26. Neurosci Biobehav Rev. 2017 Apr;75:104-113 [PMID: 28159611]
  27. Neuron. 2009 Jan 29;61(2):203-12 [PMID: 19186163]
  28. Lancet. 2021 May 29;397(10289):2111-2124 [PMID: 34062145]
  29. Neuron. 2009 Dec 24;64(6):910-21 [PMID: 20064396]
  30. Psychol Sci. 2023 Nov;34(11):1206-1219 [PMID: 37737148]
  31. Acad Psychiatry. 2023 Dec;47(6):587-588 [PMID: 37770703]
  32. Neuroimage. 2015 Jan 15;105:347-56 [PMID: 25462694]
  33. Neurosci Biobehav Rev. 2018 Dec;95:499-507 [PMID: 30399356]
  34. Pain Res Manag. 2023 Jun 28;2023:6018736 [PMID: 37416623]
  35. Neuron. 2017 Jul 19;95(2):245-258 [PMID: 28728020]
  36. Nature. 2006 Jan 26;439(7075):466-9 [PMID: 16421576]
  37. Neuroimage. 2005 Feb 1;24(3):771-9 [PMID: 15652312]
  38. JMIR Ment Health. 2017 Jun 06;4(2):e19 [PMID: 28588005]
  39. Pain. 2020 Sep 1;161(9):1976-1982 [PMID: 32694387]
  40. Pain Pract. 2016 Mar;16(3):320-6 [PMID: 25581306]
  41. Trends Cogn Sci. 2007 Dec;11(12):535-43 [PMID: 17997124]
  42. Annu Rev Neurosci. 2004;27:169-92 [PMID: 15217330]
  43. JAMA Intern Med. 2022 Sep 1;182(9):975-983 [PMID: 35939288]
  44. Front Hum Neurosci. 2024 Apr 10;18:1376338 [PMID: 38660009]
  45. Cogn Psychol. 2013 Feb;66(1):55-84 [PMID: 23099291]
  46. Neuroimage Clin. 2020;28:102454 [PMID: 33065472]
  47. Curr Biol. 2020 Oct 19;30(20):3935-3944.e7 [PMID: 32795441]
  48. Elife. 2016 Jun 14;5: [PMID: 27296895]
  49. Hum Brain Mapp. 2019 Aug 1;40(11):3222-3232 [PMID: 30950151]
  50. Neurosci Res. 2015 Jan;90:41-50 [PMID: 25498950]
  51. Eur J Pain. 2017 Jul;21(6):955-964 [PMID: 28230292]
  52. Proc Natl Acad Sci U S A. 2020 Nov 3;117(44):27719-27730 [PMID: 33055212]
  53. Pain Med. 2020 Sep 1;21(9):1847-1862 [PMID: 32044980]
  54. Nature. 2003 Oct 23;425(6960):785-91 [PMID: 14574401]
  55. Pers Soc Psychol Rev. 2013 May;17(2):142-57 [PMID: 23348982]
  56. Behav Brain Sci. 2002 Aug;25(4):439-55; discussion 455-88 [PMID: 12879700]
  57. Science. 2006 Jun 30;312(5782):1967-70 [PMID: 16809545]
  58. Can J Psychiatry. 2019 Jul;64(7):456-464 [PMID: 30897957]
  59. Neuroimage. 2021 Sep;238:118249 [PMID: 34116146]
  60. Proc Biol Sci. 2020 Jan 29;287(1919):20192241 [PMID: 31964306]
  61. Hum Brain Mapp. 2015 Jan;36(1):324-39 [PMID: 25220190]
  62. Brain Res Cogn Brain Res. 2005 Sep;25(1):188-94 [PMID: 15963702]
  63. Science. 2009 Feb 13;323(5916):890-1 [PMID: 19213907]
  64. J Neurosci. 2011 Sep 7;31(36):12906-15 [PMID: 21900569]
  65. Eur J Pain. 2019 May;23(5):1006-1019 [PMID: 30697949]
  66. J Pain. 2020 Mar - Apr;21(3-4):334-346 [PMID: 31351966]
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