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인공지능 기반 사회적 지지를 위한 대형언어모형의 공감적 추론 향상: 심리치료 모형을 중심으로
Enhancing Empathic Reasoning of Large Language Models Based on Psychotherapy Models for AI-assisted Social Support 원문보기

인지과학 = Korean journal of cognitive science, v.35 no.1, 2024년, pp.23 - 48  

이윤경 (서울대학교 심리학과) ,  이인주 (서울대학교 심리학과) ,  신민정 (서울대학교 협동과정 인지과학전공) ,  배서연 (서울대학교 심리학과) ,  한소원 (서울대학교 심리학과)

초록
AI-Helper 아이콘AI-Helper

대형언어모형(LLM)을 현실에 적용하려는 지속적인 노력에도 불구하고, 인공지능이 맥락을 이해하고 사람의 의도에 맞게 사회적 지지를 제공하는 능력은 아직 제한적이다. 본 연구에서는 LLM이 사람의 감정 상태를 추론하도록 유도하기 위해, 심리 치료 이론을 기반으로 한 공감 체인(Chain of Empathy, CoE) 프롬프트 방법을 새로 개발했다. CoE 기반 LLM은 인지-행동 치료(CBT), 변증법적 행동 치료(DBT), 인간 중심 치료(PCT) 및 현실 치료(RT)와 같은 다양한 심리 치료 방식을 참고하였으며, 각 방식의 목적에 맞게 내담자의 정신 상태를 해석하도록 설계했다. CoE 기반 추론을 유도하지 않은 조건에서는 LLM이 사회적 지지를 구하는 내담자의 글에 주로 탐색적 공감 표현(예: 개방형 질문)만을 생성했으며, 추론을 유도한 조건에서는 각 심리 치료 모형을 대표하는 정신 상태 추론 방법과 일치하는 다양한 공감 표현을 생성했다. 공감 표현 분류 과제에서 CBT 기반 CoE는 감정적 반응, 탐색, 해석 등을 가장 균형적으로 분류하였으나, DBT 및 PCT 기반 CoE는 감정적 반응 공감 표현을 더 잘 분류하였다. 추가로, 각 프롬프트 조건 별로 생성된 텍스트 데이터를 정성적으로 분석하고 정렬 정확도를 평가하였다. 본 연구의 결과는 감정 및 맥락 이해가 인간-인공지능 의사소통에 미치는 영향에 대한 함의를 제공한다. 특히 인공지능이 안전하고 공감적으로 인간과 소통하는 데 있어 추론 방식이 중요하다는 근거를 제공하며, 이러한 추론 능력을 높이는 데 심리학의 이론이 인공지능의 발전과 활용에 기여할 수 있음을 시사한다.

Abstract ▼ AI-Helper 아이콘AI-Helper

Building human-aligned artificial intelligence (AI) for social support remains challenging despite the advancement of Large Language Models. We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce LLMs to reason about human emotional state...

주제어

#공감   #인공지능 기반 사회적 지지   #대형언어모형   #자연어처리   #인지적 AI  

참고문헌 (84)

  1. Ahn, Y., Zhang, Y., Park, Y., & Lee, J. (2020). A chatbot solution to chat app problems: Envisioning a chatbot counseling system for teenage victims of online sexual exploitation. Extended Abstracts of the？2020 CHI Conference on Human Factors in Computing Systems, 1-7. 

  2. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.).？American Psychiatric Publishing, Inc. 

  3. Anderson, C., & Keltner, D. (2002). The role of empathy in the formation and maintenance of social？bonds. Behavioral and Brain Sciences, 25(1), 21-22. 

  4. Arab, A., & Khodabakhshi-Koolaee, A. (2022). The magic of WDEP in reality therapy: Improving？intimacy needs and personal communication in married males. European Journal of Psychology Open, 81(3), 97-103. 

    상세보기

  5. Asada, M. (2015). Towards artificial empathy: how can artificial empathy follow the developmental pathway？of natural empathy?. International Journal of Social Robotics, 7, 19-33. 

    상세보기

  6. Ayers, J. W., Poliak, A., Dredze, M., Leas, E. C., Zhu, Z., Kelley, J. B., ... & Smith, D. M. (2023).？Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA internal medicine. 

  7. Beck, A. T. (1976). Cognitive therapy and the emotional disorders. Oxford, England: International University？Press. 

  8. Brocki, L., Dyer, G. C., Gladka, A., & Chung, N. C. (2023). Deep learning mental health dialogue？system. 2023 IEEE International Conference on Big Data and Smart Computing (BigComp), 395-398. 

  9. Bommarito II, M., & Katz, D. M. (2022). GPT takes the bar exam. arXiv preprint arXiv:2212.14402. 

  10. Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., ... & Liang, P. (2021). On？the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258. 

  11. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P.,？Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh,？A., Ziegler, D. M., Wu, J., Winter, C., ... & Amodei, D. (2020). Language models are few-shot？learners. arXiv preprint arXiv:2005.14165. 

  12. Buechel, S., Buffone, A., Slaff, B., Ungar, L., & Sedoc, J. (2018). Modeling empathy and distress in？reaction to news stories. Proceedings of the 2018 Conference on Empirical Methods in Natural Language？Processing, 4758-4765. 

  13. Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., ... & Zhang, Y. (2023). Sparks of artificial general intelligence: Early experiments with GPT-4. arXiv preprint arXiv:2303.12712. 

  14. Casas, J., Spring, T., Daher, K., Mugellini, E., Khaled, O. A., & Cudre-Mauroux, P. (2021). Enhancing？conversational agents with empathic abilities. Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, Online, 41-47. 

  15. Charrier, L., Rieger, A., Galdeano, A., Cordier, A., Lefort, M., & Hassas, S. (2019). The rope scale: a measure of how empathic a robot is perceived. 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 656-657. 

  16. Concannon, S., & Tomalin, M. (2023). Measuring perceived empathy in dialogue systems. AI & SOCIETY, 1-15. 

  17. Cooper, M., & McLeod, J. (2011). Person-centered therapy: A pluralistic perspective. Person-Centered &？Experiential Psychotherapies, 10(3), 210-223. 

    상세보기

  18. Davis, M. A. (1980). A multidimensional approach to individual differences in empathy. JSAS Catalogue of？Selected Documents in Psychology, 10, 85. 

  19. Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional？approach. Journal of Personality and Social Psychology, 44, 113-126. 

  20. De Vignemont, F., & Singer, T. (2006). The empathic brain: how, when and why?. Trends in Cognitive？Sciences, 10(10), 435-441. 

    상세보기

  21. Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional？transformers for language understanding. arXiv preprint arXiv:1810.04805. 

  22. Diehl, J. J., Schmitt, L. M., Villano, M., & Crowell, C. R. (2012). The clinical use of robots for？individuals with autism spectrum disorders: A critical review. Research in Autism Spectrum Disorders, 6(1),？249-262. 

    상세보기

  23. Eisenberg, N. (2014). Altruistic emotion, cognition, and behavior (PLE: Emotion). Psychology Press. 

  24. Ekman, P., & Friesen, W. V. (1971). Constants across cultures in the face and emotion. Journal of？Personality and Social Psychology, 17(2), 124-129. 

    상세보기

  25. Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young？adults with symptoms of depression and anxiety using a fully automated conversational agent？(Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19. 

    상세보기

  26. Gabriel, I. (2020). Artificial Intelligence, values, and alignment. Minds and Machines, 30(3), 411-437. 

    상세보기

  27. Glasser, W. (1965). Reality therapy. New York: Harper & Row. 

  28. Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., ... & Ahmed, N. K.？(2023). Bias and fairness in large language models: A survey. arxiv preprint arXiv:2309.00770. 

  29. Gottlieb, S., & Silvis, L. (2023). How to safely integrate large language models Into health care. JAMA？Health Forum, 4(9), e233909. 

  30. Gruschka, F., Lahnala, A., Welch, C., & Flek, L. (2023). Domain transfer for empathy, distress, and？personality prediction. Proceedings of the 13th Workshop on Computational Approaches to Subjectivity,？Sentiment, & Social Media Analysis, Canada, 553-557. 

  31. Hall, J. A., & Schwartz, R. (2019). Empathy present and future. The Journal of Social Psychology, 159(3),？225-243. 

    상세보기

  32. Herrera, F., Bailenson, J., Weisz, E., Ogle, E., & Zaki, J. (2018). Building long-term empathy: A？large-scale comparison of traditional and virtual reality perspective-taking. PloS one, 13(10), e0204494. 

    상세보기

  33. Hofmann, S. G., Sawyer, A. T., & Fang, A. (2010). The empirical status of the "new wave" of cognitive？behavioral therapy. Psychiatric Clinics, 33(3), 701-710. 

  34. Inkster, B., Sarda, S., & Subramanian, V. (2018). An empathy-driven, conversational artificial intelligence？agent (Wysa) for digital mental well-being: Real-world data evaluation mixed-methods study. JMIR？mHealth and uHealth, 6(11), e12106. 

  35. Kaczkurkin, A. N., & Foa, E. B. (2022). Cognitive-behavioral therapy for anxiety disorders: an update on the empirical evidence. Dialogues in Clinical Neuroscience, 17(3) 337-346. 

  36. Kojima, T., Gu, S. S., Reid, M., Matsuo, Y., & Iwasawa, Y. (2022). Large language models are zero-shot reasoners. arXiv preprint arXiv:2205.11916. 

  37. Knutson, D., & Koch, J. M. (2022). Person-centered therapy as applied to work with transgender and？gender diverse clients. Journal of Humanistic Psychology, 62(1), 104-122. 

    상세보기

  38. Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press. 

  39. Lee, B., & Yi, M. Y. (2023). Understanding the empathetic reactivity of conversational agents: Measure？development and validation. International Journal of Human-Computer Interaction, 1-19. 

  40. Li, Y., Lin, Z., Zhang, S., Fu, Q., Chen, B., Lou, J. G., & Chen, W. (2023). Making language models？better reasoners with step-aware verifier. Proceedings of the 61st Annual Meeting of the Association for？Computational Linguistics, 1, 5315-5333. 

  41. Linehan, M. M. (1987). Dialectical behavioral therapy: A cognitive behavioral approach to parasuicide.？Journal of Personality Disorders, 1(4), 328-333. 

    상세보기

  42. Linehan, M. M., Armstrong, H. E., Suarez, A., Allmon, D., & Heard, H. L. (1991). Cognitive-behavioral？treatment of chronically parasuicidal borderline patients. Archives of General Psychiatry, 48(12),？1060-1064. 

    상세보기

  43. Medeiros, L., Bosse, T., & Gerritsen, C. (2021). Can a chatbot comfort humans? Studying the impact of a supportive chatbot on users' self-perceived stress. IEEE Transactions on Human-Machine Systems, 52(3), 343-353. 

  44. Mehta, A., Niles, A. N., Vargas, J. H., Marafon, T., Couto, D. D., & Gross, J. J. (2021). Acceptability？and Effectiveness of Artificial Intelligence Therapy for Anxiety and Depression (Youper): Longitudinal？Observational Study. Journal of Medical Internet Research, 23(6), e26771. 

    상세보기

  45. Miller, W. R., & Rollnick, S. (2012). Motivational interviewing: Helping people change and grow. Guilford press. 

  46. Momennejad, I., Hasanbeig, H., Vieira, F., Sharma, H., Ness, R. O., Jojic, N., Palangi, H., & Larson, J.？(2023). Evaluating cognitive maps and planning in large language models with CogEval. arXiv preprint？arXiv:2309.15129. 

  47. Neff, K. (2003). Self-compassion: An alternative conceptualization of a healthy attitude toward oneself. Self？and Identity, 2(2), 85-101. 

    상세보기

  48. Nori, H., King, N., McKinney, S. M., Carignan, D., & Horvitz, E. (2023). Capabilities of gpt-4 on medical challenge problems. arXiv preprint arXiv:2303.13375. 

  49. Nwosu, A., Boardman, S., Husain, M. M., & Doraiswamy, P. M. (2022). Digital therapeutics for mental？health: Is attrition the Achilles heel?. Frontiers in Psychiatry, 13, 900615. 

    상세보기

  50. Paiva, A., Leite, I., Boukricha, H., & Wachsmuth, I. (2017). Empathy in virtual agents and robots: A？survey. ACM Transactions on Interactive Intelligent Systems (TiiS), 7(3), 1-40. 

  51. Powers, D. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness &？Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. 

  52. Prystawski, B., Thibodeau, P., Potts, C., & Goodman, N. D. (2022). Psychologically-informed？chain-of-thought prompts for metaphor understanding in large language models. arXiv preprint？arXiv:2209.08141. 

  53. Qiu, L., Jiang, L., Lu, X., Sclar, M., Pyatkin, V., Bhagavatula, C., ... & Ren, X. (2023). Phenomenal Yet？Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.？arXiv preprint arXiv:2310.08559. 

  54. Rashkin, H., Smith, E. M., Li, M., & Boureau, Y. L. (2018). Towards empathic Open-domain？Conversation Models: a New Benchmark and Dataset. arXiv preprint arXiv:1811.00207. 

  55. Rasouli, S., Gupta, G., Nilsen, E., & Dautenhahn, K. (2022). Potential applications of social robots in？robot-assisted interventions for social anxiety. International Journal of Social Robotics, 14(5), 1-32. 

    상세보기

  56. Rogers, C. R. (1957). The necessary and sufficient conditions of therapeutic personality change. Journal of？Consulting Psychology, 21(2), 95. 

    상세보기

  57. Scherer, K. R., Banse, R., & Wallbott, H. G. (2001). Emotion inferences from vocal expression correlate across languages and cultures. Journal of Cross-cultural Psychology, 32(1), 76-92. 

    상세보기

  58. Sharma, A., Miner, A., Atkins, D., & Althoff, T. (2020). A computational approach to understanding empathy expressed in text-based mental health support. Proceedings of the 2020 Conference on Empirical？Methods in Natural Language Processing (EMNLP), Online, 5263-5276. 

  59. Simon, N., & Muise, C. (2022). TattleTale: Storytelling with Planning and Large Language Models. ICAPS？Workshop on Scheduling and Planning Applications. 

  60. Singhal, K., Azizi, S., Tu, T., Mahdavi, S. S., Wei, J., Chung, H. W., ... & Natarajan, V. (2023). Large？language models encode clinical knowledge. Nature, 620(7972), 172-180. 

  61. Sivarajkumar, S., Kelley, M., Samolyk-Mazzanti, A., Visweswaran, S., & Wang, Y. (2023). An empirical？evaluation of prompting strategies for large language models in zero-shot clinical natural language？processing. arXiv preprint arXiv:2309.08008. 

  62. Ta, V., Griffith, C., Boatfield, C., Wang, X., Civitello, M., Bader, H., ... & Loggarakis, A. (2020). User？experiences of social support from companion chatbots in everyday contexts: thematic analysis. Journal？of Medical Internet Research, 22(3), e16235. 

  63. Taori, R., Gulrajani, I., Zhang, T., Dubois, Y., Li, X., Guestrin, C., Liang, P., & Hashimoto, T. B.？(2023). Alpaca: A strong, replicable instruction-following model. Stanford Center for Research on Foundation Models. https://crfm.stanford.edu/2023/03/13/alpaca.html. 

  64. Tharwat, A. (2020). Classification assessment methods. Applied computing and informatics, 17(1), 168-192. 

  65. Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M. A., Lacroix, T., ... & Lample, G. (2023a).？Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971. 

  66. Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., ... & Scialom, T. (2023b).？Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288. 

  67. Truax, C. B., & Carkhuff, R. (2007). Toward effective counseling and psychotherapy: Training and practice. Transaction Publishers. 

  68. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59, 433-460. 

  69. Urakami, J., Moore, B. A., Sutthithatip, S., & Park, S. (2019). Users' perception of empathic expressions？by an advanced intelligent system. Proceedings of the 7th International Conference on Human-Agent？Interaction, Japan, 11-18. 

  70. Wang, L., Wang, D., Tian, F., Peng, Z., Fan, X., Zhang, Z., Yu, M., Ma, X., & Wang, H. (2021).？Cass: Towards building a social-support chatbot for online health community. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-31. 

  71. Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q., & Zhou, D. (2022).？Chain-of-thought prompting elicits reasoning in large language models. arXiv preprint？arXiv:2201.11903. 

  72. Weisberg, O., Daniels, S., & Bar-Kalifa, E. (2023). Emotional expression and empathy in an online peer support platform. Journal of Counseling Psychology, 70(6), 671. 

    상세보기

  73. Welivita, A., Xie, Y., & Pu, P. (2021). A large-scale dataset for empathic response generation. Proceedings？of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online and？Dominican Republic, 1251-1264. 

  74. West, P., Lu, X., Dziri, N., Brahman, F., Li, L., Hwang, J. D., ... & Choi, Y. (2023). The generative AI？paradox:"What it can create, it may not understand". arXiv preprint arXiv:2311.00059. 

  75. Wondra, J. D., & Ellsworth, P. C. (2015). An appraisal theory of empathy and other vicarious emotional？experiences. Psychological Review, 122(3), 411-428. 

  76. Wubbolding, R. E., Casstevens, W. J., & Fulkerson, M. H. (2017). Using the WDEP system of Reality？Therapy to support person-centered treatment planning. Journal of Counseling & Development, 95(4),？472-477. 

    상세보기

  77. Xie, B., & Park, C. H. (2021). Empathic robot with transformer-based dialogue agent. 2021 18th？International Conference on Ubiquitous Robots (UR), Korea, 290-295. 

  78. Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T. L., Cao, Y., & Narasimhan, K. (2023). Tree of？thoughts: Deliberate problem solving with large language models. arXiv preprint arXiv:2305.10601. 

  79. Yuan, A., Coenen, A., Reif, E., & Ippolito, D. (2022). Wordcraft: story writing with large language？models. 27th International Conference on Intelligent User Interfaces, Finland, 841-852. 

  80. Yongsatianchot, N., Torshizi, P. G., & Marsella, S. (2023). Investigating large language models' perception？of emotion using appraisal theory. arXiv preprint arXiv:2310.04450. 

  81. Zaki, J. (2019). The war for kindness: Building empathy in a fractured world. Crown. 

  82. Zhang, S. J., Florin, S., Lee, A. N., Niknafs, E., Marginean, A., Wang, A., ... & Drori, I. (2023).？Exploring the MIT mathematics and EECS curriculum using large language models. arXiv preprint？arXiv:2306.08997. 

  83. Zhao, Z., Song, S., Duah, B., Macbeth, J., Carter, S., Van, M. P., ... & Filipowicz, A. L. (2023). More？human than human: LLM-generated narratives outperform human-LLM interleaved narratives. Proceedings？of the 15th Conference on Creativity and Cognition, Online, 368-370. 

  84. Zhou, L., Gao, J., Li, D., & Shum, H. Y. (2020). The design and implementation of xiaoice, an empathic？social chatbot. Computational Linguistics, 46(1), 53-93. 

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AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

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