MATCHING COMMUNICATION WITH CHATGPT: AN INNOVATIVE SOLUTION TO MAINTAIN HARMONIOUS RELATIONSHIPS BETWEEN CLOSE FRIENDS

Authors

  • Joy Lasmita Siregar Universitas Negeri Medan Author
  • Sophia Tithania Sitorus Universitas Negeri Medan Author
  • Rita Hartati Universitas Negeri Medan Author

Keywords:

Chatgpt, Matching Communication, Interpersonal Communication, Friendship, Digital Communication

Abstract

This study examined the role of ChatGPT, an AI-powered language model, in supporting harmonious communication among close friends through the application of Matching Communication techniques derived from Neuro-Linguistic Programming (NLP). A quantitative method was used to collect data from 25 university students who actively used ChatGPT in their digital communication. The research focused on key aspects such as message clarity, emotional expression, tone adjustment, and conflict resolution. Results showed that ChatGPT enabled users to articulate their messages more clearly, adjust their language to match their conversational partner’s style, and manage conflicts more effectively. Most participants agreed that aligning communication styles increased comfort in conversations and helped reduce misunderstandings. However, while ChatGPT was perceived as a valuable aid, it was not considered a replacement for face-to-face communication, which remains essential for emotional depth and relational authenticity. This study concluded that ChatGPT, when used with awareness and intention, can enhance interpersonal communication by supporting empathy and clarity, but must be complemented by real human interaction to sustain meaningful relationships.

Downloads

Download data is not yet available.

References

Bender, E. M., & Koller, A. (2020). Climbing towards NLU: On meaning, form, and understanding in the age of data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 5185–5198. https://doi.org/10.18653/v1/2020.acl-main.463

Lin, I. W., Sharma, A., Rytting, C. M., Miner, A. S., Suh, J., & Althoff, T. (2024). IMBUE: Improving interpersonal effectiveness through simulation and just-in-time feedback with human–language model interaction. arXiv. https://doi.org/10.48550/arXiv.2402.12556

Floridi, L., & Chiriatti, M. (2020). Artificial intelligence as a tool for good governance. Communications of the ACM, 63(2), 26–28. https://doi.org/10.1145/3369756

Gnewuch, U., Morana, S., & Maedche, A. (2022). Designing and evaluating chatbot interactions: A systematic review. Information Systems, 81, 1–24. https://doi.org/10.1016/j.is.2018.01.006

Hartati, R., Meisuri, Ginting, S. A., & Ariatna. (2024). Menguasai komunikasi dengan NLP: Membuka kekuatan soft skill. GETPRESS Indonesia.

Hartati, R., Meisuri, Ginting, S. A., & Ariatna. (2023). Tertiary students' deficiency in English emphatic listening skills of NLP matching and mirroring technique. Southeast Asia Language Teaching and Learning (SALTeL) Journal, 6(2), 1–8. https://doi.org/10.35307/saltel.v6i2.110

Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30–41. https://doi.org/10.1177/1094670520902266

Lopes, P. N., Salovey, P., & Strauss, R. (2021). Emotional intelligence: Theoretical and practical implications. Psychological Inquiry, 32(4), 332–349. https://doi.org/10.1080/1047840X.2021.1891313

Singh, R., & Ahmad, N. (2020). Enhancing social interactions through matching and mirroring: A neuro-linguistic programming perspective. International Journal of Behavioral Science, 15(1), 45–58. https://doi.org/10.3249/ijbs.2020.15.1.045

Welivita, A., & Pu, P. (2024). Is ChatGPT more empathetic than humans? arXiv. https://doi.org/10.48550/arXiv.2403.05572

Downloads

Published

03-09-2025

Issue

Section

Articles