Emotional Well-Being and Psychological Support in Infertility A Multi-Modal AI Approach

Ninda Lutfiani; Dhea Ayunanda Astrieta; Viedya Wildan; Hasta Sulistyaningrum; Muhammad Rehan Anwar; Eka Dian Astuti

doi:10.34306/ijcitsm.v5i1.188

Authors

Ninda Lutfiani University of Raharja https://orcid.org/0000-0001-7019-0020
Dhea Ayunanda Astrieta University of Yarsi Pratama
Viedya Wildan University of Yarsi Pratama
Hasta Sulistyaningrum University of Yarsi Pratama
Muhammad Rehan Anwar University of Agriculture Faisalabad
Eka Dian Astuti University of Raharja https://orcid.org/0009-0009-2576-4617

DOI:

https://doi.org/10.34306/ijcitsm.v5i1.188

Keywords:

Artificial Intelligence (AI), Infertility Care, Psychological Support, Multi-Modal AI System, Sentiment Analysis

Abstract

Infertility affects millions of couples worldwide, often leading to significant emotional distress. Despite advancements in medical treatments such as IVF, the psychological challenges associated with infertility remain under-addressed. This study introduces a multi-modal AI system that integrates natural language processing (NLP), sentiment analysis, and voice interaction to provide personalized psychological support for individuals and couples experiencing infertility. A Randomized Controlled Trial (RCT) was conducted with 200 participants, comparing the AI intervention group to a control group receiving standard care. The AI system demonstrated significant reductions in anxiety and depression levels (GAD-7 and PHQ-9), as well as improvements in emotional well-being (PANAS). The intervention group reported higher user satisfaction (85%) and engagement, with participants using the system an average of four times per week. The AI system ability to offer empathetic, real time emotional support was highly rated by users. However, challenges such as cultural sensitivity and voice interaction accuracy were noted. This study highlights the potential of AI in mental health, particularly in addressing the often overlooked psychological needs of individuals facing infertility. The findings suggest that AI-driven solutions can bridge gaps in psychological care by providing scalable, cost-effective, and accessible support. Further research is needed to refine the system capabilities and explore its long-term impact on emotional well-being.

References

G. Buran and B. Toptas¸ Acar, “The effect of social and emotional capacities on coping strategies and stress in infertile individuals,” Current Psychology, vol. 43, pp. 29 984–29 994, 2024.

P. Hadavibavili, Y. H. Bas¸kaya, G. Bayazit, and A. S. Cevrio˘glu, “Women’s emotional roller coasters during pregnancy as a consequence of infertility: A qualitative phenomenological study,” Current Psychology, vol. 43, pp. 24 138–24 148, 2024.

D. P. Lazirkha, J. Hom, and V. Melinda, “Quality analysis of digital business services in improving customer satisfaction,” Startupreneur Business Digital (SABDA Journal), vol. 1, no. 2, pp. 156–166, 2022.

A. Thakkar, A. Gupta, and A. De Sousa, “Artificial intelligence in positive mental health: A narrative review,” Frontiers in Digital Health, vol. 6, 2024.

J. Jones, E. Harris, Y. Febriansah, A. Adiwijaya, and I. N. Hikam, “Ai for sustainable development: Applications in natural resource management, agriculture, and waste management,” International Transactions on Artificial Intelligence, vol. 2, no. 2, pp. 143–149, 2024.

A. Alwiyah, S. N. Husin, P. Padeli, M. Anggaraeni, and S. Sulistiawati, “Alignment of science and technology with islamic principles using quantum theory,” International Journal of Cyber and IT Service Management, vol. 1, no. 1, pp. 115–120, 2021.

A. M. Alhuwaydi, “Exploring the role of artificial intelligence in mental healthcare: Current trends and future directions – a narrative review for a comprehensive insight,” Risk Management and Healthcare Policy, vol. 17, pp. 1–14, 2024.

A. van Oosterzee, “Ai and mental health: Evaluating supervised machine learning models trained on diagnostic classifications,” AI & Society, 2024.

H. T. Sukmana, “Prototyping itsdi journal center menggunakan tools invision untuk mewujudkan creative innovation soft skill di era industri 4.0,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 1, no. 1, pp. 56–69, 2020.

T. Lu, X. Liu, J. Sun, Y. Bao, and B. W. Schuller, “Bridging the gap between artificial intelligence and mental health,” Science Bulletin, vol. 68, no. 13, pp. 1307–1310, 2023.

T. Rochefort and Z. Ndlovu, “Digital marketing strategies in building brand awareness and loyalty in the online era,” Startupreneur Business Digital (SABDA Journal), vol. 3, no. 2, pp. 107–114, 2024.

K. Shimada, “The role of artificial intelligence in mental health: A review,” Science Insights, vol. 35, no. 4, p. 1211, 2023.

F. Liu, Q. Ju, and Q. Zheng, “Artificial intelligence in mental health: Innovations brought by ai techniques in stress detection and interventions of building resilience,” Current Opinion in Behavioral Sciences, vol. 45, pp. 101–106, 2024.

P. Govern, “Artificial intelligence calculates suicide attempt risk at vumc,” https://news.vumc.org/2021/03/15/artificial-intelligence-calculates-suicide-attempt-risk-at-vumc/, 2021.

J. H. G¨unther, “Bekymret for bruken av ki-psykologer: – burde ikke alene tilbys avkommersielle aktører,” https://www.nrk.no/ostfold/bekymret-for-bruken-av-ki-psykologer--burde-ikke-alene-tilbys-av-kommersielle-aktorer-1.16813620, 2024.

L. K. Choi, N. Iftitah, and P. Angela, “Developing technopreneur skills to face future challenges,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 127–135, 2024.

R. Yadav, “Artificial intelligence for mental health: A double-edged sword,” Science Insights, vol. 35,no. 4, p. 1210, 2023.

A. E. Dempsey, G. Nanda, J. Stoddard, and S. Hergert, “An introduction to generative artificial intelligence in mental health care: Considerations and guidance,” Current Psychiatry Reports, vol. 25, no. 1, pp. 14–25, 2023.

N. H. Nik Halina et al., “Worldwide prevalence, risk factors and psychological impact of infertility among women: A systematic review and meta-analysis,” BMJ Open, vol. 12, no. 3, p. e057132, 2022.

T. Ramayah, “Factors influencing the effectiveness of information system governance in higher education institutions (heis) through a partial least squares structural equation modeling (pls-sem) approach,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 100–107, 2024.

D. Marina, N. K. Pandjaitan, N. Hasanah, and G. P. Cesna, “Analysis of lifestyle and consumer attitude towards intention to purchase a personal car during pandemic,” APTISI Transactions on Management (ATM), vol. 7, no. 1, pp. 15–34, 2023.

D. Jonas, E. Maria, I. R. Widiasari, U. Rahardja, T. Wellem et al., “Design of a tam framework with emotional variables in the acceptance of health-based iot in indonesia,” ADI Journal on Recent Innovation, vol. 5, no. 2, pp. 146–154, 2024.

F. E. Putra, M. Khasanah, and M. R. Anwar, “Optimizing stock accuracy with ai and blockchain for better inventory management,” ADI Journal on Recent Innovation, vol. 6, no. 2, pp. 190–200, 2025.

C. Strauss, A. M. Bibby-Jones, F. Jones, S. Byford, M. Heslin, G. Parry, M. Barkham, L. Lea, R. Crane, and R. de Visser, “Clinical effectiveness and cost-effectiveness of supported mindfulness-based cognitive therapy self-help compared with supported cognitive behavioral therapy self-help for adults experiencing depression: The lightmind randomized clinical trial,” JAMA Psychiatry, vol. 80, no. 5, pp. 456–465, 2023.

K. Mirdad, A. R. Dina, and R. Haris, “Analisis tren pasar dan pengambilan keputusan berbasis data dalam meningkatkan daya saing bisnis,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 5, no. 2, pp. 72–80, 2024.

N. Pflueger-Peters, “Using ai to treat teenagers with schizophrenia,” https://cs.ucdavis.edu/news/using-ai-treat-teenagers-schizophrenia, 2020.

M. Annas and S. N. Wahab, “Data mining methods: K-means clustering algorithms,” International Journal of Cyber and IT Service Management, vol. 3, no. 1, pp. 40–47, 2023.

. I. Rahmah, “Langkah pemerintah indonesia dalam mengatasi gangguan mental,” IndonesiaRE, 2024, available at: https://www.indonesiare.com.

U. Rahardja, N. Lutfiani, Q. Aini, and I. Y. Annisa, “The potential utilization of blockchain technology,” Blockchain Frontier Technology, vol. 1, no. 01, pp. 57–67, 2021.

J. T. Moskowitz, E. O. Cheung, M. Freedman, C. Fernando, M. W. Zhang, J. C. Huffman, and E. L. Addington, “Measuring positive emotion outcomes in positive psychology interventions: A literature review,” Emotion Review, vol. 13, no. 1, pp. 60–73, 2021.

A. Leffia, S. A. Anjani, M. Hardini, S. V. Sihotang, and Q. Aini, “Corporate strategies to improve platform economic performance: The role of technology, ethics, and investment management,” CORISINTA, vol. 1, no. 1, pp. 16–25, 2024.

L. Laestadius, A. Bishop, M. Gonzalez, D. Illenˇc´ık, and C. Campos-Castillo, “Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the socialchatbot replika,” New Media & Society, vol. 26, no. 10, pp. 5923–5941, 2024.

L. Parn, T. Mariyanti, A. Widyakto et al., “Optimalisasi e-learning dengan ai adaptif untuk pendidikan inklusif: Optimization of e-learning with adaptive ai for inclusive education,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 3, no. 2, pp. 168–176, 2025.

A. Silva, L. Luo, S. Karunasekera, and C. Leckie, “Embracing domain differences in fake news: Crossdomain fake news detection using multi-modal data,” in Proceedings of the AAAI conference on artificial intelligence, vol. 35, no. 1, 2021, pp. 557–565.

U. Rahardja, A. Sari, A. H. Alsalamy, S. Askar, A. H. R. Alawadi, and B. Abdullaeva, “Tribological properties assessment of metallic glasses through a genetic algorithm-optimized machine learning model,” Metals and Materials International, vol. 30, no. 3, pp. 745–755, 2024.

S. Lestari, S. Watini, and D. E. Rose, “Impact of self-efficacy and work discipline on employee performance in sociopreneur initiatives,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 2, pp. 270–284, 2024.

T. Wischmann, “Psychological aspects of infertility,” Medizinische Genetik, 2024.

I. Maria et al., “Unlocking success: Human resource management for startupreneur,” Startupreneur Business Digital (SABDA Journal), vol. 3, no. 1, pp. 89–97, 2024.

G. Mazza, “Ai and the future of mental health,” https://www.cengn.ca/information-centre/innovation/ artificial-intelligence-ai-and-the-future-of-mental-health/, 2022.

C. Lukita, S. Wulandari, S. M. Wahid, and T. Widiyatmoko, “The impact of blockchain on business and economics: Analysis of theory and implementation,” Blockchain Frontier Technology, vol. 4, no. 1, pp.58–62, 2024.

B. Diep, M. Stanojevic, and J. Novikova, “Multi-modal deep learning system for depression and anxiety detection,” arXiv preprint arXiv:2212.14490, 2022.

L. Meria, C. S. Bangun, and J. Edwards, “Exploring sustainable strategies for education through the adoption of digital circular economy principles,” International Transactions on Education Technology (ITEE), vol. 3, no. 1, pp. 62–71, 2024.

E. E. Lee, J. Torous, M. De Choudhury, C. A. Depp, and S. A. Graham, “Artificial intelligence for mental health care: Clinical applications, barriers, facilitators, and artificial wisdom,” Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, vol. 6, no. 9, pp. 856–864, 2021.

S. I. Al-Hawary, J. R. N. Alvarez, A. Ali, A. K. Tripathi, U. Rahardja, I. H. Al-Kharsan, R. M. Romero-Parra, H. A. Marhoon, V. John, and W. Hussian, “Multiobjective optimization of a hybrid electricity generation system based on waste energy of internal combustion engine and solar system for sustainable environment,” Chemosphere, vol. 336, p. 139269, 2023.

C. Chakilam, S. Kannan, M. Recharla, S. R. Suura, and S. T. Nuka, “The impact of big data and cloud computing on genetic testing and reproductive health management,” American Journal of Psychiatric Rehabilitation, vol. 28, no. 1, pp. 62–72, 2025.

M. Annas and T. Handra, “High rate of turnover intention: Study of logistics industrial workers,” Startupreneur Business Digital (SABDA Journal), vol. 2, no. 2, pp. 106–117, 2023.

A. Pathirana, D. K. Rajakaruna, D. Kasthurirathna, A. Atukorale, R. Aththidiye, and M. Yatipansalawa, “A reinforcement learning-based approach for promoting mental health using multimodal emotion recognition,” Journal of Future Artificial Intelligence and Technologies, vol. 1, no. 2, pp. 124–142, 2024.

Z. Fauziah, N. P. Anggraini, Y. P. A. Sanjaya, and T. Ramadhan, “Enhancing cybersecurity information sharing: A secure and decentralized approach with four-node ipfs,” International Journal of Cyber and IT Service Management, vol. 3, no. 2, pp. 153–159, 2023.

F. Ratnasari, F. N. Azizah, A. Latifah et al., “Pengaruh pendidikan video pemeriksaan payudara sendiri (sadari) dengan perilaku pemeriksaan payudara sendiri (sadari) remaja,” Jurnal Kesehatan, vol. 13, no. 1, pp. 56–61, 2024.

N. Azizah, G. P. Cesna, N. A. Santoso, Y. P. A. Sanjaya et al., “Blockchain technology evolution trends bibliometrics analysis on scopus database using vosviewer,” in 2022 IEEE Creative Communication and Innovative Technology (ICCIT). IEEE, 2022, pp. 1–6.

I. N. Margret, K. Rajakumar, K. Arulalan, S. Manikandan et al., “Machine learning-based box models for pregnancy care and maternal mortality reduction: a literature survey,” IEEE Access, 2024.