Collaborative Intelligence and Digital Agency: Women’s Lived Experiences in Navigating Human-AI Interaction on Canva

Syammas Pinasthika Syarbini; Irmawan Rahyadi; Muhammad Aras; La Mani

doi:10.58524/smartsociety.v6i2.1140

Authors

Syammas Pinasthika Syarbini BINUS University, Indonesia
Irmawan Rahyadi BINUS University, Indonesia
Muhammad Aras BINUS University, Indonesia
La Mani BINUS University, Indonesia

DOI:

https://doi.org/10.58524/smartsociety.v6i2.1140

Keywords:

Canva AI, Collaborative Intelligence, Digital Agency, Human-AI Interaction

Abstract

The rapid development of generative artificial intelligence (AI) has transformed digital creative practices, enabling users to produce visual content through AI-assisted design platforms. However, limited research has explored how everyday users experience collaboration with AI tools in creative production, particularly in relation to maintaining digital agency and creative control. This study aims to explore women’s lived experiences in interacting with Canva AI during visual content production and to understand how collaborative intelligence and digital agency emerge in AI-assisted creative practices. The study employed a qualitative approach using Interpretative Phenomenological Analysis (IPA). Data were collected through in-depth interviews with seven women who actively use Canva AI in their digital content production activities. The analysis identified four key experiential dimensions: reflexive agency, collaborative intelligence, ethical and cultural filtering, and digital empowerment. Participants treated AI-generated visuals as preliminary materials requiring human interpretation, refinement, and contextual judgment before publication. Canva AI was perceived as a co-creative partner that accelerated idea generation while preserving human control over the final design decisions. The findings suggest that collaborative intelligence in AI-assisted creativity functions as a partnership between human interpretation and technological support, where human agency remains central in shaping digital communication practices.

References

Ali, I., Nguyen, K., Ali, A. M., & Cui, T. (2025). Human–AI collaboration in knowledge ecosystems: A multidisciplinary review, integrative framework and future directions. Journal of Knowledge Management, 1–22. https://doi.org/10.1108/JKM-03-2025-0431

Amankwah-Amoah, J., Abdalla, S., Mogaji, E., Elbanna, A., & Dwivedi, Y. K. (2024). The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda. International Journal of Information Management, 79, 102759. https://doi.org/10.1016/j.ijinfomgt.2024.102759

Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: A review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7

Bansal, G., Nawal, A., Chamola, V., & Herencsar, N. (2024). Revolutionizing visuals: The role of generative AI in modern image generation. ACM Transactions on Multimedia Computing, Communications, and Applications, 20(11), 356:1–356:22. https://doi.org/10.1145/3689641

Barisione, M., Rama, I., & Marolla, F. (2025). Between AI fear and digital agency: Technological familiarity and risk perception of generative AI’s epistemic power. Information, Communication & Society, 1–20. https://doi.org/10.1080/1369118X.2025.2606101

Bartoli, C., Nosi, C., Mattiacci, A., & Sfodera, F. (2023). Consumer self-concept in the cyberspace: How digitization has shaped the way we self-disclose to others. Journal of Strategic Marketing, 31(6), 1133–1154. https://doi.org/10.1080/0965254X.2022.2056501

Bian, J., & Ji, Y. (2021). Research on the teaching of visual communication design based on digital technology. Wireless Communications and Mobile Computing, 2021, 8304861. https://doi.org/10.1155/2021/8304861

Borger, J. G., Ng, A. P., Anderton, H., Ashdown, G. W., Auld, M., Blewitt, M. E., Brown, D. V., Call, M. J., Collins, P., Freytag, S., Harrison, L. C., Hesping, E., Hoysted, J., Johnston, A., McInneny, A., Tang, P., Whitehead, L., Jex, A., & Naik, S. H. (2023). Artificial intelligence takes center stage: Exploring the capabilities and implications of ChatGPT and other AI-assisted technologies in scientific research and education. Immunology & Cell Biology, 101(10), 923–935. https://doi.org/10.1111/imcb.12689

Chakraborty, U., & Biswal, S. K. (2023). Impact of social media participation on female entrepreneurs towards their digital entrepreneurship intention and psychological empowerment. Journal of Research in Marketing and Entrepreneurship, 25(3), 374–392. https://doi.org/10.1108/JRME-03-2021-0028

Chen, J., Xue, J., Li, Y., & Luo, W. (2025). Impact of different employee–AI interaction: Instrumental vs. emotional support and gender differences. International Journal of Human-Computer Interaction, 41(21), 13394–13407. https://doi.org/10.1080/10447318.2025.2474460

Contreras-Espinosa, R. S., Salvador-Mata, B., Arciniega-Cáceres, M., & Scolari, C. A. (2026). From experimentation to integration: Mapping AI use across European media and communication professionals. New Media & Society. https://doi.org/10.1177/14614448261416895

Cuthbertson, L. M., Robb, Y. A., & Blair, S. (2020). Theory and application of research principles and philosophical underpinning for a study utilising interpretative phenomenological analysis. Radiography, 26(2), e94–e102. https://doi.org/10.1016/j.radi.2019.11.092

Davenport, T. H., & Mittal, N. (2022). How companies can prepare for the coming “AI-first” world. Strategy & Leadership, 51(1), 26–30. https://doi.org/10.1108/SL-11-2022-0107

Dellermann, D., Lipusch, N., Ebel, P., & Leimeister, J. M. (2019). Design principles for a hybrid intelligence decision support system for business model validation. Electronic Markets, 29(3), 423–441. https://doi.org/10.1007/s12525-018-0309-2

Dinger, B., Byun, S.-E., & Park, J. (2024). Integrating AI into curricula: Project-based learning in digital entrepreneurship. International Journal of Fashion Design, Technology and Education, 1–10. https://doi.org/10.1080/17543266.2024.2438170

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI–human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277–304. https://doi.org/10.1080/15228053.2023.2233814

Herath, S., Bashardoust, A., Bole, Y., & Shrestha, Y. R. (2026). Design principles for text-to-image generative artificial intelligence creativity support tools for visual design. European Journal of Information Systems, 1–26. https://doi.org/10.1080/0960085X.2026.2616042

Kelly, N. J., Hallam, J., & Bignell, S. (2023). Using interpretative phenomenological analysis to gain a qualitative understanding of presence in virtual reality. Virtual Reality, 27(2), 1173–1185. https://doi.org/10.1007/s10055-022-00719-2

Li, H., Xue, T., Zhang, A., Luo, X., Kong, L., & Huang, G. (2024). The application and impact of artificial intelligence technology in graphic design: A critical interpretive synthesis. Heliyon, 10(21), e40037. https://doi.org/10.1016/j.heliyon.2024.e40037

Liang, J. (2024). The application of artificial intelligence-assisted technology in cultural and creative product design. Scientific Reports, 14(1), 31069. https://doi.org/10.1038/s41598-024-82281-2

Magliocca, P., Canestrino, R., Carayannis, E. G., & Gagliardi, A. R. (2024). Understanding human–technology interaction: Evolving boundaries. European Journal of Innovation Management, 28(5), 2006–2028. https://doi.org/10.1108/EJIM-04-2024-0341

Mogaji, E., & Jain, V. (2024). How generative AI will change consumer behaviour: Implications for research and practice. Journal of Consumer Behaviour, 23(5), 2379–2389. https://doi.org/10.1002/cb.2345

O’Driscoll, A., & Blackwell, A. F. (2025). Social norms, social AI: Investigating the effects of AI (im)politeness and gender on user perception. BCS Human–Computer Interaction Conference Proceedings, 590–600. https://doi.org/10.14236/ewic/BCSHCI2025.66

Pathak-Shelat, M., & Bhatia, K. V. (2019). Young people as global citizens: Negotiation of youth civic participation in adult-managed online spaces. Journal of Youth Studies, 22(1), 87–107. https://doi.org/10.1080/13676261.2018.1483074

Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe, and trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118

Smith, S. M., Cotterill, S. T., & Brown, H. (2020). An interpretative phenomenological analysis of performance influencing factors within the practice environment. Journal of Physical Education and Sport, 20(4), 1646–1657. https://doi.org/10.7752/jpes.2020.04224

Tong, Q. (2024). Creativity in the digital canvas: A comprehensive analysis of art and design education pedagogy. International Journal of Advanced Computer Science and Applications, 15(6), 942–948. https://doi.org/10.14569/IJACSA.2024.0150696

Waheed, S., Sattar, S., Bhatti, Z. I., & Naeem, M. (2022). Social media encourages women entrepreneurship: A study of challenges and empowerment. International Journal of Media and Information Literacy, 7(2), 596–605.

Wessel, M., Adam, M., Benlian, A., Majchrzak, A., & Thies, F. (2025). Generative AI and its transformative value for digital platforms. Journal of Management Information Systems, 42(2), 346–369. https://doi.org/10.1080/07421222.2025.2487315

Yang, D. (2024). Human–AI interaction in the age of large language models. AAAI Spring Symposium Technical Report, 3(1), 66–67. https://doi.org/10.1609/aaaiss.v3i1.31183

Yu, T., Tian, Y., Chen, Y., Huang, Y., Pan, Y., & Jang, W. (2025). How ethical factors affect user trust and adoption intentions of AI-generated content tools: Evidence from a risk–trust perspective. Systems, 13(6). https://doi.org/10.3390/systems13060461