The Gamified Voice AI Agents: Enhancing User Engagement and Interaction Through Playful Design
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This research examines the design of a Voice AI agent enhanced with gamification elements such as points, rewards, challenges, storytelling, and personalization to increase user engagement and satisfaction. Two hypotheses guided the study: (H1) users of gamified Voice AI systems demonstrate higher engagement and motivation than those using non-gamified systems; (H2) demographic factors, particularly age and prior experience, influence preferences for gamification features. Experimental testing and user feedback showed that the most frequent interactions involved game-based activities, childlike conversations, and psychology-related queries, with consistently high satisfaction and predominantly positive or curious sentiments. These findings support both hypotheses, highlighting the motivational benefits of gamification and the moderating role of user characteristics. Future work should investigate how gamification shapes long-term engagement, how demographics moderate playful feature effectiveness across contexts, and which combinations of rewards, personalization, and social presence deliver sustainable improvements in satisfaction and retention.
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M. G. Elmashhara, R. De Cicco, S. C. Silva, M. Hammerschmidt, and M. L. Silva, “How gamifying AI shapes customer motivation, engagement, and purchase behavior,” Psychology & Marketing, vol. 41, no. 1, pp. 134–150, 2023, doi: 10.1002/mar.21912.
A. Liu, “AI agents: Transforming the future of research with digital researchers,” IBM Community, Jan. 7, 2025. [Online]. Available: https://community.ibm.com/community/user/ai-datascience/blogs/alex-liu/2025/01/07/ai-agents-transforming-the-future-of-research-with
O. J. Chavez and T. Palaoag, “AI-driven mobile application: unraveling students’ motivational feature preferences for reading comprehension,” Journal of Research in Innovative Teaching & Learning, vol. 17, no. 2, pp. 226–242, 2024, doi: 10.1108/JRIT-02-2024-0045.
S. Zhang, Y. Lu, J. Liu, J. Yu, H. Qiu, Y. Yan, and Z. Lan, “Unveiling the secrets of engaging conversations: Factors that keep users hooked on role-playing dialog agents,” arXiv preprint arXiv:2402.11522, 2024. [Online]. Available: https://arxiv.org/abs/2402.11522
N. Vedula, G. Castellucci, E. Agichtein, O. Rokhlenko, and S. Malmasi, “Leveraging interesting facts to enhance user engagement with conversational interfaces,” arXiv preprint arXiv:2404.06659, 2024. [Online]. Available: https://arxiv.org/abs/2404.06659
A. G. Persada, “User experience on games development trends,” Journal of Physics: Conference Series, vol. 1341, p. 042010, 2019, doi: 10.1088/1742-6596/1341/4/042010.
Artificial Agency, “Playful intelligence: Bringing generative behavior to games,” Artificial Agency. [Online]. Available: https://www.artificial.agency/news/playful-intelligence
V. K. Pham, T. D. Pham Thi, and N. T. Duong, “A study on information search behavior using AI-powered engines: Evidence from chatbots on online shopping platforms,” SAGE Open, vol. 2024, pp. 1–18, 2024, doi: 10.1177/21582440241300007.
Bräuer, P., & Mazarakis, A. (2024). How to Design Audio-Gamification for Language Learning with Amazon Alexa? — A Long-Term Field Experiment. International Journal of Human-Computer Interaction, 40(9), 2343-2360.
X. Yao, “The motivations for using AI voice assistant: A systematic literature review,” in Proc. 3rd Int. Conf. Financial Technology and Business Analysis, 2024, doi: 10.54254/2754-1169/151/2024.19413.
D. Ghimire, M. Uther, and J. Kim, “Gamified speaker comparison by listening,” arXiv preprint arXiv:2205.04923, 2022. [Online]. Available: https://arxiv.org/abs/2205.04923
C. J. Costa et al., “Gamification and AI: Enhancing user engagement through intelligent systems,” arXiv preprint arXiv:2411.10462, 2024.
Bittner, J. V., & Schipper, J. (2014). Motivational effects and age differences of gamification in product advertising. Research in Advertising.
Minge, M., et al. (2020). Gamification with older adults: PC-Trainer study. Information, 11(5), 249.
Koivisto, J., & Hamari, J. (2014). Demographic differences in perceived benefits from gamification. Proc. 2014 ACM Conf. Gamification.
Issabek, A., Oliveira, J., Hamari, J., et al. (2025). The effects of demographic factors on learners’ flow experience in gamified quizzes. Smart Learning Environments.
Nguyen, A., et al. (2024). Older adults’ perceptions and preferences in gamified systems. International Journal of Human–Computer Interaction.
A. S. Majumder, “The influence of UX design on user retention and conversion rates in mobile apps,” arXiv preprint arXiv:2501.13407, 2025. [Online]. Available: https://arxiv.org/abs/2501.13407
M. Hassenzahl, Experience Design: Technology for All the Right Reasons. San Rafael, CA, USA: Morgan & Claypool Publishers, 2010, doi: 10.2200/S00261ED1V01Y201003HCI008.
A. M. H. Abbas, K. I. Ghauth, and C.-Y. Ting, “User experience design using machine learning: A systematic review,” IEEE Access, vol. 10, pp. 51501–51514, 2022, doi: 10.1109/ACCESS.2022.3173289.
Google, “Gemma: Lightweight open language models,” Google Research, 2024.
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, … and S. Riedel, “Retrieval-augmented generation for knowledge-intensive NLP tasks,” in Advances in Neural Information Processing Systems, vol. 33, pp. 9459–9474, 2020.
G. Izacard and E. Grave, “Leveraging passage retrieval with generative models for open domain question answering,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Online, Apr. 2021, pp. 874–880.
