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🟨 Check out my Google Scholar and ResearchGate profiles for a full list of my publications.

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My research agenda is rooted in human-computer interaction, which provides the foundation for building meaningful connections between people and intelligent systems. At the core, I focus on three pillars:

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  • Responsible AI ensures that computational intelligence is developed with fairness, transparency, and accountability.

  • Human-Centered Design aligns technology with people’s needs, values, and contexts.

  • Human Experience examines how individuals perceive, trust, and engage with AI in everyday life.

 

Together, these pillars support my broader aim: addressing one of today’s most urgent challenges, the growing distrust and disconnect between people and AI. My goal is not only to understand this gap but also to find actionable ways forward. By bringing human perspectives into computational intelligence, I strive to shape technologies that are innovative, trustworthy, and socially responsible.

Peer-Reviewed Journal Articles
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Hadan, H., Mogavi, R. H., Zhang-Kennedy, L., & Nacke, L. E. (2025). Who is responsible when AI fails? Mapping causes, entities, and consequences of AI privacy and ethical incidents. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2025.2549073

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Cao, Y.-F., Mogavi, R. H., Xia, M., Lo, L. Y.-H., Zhang, X., Lou, M.-J., Nacke, L. E., Wang, Y., & Qu, H. (2025). The Jade Gateway to trust: Exploring how socio-cultural perspectives shape trust within Chinese NFT communities. Proceedings of the ACM on Human-Computer Interaction, 9(CSCW1). https://doi.org/10.1145/3711087

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Gini, F., Bassanelli, S., Bonetti, F., Mogavi, R. H., Bucchiarione, A., & Marconi, A. (2025). The role and scope of gamification in education: A scientometric literature review. Acta Psychologica, 250, 105418. https://doi.org/10.1016/j.actpsy.2025.105418

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Hadan, H., Wang, D. M., Mogavi, R. H., Tu, J., Zhang-Kennedy, L., & Nacke, L. E. (2024). The great AI witch hunt: Reviewers’ perception and (mis)conception of generative AI in research writing. Computers in Human Behavior: Artificial Humans, 2(2), 100095. https://doi.org/10.1016/j.chbah.2024.100095

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Mogavi, R. H., Son, J., Yang, S., Wang, D. M., Choong, L., Alhilal, A., Zhou, P. Y., Hui, P., & Nacke, L. E. (2024). The Jade Gateway to exergaming: How socio-cultural factors shape exergaming among East Asian older adults [Best Paper Honorable Mention Award 🏆]. Proceedings of the ACM on Human-Computer Interaction, 8(CHI PLAY), 1–34. https://doi.org/10.1145/3677106

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Mogavi, R. H., Deng, C., Kim, J. J., Zhou, P., Kwon, Y. D., Metwally, A. H. S., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P. (2023). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 1, 100027. https://doi.org/10.1016/j.chbah.2023.100027

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Mogavi, R. H., Zhang, Y., Haq, E.-U., Wu, Y., Hui, P., & Ma, X. (2022). What do users think of promotional gamification schemes? A qualitative case study in a question answering website [Method Recognition Award 🏆]. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1–34. https://doi.org/10.1145/3555124

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Mogavi, R. H., Haq, E.-U., Gujar, S., Hui, P., & Ma, X. (2022). More gamification is not always better: A case study of promotional gamification in a question answering website. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1–32. https://doi.org/10.1145/3555553

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Mogavi, R. H., Ma, X., & Hui, P. (2021). Characterizing student engagement moods for dropout prediction in question pool websites. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–22. https://doi.org/10.1145/3449086

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Heydarian, M., & Mogavi, R. H. (2012). A new high performance approach: Merging optimal multicast sessions for supporting multisource routing. The Journal of Supercomputing, 63(3), 871–896. https://doi.org/10.1007/s11227-012-0835-1

Peer-Reviewed Conference Papers
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Wang, D. M., Cmentowski, S., Mogavi, R. H., Senthil Nathan, K., Kukshinov, E., Tu, J., & Nacke, L. E. (2025). From solo to social: Exploring the dynamics of player cooperation in a co-located cooperative exergame. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). https://doi.org/10.1145/3706598.3713937

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Tu, J., Kukshinov, E., Mogavi, R. H., Wang, D. M., & Nacke, L. E. (2025). Designing biofeedback board games: The impact of heart rate on player experience. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). https://doi.org/10.1145/3706598.3713543

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Kukshinov, E., Harley, D., Szita, K., Mogavi, R. H., MacArthur, C., & Nacke, L. E. (2024). Disembodied, asocial, and unreal: How users reinterpret designed affordances of social VR. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ’24), 1914–1925. https://doi.org/10.1145/3643834.3661548

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Deng, C., Hoffman, J., Mogavi, R. H., Son, J., Yang, S., & Hui, P. (2024). Which exergame is better for older adults? An exploratory study on user perspectives of virtual reality, ExerCube, and 2D exergames. In Proceedings of the 2024 International Conference on HCI in Games, 161–176. https://doi.org/10.1007/978-3-031-60695-3_11

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Yang, S., Tsui, Y. H., Wang, X., Alhilal, A., Mogavi, R. H., Wang, X., & Hui, P. (2024). From prompt to metaverse: User perceptions of personalized spaces crafted by generative AI. In Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion ’24), 497–504. https://doi.org/10.1145/3678884.3681897

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Zheng, C., Yuan, K., Guo, B., Mogavi, R. H., Peng, Z., Ma, S., & Ma, X. (2024). Charting the future of AI in project-based learning: A co-design exploration with students. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI ’24). https://doi.org/10.1145/3613904.3642807

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Mogavi, R. H., Hoffman, J., Deng, C., Du, Y., Haq, E.-U., & Hui, P. (2023). Envisioning an inclusive metaverse: Student perspectives on accessible and empowering metaverse-enabled learning. In Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S ’23), 346–353. https://doi.org/10.1145/3573051.3596185

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Mogavi, R. H., Deng, C., Hoffman, J., Haq, E.-U., Gujar, S., Bucchiarone, A., & Hui, P. (2023). Your favorite gameplay speaks volumes about you: Predicting user behavior and hexad type [Best Paper Award 🏆]. In Proceedings of the 2023 International Conference on HCI in Games, 210–228. https://doi.org/10.1007/978-3-031-35979-8_17

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Yang, S., Gao, Z., Mogavi, R. H., Hui, P., & Braud, T. (2023). Tangible web: An interactive immersion virtual reality creativity system that travels across reality. In Proceedings of the ACM Web Conference 2023 (WWW ’23), 3915–3922. https://doi.org/10.1145/3543507.3587432

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Haq, E.-U., Zhu, Y., Lin, Z., Weng, H., Tyson, G., Lee, L.-H., Mogavi, R. H., Braud, T., & Hui, P. (2024). Understanding characteristics of catalyst users in the WallStreetBets community. In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’23), 320–324. https://doi.org/10.1145/3625007.3627595

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Mogavi, R. H., Guo, B., Zhang, Y., Haq, E.-U., Hui, P., & Ma, X. (2022). When gamification spoils your learning: A qualitative case study of gamification misuse in a language-learning app [Best Paper Honorable Mention Award 🏆]. In Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S ’22), 175–188. https://doi.org/10.1145/3491140.3528274

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Haq, E.-U., Lee, L.-H., Tyson, G., Mogavi, R. H., Braud, T., & Hui, P. (2023). Exploring mental health communications among Instagram coaches. In Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’22), 218–225. https://doi.org/10.1109/ASONAM55673.2022.10068611

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Mogavi, R. H., Zhao, Y., Haq, E.-U., Hui, P., & Ma, X. (2021). Student barriers to active learning in synchronous online classes: Characterization, reflections, and suggestions. In Proceedings of the Eighth ACM Conference on Learning @ Scale (L@S ’21), 101–115. https://doi.org/10.1145/3430895.3460126

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Kwon, Y. D., Mogavi, R. H., Haq, E.-U., Kwon, Y., Ma, X., & Hui, P. (2020). Effects of ego networks and communities on self-disclosure in an online social network. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’19), 17–24. https://doi.org/10.1145/3341161.3342881

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Mogavi, R. H., Gujar, S., Ma, X., & Hui, P. (2019). HRCR: Hidden markov-based reinforcement to reduce churn in question answering forums. In Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), 364–376. https://doi.org/10.1007/978-3-030-29908-8_29

My research has been made possible thanks to the generous support of:

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