  | Leschanowsky, A., SERGEEVA, A.* , Bauer, J., Vijapurapu, S., & DUBIEL, M. (November 2025). Exploring the Impact of Modality and Speech Rate Manipulation in Voice Permission Requests—Limits of Applicability and Potential for Influencing Decision-Making. International Journal of Human-Computer Studies, 205, 103590. doi:10.1016/j.ijhcs.2025.103590  Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | TANG, H., Sun, S.* , Nie, K., Li, A., SERGEEVA, A., & Lc, R. (05 October 2025). Breaking the News: Taking the Roles of Influencer vs. Journalist in a LLM-Based Game for Raising Misinformation Awareness. Proceedings of the ACM on Human-Computer Interaction, 9 (6), 131 - 171. doi:10.1145/3748600 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Metreveli, A.* , CHEN, X.* , Hedman, A., & SERGEEVA, A. (19 July 2025). “Who will be left behind?”: A Swedish case of learning AI in vocational education. International Journal of Educational Research, 133, 102697. doi:10.1016/j.ijer.2025.102697 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | KOCYIGIT, E., Rossi, A., SERGEEVA, A., Negri Ribalta, C., FARJAMI, A., & LENZINI, G. (2025). DeceptiLens: An Approach supporting Transparency in Deceptive Pattern Detection based on a Multimodal Large Language Model. In ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency. Association for Computing Machinery, Inc. doi:10.1145/3715275.3732129 Peer reviewed |
 | SERGEEVA, A., NEGRI RIBALTA, C. S., & LENZINI, G. (26 April 2025). Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery [Paper presentation]. CHIXR/2025/08. Peer reviewed |
 | CHUAI, Y., SERGEEVA, A., LENZINI, G., & Pröllochs, N. (2025). Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media. In CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. doi:10.1145/3706598.3713909 Peer reviewed |
 | Sergeeva, E.* , & SERGEEVA, A.*. (2025). THE GOAL: Misalignment between the measured metrics and the nebulous concept of critical thinking in joint decision-making [Paper presentation]. 2025 ACM Workshop on Human-AI Interaction for Augmented Reasoning (AIREASONING-2025-01). Peer reviewed* These authors have contributed equally to this work. |
 | NEGRI RIBALTA, C., Noel, R., SERGEEVA, A., & LENZINI, G. (2025). Towards Evidence-Based Conceptual Modeling for International Data Protection Requirements. In Proceedings - 2025 IEEE 33rd International Requirements Engineering Conference Workshops, REW 2025. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/REW66121.2025.00036 Peer reviewed |
 | DUBIEL, M., LEIVA, L. A., BONGARD-BLANCHY, K., & SERGEEVA, A. (10 November 2024). "Hey Genie, You Got Me Thinking about My Menu Choices!" Impact of Proactive Feedback on User Perception and Reflection in Decision-making Tasks. ACM Transactions on Computer-Human Interaction, 31 (5), 1-30. doi:10.1145/3685274 Peer Reviewed verified by ORBi |
 | ROSSI, A., Carli, R., Botes, M. W., FERNANDEZ, A., SERGEEVA, A., & SANCHEZ CHAMORRO, L. (November 2024). Who is vulnerable to deceptive design patterns? A transdisciplinary perspective on the multi-dimensional nature of digital vulnerability. Computer Law & Security Review, 55, 106031. doi:10.1016/j.clsr.2024.106031 Peer Reviewed verified by ORBi |
 | CHEN, X., DOUBLET, S., SERGEEVA, A., LENZINI, G., KOENIG, V., & DISTLER, V. (2024). What Motivates and Discourages Employees in Phishing Interventions: An Exploration of Expectancy-Value Theory. In Proceedings of the Symposium on Usable Privacy and Security (SOUPS 2024). United States: USENIX. Peer reviewed |
 | TANG, H., LENZINI, G., GREIFF, S., ROHLES, B.* , & SERGEEVA, A.*. (01 July 2024). "Who Knows? Maybe it Really Works": Analyzing Users' Perceptions of Health Misinformation on Social Media [Paper presentation]. ACM Conference on Designing Interactive Systems 2024, Copenhagen, Denmark. doi:10.1145/3643834.3661510 Peer reviewed* These authors have contributed equally to this work. |
 | CHEN, X., SACRE, M., LENZINI, G., GREIFF, S., Distler Verena* , & SERGEEVA, A.*. (2024). The Effects of Group Discussion and Role-playing Training on Self-efficacy, Support-seeking, and Reporting Phishing Emails: Evidence from a Mixed-design Experiment. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems (pp. 21). Honolulu, United States: Association for Computing Machinery. doi:10.1145/3613904.3641943 Peer reviewed* These authors have contributed equally to this work. |
 | DUBIEL, M.* , SERGEEVA, A.* , & LEIVA, L. A. (2024). Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern? In ACM International Conference on Intelligent User Interfaces (IUI ’24). ACM. doi:10.1145/3640543.3645202 Peer reviewed* These authors have contributed equally to this work. |
 | VALOGGIA, P., SERGEEVA, A., ROSSI, A., & BOTES, W. M. (2024). Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective. Proceedings of the 10th International Conference on Information Systems Security and Privacy. doi:10.5220/0012393100003648 Peer reviewed |
 | NEGRI RIBALTA, C. S., Geraud-Stewart, R., SERGEEVA, A., & LENZINI, G. (2024). A systematic literature review on the impact of AI models on the security of code generation. Frontiers in Big Data, 7, 1386720. doi:10.3389/fdata.2024.1386720 Peer Reviewed verified by ORBi |
 | BONGARD-BLANCHY, K., STERCKX, J.-L., ROSSI, A., SERGEEVA, A., RIVAS, S., KOENIG, V., & DISTLER, V. (2023). Analysing the Influence of Loss-Gain Framing on Data Disclosure Behaviour: A Study on the Use Case of App Permission Requests. Proceedings of the 2023 European Symposium on Usable Security. doi:10.1145/3617072.3617108 Peer reviewed |
 | DUBIEL, M., BONGARD, K., LEIVA, L. A., & SERGEEVA, A. (2023). Are you sure you want to order that? On Appropriateness of Voice-only Proactive Feedback Strategies. In Proceedings of the ACM Conference on Conversational User Interfaces (CUI). United States: ACM. doi:10.1145/3571884.3604312 Peer reviewed |
 | TANG, H., KOENIG, V., & SERGEEVA, A. (11 July 2023). Towards User Empowerment: Bridging the Gap in Health Misinformation Protection on Social Networks [Paper presentation]. Workshop "Designing for and Reflecting upon Resilience in Health and Wellbeing" at the ACM Designing Interactive Systems Conference (DIS’23), Pittsburgh, United States. |
 | SERGEEVA, A., ROHLES, B., DISTLER, V., & KOENIG, V. (2023). “We Need a Big Revolution in Email Advertising”: Users’ Perception of Persuasion in Permission-based Advertising Emails. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1-21. doi:10.1145/3544548.3581163 Peer reviewed |
 | SERGEEVA, A., BONGARD-BLANCHY, K., DISTLER, V., & KOENIG, V. (2023). The Perceived Influence of E-Shopping Cues on Customers’ Buying Decisions. Proceedings of XI Latin American Conference on Human Computer Interaction (CLIHC 2023). doi:10.1145/3630970.3630980 Peer reviewed |
 | TUNCER, R., SERGEEVA, A., BONGARD-BLANCHY, K., DISTLER, V., DOUBLET, S., & KOENIG, V. (2023). Running out of time(rs): effects of scarcity cues on perceived task load, perceived benevolence and user experience on e-commerce sites. Behaviour and Information Technology, 1-19. doi:10.1080/0144929X.2023.2242966 Peer Reviewed verified by ORBi |
 | ROHLES, B., DOUBLET, S., BONGARD, K., DISTLER, V., FOURRIER, V., SERGEEVA, A., & KOENIG, V. (01 May 2022). "Do we need an entire course about it?": Evaluating two years of teaching HCI in computer science [Paper presentation]. EduCHI 2022, New Orleans, LA, United States. |
 | BOTES, W. M., Carli, R., ROSSI, A., SANCHEZ CHAMORRO, L., Santos, C., & SERGEEVA, A. (2022). Feedback to the Guidelines 3/2022 on “Dark patterns in social media platform interfaces: How to recognise and avoid them”. https://orbilu.uni.lu/handle/10993/52741 |
 | SERGEEVA, A., Kirillov, B., & Dzhumagulova, A. (2018). Neural network-based exploration of construct validity for russian version of the 10-item big five inventory. In D. A. Alexandrov (Ed.), Digital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers. Springer Verlag. doi:10.1007/978-3-030-02846-6_19 Peer reviewed |
 | Kirillov, B., Petrovskaya, A., & SERGEEVA, A. (2018). Computational Investigation of Linguistic Markers in Discourse of Political Adversaries via Interpretation of Recurrent Neural Network [Paper presentation]. The Fourth St. Petersburg Winter Workshop on Experimental Studies of Speech and Language, Saint-Petersbourg, Russia. doi:10.13140/RG.2.2.12282.59845 |
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