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 |
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 |
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 |