Kostakos, Vassilis

The Experience Sampling Method on Mobile Devices

van Berkel, N., Ferreira, D., & Kostakos, V. (2018) · ACM Computing Surveys

Mental Health Research TopicsInnovative Human-Technology Interaction

Cited by 432

AWARE: Mobile Context Instrumentation Framework

Ferreira, D., Kostakos, V., & Dey, A. K. (2015) · Frontiers in ICT

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 409

Are Smartphones Ubiquitous?: An in-depth survey of smartphone adoption by seniors

Berenguer, A., Goncalves, J., Hosio, S., Ferreira, D., Anagnostopoulos, T., & Kostakos, V. (2017) · IEEE Consumer Electronics Magazine

Technology Use by Older AdultsTechnology Adoption and User Behaviour

Cited by 150

Gamification of Mobile Experience Sampling Improves Data Quality and Quantity

van Berkel, N., Goncalves, J., Hosio, S., & Kostakos, V. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Mobile Crowdsensing and CrowdsourcingEducational Games and Gamification

Cited by 95

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

What Could Possibly Go Wrong When Interacting with Proactive Smart Speakers? A Case Study Using an ESM Application

Wei, J., Tag, B., Trippas, J. R., Dingler, T., & Kostakos, V. (2022) · CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsUsability and User Interface Design

Cited by 46

Understanding User Perceptions of Proactive Smart Speakers

Wei, J., Dingler, T., & Kostakos, V. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Innovative Human-Technology InteractionSpeech and dialogue systems

Cited by 33

Predicting interruptibility for manual data collection: a cluster-based user model

Visuri, A., van Berkel, N., Luo, C., Goncalves, J., Ferreira, D., & Kostakos, V. (2017) · Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

Innovative Human-Technology InteractionPersonal Information Management and User Behavior

Cited by 28

Efficient and Personalized Mobile Health Event Prediction via Small Language Models

Wang, X., Dang, T., Kostakos, V., & Jia, H. (2024) · Proceedings of the 30th Annual International Conference on Mobile Computing and Networking

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 22

Methodological Standards in Accessibility Research on Motor Impairments: A Survey

Sarsenbayeva, Z., van Berkel, N., Velloso, E., Goncalves, J., & Kostakos, V. (2023) · ACM Computing Surveys

Digital Accessibility for DisabilitiesAssistive Technology in Communication and Mobility

Cited by 17

DDoD: Dual Denial of Decision Attacks on Human-AI Teams

Tag, B., van Berkel, N., Verma, S., Zhao, B. Z. H., Berkovsky, S., Kaafar, D., Kostakos, V., & Ohrimenko, O. (2023) · IEEE Pervasive Computing

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 15

Passive Health Monitoring Using Large Scale Mobility Data

Zhang, Y., Xu, F., Li, T., Kostakos, V., Hui, P., & Li, Y. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Human Mobility and Location-Based AnalysisContext-Aware Activity Recognition Systems

Cited by 10

Understanding How to Administer Voice Surveys through Smart Speakers

Wei, J., Jiang, W., Wang, C., Yu, D., Goncalves, J., Dingler, T., & Kostakos, V. (2022) · Proceedings of the ACM on Human-Computer Interaction

Survey Methodology and NonresponseInnovative Human-Technology Interaction

Cited by 9