All Stories

  1. The Reports of My Capabilities Are Greatly Exaggerated - Small LLMs for Depression Inference from Mobile Sensing Data
  2. Towards a Unified Framework for Split Learning
  3. Semantic Location through On-Device Smartphone LLMs and WiFi Sensing
  4. Review and Comparative Evaluation of Resource-Adaptive Collaborative Training for Heterogeneous Edge Devices
  5. AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning
  6. Practical Privacy-Preserving Behaviour-Based Authentication on the Edge
  7. Enabling resource-efficient edge intelligence with compressive sensing-based deep learning
  8. Opposing Data Exploitation: Behaviour Biometrics for Privacy-Preserving Authentication in IoT Environments
  9. Uncovering Personal and Context-Dependent Display Preferences in Mobile Newsreader App
  10. Queen Jane Approximately
  11. Not Quite Yourself Today
  12. Watching the Watchers: Resource-Efficient Mobile Video Decoding through Context-Aware Resolution Adaptation
  13. Trading energy for accuracy in mobile interruptiblity inference
  14. UbiTtention 2020
  15. The impact of private and work-related smartphone usage on interruptibility
  16. UbiTtention 2019
  17. UPA'19
  18. Challenges when building mobile citizen-science/data-collection applications for non-literate users
  19. Wi-Mind
  20. My Watch Says I'm Busy
  21. UbiTtention 2018
  22. UPA'18
  23. A Survey of Attention Management Systems in Ubiquitous Computing Environments
  24. TaskyApp
  25. UbiTtention
  26. My Phone and Me
  27. Investigating The Role of Task Engagement in Mobile Interruptibility
  28. Anticipatory Mobile Computing
  29. Designing content-driven intelligent notification mechanisms for mobile applications
  30. Ask, but don't interrupt