Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life

  • Jonathan Liono
  • Mohammad Saiedur Rahaman
  • Flora D. Salim
  • Yongli Ren
  • Damiano Spina
  • Falk Scholer
  • Johanne R. Trippas
  • Mark Sanderson
  • Paul N. Bennett
  • Ryen W. White
ICMR'20, 2020

We introduce the novel research problem of task recognition in daily life. We recognize tasks such as project management, planning, meal-breaks, communication, documentation, and family care. We capture Cyber, Physical, and Social (CSP) activities of 17 participants over four weeks using device-based sensing, app activity logging, and an experience sampling methodology. Our cohort includes students, casual workers, and professionals, forming the first real world context-rich task behaviour dataset. We model CPS activities across different task categories, results highlight the importance of considering the CPS feature sets in modelling, especially work related tasks.

@InProceedings{liono2020intelligent, 
  title={ Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life},
  author = {Liono, Jonathan and Saiedur Rahaman, Mohammad and Salim, Flora D. and 
                  Ren, Yongli and Spina, Damiano and Scholer, Falk and Trippas, Johanne R. and
                  Sanderson, Mark and Bennett, Paul N. and White, Ryen W.},
  booktitle= {Proc. of ICMR'20},
  year = {2020}
}
Damiano Spina