Intelligent task recognition: Towards enabling productivity assistance in daily life
J Liono, MS Rahaman, FD Salim, Y Ren, D Spina, F Scholer, JR Trippas, M Sanderson, PN Bennett, RW White
ICMR 2020 - Proceedings of the 2020 International Conference on Multimedia Retrieval | ACM | Published : 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 (CPS) 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.