Eemil Lagerspetz

TL;DR: Constella is developed, a novel recommender system for system settings that provides actionable and human-readable recommendations on how to adjust system settings in order to reduce overall battery drain, and is validated through a hardware power measurement experiment.

TL;DR: In this paper, the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters is analyzed by using extensive experiments carried out in the Helsinki metropolitan region, and they demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors.

TL;DR: It is discovered that Covid-19 leads to a decrease in users’ smartphone engagement and network switches, but an increase in WiFi usage, while the values of smartphone usage data for fighting against the epidemic are explored.

TL;DR: This paper focuses on community formation in IoP, a prerequisite for enabling collaborative scenarios, and discusses main challenges and propose potential solutions.

TL;DR: The authors' recent work on developing a novel crowdsourced solution for characterizing energy consumption of system settings, subsystem variables, and other context factors can simultaneously capture relationships between multiple factors, and provide a unified view of the energy state of a mobile device.