Reading Scheduler: Proactive Recommendations to Help Users Cope with Their Daily Reading Volume
Tilman Dingler, Benjamin Tag, Sabrina Lehrer, Albrecht Schmidt, S Abdennadher (ed.), F Alt (ed.)
Association for Computing Machinery | Published : 2018
To help deal with daily reading volumes, we present Reading Scheduler, a smartphone application linked to people’s reading list, which triggers reading reminders throughout the day. The app suggests articles according to their length, complexity, and the time available for reading as indicated by the user. In a field study, we collected usage data from ten participants over the course of two weeks. During this time, we recorded mobile sensor data and trained a classifier to detect opportune moments for reading. Participants read 182 articles while we collected 787,752 sensor data points. Together with an assessment of the feasibility of proactive reading suggestions, we present a prediction ..View full abstract
Awarded by Future and Emerging Technologies of the European Commission
Awarded by JST CREST
This work is supported by the Future and Emerging Technologies of the European Commission under grant number 612933 and by JST CREST under grant number JPMJCR16E1.