48 citations · 48 across the 1 of their papers we have counts for
4 papers · 1 filter
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries
Lakmal Meegahapola, William Droz, Peter Kun +24
Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Jorge Ramírez, Burcu Sayin, Marcos Baez +4
Crowdsourcing is being increasingly adopted as a platform to run studies with human subjects. Running a crowdsourcing experiment involves several choices and strategies to successf…
On the impact of predicate complexity in crowdsourced classification tasks
Jorge Ramírez, Marcos Baez, Fabio Casati +4
This paper explores and offers guidance on a specific and relevant problem in task design for crowdsourcing: how to formulate a complex question used to classify a set of items. In…
Challenges and strategies for running controlled crowdsourcing experiments
Jorge Ramírez, Marcos Baez, Fabio Casati +2
This paper reports on the challenges and lessons we learned while running controlled experiments in crowdsourcing platforms. Crowdsourcing is becoming an attractive technique to en…