J
Julian Ramos
Researcher at Carnegie Mellon University
Publications - 14
Citations - 817
Julian Ramos is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Ubiquitous computing & Activity recognition. The author has an hindex of 10, co-authored 14 publications receiving 686 citations.
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Proceedings ArticleDOI
Getting closer: an empirical investigation of the proximity of user to their smart phones
TL;DR: It is shown that in fact this assumption about users' proximity to their mobile phones holding for a new generation of mobile phones, smart phones, is still false, with the within arm's reach proximity being true close to 50% of the time, similar to the earlier work.
Proceedings ArticleDOI
Discovering different kinds of smartphone users through their application usage behaviors
TL;DR: This work analyzed one month of application usage from 106,762 Android users and discovered 382 distinct types of users based on their application usage behaviors, using the author's own two-step clustering and feature ranking selection approach.
Proceedings ArticleDOI
Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments
TL;DR: Attelia II is proposed, a novel middleware that identifies breakpoints in users' lives while using those devices, and delivers notifications at these moments, and results in a 71.8% greater reduction of users' perception of workload, compared with the previous system that used UI events only.
Journal ArticleDOI
Toward Personalized Activity Recognition Systems With a Semipopulation Approach
TL;DR: This work proposes a semipopulation-based approach that exploits activity models trained from other users that outperforms others that rely on users' demographic information for recognizing their activities, which may contradict the commonly held belief that physically similar people would have similar activity patterns.
Proceedings ArticleDOI
Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones
TL;DR: Attelia, a novel middleware that identifies breakpoints in user interaction and delivers notifications at these moments, works in realtime and uses only the mobile devices that users naturally use and wear, without any modifications to applications and without any dedicated psycho-physiological sensors.