Recent advancements in sensing techniques for mHealth applications have led to
successful development and deployments of several mHealth intervention designs …

Notifications can be relevant but they can also decrease productivity when delivered at the
wrong point in time. Smartphones are increasingly capable of detecting relevant context …

Ecological momentary assessment (EMA) is an approach to collect self-reported data
repeatedly on mobile devices in natural settings. EMAs allow for temporally dense …

Visual attention is highly fragmented during mobile interactions, but the erratic nature of
attention shifts currently limits attentive user interfaces to adapting after the fact, ie after shifts …

Background Across college campuses, the prevalence of clinically relevant depression or
anxiety is affecting more than 27% of the college population at some point between entry to …

Mobile experience sampling methods (ESMs) are widely used to measure users' affective
states by randomly sending self-report requests. However, this random probing can interrupt …

We present the first real-world dataset and quantitative evaluation of visual attention of
mobile device users in-situ, ie while using their devices during everyday routine …

People with mental health issues often stay indoors, reducing their outdoor activities. This
situation emphasizes the need for self-tracking technology in homes for mental health …

Previous work suggests that Quantified-Self applications can retain long-term usage with
motivational methods. These methods often require intermittent attention requests with …

In this work, we attempt to determine whether the contextual information of a participant can
be used to predict whether the participant will respond to a particular Ecological Momentary …