Background Supporting mental health and wellness is of increasing interest due to a
growing recognition of the prevalence and burden of mental health issues. Mood is a central …

Collecting accurate and precise emotion ground truth labels for mobile video watching is
essential for ensuring meaningful predictions. However, video-based emotion annotation …

Due to their abundance of sensors, today's smartphones can act as a scientific tool to collect
contextual information on users' emotional, social, and physical behaviour. With the …

Increasing HCI work on affective interfaces aimed to capture and communicate users'
emotions in order to support self-understanding. While most such interfaces employ …

Commonly used mood measures are either lengthy or too complicated for repeated use.
Mood tracking research is, therefore, associated with challenges such as user …

HCI research has been instrumental in enabling self-directed health tracking. Despite a
plethora of devices and data, however, users' views of their own health are often …

Mood, often studied using smartphones, influences human perception, judgment, thought,
and behavior. Mood measurements on smartphones face challenges concerning the …

In-situ self-reporting on smartwatches has been widely-used to collect data about
participants' experience. Yet it places a burden on participants by requiring immediate …

Starting from the assumption that mood has a central role in domain-specific persuasion
systems for well-being, the main goal of this study was to investigate the feasibility and …

Biofeedback interfaces enable dynamic representations of bodily data using sensors and
actuators to actively control complex physiological activities. These provide individuals with …