Dr. Margaret Morris and Farzin Guilak at the Digital Health Group at Intel used the MyExperience tool to explore heart health, the physiological indicators of stress, and "active" mobile therapy (e.g., using the mobile phone to intervene during inferred times of patient stress).
From the article, "Mobile therapy—just-in-time coaching that is triggered by physiological indicators of stress—is the objective of Mobile Heart Health, an exploratory research project at Intel. The project aims to help people tune in to early signs of stress and modulate reactivity that could potentially damage their relationships and long-term health."
MyExperience Sensors
Morris used a variety of contextual MyExperience sensors to automatically assess stress level including location sensing, synchronization with calendaring applications, and a wearable ECG monitor (to track heart rate variability). The mobile therapy feedback "appear on the cell phone in response to cardiovascular signals (see Figure 1) or when the system detects contextual shifts associated with stress."
MyExperience User Interface
MyExperience Sensors
Morris used a variety of contextual MyExperience sensors to automatically assess stress level including location sensing, synchronization with calendaring applications, and a wearable ECG monitor (to track heart rate variability). The mobile therapy feedback "appear on the cell phone in response to cardiovascular signals (see Figure 1) or when the system detects contextual shifts associated with stress."
MyExperience User Interface
Morris also developed a variety of touchscreen feedback interfaces that allowed individuals to report their emotional states throughout the day. "The main mood scale was the 'Mood Map,', based on the circumplex model of emotion invites users to quickly indicate mood states according to valence and arousal (see Figure 3). These subjective reporting techniques were desirable as checks on sensors, and in their own right as brief windows for self-awareness.
To read more about this work, download the article directly here or browse the IEEE Pervasive Computing magazine that published it here.
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