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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>Pablo Paredes, Stanford University &#x2013; &#x201C;&#x201C;Pervasive Wellbeing Technology: Unobtrusive Sensors and Interventions for Stress Management &#x201C;&#x201D; - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/event/pablo-paredes-stanford-university-pervasive-wellbeing-technology-unobtrusive-sensors-and-interventions-for-stress-management/"&gt;Pablo Paredes, Stanford University &#x2013; &#x201C;&#x201C;Pervasive Wellbeing Technology: Unobtrusive Sensors and Interventions for Stress Management &#x201C;&#x201D;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/event/pablo-paredes-stanford-university-pervasive-wellbeing-technology-unobtrusive-sensors-and-interventions-for-stress-management/embed/" width="600" height="338" title="&#x201C;Pablo Paredes, Stanford University &#x2013; &#x201C;&#x201C;Pervasive Wellbeing Technology: Unobtrusive Sensors and Interventions for Stress Management &#x201C;&#x201D;&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>AbstractAs society progresses towards increasing levels of embedded, ubiquitous, and autonomous computation, one key societal opportunity is to leverage this technology to maximize human wellbeing. The challenge for wellbeing technology is two-fold, how to precisely measure wellbeing, and how to deliver long-term engaging interventions to optimize wellbeing states and their fundamental components, such as stress.&hellip;</description></oembed>
