<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6a4b9556c9f34e7581407a8cb1653778&quot; frameborder=&quot;0&quot; width=&quot;1512&quot; height=&quot;1134&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1134</height><width>1512</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1134</thumbnail_height><thumbnail_width>1512</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6a4b9556c9f34e7581407a8cb1653778-00001.gif</thumbnail_url><duration>224.581</duration><title>Exploring Emotion Detection and Empathy in Conversations</title><description>In this Loom, I demonstrate a new app that allows users to have meaningful conversations within a time limit. The app includes over 15 emotions that users can choose to feel at the end of the conversation. I showcase a use case where the app helps users feel grateful in a stressful situation. Additionally, I explain how we have created a new capability called &quot;empathy work&quot; that utilizes emotional detection and time tracking to enhance conversations. At the end, I share a technical diagram and discuss our original contributions to the project.</description></oembed>