{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Venkat Padmanabhan","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/padmanab\/","title":"AutoSens: Inferring Latency Sensitivity of User Activity through Natural Experiments - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"gLyWGzVQHd\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/autosens-inferring-latency-sensitivity-of-user-activity-through-natural-experiments\/\">AutoSens: Inferring Latency Sensitivity of User Activity through Natural Experiments<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/autosens-inferring-latency-sensitivity-of-user-activity-through-natural-experiments\/embed\/#?secret=gLyWGzVQHd\" width=\"600\" height=\"338\" title=\"&#8220;AutoSens: Inferring Latency Sensitivity of User Activity through Natural Experiments&#8221; &#8212; Microsoft Research\" data-secret=\"gLyWGzVQHd\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"We consider the problem of inferring the latency sensitivity of user activity in the context of interactive online services. Our method relies on natural experiments, i.e., leveraging the variation in user experienced latency seen in the normal course. At its core, our technique, dubbed AutoSens, compares the distribution of latency of the user actions actually [&hellip;]"}