1.0IT:Uhttps://it-u.at/en/rich600338<blockquote class="wp-embedded-content" data-secret="1gpUPux3I3"><a href="https://it-u.at/en/persons/students/martin-moser/">Martin Moser</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://it-u.at/en/persons/students/martin-moser/embed/#?secret=1gpUPux3I3" width="600" height="338" title="“Martin Moser” — IT:U" data-secret="1gpUPux3I3" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); </script> Short bio: Martin Moser is a PhD student in the Geo-social AI lab at IT:U. His work focuses on analyzing human perceptions of urban environments through psychophysiological reactions, captured through wearable sensing technology. This includes the development of (explainable) AI systems for classifying physiological reactions and putting these into an environmental context through multimodal data […]https://it-u.at/wp-content/uploads/2024/09/09/itu-og-image.jpg1200630