{"id":5817,"date":"2024-09-18T23:23:32","date_gmt":"2024-09-18T14:23:32","guid":{"rendered":"https:\/\/carelab.info\/?p=5817"},"modified":"2025-02-16T15:57:03","modified_gmt":"2025-02-16T06:57:03","slug":"we-gave-a-presentation-at-acii-2024","status":"publish","type":"post","link":"https:\/\/carelab.info\/en\/2024\/09\/18\/we-gave-a-presentation-at-acii-2024\/","title":{"rendered":"Our research presented at ACII 2024"},"content":{"rendered":"<p>Our collaborator, Melissa Steininger (Bonn-Rhein-Sieg University), presented at the <a href=\"https:\/\/acii-conf.net\/2024\/\">12th International Conference on Affective Computing &amp; Intelligent Interaction (ACII 2024)<\/a>, held in Glasgow, UK, from September 15 to 18, 2024. This presentation was the result of a collaborative research effort between our laboratory, Bonn-Rhein-Sieg University, and Simon Fraser University.<\/p>\n<ul>\n<li>Melissa Steininger, Monica Perusquia-Hernandez, Alexander Marquardt, Hiromu Otsubo, Marvin Lehnort, Felix Dollack, Kiyoshi Kiyokawa, Ernst Kruijff, Bernhard Riecke,<br \/>\n<strong>&#8220;Using Skin Conductance to Predict Awe and Perceived Vastness in Virtual Reality&#8221;<br \/>\n<\/strong><strong>(Abstract) <\/strong>Awe is an emotion characterized by the perception of vastness and the need to accommodate this vastness into one&#8217;s mental framework. We propose an elicitation scene to induce awe in Virtual Reality (VR), validate it through self-report, and explore the feasibility of using skin conductance to predict self-reported awe and vastness as labeled from the stimuli in VR. Sixty-two participants took part in the study comparing the awe-eliciting space scene and a neutral scene. The space scene was confirmed as more awe-eliciting. A k-nearest neighbor algorithm confirmed high and low-awe score clusters used to label the data. A Random Forest algorithm achieved 65% accuracy (F1 = 0.56, AUC = 0.73) when predicting the self-reported low and high awe categories from continuous skin conductance data. A similar approach achieved 55% accuracy (F1 = 0.59, AUC = 0.56) when predicting the perception of vastness. These results underscore the potential of skin-conductance-based algorithms to predict awe.<\/li>\n<\/ul>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-5819\" src=\"https:\/\/carelab.info\/wp-content\/uploads\/2025\/02\/ACII2024_Melissa.jpg\" alt=\"\" width=\"1128\" height=\"748\" srcset=\"https:\/\/carelab.info\/wp-content\/uploads\/2025\/02\/ACII2024_Melissa.jpg 1128w, https:\/\/carelab.info\/wp-content\/uploads\/2025\/02\/ACII2024_Melissa-300x199.jpg 300w, https:\/\/carelab.info\/wp-content\/uploads\/2025\/02\/ACII2024_Melissa-768x509.jpg 768w\" sizes=\"(max-width: 1128px) 100vw, 1128px\" \/><\/p>","protected":false},"excerpt":{"rendered":"<p>Our collaborator, Melissa Steininger (Bonn-Rhein-Sieg University), presented at the 12th International Conference on Affective Computing &amp; Intelligent Interaction (ACII 2024), held in Glasgow, UK, from September 15 to 18, 2024. This presentation was the result of a collaborative research effort <a class=\"more-link\" href=\"https:\/\/carelab.info\/en\/2024\/09\/18\/we-gave-a-presentation-at-acii-2024\/\">More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pgc_meta":""},"categories":[1],"tags":[],"aioseo_notices":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/posts\/5817"}],"collection":[{"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/comments?post=5817"}],"version-history":[{"count":3,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/posts\/5817\/revisions"}],"predecessor-version":[{"id":5878,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/posts\/5817\/revisions\/5878"}],"wp:attachment":[{"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/media?parent=5817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/categories?post=5817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carelab.info\/en\/wp-json\/wp\/v2\/tags?post=5817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}