{"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\/ja\/2024\/09\/18\/we-gave-a-presentation-at-acii-2024\/","title":{"rendered":"ACII 2024 \u306b\u3066\u767a\u8868\u3057\u307e\u3057\u305f"},"content":{"rendered":"<p>\u5171\u540c\u7814\u7a76\u8005\u306e Melissa Steininger (\u30dc\u30f3\u30fb\u30e9\u30a4\u30f3\u30fb\u30b8\u30fc\u30af\u5927\u5b66) \u304c\u30012024\u5e749\u670815\u65e5\u304b\u308918\u65e5\u306b\u304b\u3051\u3066\u30a4\u30ae\u30ea\u30b9\u30fb\u30b0\u30e9\u30b9\u30b4\u30fc\u3067\u958b\u50ac\u3055\u308c\u305fThe 12th International Conference on Affective Computing &amp; Intelligent Interaction (ACII 2024) \u306b\u3066\u767a\u8868\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u5f53\u7814\u7a76\u5ba4\u3001\u30dc\u30f3\u30fb\u30e9\u30a4\u30f3\u30fb\u30b8\u30fc\u30af\u5927\u5b66\u3001\u30b5\u30a4\u30e2\u30f3\u30fb\u30d5\u30ec\u30fc\u30b6\u30fc\u5927\u5b66\u306e\u5171\u540c\u7814\u7a76\u306e\u6210\u679c\u3067\u3059\u3002<\/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&#8220;<strong>Using Skin Conductance to Predict Awe and Perceived Vastness in Virtual Reality<\/strong>,&#8221;<strong><br \/>\n(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>\u5171\u540c\u7814\u7a76\u8005\u306e Melissa Steininger (\u30dc\u30f3\u30fb\u30e9\u30a4\u30f3\u30fb\u30b8\u30fc\u30af\u5927\u5b66) <a class=\"more-link\" href=\"https:\/\/carelab.info\/ja\/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\/ja\/wp-json\/wp\/v2\/posts\/5817"}],"collection":[{"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/comments?post=5817"}],"version-history":[{"count":3,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/posts\/5817\/revisions"}],"predecessor-version":[{"id":5878,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/posts\/5817\/revisions\/5878"}],"wp:attachment":[{"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/media?parent=5817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/categories?post=5817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carelab.info\/ja\/wp-json\/wp\/v2\/tags?post=5817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}