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Naslov:Protocol of the study for predicting empathy during VR sessions using sensor data and machine learning
Avtorji:ID Kizhevska, Emilija, Institut Jožef Stefan (Avtor)
ID Šparemblek, Kristina, Institut Jožef Stefan (Avtor)
ID Luštrek, Mitja, Institut Jožef Stefan (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0307385
 
.pdf PDF - Predstavitvena datoteka, prenos (1,12 MB)
MD5: 37ABA84E44BC85A6913B3E49963BB83C
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo IJS - Institut Jožef Stefan
Povzetek:Virtual reality (VR) technology is often referred to as the ‘ultimate empathy machine’ due to its capability to immerse users in alternate perspectives and environments beyond their immediate physical reality. In this study, participants will be immersed in 3-dimensional 360˚ VR videos where actors express different emotions (sadness, happiness, anger, and anxiousness). The primary objective is to investigate the potential relationship between participants’ empathy levels and the changes in their physiological attributes. The empathy levels will be self-reported with questionnaires, and physiological attributes will be measured using different sensors. The main outcome of the study will be a machine learning model to predict a person’s empathy level based on their physiological responses while watching VR videos. Despite the existence of established methodologies and metrics in research and clinical domains, our aim is to contribute to addressing the gap of a universally accepted “gold standard” for assessing empathy. Additionally, we expect to deepen our understanding of the relationship between different emotions and psychological attributes, gender differences in empathy, and the impact of narrative context on empathic responses.
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:11.10.2023
Datum sprejetja članka:02.07.2024
Datum objave:18.07.2024
Založnik:PLOS
Leto izida:2024
Št. strani:19 str.
Številčenje:July
Izvor:ZDA
PID:20.500.12556/DiRROS-19676 Novo okno
UDK:004.7
ISSN pri članku:1932-6203
DOI:10.1371/journal.pone.0307385 Novo okno
COBISS.SI-ID:202535683 Novo okno
Avtorske pravice:© 2024 Kizhevska et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Opomba:Opis vira z dne 23. 07. 2024;
Datum objave v DiRROS:23.07.2024
Število ogledov:273
Število prenosov:119
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:PloS one
Založnik:Public Library of Science
ISSN:1932-6203
COBISS.SI-ID:2005896 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Program financ.:mladi raziskovalci
Številka projekta:PR-12879

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:strojno učenje, virtualna resničnost, predvidevanje


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