Pregled bibliografske jedinice broj: 939744
Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report
Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report // Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018 / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018. str. 1175-1179 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 939744 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report
Autori
Horvat, Marko ; Dobrinić, Marko ; Novosel, Matej ; Jerčić, Petar
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018, 1175-1179
ISBN
978-953-233-096-0
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Affective Multimedia Databases, Virtual Reality, Human-Computer Interaction, Affective Computing, EEG, Psychophysiology
Sažetak
We report on a pilot study involving emotion elicitation in virtual reality (VR) and assessment of emotional responses with a consumer-grade EEG device. The stimulation used HTC Vive VR system showing pictures from NAPS database within a specifically designed virtual environment. The stimulation consisted of two distinct sequences with 10 pictures of happiness and 10 pictures of fear. Each picture was contained in a separate virtual room that the participants traveled through along a preset path. The estimation employed EMOTIV EPOC+ 14- channel EEG headset and a custom- developed application. The software wirelessly received EEG signals from alpha, beta low, beta high, gamma and theta bands, time-stamped them and dynamically stored in a relational database for subsequent analysis. Our preliminary results show that statistically significant correlations between valence and arousal ratings of pictures and EEG bands are present but highly personalized. Simultaneous correct placement of VR and EEG headsets is demanding and precise localization of electrodes is difficult. In fact, if emotion estimation is not strictly necessary we recommend using devices with fewer electrodes. Nevertheless, we found the EEG to be effective. By acknowledging its limitations, and using the headset in the correct context, experiments involving emotions may be significantly amended.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
