Emotional Virtual Reality Stroop Task

Deniz Mevlevioglu; Sabin Tabirca; David Murphy

doi:10.1109/PerComWorkshops56833.2023.10150350

Emotional Virtual Reality Stroop Task

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

Anxiety classification in VirtualReality using biosensors is an ongoing challenge for the area. This paperpresents the development and validation of a Virtual Reality version of thewell-established cognitive task; the Emotional Stroop Colour-Word Task. Thisenvironment aims to be able to differentiate between varying states of anxietyof the user. The task is split into three 'stages' to correspond with threedifferent states; no anxiety, low anxiety and anxiety. To validate whether theenvironment can accurately separate between these states, we have used arepeated measures design comparing each stage based on the mean (1) averageelectrodermal activity, (2) average self-reported measure of anxiety, and (3)average performance of the users in the stage. Repeated measures ANOVA resultsshow that there is a significant difference between stages in electrodermalactivity and self-reported anxiety, but not in response time. This signifiesthat it might be possible to record different anxiety states using theapplication. Further research must be conducted to test this hypothesis.

Original language	English
Title of host publication	2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	172-177
Number of pages	6
ISBN (Electronic)	9781665453813
DOIs	https://doi.org/10.1109/PerComWorkshops56833.2023.10150350
Publication status	Published - 2023
Event	2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 - Atlanta, United States Duration: 13 Mar 2023 → 17 Mar 2023

Publication series

Name	2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

Conference

Conference	2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Country/Territory	United States
City	Atlanta
Period	13/03/23 → 17/03/23

Keywords

anxiety
biosensors
EEG
GSR
PPG
Stroop
VR

Access to Document

10.1109/PerComWorkshops56833.2023.10150350

Cite this

Mevlevioglu, D., Tabirca, S., & Murphy, D. (2023). Emotional Virtual Reality Stroop Task. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 (pp. 172-177). (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PerComWorkshops56833.2023.10150350

Mevlevioglu, Deniz ; Tabirca, Sabin ; Murphy, David. / Emotional Virtual Reality Stroop Task. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 172-177 (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023).

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title = "Emotional Virtual Reality Stroop Task",

abstract = "Anxiety classification in VirtualReality using biosensors is an ongoing challenge for the area. This paperpresents the development and validation of a Virtual Reality version of thewell-established cognitive task; the Emotional Stroop Colour-Word Task. Thisenvironment aims to be able to differentiate between varying states of anxietyof the user. The task is split into three 'stages' to correspond with threedifferent states; no anxiety, low anxiety and anxiety. To validate whether theenvironment can accurately separate between these states, we have used arepeated measures design comparing each stage based on the mean (1) averageelectrodermal activity, (2) average self-reported measure of anxiety, and (3)average performance of the users in the stage. Repeated measures ANOVA resultsshow that there is a significant difference between stages in electrodermalactivity and self-reported anxiety, but not in response time. This signifiesthat it might be possible to record different anxiety states using theapplication. Further research must be conducted to test this hypothesis.",

keywords = "anxiety, biosensors, EEG, GSR, PPG, Stroop, VR",

author = "Deniz Mevlevioglu and Sabin Tabirca and David Murphy",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 ; Conference date: 13-03-2023 Through 17-03-2023",

year = "2023",

doi = "10.1109/PerComWorkshops56833.2023.10150350",

language = "English",

series = "2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Mevlevioglu, D , Tabirca, S & Murphy, D 2023, Emotional Virtual Reality Stroop Task. in 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023, Institute of Electrical and Electronics Engineers Inc., pp. 172-177, 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023, Atlanta, United States, 13/03/23. https://doi.org/10.1109/PerComWorkshops56833.2023.10150350

Emotional Virtual Reality Stroop Task. / Mevlevioglu, Deniz ; Tabirca, Sabin ; Murphy, David.
2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 172-177 (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

T1 - Emotional Virtual Reality Stroop Task

AU - Mevlevioglu, Deniz

AU - Tabirca, Sabin

AU - Murphy, David

PY - 2023

Y1 - 2023

N2 - Anxiety classification in VirtualReality using biosensors is an ongoing challenge for the area. This paperpresents the development and validation of a Virtual Reality version of thewell-established cognitive task; the Emotional Stroop Colour-Word Task. Thisenvironment aims to be able to differentiate between varying states of anxietyof the user. The task is split into three 'stages' to correspond with threedifferent states; no anxiety, low anxiety and anxiety. To validate whether theenvironment can accurately separate between these states, we have used arepeated measures design comparing each stage based on the mean (1) averageelectrodermal activity, (2) average self-reported measure of anxiety, and (3)average performance of the users in the stage. Repeated measures ANOVA resultsshow that there is a significant difference between stages in electrodermalactivity and self-reported anxiety, but not in response time. This signifiesthat it might be possible to record different anxiety states using theapplication. Further research must be conducted to test this hypothesis.

AB - Anxiety classification in VirtualReality using biosensors is an ongoing challenge for the area. This paperpresents the development and validation of a Virtual Reality version of thewell-established cognitive task; the Emotional Stroop Colour-Word Task. Thisenvironment aims to be able to differentiate between varying states of anxietyof the user. The task is split into three 'stages' to correspond with threedifferent states; no anxiety, low anxiety and anxiety. To validate whether theenvironment can accurately separate between these states, we have used arepeated measures design comparing each stage based on the mean (1) averageelectrodermal activity, (2) average self-reported measure of anxiety, and (3)average performance of the users in the stage. Repeated measures ANOVA resultsshow that there is a significant difference between stages in electrodermalactivity and self-reported anxiety, but not in response time. This signifiesthat it might be possible to record different anxiety states using theapplication. Further research must be conducted to test this hypothesis.

KW - anxiety

KW - biosensors

KW - EEG

KW - GSR

KW - PPG

KW - Stroop

KW - VR

UR - https://www.scopus.com/pages/publications/85164123207

U2 - 10.1109/PerComWorkshops56833.2023.10150350

DO - 10.1109/PerComWorkshops56833.2023.10150350

M3 - Chapter

AN - SCOPUS:85164123207

T3 - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

SP - 172

EP - 177

BT - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

Y2 - 13 March 2023 through 17 March 2023

ER -

Mevlevioglu D , Tabirca S , Murphy D. Emotional Virtual Reality Stroop Task. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 172-177. (2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023). doi: 10.1109/PerComWorkshops56833.2023.10150350

Emotional Virtual Reality Stroop Task

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